Page 94 - Read Online
P. 94

Huang et al. Soft Sci. 2025, 5, 24                                        Soft Science
               DOI: 10.20517/ss.2025.07



               Research Article                                                              Open Access



               Multimodal sensing conductive organohydrogel

               electronics based on chitosan-encapsulated MXene
               nanocomposites for deep learning-enhanced ball

               sports recognition


                                              1
                                                         2
                                                                                       1,*
                                                                                3
                                                                      1,*
                                                                                                   1
                                     1
                            1
               Mengjie Huang , Shun Liu , Yalin Chi , Jianwei Li , Hongling Sun , Lin Dong , Hu Liu , Chuntai Liu ,
               Changyu Shen 1
               1
                State Key Laboratory of Structural Analysis, Optimization and CAE Software for Industrial Equipment; National Engineering
               Research Center for Advanced Polymer Processing Technology, Zhengzhou University, Zhengzhou 450002, Henan, China.
               2
                Henan Academy of Sciences, Zhengzhou 450002, Henan, China.
               3
                School of Physics & Microelectronics, Zhengzhou University, Zhengzhou 450002, Henan, China.
               * Correspondence to: Prof. Hu Liu, Prof. Hongling Sun, State Key Laboratory of Structural Analysis, Optimization and CAE
               Software for Industrial Equipment; National Engineering Research Center for Advanced Polymer Processing Technology,
               Zhengzhou University, 97-1 Wenhua Road, Jinshui District, Zhengzhou 450002, Henan, China. E-mail: liuhu@zzu.edu.cn;
               sunhongling@zzu.edu.cn
               How to cite this article: Huang, M.; Liu, S.; Chi, Y.; Li, J.; Sun, H.; Dong, L.; Liu, H.; Liu, C.; Shen, C. Multimodal sensing conductive
               organohydrogel electronics based on chitosan-encapsulated MXene nanocomposites for deep learning-enhanced ball sports
               recognition. Soft Sci. 2025, 5, 24. https://dx.doi.org/10.20517/ss.2025.07
               Received: 16 Mar 2025  First Decision: 21 Apr 2025  Revised: 1 May 2025  Accepted: 13 May 2025  Published: 27 May 2025
               Academic Editors: Jin Wu, Seung Hwan Ko  Copy Editor: Pei-Yun Wang  Production Editor: Pei-Yun Wang

               Abstract
               Conductive hydrogels have drawn significant attention as smart sensing systems for flexible electronics. However,
               challenges remain in fabricating multimodal electronics that simultaneously achieve ultrastretchability, conformal
               adhesion, environmental adaptability, self-healing, and high-performance sensing for electrophysiological signal
               detection. In this study, a nanocomposite organohydrogel with these features is developed by incorporating
               chitosan-encapsulated MXene nanosheets into a polyacrylamide network within a phytic acid (PA)/glycerol
               (GL)/water trisolvent system, aiming to create a multimodal sensing platform. The synergy between hydrogen
               bonds  and  electrostatic  interactions  endows  the  organohydrogel  with  exceptional  properties,  including
               ultrastretchability (2,800%), robust adhesion (70.6 kPa on paper), and self-healing ability. The combination of PA
               and GL not only enhances the organohydrogel’s environmental adaptability (-30 to 60 °C) to meet diverse
               application requirements but also improves its conductivity. These remarkable features enable the organohydrogel
               to function as a multimodal sensor capable of detecting multiple stimuli (strain and temperature) with high





                           © The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), 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.

                                                                                        www.oaepublish.com/ss
   89   90   91   92   93   94   95   96   97   98   99