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ACS Sens

Title:		Species-Selective Detection of Volatile Organic Compounds by Ionic Liquid-Based Electrolyte Using Electrochemical Methods
Author(s):		Huang X; Li Y; Witherspoon E; He R; Petruncio G; Paige M; Li M; Liu T; Amine K; Wang Z; Li Q; Dong P;
Address:		"Department of Mechanical Engineering, George Mason University, Fairfax, Virginia 22030 United States. Department of Chemistry & Biochemistry, George Mason University, Manassas, Virginia 20110, United States. Department of Electrical and Computer Engineering, George Mason University, Fairfax, Virginia 22030 United States. Department of Chemistry, Oakland University, Rochester Hills, Michigan 48309 United States. Chemical Sciences and Engineering Division, Argonne National Laboratory, Argonne, Illinois 60439, United States. Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University (IAU), Dammam 34221, Saudi Arabia"
Journal Title:		ACS Sens
Year:		2023
Volume:		20230817
Issue:		9
Page Number:		3389 - 3399
DOI:		10.1021/acssensors.3c00578
ISSN/ISBN:		2379-3694 (Electronic) 2379-3694 (Linking)
Abstract:		"The detection of volatile organic compounds (VOCs) is an important topic for environmental safety and public health. However, the current commercial VOC detectors suffer from cross-sensitivity and low reproducibility. In this work, we present species-selective detection for VOCs using an electrochemical cell based on ionic liquid (IL) electrolytes with features of high selectivity and reliability. The voltammograms measured with the IL-based electrolyte absorbing different VOCs exhibited species-selective features that were extracted and classified by linear discriminant analysis (LDA). The detection system could identify as many as four types of VOCs, including methanol, ethanol, acetone, formaldehyde, and additional water. A mixture of methanol and formaldehyde was detected as well. The sample required for the VOCs classification system was 50 muL, or 1.164 mmol, on average. The response time for each VOC measurement is as fast as 24 s. The volume of VOCs such as formaldehyde in solution could also be quantified by LDA and electrochemical impedance spectroscopy techniques, respectively. The system showed a tunable detection range for 1.6 and 16% (w/v) CH(2)O solution by adjusting the composition of the electrolyte. The limit of detection was as low as 1 muL. For the 1.6% CH(2)O solution, the linearity calibration range was determined to be from 5.30 to 53.00 mumol with a limit of detection at 0.53 mumol. The mechanisms for VOCs determination and quantification are also thoroughly discussed. It is expected that this work could provide a new insight into the concept of electrochemical detection of VOCs with machine learning analysis and be applied to both VOCs gas monitoring and fluid detection"
Keywords:		*Volatile Organic Compounds/analysis *Ionic Liquids Reproducibility of Results Methanol Acetone VOC detection electrochemistry free radical ionic liquid linear discriminant analysis;
Notes:		"MedlineHuang, Xiaozhou Li, Yaonian Witherspoon, Erin He, Rui Petruncio, Greg Paige, Mikell Li, Matthew Liu, Tongchao Amine, Khalil Wang, Zhe Li, Qiliang Dong, Pei eng Research Support, U.S. Gov't, Non-P.H.S. 2023/08/17 ACS Sens. 2023 Sep 22; 8(9):3389-3399. doi: 10.1021/acssensors.3c00578. Epub 2023 Aug 17"