2023
DOI: 10.1016/j.sna.2023.114297
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High gain fiber-shaped transistor based on rGO-mediated hierarchical polypyrrole for ultrasensitive sweat sensor

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Cited by 5 publications
(2 citation statements)
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“…The resulting woven FOECT system can effectively monitor dopamine, lactate, and glucose with low detection limits (1 nM), high sensitivity (46.8 ± 3.3 mV/dec for dopamine, 85.3 ± 6.1 mV/dec for lactate, and 235.5 ± 20.8 mV/dec for glucose), good selectivity, and consistent results in artificial sweat. This research presents a practical strategy for the large-scale and stable fabrication of FOECTs, thereby driving advances in personalized healthcare sweat sensors [94]. Textile organic electrochemical transistors (txOECTs) were introduced in the study by Copped et al They have been functionalized with ion-selective membranes.…”
Section: Othersmentioning
confidence: 99%
“…The resulting woven FOECT system can effectively monitor dopamine, lactate, and glucose with low detection limits (1 nM), high sensitivity (46.8 ± 3.3 mV/dec for dopamine, 85.3 ± 6.1 mV/dec for lactate, and 235.5 ± 20.8 mV/dec for glucose), good selectivity, and consistent results in artificial sweat. This research presents a practical strategy for the large-scale and stable fabrication of FOECTs, thereby driving advances in personalized healthcare sweat sensors [94]. Textile organic electrochemical transistors (txOECTs) were introduced in the study by Copped et al They have been functionalized with ion-selective membranes.…”
Section: Othersmentioning
confidence: 99%
“…[241] Qing et al designed an industrial-scale textile OECT system, that could monitor dopamine, lactate, and glucose with a low detecting limit (1 nm), high sensitivity, and good selectivity (Figure 5h). [242] However, it remains a technical challenge to develop highperformance and stable textile OECT sensors for everyday onskin applications. On the one hand, the liquid electrolyte in OECT easily suffers from leakage and volatilization, which will reduce OECT sensitivity for everyday usage.…”
Section: Bio-signal Recordingmentioning
confidence: 99%