Flexible virtual sensor array based on laser-induced graphene and MXene for detecting volatile organic compounds in human breath

Li, Dongsheng, Shao, Yuzhou, Zhang, Qian, Qu, Mengjiao, Ping, Jianfeng, Fu, Richard (Yong Qing) and Xie, Jin (2021) Flexible virtual sensor array based on laser-induced graphene and MXene for detecting volatile organic compounds in human breath. Analyst. ISSN 0003-2654 (In Press)

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Official URL: https://doi.org/10.1039/D1AN01059J

Abstract

Detecting volatile organic compounds (VOCs) in human breath is critical for early diagnosis of diseases. Good selectivity of VOCs sensors is crucial for accurate analysis of VOCs biomarkers in human breath, which consists of more than 200 types of VOCs. In this paper, a flexible virtual sensor array (FVSA) was proposed based on a sensing layer of MXene and laser-induced graphene interdigital electrodes (LIG-IDEs) for detecting VOCs in the exhaled breath. Fabrication of LIG-IDEs avoids the costly and complicated procedures for preparation of traditional IDEs. The FVSA’s responses of multi-parameters build a unique fingerprint for each VOC, without a need for changing the temperature of sensing element, which is commonly used in the VSA of semiconductor VOCs sensors. Based on machine learning algorithms, we have achieved highly precise recognitions of different VOCs and mixtures, and accurate prediction (accuracy of 89.1%) of the objective VOC’s concentration in variable backgrounds using this proposed FVSA. Moreover, blind analysis validates the capacity of the FVSA to identify alcohol content in human breath with an accuracy of 88.9%, using breath samples from volunteers before and after alcohol consumption. These results show the proposed FVSA is promising for detection of VOCs biomarkers in human exhaled breath and early diagnosis of the disease.

Item Type: Article
Uncontrolled Keywords: Flexible VOCs sensor, Laser-induced graphene, MXene, Selectivity, Virtual sensor array, Human breath detection
Subjects: F200 Materials Science
F300 Physics
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 02 Aug 2021 11:19
Last Modified: 02 Aug 2021 11:30
URI: http://nrl.northumbria.ac.uk/id/eprint/46823

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