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Highly Selective Wearable Smartsensors for Vapor/Liquid Amphibious Methanol Monitoring
Hongting Ma1, Yu Jiang1, Junlin Ma1
1Zhang Dayu School of Chemistry, Dalian University of Technology, Dalian, Liaoning 116024, China.
Abstract:
A wearable screen-printed electrochemical smartsensor with excellent selectivity for methanol quantification has been developed. This smartsensor consists of a printable sensing system modified with platinum (Pt) confined in a reduced graphene oxide (rGO) matrix, as well as a compact electronic interface for data collection. The real-time electrochemical signal from methanol could be remotely detected and transmitted to a smartphone by blue tooth. It performs good environmental adaptability of vapor/liquid amphibious behaviors. Owing to the uniform distribution of Pt loading on the rGO nanosheets, this sensor demonstrates high selectivity, sensitivity, stability, and recoverability both in vapor and liquid during temperature or humidity diversification, compared with other resistance-based sensors. It also achieves good bending and stretching performance, and it could be a possible candidate device for the quantification of methanol in different environments.
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