<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="review-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">Vessel Plus.</journal-id>
      <journal-id journal-id-type="publisher-id">vp</journal-id>
      <journal-title-group>
        <journal-title>Vessel Plus</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2574-1209</issn>
      <publisher>
        <publisher-name>OAE Publishing Inc.</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.20517/2574-1209.2025.112</article-id>
      <article-id pub-id-type="publisher-id">VP-2025-112</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Research progress on electrochemical immunosensors for the detection of cardiovascular biomarkers</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Zhang</surname>
            <given-names>Jiarui</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I2">
            <sup>2</sup>
          </xref>
          <xref ref-type="aff" rid="I1035">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Wang</surname>
            <given-names>Sen</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I1051">
            <sup>3#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zeng</surname>
            <given-names>Yue</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
          <xref ref-type="aff" rid="I1035">
            <sup>#</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Lan</surname>
            <given-names>Hualin</given-names>
          </name>
          <xref ref-type="aff" rid="I4">
            <sup>4</sup>
          </xref>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Zang</surname>
            <given-names>Guangchao</given-names>
          </name>
          <xref ref-type="aff" rid="I1">
            <sup>1</sup>
          </xref>
        </contrib>
      </contrib-group>
      <aff id="I1"><sup>1</sup>Experimental Teaching and Management Center, Chongqing Medical University, Chongqing 404100, China.</aff>
      <aff id="I2"><sup>2</sup>School of Pharmacy, Chongqing Medical University, Chongqing 404100, China.</aff>
      <aff id="I3"><sup>3</sup>School of Biomedical Engineering, Chongqing Medical University, Chongqing 404100, China.</aff>
      <aff id="I4"><sup>4</sup>Chongqing Quality Testing &amp; Inspection Center for Medical Devices, Chongqing 401147, China.</aff>
      <aff id="I1035"><sup>#</sup>Indicates that these authors contributed equally to this work.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Prof. Guangchao Zang, Experimental Teaching and Management Center, Chongqing Medical University, Chongqing 404100, China. E-mail: <email>zangguangchao@cqmu.edu.cn</email>; Hualin Lan, Chongqing Quality Testing &amp; Inspection Center for Medical Devices, Chongqing 401147, China. E-mail: <email>lanhualin87@126.com</email></corresp>
        <fn fn-type="other">
          <p><bold>Received:</bold> 20 Aug 2025 | <bold>First Decision:</bold> 13 Feb 2026 | <bold>Revised:</bold> 17 Mar 2026 | <bold>Accepted:</bold> 17 Apr 2026 | <bold>Published:</bold> 10 Jun 2026</p>
        </fn>
        <fn fn-type="other">
          <p><bold>Academic Editor:</bold> Nicola Ferri | <bold>Copy Editor:</bold> Ping Zhang | <bold>Production Editor:</bold> Ping Zhang</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>10</day>
        <month>6</month>
        <year>2026</year>
      </pub-date>
      <volume>10</volume>
      <elocation-id>31</elocation-id>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026.<bold>Open Access</bold>This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Cardiovascular diseases (CVDs) are among the leading causes of global morbidity and mortality, placing a substantial burden on public health and socioeconomic development. Early and accurate diagnosis is essential for reducing CVDs mortality and optimizing individualized treatment strategies. Although conventional detection methods, such as enzymatic analysis and immunoassays, have reached a relative level of maturity in clinical applications, they are still constrained by high costs, complex procedures, and limited real-time capabilities. In recent years, electrochemical immunosensors have shown significant potential for detecting CVD-related biomarkers, owing to their advantages of high sensitivity, excellent selectivity, rapid response, and portability. In this review, we explore the latest advancements in electrochemical immunosensors for CVDs research, analyze innovative designs and fabrication techniques for various sensor types, and summarize their applications in detecting CVD-related biomarkers.</p>
      </abstract>
      <kwd-group>
        <kwd>Label-free electrochemical immunosensors</kwd>
        <kwd>labeled electrochemical immunosensors</kwd>
        <kwd>cardiovascular diseases</kwd>
        <kwd>disease biomarkers</kwd>
        <kwd>point-of-care testing</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Cardiovascular diseases (CVDs) encompass a range of chronic conditions that impact the heart and vascular system, primarily including hypertension, atherosclerosis, and myocardial infarction. These diseases remain among the leading causes of death globally<sup>[<xref ref-type="bibr" rid="B1">1</xref>,<xref ref-type="bibr" rid="B2">2</xref>]</sup>. According to statistics from the World Heart Federation, CVDs are responsible for approximately 17.3 million deaths each year, accounting for about 32% of total global mortality. Projections indicate that by 2030, the number of deaths related to CVDs will rise to 23.6 million, thereby exacerbating the burden on public health systems<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup>. Biomarkers play a crucial role in the early screening, auxiliary diagnosis, and risk assessment of CVDs<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup>. These molecules, including proteins, nucleic acids, and various other bioactive substances<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup>, are primarily found in biological samples such as blood<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> and saliva<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup>. Although traditional rapid analysis methods, such as Raman spectroscopy<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> and fluorescence detection<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup>, demonstrate commendable analytical performance under laboratory conditions, they still exhibit significant limitations in practical applications. Raman spectroscopy typically relies on high-precision optical equipment, requires prolonged acquisition times, and is susceptible to interference from complex biological matrices, thereby adversely affecting detection sensitivity and accuracy<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>]</sup>. Fluorescence detection often depends on exogenous dyes or probes, increasing operational complexity and potentially compromising the reliability of detection results due to background noise and insufficient probe stability<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup>. While traditional techniques such as liquid chromatography-selected reaction monitoring (LC-SRM)<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup>, enzyme-linked immunosorbent assay (ELISA)<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup>, and Western blot<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> can quantitatively analyze CVD-related biomarkers, they often involve cumbersome procedures and lack adequate real-time detection capabilities. Consequently, their use in rapid screening for critical and emergency care scenarios is restricted. Currently, assistive diagnostic technologies for CVDs have significant potential for improvement in sensitivity, timeliness, and clinical accessibility. Innovative research aimed at the early detection of CVD-related biomarkers will play a crucial role in advancing clinical diagnosis and treatment<sup>[<xref ref-type="bibr" rid="B16">16</xref>,<xref ref-type="bibr" rid="B17">17</xref>]</sup>.</p>
      <p>In recent years, with the continuous development of precision medicine, novel detection technologies targeting specific biomarkers have emerged<sup>[<xref ref-type="bibr" rid="B18">18</xref>,<xref ref-type="bibr" rid="B19">19</xref>]</sup>. Electrochemical immunosensors utilize the specific recognition between antigens and antibodies to convert biological recognition events into measurable electrochemical signals, thereby enabling the highly sensitive detection of biomarkers<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup>. Compared with traditional methods, electrochemical immunosensors generally exhibit higher sensitivity and faster response times. They show promising potential for applications, particularly in trace analysis and the detection of complex biological samples<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup>, while addressing limitations associated with prolonged measurement times and insufficient dye stability. Additionally, electrochemical immunosensors provide significant advantages, including ease of operation, reduced costs, and the elimination of the need for expensive optical equipment. These features make them particularly valuable for clinical diagnostics and primary healthcare, especially in rapid screening situations during emergencies. Furthermore, these sensors can minimize the preprocessing steps necessary for complex biological sample testing, thereby enhancing detection efficiency and clinical usability. Electrochemical immunosensors can be categorized into two primary types based on their labeling strategies<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>: label-free and labeled immunosensors. Label-free electrochemical immunosensors do not require the introduction of exogenous labels, allowing for in situ dynamic monitoring of antigen-antibody binding processes. These sensors offer several advantages, including straightforward operation, rapid response times, and suitability for portable detection<sup>[<xref ref-type="bibr" rid="B23">23</xref>,<xref ref-type="bibr" rid="B24">24</xref>]</sup>. However, their performance may be constrained in high-sensitivity detection scenarios due to limited signal amplification, posing challenges for trace analysis and detection in complex matrices. In contrast, labeled electrochemical immunosensors significantly enhance detection sensitivity and reduce detection limits by incorporating labeled secondary antibodies or other signal amplification elements<sup>[<xref ref-type="bibr" rid="B25">25</xref>-<xref ref-type="bibr" rid="B27">27</xref>]</sup>. Overall, both types of electrochemical immunosensors have been extensively utilized in the detection of CVD-related biomarkers.</p>
      <p>In this review, we systematically summarize the latest advances in electrochemical immunosensors for the detection of CVD-related biomarkers. The article outlines core strategies for nanomaterial modification and signal amplification, while summarizing their application characteristics and clinical value across various CVDs [<xref ref-type="fig" rid="fig1">Figure 1</xref>]. In particular, it provides an in-depth analysis of the current bottlenecks hindering clinical translation and explores future development directions. Finally, this review provides a solid theoretical foundation and practical guidance for subsequent research and clinical applications in this field.</p>
      <fig id="fig1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Electrochemical Immunosensors for Detecting CVD-related biomarkers. Created with BioRender. Wang S (2026) <uri xlink:href="https://BioRender.com/mofcq6e">https://BioRender.com/mofcq6e</uri>. CVD: Cardiovascular disease; cTn: cardiac troponin; Myo: myoglobin; H-FABP: heart-type fatty acid-binding protein; LDL: low-density lipoprotein; CRP: C-reactive protein; IL-6: interleukin-6; ALD: aldosterone; ENac: epithelial sodium channel; CNTs: carbon nanotubes; MOFs: metal-organic frameworks; CK-MB: creatine Kinase-MB; AuNPs: gold nanoparticles.</p>
        </caption>
        <graphic xlink:href="vp50112.fig.1.jpg"/>
      </fig>
    </sec>
    <sec id="sec2">
      <title>ELECTROCHEMICAL IMMUNOSENSORS</title>
      <p>An electrochemical immunosensor is a type of biosensor that integrates electrochemical detection technology with immunological reactions. Its principle is based on the specific recognition between antigens and antibodies, which converts the concentration of the analytes into detectable electrochemical signals, thereby facilitating the qualitative or quantitative detection of the target analyte<sup>[<xref ref-type="bibr" rid="B24">24</xref>,<xref ref-type="bibr" rid="B28">28</xref>]</sup>. Compared with other electrochemical biosensors, electrochemical immunosensors demonstrate higher selectivity and sensitivity towards target biomarkers. Consequently, these sensors can achieve efficient and accurate detection even in complex matrices such as blood<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup>. Capitalizing on these advantages, electrochemical immunosensors have found widespread application in the detection of CVD-related biomarkers. Based on the use of labels to assist signal detection, electrochemical immunosensors can be classified into label-free and labeled types.</p>
      <sec id="sec2-1">
        <title>Label-free electrochemical immunosensors</title>
        <p>Label-free electrochemical immunosensors (LFEIs) detect target analytes through electrochemical signal changes induced by specific antigen-antibody binding, thus eliminating the need for auxiliary labels such as enzymes, fluorescent probes, or nanomarkers<sup>[<xref ref-type="bibr" rid="B30">30</xref>,<xref ref-type="bibr" rid="B31">31</xref>]</sup>. This “label-free” approach significantly simplifies sensor preparation and operational procedures while enhancing detection efficiency and reducing costs. Additionally, it mitigates potential instability introduced by labeling substances. In recent years, this technology has made remarkable progress in laboratory diagnostics and point-of-care testing (POCT) applications<sup>[<xref ref-type="bibr" rid="B32">32</xref>-<xref ref-type="bibr" rid="B34">34</xref>]</sup>.</p>
        <p>In the realm of materials, metallic nanomaterials and carbon nanotubes are widely used to enhance the conductivity at electrode interfaces and the loading capacity for biomolecules. This enhancement leads to lower detection limits and improved sensitivity in various applications<sup>[<xref ref-type="bibr" rid="B35">35</xref>-<xref ref-type="bibr" rid="B37">37</xref>]</sup>. Oliveira <italic>et al.</italic> developed a LFEI that employed gold nanoparticle modification for the detection of low-density lipoprotein (LDL)<sup>[<xref ref-type="bibr" rid="B38">38</xref>]</sup>. By incorporating gold nanoparticles, the research team significantly increased the specific surface area of the electrode substrate, thereby enhancing the loading capacity of anti-LDL monoclonal antibodies and providing more antigen-antibody binding sites. In terms of applications, LFEIs are widely used for the detection of clinical biomarkers, such as LDL and C-reactive protein (CRP), which aid in the diagnosis of CVDs. Guillem <italic>et al.</italic> developed a LFEI utilizing screen-printed electrodes for the quantitative detection of CRP<sup>[<xref ref-type="bibr" rid="B34">34</xref>]</sup>. This label-free approach simplifies the detection process into three steps: sample addition, incubation, and electrochemical detection, significantly reducing the time required for a single test. Furthermore, the absence of labels considerably lowers the fabrication costs of the sensor. These advantages render LFEIs highly applicable in clinical biomarker detection, particularly in the realm of POCT.</p>
      </sec>
      <sec id="sec2-2">
        <title>Labeled electrochemical immunosensors</title>
        <p>Labeled electrochemical immunosensors (LEIs) enhance the electrochemical signals produced by antigen-antibody interactions through the introduction of specific labels, such as enzymes, conjugated polymers, and noble metal nanoparticles. When applied to CVD-related biomarker detection, these sensors typically utilize a sandwich configuration<sup>[<xref ref-type="bibr" rid="B39">39</xref>,<xref ref-type="bibr" rid="B40">40</xref>]</sup>. In comparison to label-free sensors, the inclusion of specific labels significantly amplifies the signals, thereby improving sensitivity and selectivity. This approach provides substantial advantages for accurate detection in laboratory environments.</p>
        <p>Enzyme-LEIs represent the most prevalent category of LEIs. Martins <italic>et al.</italic> developed a LEI utilizing an Au-Reduced Graphene Oxide (rGO) composite material<sup>[<xref ref-type="bibr" rid="B41">41</xref>]</sup>. During the immunorecognition process, the target CA15-3 first binds specifically to Ab<sub>1</sub>, which is immobilized on the electrode surface. Subsequently, it combines with horseradish peroxidase (HRP)-labeled Ab<sub>2</sub> to form a stable Ab<sub>1</sub>-Ag-Ab<sub>2</sub>-HRP sandwich complex. In the detection phase, the enzyme-catalyzed reaction generates a stable current signal, enabling precise detection of the biomarker. Noble metal nanoparticles are important signal amplification materials that are widely employed in the construction of LEIs. Awan <italic>et al.</italic> utilized silver nanoparticles (AgNPs) conjugated with Ab<sub>2</sub> as signal labels. Following the formation of the Ab<sub>1</sub>-Ag-Ab<sub>2</sub> complex, quantitative analysis conducted through the oxidation current response of Ag<sup>0[<xref ref-type="bibr" rid="B42">42</xref>]</sup>. The incorporation of AgNPs significantly improved the sensor’s detection performance. Conjugated polymers exhibit promising application prospects due to their advantages, including facile preparation processes and high electrical conductivity. Song <italic>et al.</italic> developed a CPS@PANI@Au-BA (Carboxylated Polystyrene Spheres@ polyaniline@Au-BA) probe that utilizes PANI as the carrier for labeling secondary antibodies and constructed a LEI based on conductive conjugated polymer-supported gold nanoparticles<sup>[<xref ref-type="bibr" rid="B43">43</xref>]</sup>. This sensor demonstrated an ultra-low detection limit of 1.56 pg/mL, along with excellent selectivity, reproducibility, and long-term stability.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>ELECTROCHEMICAL IMMUNOSENSORS FOR CARDIOVASCULAR DISEASES</title>
      <p>CVDs represent a significant global public health challenge, contributing to both mortality and disability. These diseases encompass a range of pathological conditions that affect the heart and vascular system<sup>[<xref ref-type="bibr" rid="B44">44</xref>]</sup>. CVDs account for over one-third of total global deaths, and their morbidity and mortality risks continue to rise, particularly in aging populations and those with a high prevalence of metabolic syndrome<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup>. Among the various types of CVDs, hypertension<sup>[<xref ref-type="bibr" rid="B45">45</xref>]</sup>, atherosclerosis<sup>[<xref ref-type="bibr" rid="B46">46</xref>]</sup>, and myocardial infarction<sup>[<xref ref-type="bibr" rid="B47">47</xref>]</sup> are the most prevalent and life-threatening conditions.</p>
      <sec id="sec3-1">
        <title>Atherosclerosis</title>
        <p>Atherosclerosis (AS) is the primary pathological basis for various CVDs<sup>[<xref ref-type="bibr" rid="B48">48</xref>,<xref ref-type="bibr" rid="B49">49</xref>]</sup>. Biomarkers such as LDL<sup>[<xref ref-type="bibr" rid="B50">50</xref>]</sup>, CRP<sup>[<xref ref-type="bibr" rid="B51">51</xref>,<xref ref-type="bibr" rid="B52">52</xref>]</sup>, and Interleukin-6 (IL-6)<sup>[<xref ref-type="bibr" rid="B53">53</xref>]</sup> reflect different disease stages of AS, and their levels are closely correlated with lesion progression. Therefore, the accurate detection of these markers facilitates the early identification of AS at the subclinical stage and provides crucial evidence for personalized prevention, diagnosis, and intervention<sup>[<xref ref-type="bibr" rid="B54">54</xref>]</sup>. Novel electrochemical immunosensor-based detection technologies can offer technical support for the highly sensitive and rapid monitoring of these biomarkers, potentially advancing the development of early screening, diagnosis, and comprehensive health management for AS.</p>
        <sec id="sec3-1-1">
          <title>LDL/ox-LDL</title>
          <p>LDL and its oxidized form (ox-LDL) are critical in the initiation and progression of AS. LDL tends to accumulate beneath the vascular endothelium, where it undergoes further oxidation to form ox-LDL. The latter induces endothelial dysfunction, inflammatory responses, and immune activation. Additionally, ox-LDL can be internalized by macrophages via scavenger receptors, such as CD36, which promotes foam cell formation and further contributes to the development of atherosclerotic plaques<sup>[<xref ref-type="bibr" rid="B50">50</xref>,<xref ref-type="bibr" rid="B55">55</xref>]</sup>. Therefore, monitoring and effectively controlling serum LDL levels is of paramount importance for the prevention and treatment of AS.</p>
          <p>Traditional LFEIs often exhibit insufficient signal sensitivity, which restricts their application in LDL detection. To address this limitation, Luo <italic>et al.</italic> developed a LFEI utilizing a dual-enzyme-catalyzed silver deposition reaction for the detection of LDL levels in human serum<sup>[<xref ref-type="bibr" rid="B56">56</xref>]</sup>. The sensor captures LDL on a gold nanoparticle and poly-o-aminothiophenol film-modified electrode surface. Subsequently, cholesterol esterase and cholesterol oxidase catalyze the reaction to produce H<sub>2</sub>O<sub>2</sub>, which facilitates the reduction and deposition of silver ions, thereby enabling electrochemical detection of LDL. The incorporation of the enzyme-catalyzed signal amplification strategy significantly enhances the analytical performance of the sensor. However, the stability and activity of enzymes are influenced by environmental factors, and enzyme activity may diminish with prolonged use, potentially impacting the long-term stability and reproducibility of the sensor. In contrast, labeled electrochemical immunosensing strategies typically achieve higher sensitivity in LDL detection. Rudewicz-Kowalczyk <italic>et al.</italic> constructed a LEI utilizing antibody-ferrocene (Fc) conjugates<sup>[<xref ref-type="bibr" rid="B57">57</xref>]</sup>[<xref ref-type="fig" rid="fig2">Figure 2A</xref>]. They successfully immobilized the covalent conjugate of the Apolipoprotein B (ApoB) antibody and Fc onto the surface of a gold electrode, enabling it to serve as both the recognition element for LDL and the signal transduction element. The incorporation of the Fc label facilitated highly sensitive detection of LDL, achieving a detection limit as low as 0.53 ng/mL, which surpasses the performance of most reported electrochemical immunosensors. Furthermore, Fc exhibits highly reversible redox properties, allowing it to maintain stable electrochemical signals over extended periods, thereby enhancing the operational stability of the sensor. Overall, this strategy demonstrates significant potential for clinical translation. <xref ref-type="table" rid="t1">Table 1</xref> lists other electrochemical immunosensors for detecting LDL.</p>
          <fig id="fig2" position="float">
            <label>Figure 2</label>
            <caption>
              <p>(A) Schematic illustration of the conjugation procedure between the AbM-anti-apoB and ferrocene carboxylic N-hydroxysuccinimide ester (ferrocene-NHS). Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B57">57</xref>]</sup>; (B) Preparation and detection principle of reagent-free anti-fouling electrochemical immunosensor. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup> with permission from Copyright Clearance Center; (C) Schematic illustration for fabrication of electrochemical sensor on Ni/Fe-WS<sub>2</sub> modified SPCE and the detection of CRP based on gated electrochemical signal. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>; (D) Schematic of graphitic carbon electrode fabrication, surface modification and IL-6 capture. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B83">83</xref>]</sup>. NHS: N-hydroxysuccinimide; AbM: antibody monoclonal; BSA: bovine serum albumin; TCEP: tris(2-carboxyethyl)phosphine; EDC: 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride; CE: counter electrode; WE: working electrode; RE: reference electrode; SPCE: screen-printed carbon electrode; GO: graphene oxide; ErGO: electrochemically reduced graphene oxide; NH<sub>2</sub>-VMSF: amino-functionalized vertically-ordered mesoporous silica film; GA: glutaraldehyde; 1-PBA: 1-pyrenebutyric acid; IL-6: interleukin-6; CRP: C-reactive protein; SM: surfactant micelle; GC: glassy carbon.</p>
            </caption>
            <graphic xlink:href="vp50112.fig.2.jpg"/>
          </fig>
          <table-wrap id="t1">
            <label>Table 1</label>
            <caption>
              <p>Electrochemical Immunosensor for LDL detection</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>LDL</td>
      <td>AAB/NiO/ITO</td>
      <td>EIS</td>
      <td>0.015 μM</td>
      <td>0.018-0.5 μM</td>
      <td>[<xref ref-type="bibr" rid="B58">58</xref>]</td>
    </tr>
    <tr>
      <td>LDL<sup>-</sup></td>
      <td>PVF/AuNPs/MAb/BSA</td>
      <td>EIS</td>
      <td>3.50 μg/mL</td>
      <td>3.50-8.75 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B38">38</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>AAB/AuNPs-AgCl@PANI/GC</td>
      <td>EIS</td>
      <td>0.34 pg/mL</td>
      <td>0.34-13.4 ng/mL </td>
      <td>[<xref ref-type="bibr" rid="B59">59</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>Au/4-ATP/AbM/BSA</td>
      <td>EIS</td>
      <td>0.31 ng/mL</td>
      <td>-</td>
      <td>[<xref ref-type="bibr" rid="B60">60</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>Au/Cys/mAbs/BSA</td>
      <td>EIS<break/>SWV</td>
      <td>0.22 μg/mL</td>
      <td>0.5-18.0 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B61">61</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>A: DB/LDL/ApoB-Fc<break/>B: DB/MDA/LDL/ApoB-AQ</td>
      <td>DPV</td>
      <td>A: 0.2 ng/mL<break/>B: 0.1 ng/mL</td>
      <td>A: 0.001-1.0 ng/mL<break/>B: 0.01-10.0 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B62">62</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>Au-IDEs/anti-LDL/BSA</td>
      <td>EIS</td>
      <td>120 pg/mL</td>
      <td>50 pg/mL-500 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B63">63</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>PVF/AuNPs/MAb/BSA </td>
      <td>EIS</td>
      <td>20 mg/dL</td>
      <td>30-135 mg/dL</td>
      <td>[<xref ref-type="bibr" rid="B64">64</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>GCE/poly(oATP)/AuNPs/AAB/LDL/Ag</td>
      <td>LSV</td>
      <td>3.25 ng/mL</td>
      <td>10-1000 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B56">56</xref>]</td>
    </tr>
    <tr>
      <td>LDL</td>
      <td>Au/4-ATP/AbM-Fc/BSA</td>
      <td>SWV</td>
      <td>0.53 ng/mL</td>
      <td>0.01-1.0 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B57">57</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t1FN1">
                <p>AAB: Anti-apolipoprotein B antibody; PVF: polyvinyl ferrocene; PANI: polyaniline; GC: glassy carbon; MB: methylene blue; MDA: malondialdehyde; IDEs: interdigitated electrodes; HRP: horseradish peroxidase; ALP: alkaline phosphatase; ApoB: apolipoprotein B; Fc: ferrocene; LDL: low-density lipoprotein; LOD: limit of detection; EIS: electrochemical impedance spectroscopy; SWV: square wave voltammetry; LSV: linear sweep voltammetry; ITO: indium tin oxide electrode; BSA: bovine serum albumin; AuNPs: gold nanoparticles; ATP: adenosine triphosphate; GCE: glassy carbon electrode; AbM: antibody monoclonal; Cys: cysteine;  DB: dynabeads; MDA: malondialdehyde; AQ: anthraquinone.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="sec3-1-2">
          <title>CRP</title>
          <p>CRP serves not only as a sensitive acute-phase marker of systemic inflammation in the development and progression of AS, but also as a potential pro-inflammatory agent. Clinically, CRP has been widely used for risk stratification of AS, with elevated levels closely associated with acute coronary syndrome, plaque rupture, and recurrent cardiovascular events<sup>[<xref ref-type="bibr" rid="B65">65</xref>-<xref ref-type="bibr" rid="B67">67</xref>]</sup>. Therefore, CRP is an important biomarker for AS diagnosis and risk assessment, making its highly sensitive and accurate monitoring of significant importance.</p>
          <p>Nonspecific adsorption and biofouling in complex biological fluids, such as serum, plasma, and whole blood, represent significant bottlenecks that limit the practical application of electrochemical immunosensors. Constructing sensing platforms with excellent antifouling properties to achieve highly sensitive detection of biomarkers remains a critical technical challenge that requires urgent attention. Lu <italic>et al.</italic> developed a LFEI exhibiting outstanding antifouling performance for the sensitive detection of CRP<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup>[<xref ref-type="fig" rid="fig2">Figure 2B</xref>]. By constructing an antifouling coating [Amyloid- Bovine Serum Albumin-Gold Nanoparticles-PANI (AL-BSA/AuNPs/PANI)], this study effectively reduced nonspecific adsorption in plasma and whole blood, thereby enhancing the stability and reliability of the sensor in complex biological matrices. Additionally, the authors proposed a reagent-free operational mode: by pre-loading sodium dihydrogen phosphate on the electrode surface, the local pH can be automatically adjusted upon sample addition, eliminating the need for additional reagents and simplifying the detection process. This method is particularly suitable for POCT and rapid on-site analysis. The integrated application of novel nanomaterials can significantly enhance the detection performance of electrochemical immunosensors. Ma <italic>et al.</italic> constructed a LFEI for the sensitive detection of CRP<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>[<xref ref-type="fig" rid="fig2">Figure 2C</xref>]. The team innovatively combined electrochemically reduced graphene oxide (ErGO) with amino-functionalized vertically-ordered mesoporous silica nanochannel film (NH<sub>2</sub>-VMSF). In this system, ErGO serves as a “conductive adhesive bridge” that performs dual functions: it forms stable binding with the screen-printed carbon electrode substrate through hydrophobic interactions and π-π stacking effects, while simultaneously anchoring the mesoporous silica film firmly via condensation reactions between its surface oxygen-containing groups and the silanol groups of NH<sub>2</sub>-VMSF. This strategy effectively addresses the limitations of traditional VMSF, including easy detachment and insufficient conductivity when directly assembled on carbon electrode surfaces. Meanwhile, the excellent electron transfer capability of ErGO facilitates the rapid transmission of detection signals. The synergistic integration of these two nanomaterials significantly enhances the detection performance of the electrochemical immunosensor, offering a novel technical approach for the rapid detection of low-concentration CRP in complex biological matrices. <xref ref-type="table" rid="t2">Table 2</xref> lists other electrochemical immunosensors for detecting CRP.</p>
          <table-wrap id="t2">
            <label>Table 2</label>
            <caption>
              <p>Table of electrochemical immunosensors for detecting CRP</p>
            </caption>
            <table frame="hsides" rules="groups">
   <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	 </thead>
	<tbody>
    <tr>
      <td>CRP</td>
      <td>Au/f-MWCNTs/Ab/BSA</td>
      <td>DPV</td>
      <td>PBS: 0.745 µg/mL<break/>Whole blood: 0.177 µg/mL</td>
      <td>PBS: 1.25-80 µg/mL<break/>Whole blood: 0.005-10 µg/mL</td>
      <td>[<xref ref-type="bibr" rid="B70">70</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>GE/ErGO/PTyr</td>
      <td>DPV</td>
      <td>1.25 μg/L</td>
      <td>1.09-100 μg/L</td>
      <td>[<xref ref-type="bibr" rid="B71">71</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>Ab/GA/NH<sub>2</sub>-VMSF/ErGO/SPCE</td>
      <td>DPV</td>
      <td>8 pg/mL</td>
      <td>10 pg/mL-100 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B69">69</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>BSA/CRP-Ab/OLC-PAN/GCE</td>
      <td>DPV</td>
      <td>0.9 fg/mL</td>
      <td>0.94 pg/mL-30 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B72">72</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>PET/Ag/CeO<sub>2</sub>-NRs/Anti-CRP/BSA </td>
      <td>DPV</td>
      <td>0.18 ng/mL</td>
      <td>0.3-7.0 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B73">73</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>CSPE-COOH-AuNPs/Anti-CRP/BSA</td>
      <td>DPV</td>
      <td>0.058 μg/mL</td>
      <td>1-100 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B34">34</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>SPCE/COF-PtRuC/Anti-CRP/BSA</td>
      <td>AMP</td>
      <td>0.1 ng/mL</td>
      <td>0.2-20 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B74">74</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>Au-N-CNSs/AuPtRh NBCs/Anti-CRP/BSA</td>
      <td>DPV</td>
      <td>7.70 pg/mL</td>
      <td>0.01 ng/mL-100 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B75">75</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>GCE/MB-Ab₁/CRP/Ab<sub>2</sub>-IrNPs/GO</td>
      <td>DPV</td>
      <td>3.3 pg/mL</td>
      <td>0.01-100 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B76">76</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>LIG/Mx-AuNPs/Ab/BSA</td>
      <td>DPV</td>
      <td>1.45 pg/mL</td>
      <td>0.01-10,000 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B77">77</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>Ab/AL-BSA/AuNPs/PANI/SPCE</td>
      <td>DPV</td>
      <td>0.09 μg/mL</td>
      <td>0.1-25 μg/mL</td>
      <td>[<xref ref-type="bibr" rid="B68">68</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>Cu-MWCNT-Gra@rGO/AuNPs/Anti-CRP/BSA/CRP/QC-Ab<sub>2</sub></td>
      <td>DPV</td>
      <td>81 pg/mL</td>
      <td>0.20-100 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B78">78</xref>]</td>
    </tr>
    <tr>
      <td>CRP</td>
      <td>anti-CRP/CRP/BSA/anti-CRP/AuNPs@CoFe/N-GCT/GCE</td>
      <td>DPV</td>
      <td>166.7 pg/mL</td>
      <td>0.5-200 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B79">79</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t2FN1">
                <p>PTyr: Polytyrosine; f-MWCNTs: functionalized multi-walled carbon nanotubes; ePAD: electrochemical paper-based analytical device; AAO: anodic aluminum oxide; QC: anthraquinone dicarboxylic acid; Gra: graphene; L-Asp: L-aspartic acid; COF: covalent organic framework; NPCNSs: nitrogen-doped porous carbon nanosheets; IrNPs: iridium nanoparticles; LIG: laser-induced graphene; BCNTs: bamboo-like carbon nanotubes; MOF: metal-organic framework; TB: toluidine blue; LOD: limit of detection; CRP: C-reactive protein; BSA: bovine serum albumin; ErGO: electrochemically reduced graphene oxide; VMSF: vertically ordered mesoporous silica film; SPCE: screen-printed carbon electrode; PANI: polyaniline; GCE: glassy carbon electrode; rGO: reduced graphene oxide; DPV: differential pulse voltammetry; AuNPs: gold nanoparticles; GA: glutaraldehyde; MB: methylene blue; CSPE: carbon screen printed electrodes; AMP: amperometry; PBS: phosphate-buffered saline; PET: polyethylene terephthalate; NRs: nanorods; NBCs: nanobead chains; GE: glassy electrode; OLC: onion-like carbon; PAN: polyacrylonitrile; N-CNSs: nitrogen-rich porous carbon nanospheres; AL-BSA: amyloid like bovine serum albumin; N-GCT: nitrogen-doped graphitic carbon tubes.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="sec3-1-3">
          <title>IL-6</title>
          <p>In the initiation and progression of AS, IL-6 plays a pivotal role in triggering and amplifying inflammatory responses. The persistently activated IL-6 signaling pathway not only promotes lipid deposition and foam cell formation but also drives plaque destabilization, thereby accelerating the progression of AS lesions<sup>[<xref ref-type="bibr" rid="B80">80</xref>,<xref ref-type="bibr" rid="B81">81</xref>]</sup>. Therefore, the precise detection of IL-6 holds significant value for the early warning of AS.</p>
          <p>The cost of electrode substrates has become a critical bottleneck that constrains the large-scale fabrication of electrochemical immunosensors. Cancelliere <italic>et al.</italic> reported a LFEI based on biochar-modified screen-printed electrodes (Bio-SPE) for the sensitive detection of IL-6 in human serum<sup>[<xref ref-type="bibr" rid="B82">82</xref>]</sup>. This study employed EDC/NHS [N-(3-dimethylaminopropyl)-N’ethyl carbodiimide/N-Hydroxysuccinimide] to activate carboxyl groups on the Bio-SPE surface for the immobilization of anti-mouse Immunoglobulin G (IgG), followed by immobilization of two different clones of anti-IL-6 monoclonal antibodies. The authors modified the SPE using biochar derived from brewers' spent grains, a widely available material that provides both environmental sustainability and cost-effectiveness. Furthermore, the biochar’s surface is abundant in functional groups, particularly carboxyl groups, which enhance the electrochemical activity at the electrode interface and improve charge transfer efficiency. In comparison to gold- or graphene-modified SPEs, this biochar modification strategy allows the sensor to maintain detection performance while significantly lowering material costs, thereby achieving a balance between economic viability and performance. Graphite electrodes prepared using traditional methods often face challenges such as high costs and low preparation efficiency, which hinder the large-scale and cost-effective production of sensors. Tan <italic>et al.</italic> developed an electrochemical immunosensor utilizing laser-induced graphene electrodes, successfully achieving efficient detection of IL-6<sup>[<xref ref-type="bibr" rid="B83">83</xref>]</sup>[<xref ref-type="fig" rid="fig2">Figure 2D</xref>]. This study employed a visible laser diode with a power output of 3 W and a wavelength of 450 nm to directly write on commercial polyimide tape through raster scanning under ambient temperature and pressure conditions. The method achieves both graphitization and electrode patterning in a single step, enabling the direct fabrication of three-dimensional porous conductive Glassy carbon electrodes without the need for precursors or subsequent annealing modifications. This technique introduces a low-power laser direct writing strategy into the preparation of electrochemical immunosensor electrodes for the first time, providing a novel technical pathway for large-scale manufacturing. In the future, this technology has the potential to further optimize the electrode fabrication process, thereby reducing the manufacturing costs of sensors. <xref ref-type="table" rid="t3">Table 3</xref> lists other electrochemical immunosensors for detecting IL-6.</p>
          <table-wrap id="t3">
            <label>Table 3</label>
            <caption>
              <p>Electrochemical immunosensor for IL-6 detection</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	 </thead>
	 <tbody>
    <tr>
      <td>IL-6</td>
      <td>Anti-IL-6-AuNPs/rGO/Au electrode</td>
      <td>IT</td>
      <td>0.41 pg/mL</td>
      <td>0.97-250 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B84">84</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>Anti-IL-6-AuNPs/thionine-CMWCNTs/GCE</td>
      <td>SWV</td>
      <td>2.97 pg/mL</td>
      <td>10-8.0 × 10<sup>5</sup> pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B85">85</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>Anti-IL-6-PPy/AuNPs/SPCE</td>
      <td>EIS</td>
      <td>0.33 pg/mL</td>
      <td>1-100,000 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B86">86</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>Anti-IL-6-p-ABA/p-ATP/AuNPs/GCE</td>
      <td>EIS</td>
      <td>1.66 pg/mL</td>
      <td>5-100,000 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B87">87</xref>] </td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mAb-IL-6 clone-5/SPCE</td>
      <td>SWV</td>
      <td>4.8 pg/mL</td>
      <td>26-125 pg/mL </td>
      <td>[<xref ref-type="bibr" rid="B82">82</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>PBCaNP-mAb<sub>2</sub>-target-mAb<sub>1</sub>-IL-6-GCE</td>
      <td>SWV</td>
      <td>0.078 pg/mL</td>
      <td>0.1-1,000 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B88">88</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>Thi-Ab<sub>2</sub>-target-mAb<sub>1</sub>/SPGE</td>
      <td>SWV</td>
      <td>8.14 fg/mL</td>
      <td>20 fg/mL-2 ng/mL </td>
      <td>[<xref ref-type="bibr" rid="B89">89</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mAb-IL-6/GCE</td>
      <td>DPV</td>
      <td>5.1 pg/mL</td>
      <td>10-500 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B83">83</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>PVA-TEGO-PANI/mAb</td>
      <td>CV</td>
      <td>15.4 pg/mL </td>
      <td>15.4-400 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B90">90</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>MB-mAb-IL-6/PPC/GC rod</td>
      <td>SWV</td>
      <td>5 pg/mL</td>
      <td>5-150 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B91">91</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mMb-IL-6/Co3O4/SNF/ITO</td>
      <td>ECL</td>
      <td>0.64 fg/mL</td>
      <td>1 fg/mL-10 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B92">92</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mMb-IL-6/NAE</td>
      <td>DPV</td>
      <td>0.45 pg/mL</td>
      <td>/</td>
      <td>[<xref ref-type="bibr" rid="B93">93</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mMb-IL-6/PANI/CdS@ ZIF-8-NH</td>
      <td>SWV</td>
      <td>5.761 pg/mL</td>
      <td>5.761 × 10<sup>−5</sup>-20.00 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B94">94</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mMb-IL-6/ZIF-8@Ag NWs/SPCE</td>
      <td>DPV</td>
      <td>10 pg/mL</td>
      <td>10 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B95">95</xref>]</td>
    </tr>
    <tr>
      <td>IL-6</td>
      <td>mMb-IL-6/NiCoO2@CeO2 NBs</td>
      <td>IT</td>
      <td>7 fg/mL</td>
      <td>2.5 × 10<sup>−5</sup>-10 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B96">96</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t3FN1">
                <p>CMWCNs: Carboxylic multi-walled carbon nanotubes; PPy: polypyrrole; p-ABA: p-aminobenzoic acid; PBCaNP: prussian blue calcium nanoparticles; NMC: nitrogen-doped mesoporous carbon; TEGO: polyether-modified polysiloxane; PPC: poly(propylene carbonate); SNF: silica nanochannel film; NAE: nanoelectrode ensemble; ZIF: zeolitic imidazolate framework; SPGE: screen-printed gold electrode; IL-6: interleukin-6; MB: methylene blue; rGO: reduced graphene oxide; AuNPs: gold nanoparticles; GCE: glassy carbon electrode; SPCE: screen-printed carbon electrode; ATP: adenosine triphosphate; PANI: polyaniline; ITO: indium tin oxide electrode; DPV: differential pulse voltammetry; ECL: electrochemiluminescence; SWV: square wave voltammetry; CV: cyclic voltammetry; EIS: electrochemical impedance spectroscopy; PVA: poly (vinyl alcohol); GC: glassy carbon; NWs: nanowires; NBs: nanobelts; IT: chronoamperometry.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec id="sec3-2">
        <title>Hypertension</title>
        <p>Hypertension is a major risk factor for the onset and progression of CVDs, with its pathophysiological processes closely linked to vascular dysfunction and damage to target organs<sup>[<xref ref-type="bibr" rid="B97">97</xref>,<xref ref-type="bibr" rid="B98">98</xref>]</sup>. Renin, aldosterone, and the epithelial sodium channel (ENaC) are recognized as crucial biomarkers for the development and progression of hypertension, and their abnormal variations are strongly correlated with the advancement of the disease<sup>[<xref ref-type="bibr" rid="B99">99</xref>,<xref ref-type="bibr" rid="B100">100</xref>]</sup>. Therefore, the precise detection of these biomarkers can assist in identifying hypertension risks at early stages and provide essential evidence for personalized prevention, treatment, and efficacy evaluation.</p>
        <sec id="sec3-2-1">
          <title>Renin-angiotensin-aldosterone system</title>
          <p>The renin-angiotensin-aldosterone system (RAAS) is a vital neuroendocrine regulatory system responsible for the regulation of blood pressure, sodium-water balance, and cardiovascular homeostasis. Excessive activation of this system is a primary pathological factor contributing to hypertension and target organ damage<sup>[<xref ref-type="bibr" rid="B101">101</xref>-<xref ref-type="bibr" rid="B103">103</xref>]</sup>. In this context, renin and aldosterone (ALD) serve as important biomarkers, and their accurate detection is crucial for the early identification of hypertension.</p>
          <p>Electrochemical immunosensors generally utilize high-surface-area nanomaterials to increase the number of antibody immobilization sites, thereby enhancing detection sensitivity. However, achieving stable dispersion of these nanomaterials and constructing biocompatible interfaces remain critical challenges that limit performance improvements. Schuck <italic>et al.</italic> constructed a LFEI utilizing a carbon electrode modified with a bilayer AuNS-P(Arg) nanostructure<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>[<xref ref-type="fig" rid="fig3">Figure 3A</xref>]. This study employed polyarginine [P(Arg)] to coat gold nanostars (AuNS), which enhanced their dispersibility and biocompatibility while maintaining the electrical properties of AuNS. The sensor developed through this approach exhibited excellent analytical performance for detecting renin in undiluted human plasma and demonstrated high consistency with ELISA results. In the RAAS, ALD serves as a crucial hormone in regulating water-salt balance; however, its concentration in biological fluids is typically extremely low. In clinical testing, the aldosterone-to-renin ratio (ARR) is frequently utilized to aid in the evaluation of related pathological conditions. Nonetheless, the direct and precise quantification of ALD itself continues to pose challenges. To address this issue, Dong <italic>et al.</italic> developed a LFEI utilizing BSA/Anti-ALD/Mn@Hollow Nitrogen-Doped Carbon Nanotubes (H-NCNTs), which enabled the quantitative detection of ALD in human blood and urine samples<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup>[<xref ref-type="fig" rid="fig3">Figure 3B</xref>]. The team innovatively constructed tunable helical N-doped mesoporous carbon nanotubes encapsulating manganese nanoparticles, which served as ALD biosensing probes. This material exhibits a large active specific surface area, a unique helical structure, and synergistic catalytic effects due to the encapsulation of Mn nanoparticles. These features significantly enhance the detection sensitivity of the sensor and facilitate electron transport. Consequently, the sensing platform enables the accurate determination of trace ALD in blood and urine using chronoamperometry. However, the tendency of Mn nanoparticles to aggregate presents challenges for the large-scale fabrication of this innovative electrochemical immunosensor. Therefore, the development of sensing platforms that demonstrate high reproducibility, excellent stability, and strong clinical applicability is essential to advance their practical use.</p>
          <fig id="fig3" position="float">
            <label>Figure 3</label>
            <caption>
              <p>(A) Schematic diagram of renin detection sensing mechanism: (a) After the AuNS surface is coated with P (Arg), renin antibodies are immobilized on its surface; (b) When using a double-layer AuNSs-P (Arg) structure for detection, after immobilizing renin antibodies on the top layer, the active layer is then processed. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup> with permission from Copyright Clearance Center; (B) Synthesis and fabrication process of ALD immunosensor: (a) Schematic diagram showing the synthesis process of Mnx@H-NCNTs nanostructures; (b) Schematic diagram showing the construction of the BSA/anti-ALD/Mn@H-NCNTs-12H biosensor electrode used for ALD detection. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup> with permission from Copyright Clearance Center; (C) Schematic diagram of batch preparation of ENaC immunosensors: (a) PCB-SPCE printed circuit board-screen-printed carbon electrode sheets; (b) Schematic diagram of the electrochemical immunosensor used for the detection of ENaC protein. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B109">109</xref>]</sup>; (D) Immunosensing scheme based on anti-ENaC/SPCE-rGO. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B109">109</xref>]</sup>. AuNS: Gold nanostars; P(Arg): poly(arginine); HNCNTs: hollow nitrogen-doped carbon nanotubes; PCB: printed circuit board; BSA: bovine serum albumin; ENaC: epithelial sodium channel; NHS: N-hydroxysuccinimide; EDC: 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride; ALD: aldosterone; H-NCNTs: hollow nitrogen-doped carbon nanotubes.</p>
            </caption>
            <graphic xlink:href="vp50112.fig.3.jpg"/>
          </fig>
        </sec>
        <sec id="sec3-2-2">
          <title>Epithelial sodium channel</title>
          <p>The epithelial sodium channel (ENaC) is a transmembrane channel protein located on the apical membrane of epithelial cells, where it plays a crucial role in mediating sodium reabsorption and maintaining sodium transport<sup>[<xref ref-type="bibr" rid="B106">106</xref>,<xref ref-type="bibr" rid="B107">107</xref>]</sup>. Additionally, ENaC serves as a significant biomarker for hypertension. It is essential for regulating extracellular fluid volume, electrolyte balance, and long-term blood pressure homeostasis. Consequently, the specific recognition and precise detection of ENaC are of great significance<sup>[<xref ref-type="bibr" rid="B108">108</xref>]</sup>.</p>
          <p>Cost control and large-scale manufacturing capabilities have emerged as critical bottlenecks that restrict the practical applications of sensors. The key to addressing this issue lies in the development of sensing methods that integrate operational simplicity, low cost, and high detection performance. Setiyono <italic>et al.</italic> developed a LFEI for the detection of ENaC<sup>[<xref ref-type="bibr" rid="B109">109</xref>]</sup>. The research team constructed a composite electrode using self-made printed circuit board-screen-printed carbon electrodes (PCB-SPCE) combined with cerium oxide (CeO<sub>2</sub>), followed by the immobilization of anti-ENaC antibodies on its surface [<xref ref-type="fig" rid="fig3">Figure 3C</xref>]. Notably, a single PCB can simultaneously fabricate 48 independent electrodes, demonstrating low cost and significant potential for scalable production. Furthermore, the team integrated this sensor with their self-developed portable potentiostat, UnpadStat, to achieve real-time data display, facilitating rapid reading of test results and enhancing its suitability for POCT scenarios. However, this potentiostat continues to serve as an external instrument for data visualization and analysis. The physical separation between the sensor and the detection terminal may increase operational complexity and the risk of human error. Consequently, the platform requires further development towards integrated design in the future. The team led by Hartati <italic>et al.</italic> modified the surface of SPCE using rGO and immobilized anti-ENaC antibodies to construct a LFEI for ENaC detection<sup>[<xref ref-type="bibr" rid="B110">110</xref>]</sup>[<xref ref-type="fig" rid="fig3">Figure 3D</xref>]. This method achieves a low detection limit while eliminating the need for expensive chemical labels, thereby significantly reducing both reagent and consumable costs, as well as overall testing expenses. This study establishes a significant foundation for the development of portable, efficient, and cost-effective early diagnostic tools, showcasing promising applications and transformative potential, particularly in POCT. <xref ref-type="table" rid="t4">Table 4</xref> lists other electrochemical immunosensors for detecting ENaC and Renin.</p>
          <table-wrap id="t4">
            <label>Table 4</label>
            <caption>
              <p>Electrochemical immunosensors for detecting hypertension biomarkers</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>ENaC</td>
      <td>Anti-ENaC-rGO-SPCE</td>
      <td>DPV</td>
      <td>0.198 ng/mL</td>
      <td>0.01-1.5 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B110">110</xref>]</td>
    </tr>
    <tr>
      <td>Renin</td>
      <td>CNT-PEG-AuNS-anti-Renin</td>
      <td>DPV</td>
      <td>0.7412 pg/mL</td>
      <td>31.3-1,000 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B111">111</xref>]</td>
    </tr>
    <tr>
      <td>ENaC</td>
      <td>Anti-ENaC-SPCE-Au</td>
      <td>DPV</td>
      <td>0.037 ng/mL</td>
      <td>0.1-1.5 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B112">112</xref>]</td>
    </tr>
    <tr>
      <td>ENaC</td>
      <td>AuNP/HS-PEG-COOH/anti-ENaC</td>
      <td>DPV</td>
      <td>8.4 × 10<sup>-2</sup> ng/mL</td>
      <td>9.375 × 10<sup>-2</sup>-1.0 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B113">113</xref>]</td>
    </tr>
    <tr>
      <td>ENaC</td>
      <td>SPCE/Au/Cysteamine/Glutaraldehyde/Anti-ENaC</td>
      <td>DPV</td>
      <td>0.0372 ng/mL</td>
      <td>0.09375-1.0 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B114">114</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t4FN1">
                <p>PEG: Polyethylene glycol; ENaC: epithelial sodium channel; SPCE: screen-printed carbon electrode; AuNS: gold nanostars; LOD: limit of detection; AuNP: gold nanoparticle; HS: thiol group; CNT: carbon nanotube; rGO: reduced graphene oxide.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec id="sec3-3">
        <title>Myocardial infarction</title>
        <p>Myocardial infarction (MI) is a clinical condition characterized by the necrosis of myocardial tissue due to persistent severe ischemia<sup>[<xref ref-type="bibr" rid="B115">115</xref>]</sup>, which results from a sudden reduction or interruption of blood flow in the coronary arteries. Following MI onset, myocardial necrosis progresses to pump failure and life-threatening arrhythmias, with severe cases culminating in sudden cardiac death<sup>[<xref ref-type="bibr" rid="B116">116</xref>]</sup>. Therefore, the accurate detection of relevant biomarkers in the early stages of MI is of significant importance<sup>[<xref ref-type="bibr" rid="B117">117</xref>]</sup>.</p>
        <sec id="sec3-3-1">
          <title>Cardiac troponin</title>
          <p>Cardiac troponin (cTn) is a critical protein complex that regulates myocardial contraction and consists of three isoforms: cTnI, cTnT, and TnC. Among these isoforms, cTnI and cTnT are primarily expressed in cardiomyocytes, with minimal presence in non-cardiac tissues such as skeletal muscle<sup>[<xref ref-type="bibr" rid="B118">118</xref>]</sup>. When myocardial cells sustain damage, cTnI and cTnT are released from the affected cells into the bloodstream. Due to their exceptional cardiac specificity and release characteristics following cellular injury, both cTnI and cTnT demonstrate high sensitivity and specificity, establishing them as the widely accepted “gold standard” for diagnosing MI<sup>[<xref ref-type="bibr" rid="B115">115</xref>,<xref ref-type="bibr" rid="B119">119</xref>]</sup>.</p>
          <p>Traditional electrochemical immunosensors for cTnI detection predominantly utilize sandwich-type detection strategies, which typically necessitate the labeling of secondary antibodies. This approach involves complex operational procedures and incurs higher detection costs, thereby limiting its clinical translation and large-scale application. To address these limitations, Liu <italic>et al.</italic> developed a LFEI based on AuNPs/CuTA@Cu<sup>[<xref ref-type="bibr" rid="B120">120</xref>]</sup>. This strategy leverages the specific binding between cTnI and immobilized antibodies to form insulated immune complexes, which directly inhibit the electrochemical signal of CuTA@Cu, enabling one-step label-free detection. This approach offers a novel technical pathway for the miniaturization and cost-effective production of electrochemical immunosensors [<xref ref-type="fig" rid="fig4">Figure 4A</xref>]. However, the glassy carbon electrode (GCE) utilized in this study still encounters challenges, such as stringent pretreatment requirements and inadequate reproducibility in batch preparation, which hinder its ability to fully satisfy the application needs of POCT. The construction of the AuNPs/CuTA@Cu interface on the surface of a screen-printed electrode is anticipated to enhance the manufacturability and scalability potential of such sensors. Non-invasive detection is a vital developmental direction in wearable health monitoring. In contrast to traditional invasive methods, this approach avoids disrupting the skin barrier, minimizes infection risks, and shows potential for enabling real-time, continuous monitoring during treatment. Yengin <italic>et al.</italic> achieved non-invasive detection of target biomarkers (cTnT and cTnI) in artificial body fluids by combining reverse iontophoresis for extraction with LFEIs<sup>[<xref ref-type="bibr" rid="B121">121</xref>]</sup>. This method employs low-intensity direct current to facilitate the transdermal transport of cTnT and cTnI across simulated skin (cellulose ester dialysis membrane) into a collection gel, thereby mitigating complications associated with blood sampling, such as pain, infection risks, and challenges in continuous monitoring [<xref ref-type="fig" rid="fig4">Figure 4B</xref>]. The study offers novel technical insights for the development of wearable platforms aimed at monitoring myocardial injury biomarkers. <xref ref-type="table" rid="t5">Table 5</xref> lists other electrochemical immunosensors for detecting cTn.</p>
          <fig id="fig4" position="float">
            <label>Figure 4</label>
            <caption>
              <p>(A) Schematic illustration of the preparation and detection of the CuTA@Cu-based cTnI LFEI. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B120">120</xref>]</sup> with permission from Copyright Clearance Center; (B) Schematic illustration of the preparation of the electrochemical immunochemical sensor and the non-invasive detection of cTnT in artificial body fluids. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B121">121</xref>] </sup>with permission from Copyright Clearance Center. GCE: Glassy carbon electrode; CuTA: copper(II)-annic acid; EDC: 1-ethyl-3-(3-dimethylaminopropyl)carbodiimide; NHS: N-hydroxysuccinimide; BSA: bovine serum albumin; TA: tannic acid; CPE: carbon paste electrode.</p>
            </caption>
            <graphic xlink:href="vp50112.fig.4.jpg"/>
          </fig>
		  <table-wrap id="t5">
            <label>Table 5</label>
            <caption>
              <p>Electrochemical Immunosensors for cTnI and cTnT Detection</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>cTnI</td>
      <td>Au/MHDA/Ab</td>
      <td>EIS</td>
      <td>-</td>
      <td>10 ag/mL</td>
      <td>[<xref ref-type="bibr" rid="B122">122</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>GCE-Au-Ab<sub>1</sub>/CuFe2O4-Pd-Ab<sub>2</sub></td>
      <td>CA</td>
      <td>0.001-100 ng/mL</td>
      <td>1.9 1fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B123">123</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>GCE-β-CD@3DG-AgNCs-Ab<sub>1</sub>/β-CD@3DG-Fc-COOH-Ab<sub>2</sub></td>
      <td>DPV</td>
      <td>100 fg/mL-100 ng/mL</td>
      <td>45.5 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B124">124</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>MoS2@Cu2O-Ag-Ab<sub>1</sub>/Ce:ZnO-NGQDs-Ab<sub>2</sub></td>
      <td>ECL</td>
      <td>0.01-100 ng/mL</td>
      <td>2.9 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B125">125</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>HRP-Ab<sub>2</sub>-Au-COF</td>
      <td>DPV</td>
      <td>5 pg/mL-10 ng/mL</td>
      <td>1.7 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B126">126</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>GE/rGO/pTyr/anti-cTnI</td>
      <td>DPV</td>
      <td>4 pg/mL-4 ng/mL</td>
      <td>4 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B127">127</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>GCE/Pt/Au-B,S,N-Rgo/Ab</td>
      <td>CA</td>
      <td>0.1 pg/mL-50 ng/mL</td>
      <td>0.082 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B128">128</xref>]</td>
    </tr>
    <tr>
      <td>cTnI</td>
      <td>GCE/Cu2O-CuO@CeO2-Pd/Ab</td>
      <td>CA</td>
      <td>100 fg/mL-100 ng/mL</td>
      <td>15.85 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B129">129</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>caf-TCQDs@AuNPs-HO-BNNS-Ab<sub>1</sub>/Fc-COOH-Ab<sub>2</sub></td>
      <td>DPV</td>
      <td>0.0001-100 ng/mL</td>
      <td>0.0013 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B130">130</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>SPE/GNPs/Ab- cTnT-Ag</td>
      <td>ECL</td>
      <td>5 fg/mL-100 pg/mL</td>
      <td>0.05 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B131">131</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>GCE/ZnSnO3/NHS-EDC/Ab</td>
      <td>EIS</td>
      <td/>
      <td>0.187 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B132">132</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>PCB/Biochar/ glutaraldehyde/Ab</td>
      <td>CV</td>
      <td>0.01-5.00 ng/mL</td>
      <td>0.003 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B133">133</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>GP-HCL-EDC/NHS-Ab</td>
      <td>SWV</td>
      <td>0.5-1,000 fg/mL</td>
      <td>1.28 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B134">134</xref>]</td>
    </tr>
    <tr>
      <td>cTnT</td>
      <td>GCE/COOH-PPy-EDC/NHS-NH2 /NCY-GA-Ab<sub>1</sub>-gly</td>
      <td>SWV</td>
      <td>-</td>
      <td>0.35 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B135">135</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t5FN1">
                <p>MHDA: 16-Mercaptohexadecanoic acid; β-CD: β-cyclodextrin; DG: defective graphene; AgNCs: Silver Nanoclusters; NGQDs: nitrogen-doped graphene quantum dots; CNBs: Carbon Nanobelts; PTyr: phosphotyrosine; B,S,N-Rgo: boron, sulfur and nitrogen co-doped reduced graphene oxide; caf-TCQDs: coffee-derived triangular carbon quantum dots; HO-BNNS: hydroxyl-functionalized boron nitride nanosheets; GNPs: Gold Nanoparticles; PCB: printed circuit board; GP: graphene; HCl: Hydrochloric Acid; NHS: N-hydroxysuccinimide; NCY: nanocellulose; gly: glycine; EIS: electrochemical impedance spectroscopy; DPV: differential pulse voltammetry; ECL: electrochemiluminescence; SWV: square wave voltammetry; CV: cyclic voltammetry; GCE: glassy carbon electrode; HRP: horseradish peroxidase; rGO: reduced graphene oxide; pTyr: phosphotyrosine; SPE: screen-printed electrode; EDC: 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride; CA: chronoamperometry; GE: graphite electrode; PPy: polypyrrole.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="sec3-3-2">
          <title>Myoglobin</title>
          <p>Myoglobin (Myo) is a small oxygen-binding protein that is predominantly found in cardiac and skeletal muscles, where it primarily functions in oxygen storage and transport<sup>[<xref ref-type="bibr" rid="B136">136</xref>]</sup>. Following myocardial injury, Myo can be released into the peripheral circulation within 1 h to 3 h, peaking at 6 h to 9 h, and exhibits an earlier elevation compared to cTnT and cTnI. Due to this early-release characteristic, Myo is recognized as a crucial early biomarker for the diagnosis of acute myocardial infarction (AMI) in the hyperacute phase, making it particularly suitable for rapid emergency screening<sup>[<xref ref-type="bibr" rid="B137">137</xref>,<xref ref-type="bibr" rid="B138">138</xref>]</sup>.</p>
          <p>Nanomaterials can be conjugated with antibody probes to enhance detection signals through efficient signal amplification, thereby achieving highly sensitive and accurate detection of Myo. Zhang <italic>et al.</italic> developed a LEI based on mesoporous SiO<sub>2</sub>@PDA@PtPd nanocrystals (m-SiO<sub>2</sub>@PDA@PtPd NCs) and PtNi nanodendrites (NDs) for detecting Myo<sup>[<xref ref-type="bibr" rid="B139">139</xref>]</sup>. In this system, m-SiO<sub>2</sub>@PDA@PtPd NCs effectively accelerate interfacial electron transfer and increase the loading capacity of the primary antibody, while PtNi NDs-labeled secondary antibodies enhance signal amplification, thus improving detection sensitivity [<xref ref-type="fig" rid="fig5">Figure 5A</xref>]. However, the sandwich-structured detection method involves multiple incubation and washing steps, rendering the procedure relatively cumbersome and challenging to meet the rapid detection requirements for POCT during the acute phase of myocardial infarction. Traditional molybdenum disulfide (MoS<sub>2</sub>)-based sensors often encounter significant technical challenges, including high background signals and inadequate conductivity. These issues limit advancements in detection sensitivity and signal transduction efficiency. In response, Yang <italic>et al.</italic> developed a LFEI utilizing Au/Co-BDC@MoS<sub>2</sub>, which successfully achieved quantitative detection of Myo<sup>[<xref ref-type="bibr" rid="B140">140</xref>]</sup>. The team leveraged the low catalytic activity of Co-BDC (a 2D cobalt-based metal-organic framework) for the reduction of H<sub>2</sub>O<sub>2</sub>. By compositing it with MoS<sub>2</sub> nanosheets to selectively cover certain active sites, they effectively mitigated the non-specific background current attributed to the inherent high catalytic performance of MoS<sub>2</sub>. This strategy significantly addressed challenges such as strong background signals and low signal-to-noise ratios commonly encountered in traditional MoS<sub>2</sub>-based sensors. Overall, this synergistic functional design presents a novel approach to overcoming the inherent limitations of conventional MoS<sub>2</sub>-based sensors and provides a viable technical pathway for the highly sensitive detection of Myo. <xref ref-type="table" rid="t6">Table 6</xref> lists other electrochemical immunosensors for detecting Myo.</p>
          <fig id="fig5" position="float">
            <label>Figure 5</label>
            <caption>
              <p>(A) Schematic diagram of the stepwise fabrication of an electrochemical immunosensor for detecting Myo using m-SiO<sub>2</sub>@PDA@PtPd NC-modified electrodes and PtNi NDs-labeled secondary antibodies. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B139">139</xref>]</sup> with permission from Copyright Clearance Center; (B) Schematic illustration of the fabrication and detection of CK-MB using an electrochemical immunosensor based on AuPdCu NWNs. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B150">150</xref>]</sup> with permission from Copyright Clearance Center; (C) Schematic illustration of the construction of a LFEI based on mf-Pd@PtCu for H-FABP detection. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B159">159</xref>]</sup> with permission from Copyright Clearance Center; (D) Schematic illustration of the preparation of RuMn MOFs and FePtRh MOFs-Ab<sub>2</sub> and the fabrication and detection of H-FABP using labeled electrochemical sensors. Reproduced from Ref.<sup>[<xref ref-type="bibr" rid="B160">160</xref>]</sup> with permission from Copyright Clearance Center. AuPdCu NWs: Gold-palladium-copper nanowires; Ru(bpy)<sub>3</sub><sup>2+</sup>: Tris (2,2’ bipyridine) ruthenium (II) ion; mf-Pd@PtCu: metal-organic framework-derived palladium@platinum-CopperMOF; CTAC: cetyltrimethylammonium chloride; PDA: polydopamine; H-FABP: heart-type fatty acid-binding protein; DPV: differential pulse voltammetry; BSA: bovine serum albumin; Myo: myoglobin; GCE: glassy carbon electrode; EDC: 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride; NHS: N-hydroxysuccinimide; HCL: hydrochloric acid; DMA: dimethylacetamide; DA: dopamine; CK-MB: creatine kinase-MB isoenzyme.</p>
            </caption>
            <graphic xlink:href="vp50112.fig.5.jpg"/>
          </fig>
          <table-wrap id="t6">
            <label>Table 6</label>
            <caption>
              <p>Electrochemical immunosensor for Myo detection table</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>Myo</td>
      <td>Myo-Ab/MnO2@CNTs/GCE</td>
      <td>DPV</td>
      <td>0-15 μg/mL</td>
      <td>3 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B141">141</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>Ab-Au/Co-BDC@MD/GCE</td>
      <td>DPV</td>
      <td>10 fg/mL-10 ng/mL</td>
      <td>10.03 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B140">140</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>Ab-AuPtAg PHNR/GCE</td>
      <td>DPV</td>
      <td>0.0001-1000 ng/mL</td>
      <td>0.46 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B142">142</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>Ab/CNTs@CS-FET</td>
      <td>CA</td>
      <td>1-4000 ng/mL</td>
      <td>4.2 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B143">143</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>Ab/CdSeS/ZnS QDs/BTO/FTO</td>
      <td>-</td>
      <td>0.01-1000 ng/mL</td>
      <td>-</td>
      <td>[<xref ref-type="bibr" rid="B144">144</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>PtNi NDs/Ab<sub>2</sub>-Ab<sub>1</sub>/SiO<sub>2</sub>@PDA@PtPd NCs/GCE</td>
      <td>DPV</td>
      <td>0.001-1000 ng/mL</td>
      <td>0.21 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B145">145</xref>]</td>
    </tr>
    <tr>
      <td>Myo</td>
      <td>DDCE/Ru(bpy)<sub>3</sub><sup>2+</sup>@RuSi NPs/BSA/Myo/-Au@Ag<sub>2</sub>S</td>
      <td>ECL</td>
      <td>0.1 pg/mL-100 ng/mL</td>
      <td>0.05 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B146">146</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t6FN1">
                <p>BDC: 1,4-Benzenedicarboxylic acid; MD: 2-methylimidazole; PHNR: phosphorene nanoribbon; CS: chitosan; FET: field-effect transistor; BTO: barium titanate; FTO: fluorine-doped tin oxide; PtNi NDs: PtNi nanodendrites; PtPd NCs: PtPd nanocrystals; Myo: myoglobin; CNTs: carbon nanotubes; GCE: glassy carbon electrode; BSA: bovine serum albumin; ECL: electrochemiluminescence; DPV: differential pulse voltammetry; Ru(bpy)<sub>3</sub><sup>2+</sup>: tris(2,2’-bipyridine)ruthenium(II) ion; CA: chronoamperometry; DDCE: double-disk glassy carbon electrode.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="sec3-3-3">
          <title>Creatine kinase-MB isoenzyme</title>
          <p>Creatine kinase (CK) is a dimeric enzyme that primarily catalyzes the reversible phosphorylation reaction between creatine and phosphocreatine. Among its important isoenzymes, creatine kinase MB (CK-MB) is predominantly found in myocardial cells. When these cells are damaged or undergo necrosis due to ischemia and hypoxia, the integrity of the cell membrane is compromised, resulting in the release of intracellular CK-MB into the bloodstream and consequently leading to elevated serum CK-MB levels. Therefore, monitoring the dynamic changes in blood CK-MB levels serves as a crucial indicator for assessing the occurrence and severity of myocardial injury<sup>[<xref ref-type="bibr" rid="B147">147</xref>,<xref ref-type="bibr" rid="B148">148</xref>]</sup>.</p>
          <p>Traditional LEIs designed for the detection of CK-MB predominantly depend on a singular signale amplification mechanism. This typically involves either enhancing the conductivity of nanomaterials or utilizing a single probe, which constrains their ultra-sensitive detection capabilities. To overcome this limitation, Wang <italic>et al.</italic> developed a LEI that utilizes PdPtCoNi@Pt-skin nano-polyhedrons for the detection of CK-MB<sup>[<xref ref-type="bibr" rid="B149">149</xref>]</sup>. This sensor utilizes a sandwich immunoassay approach by labeling signal probes on the secondary antibody. The Pt-skin shell of the signal probe, PdPtCoNi@Pt-skin nano-polyhedron, exhibits exceptional catalytic activity, protects the internal alloy core from oxidation, and enhances binding stability with the secondary antibody, thereby extending the sensor’s operational lifespan. However, the sandwich method necessitates multiple incubation and washing steps, making it difficult to meet rapid response requirements for POCT during AMI episodes. Additionally, the synthesis process of traditional polymetallic nanomaterials involves cumbersome procedures and relies heavily on environmentally harmful chemical reagents, which not only escalate production costs but also pose a risk of environmental pollution. To address this issue, Cen <italic>et al.</italic> adopted a green synthesis strategy to overcome the bottleneck in nanomaterial preparation and constructed a LFEI for the highly sensitive detection of CK-MB<sup>[<xref ref-type="bibr" rid="B150">150</xref>]</sup>. The team prepared ultrathin gold-palladium-copper nanowire networks (AuPdCu NWNs) using a seedless, template-free, and surfactant-free aqueous one-pot method, and immobilized anti-CK-MB antibodies onto the modified electrode surface via physical adsorption [<xref ref-type="fig" rid="fig5">Figure 5B</xref>]. The AuPdCu NWNs exhibit a large specific surface area, abundant active sites, excellent biocompatibility, and high conductivity, significantly enhancing the detection sensitivity for CK-MB. Although this sensor has completed spiked serum recovery experiments, it still lacks large-scale validation with clinical case samples, indicating a gap that must be addressed before practical clinical application can be achieved. <xref ref-type="table" rid="t7">Table 7</xref> lists other electrochemical immunosensors for detecting CK-MB.</p>
          <table-wrap id="t7">
            <label>Table 7</label>
            <caption>
              <p>Electrochemical immunosensor for CK-MB detection</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>CK-MB</td>
      <td>GCE/AuNP/Ab</td>
      <td>EIS</td>
      <td>0.05-1 ng/mL</td>
      <td>0.018 ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B151">151</xref>]</td>
    </tr>
    <tr>
      <td>CK-MB</td>
      <td>ITO-PET/AuNPs/11-MuA/EDC/NHS/Ab</td>
      <td>SWV</td>
      <td>0.1-100 pg/mL</td>
      <td>0.0118 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B152">152</xref>]</td>
    </tr>
    <tr>
      <td>CK-MB</td>
      <td>SWCNT-SPE/CNOs/Fe3O4/AuNP/CS/Ab</td>
      <td>ECL</td>
      <td>10 ng/mL-50 fg/mL</td>
      <td>5 fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B153">153</xref>]</td>
    </tr>
    <tr>
      <td>CK-MB</td>
      <td>GP/AuNP/6-MH/3-GOPE</td>
      <td>EIS</td>
      <td>1-50 pg/mL</td>
      <td>0.045 pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B154">154</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t7FN1">
                <p>11-MuA: 11-Mercaptoundecanoic acid; CNOs: carbon nano-onions; 6-MH: 6-mercaptohexanol; GOPE: Graphene oxide paste electrode; GCE: glassy carbon electrode; ITO: indium tin oxide electrode; AuNPs: gold nanoparticles; EDC: 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride; NHS: N-hydroxysuccinimide; SPE: screen-printed electrode; GP: graphene; EIS: electrochemical impedance spectroscopy; SWV: square wave voltammetry; ECL: electrochemiluminescence; CK-MB: creatine kinase-MB isoenzyme; SWCNT: single-walled carbon nanotube; PET: polyethylene terephthalate.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="sec3-3-4">
          <title>Heart-type fatty acid-binding protein</title>
          <p>Heart-type fatty acid-binding protein (H-FABP) is a small molecular protein found in the cytoplasm of cardiomyocytes, where it plays a crucial role in fatty acid transport and energy metabolism<sup>[<xref ref-type="bibr" rid="B155">155</xref>]</sup>. Following myocardial injury, H-FABP can be rapidly released into the bloodstream within one hour, with its elevation occurring earlier than that of cTnI and CK-MB. Therefore, it is regarded as an important biomarker for the early diagnosis of AMI<sup>[<xref ref-type="bibr" rid="B156">156</xref>,<xref ref-type="bibr" rid="B157">157</xref>]</sup>.</p>
          <p>Due to the extremely low concentration of H-FABP in blood and its rapid fluctuations during the early stages of injury, the relevant detection technology must exhibit exceptionally high sensitivity and rapid response capabilities<sup>[<xref ref-type="bibr" rid="B158">158</xref>]</sup>. Ai <italic>et al.</italic> designed a LFEI for the quantitative detection of H-FABP. By modifying the surface of the GCE with mesoporous flower-like Pd@PtCu core-shell nanocrystals (MF-Pd@PtCu), this sensor significantly enhanced the electrochemically active surface area and facilitated rapid interfacial electron transfer<sup>[<xref ref-type="bibr" rid="B159">159</xref>]</sup>. The interface facilitates rapid electron transfer. Meanwhile, MF-Pd@PtCu can incorporate a greater number of biomolecular recognition elements, significantly enhancing the sensor’s detection performance for H-FABP [<xref ref-type="fig" rid="fig5">Figure 5C</xref>]. However, this study encounters industrial challenges concerning material cost control and scalable production. Although the introduction of Cu reduces the usage of Pt and Pd to some extent, Pt remains the primary catalytic component; therefore, its economic feasibility for large-scale clinical applications necessitates further evaluation. Future research should focus on developing low-Pt-content alloys or carbon-based composite carriers to further minimize noble metal consumption while preserving sensing performance. In contrast, electrochemical luminescence immunosensors detect optical signals, effectively minimizing background interference from electroactive substances present in complex samples. These sensors typically demonstrate higher signal-to-noise ratios and enhanced sensitivity, thereby providing robust support for the efficient and accurate detection of biomarkers. Li <italic>et al.</italic> constructed a labeled electrochemical luminescence immunosensor utilizing bimetallic RuMn- Metal-Organic Framework (MOF) as the electrochemiluminescence emitter and trimetallic FePtRh-MOF as the quencher-labeled secondary antibody<sup>[<xref ref-type="bibr" rid="B160">160</xref>]</sup>. Under the synergistic effect of MOF and Ru(bpy)<sub>3</sub><sup>2+</sup> [Tris(2,2’-bipyridine)ruthenium(II) ion], RuMn-MOF demonstrates enhanced and stable electrochemiluminescence performance [<xref ref-type="fig" rid="fig5">Figure 5D</xref>]. Meanwhile, FePtRh-MOF improves electron transfer efficiency, which in turn enhances the quenching effect. However, the processes of antibody incubation and surface modification for this sensor are time-consuming, typically requiring several hours. This limitation confines its application primarily to static laboratory detection scenarios and hinders its potential for further transformation and application in POCT. <xref ref-type="table" rid="t8">Table 8</xref> lists other electrochemical immunosensors for detecting H-FABP.</p>
          <table-wrap id="t8">
            <label>Table 8</label>
            <caption>
              <p>Electrochemical immunosensors for H-FABP detection</p>
            </caption>
            <table frame="hsides" rules="groups">
  <thead>
    <tr>
      <td style="border-bottom:1;">
        <bold>Marker</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Electrode</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Method</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Linear</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>LOD</bold>
      </td>
      <td style="border-bottom:1;">
        <bold>Ref.</bold>
      </td>
    </tr>
	</thead>
	<tbody>
    <tr>
      <td>H-FABP</td>
      <td>GE/PTh-CNT-MB-EDA/Ab</td>
      <td>-</td>
      <td>3-25ng/mL</td>
      <td>1.47ng/mL</td>
      <td>[<xref ref-type="bibr" rid="B161">161</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>ITO/Cu2+-Cys-ABEI-GNPs-CS/Ab-GNPs</td>
      <td>ECL</td>
      <td>0.1-1000pg/mL</td>
      <td>0.09pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B162">162</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>AuNDs/Chit-g-Fc/Ab<sub>1</sub>- Ab<sub>2</sub>/Thi/AuPt/PDA/OHCSs</td>
      <td>DPV</td>
      <td>0.001-200ng/mL</td>
      <td>0.53pg/mL</td>
      <td>[<xref ref-type="bibr" rid="B163">163</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>GCE/Ni-TCPP(Fe)@PSS-Gr/Ab<sub>1</sub>-Ab<sub>2</sub>-Ag@Au/Pt</td>
      <td>CA</td>
      <td>10fg/mL-100ng/mL</td>
      <td>5.75fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B164">164</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>Ru-g-C3N4-Ab<sub>1</sub>-Ab<sub>2</sub>/NH2-MIL-101(Fe)/Luminol</td>
      <td>ECL</td>
      <td>5fg/mL-50ng/mL</td>
      <td>2.43fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B165">165</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>GCE/PICA-Ab<sub>1</sub>-Ab<sub>2</sub>-Ni-TCPP (Fe)-PEI-Lum</td>
      <td>ECL</td>
      <td>100fg/mL-100ng/mL</td>
      <td>44.5fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B166">166</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>GCE/hc-g-C3N4@CDsE /Ab<sub>1</sub>-Ab<sub>2</sub>/Cd0.5Zn0.5S/d-Ti3C2Tx MXene</td>
      <td>DPV</td>
      <td>-</td>
      <td>3.3fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B167">167</xref>]</td>
    </tr>
    <tr>
      <td>H-FABP</td>
      <td>ITO/ Luminol@Ag/Cu2O/Ti3C2-Ab<sub>1</sub>-Ab<sub>2</sub>-AgS QDs@NH2-MIL-101(Fe)</td>
      <td>ECL</td>
      <td>1fg/mL-100ng/mL</td>
      <td>0.36fg/mL</td>
      <td>[<xref ref-type="bibr" rid="B168">168</xref>]</td>
    </tr>
  </tbody>
</table>
            <table-wrap-foot>
              <fn id="t8FN1">
                <p>PTh: Polythiophene; EDA: ethylenediamine; Cys: cysteine; ABEI: N-(4-Aminobutyl)-N-ethylisoluminol; AuNDs: gold nano dendrites; OHCSs: open-hollowcarbonspheres; Ni-TCPP(Fe): nickel-iron-tetrakis(4-carboxyphenyl)porphyrin; PSS: polystyrene sulfonate; Gr: graphene; MIL: materials of institute lavoisier; PICA: poly(indole-5-carboxylic acid); TCPP (Fe): Iron(III)-tetrakis(4-carboxyphenyl)porphyrin; PEI: polyethylenimine; CDsE: cadmium selenide; MB: methylene blue; ITO: indium tin oxide electrode; GNPs: gold nanoparticles; GCE: glassy carbon electrode; H-FABP: heart-type fatty acid-binding protein; GE: graphite electrode; CNT: carbon nanotube.</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
      </sec>
      <sec id="sec3-4">
        <title>Multiplex immunoelectrochemical sensor for detecting cardiovascular disease biomarkers</title>
        <p>The occurrence and progression of CVDs involve complex pathological mechanisms. Changes in the concentration of a single biomarker often fail to provide accurate diagnostic evidence. Consequently, multiplex electrochemical immunosensors can simultaneously identify and quantify multiple CVD-related biomarkers on the same detection platform. This approach significantly enhances testing efficiency and diagnostic accuracy, while also providing a more comprehensive characterization of the dynamic evolution of myocardial injury<sup>[<xref ref-type="bibr" rid="B169">169</xref>,<xref ref-type="bibr" rid="B170">170</xref>]</sup>.</p>
        <p>Multiplex detection encounters significant challenges in complex testing environments, making the development of high-performance antifouling coatings essential for achieving precise detection. Timilsina <italic>et al.</italic> constructed a nanocomposite coating through the cross-linking of BSA, partially reduced Graphene Oxide, and Glutaraldehyde (GA), which was successfully modified on the surface of a gold electrode<sup>[<xref ref-type="bibr" rid="B171">171</xref>]</sup>. This innovative coating effectively suppresses nonspecific adsorption in complex biological fluids while preserving the conductivity and stability of the electrode. Utilizing this modified electrode, researchers were able to simultaneously detect multiple disease markers, including cTnI, in whole blood and plasma, demonstrating remarkable sensitivity and selectivity. However, the current system is limited by insufficient clinical validation and a lack of long-term stability evaluation. Furthermore, avoiding signal crosstalk and achieving synchronous multi-index analysis continue to pose significant challenges in current multiplex detection. Boonkaew <italic>et al.</italic> constructed sample inlets by stacking wax-printed paper with transparent film and incorporating laser-cut double-sided adhesive tape, which formed three independent detection zones and microfluidic channels<sup>[<xref ref-type="bibr" rid="B172">172</xref>]</sup>. A LFEI was developed by modifying SPCE with Graphene Oxide (GO). Carboxyl groups were activated through anodic oxidation, followed by antibody conjugation via EDC-NHS coupling, and the blocking of nonspecific binding sites with BSA. Antibodies were covalently immobilized through amide bonds to enhance stability. Square wave voltammetry (SWV) was employed for detection, where the formation of immunocomplexes impeded electron transfer of the redox probe, resulting in a decreased current response as biomarker concentration increased. The target concentration was ultimately quantified by measuring the changes in current. This sensor can simultaneously detect three biomarkers [CRP, cTnI, and Procalcitonin (PCT)] in a single sample, demonstrating high selectivity and sensitivity. The integration of electrochemical immunosensors with microfluidic technology represents a significant research direction. Zhou <italic>et al.</italic> developed a microfluidic chip-based electrochemical immunosensor for the simultaneous detection of cTnI and CRP<sup>[<xref ref-type="bibr" rid="B173">173</xref>]</sup>. This sensor utilizes the high specific surface area of gold nanoparticles, providing an excellent substrate for antibody immobilization. Additionally, the miniaturized design of the microfluidic channels significantly reduces the required sample volume to only 30 μL, making it suitable for POCT. Furthermore, to address signal interference issues in dual-marker synchronous detection, a differential quantum dot labeling strategy was employed to overcome the limitations of traditional signal superposition. Although the team has completed preliminary validation with 20 serum samples, a gap remains for clinical application. Future work should focus on expanding clinical sample validation to enhance the practical applicability.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>THE INTEGRATION OF ELECTROCHEMICAL IMMUNOSENSORS WITH ADVANCED TECHNOLOGIES</title>
      <p>As highly sensitive and efficient detection platforms, electrochemical immunosensors are increasingly being integrated with cutting-edge fields such as microfluidic technology<sup>[<xref ref-type="bibr" rid="B174">174</xref>,<xref ref-type="bibr" rid="B175">175</xref>]</sup>, artificial intelligence<sup>[<xref ref-type="bibr" rid="B176">176</xref>]</sup>, and portable devices<sup>[<xref ref-type="bibr" rid="B177">177</xref>]</sup>. This integration is driving the continuous advancement of biomarker detection technologies. The synergy of these multiple technologies not only enhances the analytical performance of the sensors but also broadens their application potential in the early diagnosis, dynamic monitoring, and personalized treatment of CVDs.</p>
      <p>Microfluidic technology enables the precise manipulation of liquids at the micrometer scale, making it particularly suitable for the efficient analysis of minute samples. This technology offers significant advantages, including reduced sample consumption, improved reaction efficiency, and enhanced controllability in detection<sup>[<xref ref-type="bibr" rid="B178">178</xref>,<xref ref-type="bibr" rid="B179">179</xref>]</sup>. Singh <italic>et al.</italic> developed a LFEI based on a microfluidic chip for the ultra-low concentration simultaneous detection of cTnI and CK-MB<sup>[<xref ref-type="bibr" rid="B180">180</xref>]</sup>. The microfluidic chip automates the detection process, minimizes manual intervention, and enhances experimental repeatability and stability. However, this platform has not yet fully integrated machine learning methods with electrochemical sensing data, which somewhat limits its potential for complex data analysis and disease prediction. In the future, the introduction of artificial intelligence algorithms to integrate and analyze multi-parameter sensing data may optimize the testing process and enhance clinical diagnostic decision support capabilities. Ganguly <italic>et al.</italic> developed a LFEI utilizing non-Faradaic electrochemical impedance spectroscopy, which enables the detection of ultra-low concentrations of IL-6 and IL-8<sup>[<xref ref-type="bibr" rid="B181">181</xref>]</sup>. Furthermore, the study employed a random forest model to analyze the concentration data of IL-6 and IL-8 obtained from the sensor, facilitating disease classification and grading discrimination. By optimizing the number and depth of decision trees within the model, the final classification accuracy reached 98.437%. This strategy aids in the early identification of diseases and may help mitigate diagnostic and treatment delays. Additionally, the sensor platform demonstrates excellent modularity and flexibility, making it applicable not only for the detection of IL-6 and IL-8 but also extensible to other inflammatory markers and various disease models. In the future, by integrating more CVD-related biomarkers such as cTnI and CRP, this platform is anticipated to further enhance its application value in the precision diagnosis of CVDs. With the growing demand for rapid diagnosis of critical illnesses, traditional laboratory testing models have struggled to meet clinical requirements for timeliness, particularly in emergency scenarios such as myocardial infarction and trauma care, where obtaining test results promptly can be challenging. To address this issue, Boonkaew <italic>et al.</italic> developed a LFEI suitable for POCT applications, enabling rapid and accurate detection of three key cardiovascular biomarkers: CRP, cTnI, and PCT<sup>[<xref ref-type="bibr" rid="B172">172</xref>]</sup>. Utilizing paper-based materials as the substrate, the sensor employs a label-free immunoassay strategy to immobilize antibodies on the electrode surface, achieving controlled liquid transport on the chip and simultaneous multi-region, multi-marker detection. This analytical platform is compatible with various sample types, such as serum and whole blood, and features advantages including a simple structure, low cost, and user-friendly operation, making it particularly well-suited for rapid screening in resource-limited settings. Especially in emergency situations like myocardial infarction and trauma care, this platform can provide timely test results. With its portability and high sensitivity, this technology offers a promising solution for POCT and has the potential to facilitate early identification and timely intervention in CVDs, thereby improving patient prognosis.</p>
    </sec>
    <sec id="sec5">
      <title>CONCLUSION</title>
      <p>Currently, electrochemical immunosensors have made significant advances in the innovation of functional materials, optimization of devices, and enhancement of performance. However, they continue to encounter challenges in scaling for clinical applications and in complex scenarios. Firstly, biofouling issues arising from complex biological samples limit both detection accuracy and long-term stability. Patients and clinicians alike wish to detect abnormalities in vivo using complex biological fluids, such as a drop of plasma or serum. However, interference from non-target electroactive substances can result in electrode contamination. Although antifouling coating solutions are available, they frequently compromise the electron transfer efficiency of the electrode, making it challenging to meet the requirements for continuous clinical monitoring. Secondly, insufficient manufacturability and reproducibility in mass production impede the translation of laboratory performance into industrial products. Variations in the production of printed electrodes, challenges in substrate cost control, and difficulties in scaling up modification processes contribute to fluctuations in sensor performance, increased production costs, and compromised manufacturing consistency, which pose significant obstacles to commercialization. Furthermore, insufficient system integration and dependence on sample pretreatment impede the effective implementation of POCT scenarios. Ideally, POCT should facilitate fully integrated workflows. However, most current sensors still necessitate manual preprocessing or coordination among multiple devices. Additionally, the immature built-in algorithms often struggle to calibrate complex interference signals in real time, ultimately undermining diagnostic accuracy and timeliness. Lastly, the absence of clinical validation protocols remains a critical barrier to the clinical translation of electrochemical immunosensors. In the medical field, any novel diagnostic technology must undergo stringent clinical validation before achieving widespread application. However, current electrochemical immunosensors exhibit significant deficiencies in this area: on one hand, the limited sample sizes do not adequately represent the complexities of clinical scenarios; on the other hand, the lack of comparative studies with established gold-standard diagnostic methods impedes their clinical adoption and promotion.</p>
      <p>In the future, with the continuous integration of multidisciplinary fields such as materials science, nanotechnology, molecular biology, and artificial intelligence, electrochemical immunosensors are anticipated to achieve multidimensional improvements. Firstly, non-invasive detection represents a pivotal development direction, broadening their application scope from traditional laboratory testing to areas such as home self-monitoring and sports health management. To realize this goal, two significant technical bottlenecks must be addressed: First, innovative sample extraction and enrichment technologies need to be developed, such as reverse iontophoresis, to efficiently extract target biomarkers from body fluids without damaging the skin. This approach aims to tackle the challenges posed by low concentrations and complex matrices in non-invasive samples. Secondly, the sensor interface must be optimized by integrating antifouling nano-coatings to prevent the non-specific adsorption of proteins and lipids in samples, while also leveraging the signal amplification effects of nanomaterials to enhance detection sensitivity for low-concentration biomarkers. Additionally, efforts should be directed towards advancing the intelligent development of POCT platforms based on electrochemical immunosensors. Previous studies have developed a smartphone-controlled NFC electrochemical immunosensor for the detection of CRP, establishing a foundational reference for the advancement of intelligent POCT. With the rapid progress in artificial intelligence technology, future POCT platforms will not only depend on hardware innovations but also utilize sophisticated data analysis and diagnostic systems. By integrating artificial intelligence and machine learning algorithms, these platforms can process multiplex signals in real time, automatically identify disease patterns, and deliver personalized treatment plans based on patient data. For example, by analyzing multi-marker profiles in blood samples alongside historical physiological data such as electrocardiograms, POCT can forecast patients’ risks of CVDs and provide customized intervention strategies. This intelligent data processing will significantly enhance the application value of electrochemical immunosensors in clinical settings, particularly in practical scenarios such as home testing. Furthermore, it is essential to strengthen the methodological validation of electrochemical immunosensors in clinical practice. Future efforts should focus on conducting multicenter, large-sample clinical studies to systematically compare these sensors with gold-standard diagnostic methods, establish standardized quality control systems, and improve awareness and participation among clinicians. These initiatives will further advance the clinical utility of electrochemical immunosensors, providing reliable technical support for precise disease diagnosis.</p>
      <p>In summary, electrochemical immunosensors exhibit unique advantages and hold significant promise for early screening, risk assessment, and real-time monitoring of CVDs. This review summarizes the research advancements in electrochemical biosensors for detecting CVD-related biomarkers, emphasizing recent breakthroughs in this field. Fueled by the deep integration of multidisciplinary approaches and clinical needs, this technology is anticipated to play an increasingly vital and irreplaceable role in the precise diagnosis and intelligent healthcare of CVDs.</p>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Acknowledgments</title>
        <p>The Graphical Abstract was created with BioRender.com (Created with BioRender. Wang S (2026) <uri xlink:href="https://BioRender.com/0ucecul">https://BioRender.com/0ucecul</uri>).</p>
      </sec>
      <sec>
        <title>Authors’ contributions</title>
        <p>Contributed to conceptualization, original draft writing, data integration, overall manuscript coordination, final polishing, and manuscript review and revision: Zhang J</p>
		<p>Contributed to figure and table preparation, literature investigation, original draft writing, reference management, and manuscript formatting: Wang S, Zeng Y</p>
		<p>Contributed to conceptualization, supervision, funding acquisition, project administration, manuscript review and revision, and final approval of the manuscript: Lan H, Zang G</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Conflict of interest </title>
        <p>Lan H is from the Chongqing Quality Testing &amp; Inspection Center for Medical Devices. The other authors declared that there are no conflicts of interest.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>This work was supported by the Natural Science Foundation of Chongqing (CSTB2023NSCQ-MSX0232, CSTB2024NSCQ-MSX0105), the Pharmaceutical Regulatory Science Research Project of Chongqing Medical Products Administration (Project No. CQYJKJ2025-17), the Project of Tutorial System of Medical Undergraduate in the Lab Teaching &amp; Management Center at Chongqing Medical University (LTMCEMTS202627, LTMCEMTSDC202617, LTMCEMTSDC202624), and the National Training Program of Innovation and Entrepreneurship for Undergraduates (202410631001, 202510631020, 202510631039).</p>
      </sec>
      <sec>
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