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• W4387520030 endingPage "127401" @default.
• W4387520030 startingPage "127401" @default.
• W4387520030 abstract "In this study, a smart strain sensor based on gluten/guar gum (GG) copolymer containing a combination of additives was developed. The mix proportions of strain sensors were designed using Taguchi method coupled with Grey relational analysis. L16 orthogonal array with three factors, viz. tannic acid (TA), glycerol and sodium chloride (NaCl) at four-levels each was optimized. The addition of TA substantially enhanced tensile strength, self-adhesion ability and conductivity. The self-adhesion ability could also be improved by adding NaCl in range of 0–5 wt%. The presence of glycerol in strain sensors could reduce the self-healing time which was found in the range of 28.75–150 s. In addition, the incorporation of glycerol into gel also improved stretchability of strain sensors. The best mix proportion of strain sensor was found to be 3.75 wt% TA, 30 vol% glycerol and 5 wt% NaCl. The best mixture of stain sensor showed the highest gauge factor (GF) of 0.61 % at a stretchability of 665 % and rapid self-healing at 70 s. This strain sensor could be applied to monitor human limb movements in a wide temperature range from −20 °C to 50 °C. Furthermore, the obtained gel was successfully used as electronic devices and self-powered sensors." @default.
• W4387520030 created "2023-10-12" @default.
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• W4387520030 date "2023-10-01" @default.
• W4387520030 modified "2023-10-14" @default.
• W4387520030 title "Optimization of rapid self-healing and self-adhesive gluten/guar gum crosslinked gel for strain sensors and electronic devices" @default.
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• W4387520030 doi "https://doi.org/10.1016/j.ijbiomac.2023.127401" @default.
• W4387520030 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37827400" @default.
• W4387520030 hasPublicationYear "2023" @default.
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