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Bai et al. Soft Sci 2023;3:40  https://dx.doi.org/10.20517/ss.2023.38            Page 17 of 34

               regulated by controlling the content of the NP. When the content of LMs is low, a complete conductive
               network cannot be formed in the elastomer. However, the distance between the LMNPs changes after
               applying stress, which causes a change in the resistance of the material.  Based on this mechanism, LMEE
               can be used for strain-resistance type sensors [Figure 5D ii] [154,193,194] . In addition, the good flexibility and
               electrical conductivity of the composite material also facilitate the detection of bioelectrical signals from the
                          [192]
               human body , and the abundance of polar groups allows LMEE to form rich hydrogen and coordination
               bonds with human skin and thus obtain self-adhesive properties [Figure 5D iii] [190,192,195] . LMEE could also
                                                                                   [196]
               exhibit  good  self-healing  properties  by  choosing  appropriate  substrates , e.g.,  LMNP/poly(3,4-
               ethylenedioxythiophene):sulfonated bacterial cellulose nanofiber (LMNP/PEDOT:BCNF) suspensions with
               AA can re-establish ion and electron transport channels within 0.16 s  [Figure 5D iv]. A new conductive
                                                                           [197]
               sensor using LMNPs/MWCNTs/CNFs as multiphase hybrid fillers has also been prepared by incorporating
               a variety of highly conductive materials at the slight expense of the stretchable properties of the sensor ,
                                                                                                      [159]
               combining the high aspect ratio of CNTs with the fluid properties of LMs [Figure 5D v], which can
               reconstitute new connections for CNT/CNFs when subjected to large stresses within the oxide layer. In
               addition, the material exhibits excellent stress-strain-resistance sensitivity under low-strain conditions.

               APPLICATION CATEGORIES
               Motion monitoring
               Movements of limbs are routinely adopted by hospital patients, especially for elderly individuals in
               recovery. The use of sensors for long-term monitoring of these behaviors can save significant medical
               resources and facilitate research data for patient recovery. The thin and sensitive nano-LM sensors can
               achieve monitoring and sensing without hindering human movement, which will greatly ameliorate the
               user  experience.  For  instance,  Zhang  et  al. produced  an  LM@CNC  Janus  film  through  a  facile
               ultrasonication-deposition process and activated conductive paths on the LM side to realize a capacitive
               sensor . The capacitive sensor was sensitive enough to detect the bending of the palm [Figures 6A and B],
                     [172]
               and the sensor showed good stability during 150 cycles of bending tests [Figure 6B]. The LM Janus
               membrane was made by using the sink of LM droplets, while LMs tend to be stably distributed in the
               suspension in more studies. For example, Feng et al. used a variety of interactions (chemical bonding,
               hydrogen bonding), the fabricated double cross-linked network cellulose-based LM hydrogel (LMCNF), as
               shown in Figure 6C, could be used to monitor the movement of human limbs , the relative resistance
                                                                                    [198]
               increased as the joint flexed. In addition, the sensor also has good sensitivity with a  sensitivity factor of
               2.92  over  a  strain range  of  0%  to  400%  [Figure  6D].  Apart  from  direct  monitoring  of  muscle
               movement,  Liu  et  al. also reported  a  sensor  capable  of  monitoring  human  breathing  based  on  a
               polycaprolactone@LMNP thin film . The film was placed onto an N95 mask along with a Bluetooth
                                               [199]
               device to demonstrate the breath-monitoring function. The film was deformed by the airflow inhaled or
               exhaled  by  a  volunteer,  thus  causing fluctuation  in  its  resistance  [Figure  6E].  To  improve  the
               biocompatibility of the sensors, using substances from human tissues as a matrix is a feasible solution.
               The researchers mixed gluten, which mainly consists of proteins, with EGaIn to make an EGaIn/gluten-
               based  e-skin  (E-GES) , which  helped  the  matrix  to form more  β-sheets due to the fact that EGaIn
                                   [200]
               induces new coordination and hydrogen bonds. The β-sheets are the most solid confirmation of gluten;
               thus, the increase of their content made the composite highly viscoelastic [Figure 6F]. Moreover, the E-
               GES could also be used as a strain gauge to monitor human movement, as bending during movement
               increases the resistance of the E-GES, and its superior stability allows the parameters to remain stable
               after  more  than  100  cycles.  To  further  expand  the  application scenario  of  the  sensor,  Chen  et  al.
               realized a non-contact sensor at a longer distance (> 1 m) by simply adding ultrasonically treated EGaIn
               to a 3,4-ethylenedioxythiophene (EDOT) monomer solution containing EDOT , polystyrene sulfonate
                                                                                    [201]
               and ammonium persulphate to obtain a Ga-PP solution and immersing the textile in the solution to get a
               Ga-PP-based conductive textile (Ga-PP-CT), which uses the non-contact interaction between different
               charges  to  change  the  resistance  of  the  sample  [Figure  6G],  thus  allowing  the monitoring  of  human
               movement such as jumping rope or playing tennis.
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