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J Hazard Mater


Title:Selective detection of VOCs using microfluidic gas sensor with embedded cylindrical microfeatures coated with graphene oxide
Author(s):Ghazi M; Janfaza S; Tahmooressi H; Tasnim N; Hoorfar M;
Address:"School of Engineering, University of British Columbia, Kelowna, BC, Canada. School of Engineering, University of British Columbia, Kelowna, BC, Canada; School of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada. School of Engineering, University of British Columbia, Kelowna, BC, Canada; School of Engineering and Computer Science, University of Victoria, Victoria, BC, Canada. Electronic address: mina.hoorfar@ubc.ca"
Journal Title:J Hazard Mater
Year:2022
Volume:20211020
Issue:Pt C
Page Number:127566 -
DOI: 10.1016/j.jhazmat.2021.127566
ISSN/ISBN:1873-3336 (Electronic) 0304-3894 (Linking)
Abstract:"Volatile organic compounds (VOCs) are major environmental pollutants. Exposure to VOCs has been associated with adverse health outcomes. The monitoring of hazardous VOCs is a vital step towards identifying their presence and preventing the risk of acute or chronic exposure and polluting the environment. One of the challenges associated with monitoring VOCs is selectivity of the sensor. Microfluidic gas sensors offer selective and sensitive detection capabilities that have been recently applied for detection of VOCs. In this study, we achieve improved selectivity for detection of a range of VOCs by adding micro- and nanofeatures to the microchannel of microfluidic gas sensors. First, microfeatures are embedded into the microchannel and their geometries are optimized using Taguchi design of experiment method. In the next step the microfeatures embedded microchannel is coated with graphene oxide, to increase the surface to volume ratio by introducing nanofeatures to the surfaces. The nano- and microfeatures are characterized by SEM, XPS, and water contact angle measurement. Finally, the changes in the sensor response are compared to plain microfluidic gas sensor, the results show an average of 64.4% and 120.9% improvement in the selectivity of the sensor with microfeatures and both nano- and microfeatures, respectively"
Keywords:*Graphite Microfluidics *Volatile Organic Compounds Graphene oxide Microfluidic gas sensor Optimization Selectivity Volatile organic compounds;
Notes:"MedlineGhazi, Mahan Janfaza, Sajjad Tahmooressi, Hamed Tasnim, Nishat Hoorfar, Mina eng Research Support, Non-U.S. Gov't Netherlands 2021/11/05 J Hazard Mater. 2022 Feb 15; 424(Pt C):127566. doi: 10.1016/j.jhazmat.2021.127566. Epub 2021 Oct 20"

 
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