首页|Intelligent laser-induced graphene sensor for multiplex probing catechol isomers

Intelligent laser-induced graphene sensor for multiplex probing catechol isomers

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Herein,we unveil the intelligent detection of multiple catechol isomers in complex environments utilizing both laser-induced graphene(LIG)and artificial neural network(ANN).The large scale-up manufacturing of LIG-based sensors(LIGS)with three-electrode configuration on polyimide(PI)is achieved by direct laser-writing and screen-printing technologies.Our LIGS shows excellent electrochemical performance toward catechol isomers,i.e.,hydroquinone(1,4-dihydroxybenzene,HQ),catechol(1,2-dihydroxybenzene,CT),and resorcinol(1,3-dihydroxybenzene,RC),with a low limit of detection(LOD)(CC,0.079 μmol/L;HQ,0.093 μmol/L;RC,1.18 μmol/L).Moreover,the ANN model is developed for machine-intelligent to predict concentrations of catechol isomers under an interfering environment via a single LIGS.Using six unique parameters extracted from the differential pulse voltammetry(DPV)response,the machine learning-based regression provides a coefficient of correlation with 0.998 and is able to correctly predict the total and individual concentrations in complex river samples.Hence,this work provides a guide for the preparation and application of LIGS via facile and cost-efficient mass production and the development of an intelligent sensing platform based on the ANN model.

Laser-induced graphenePhenolic pollutantsElectrochemical detectionArtificial neural network

Tian Cao、Xuyin Ding、Qiwen Peng、Min Zhang、Guoyue Shi

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School of Chemistry and Molecular Engineering,Shanghai Key Laboratory for Urban Ecological Processes and Eco-Restoration,East China Normal University,Shanghai 200241,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaShanghai Municipal Science and Technology Major Project("Beyond Limits Manufacture")

2227405322274051

2024

中国化学快报(英文版)
中国化学会

中国化学快报(英文版)

CSTPCD
影响因子:0.771
ISSN:1001-8417
年,卷(期):2024.35(7)