Unique Photoactivated Time‐Resolved Response in 2D GeS for Selective Detection of Volatile Organic Compounds

Volatile organic compounds (VOCs) sensors have a broad range of applications including healthcare, process control, and air quality analysis. There are a variety of techniques for detecting VOCs such as optical, acoustic, electrochemical, and chemiresistive sensors. However, existing commercial VOC...

Full description

Saved in:
Bibliographic Details
Published in:Advanced science 2023-04, Vol.10 (10), p.e2205458-n/a
Main Authors: Mohammadzadeh, Mohammad Reza, Hasani, Amirhossein, Jaferzadeh, Keyvan, Fawzy, Mirette, De Silva, Thushani, Abnavi, Amin, Ahmadi, Ribwar, Ghanbari, Hamidreza, Askar, Abdelrahman, Kabir, Fahmid, Rajapakse, R.K.N.D., Adachi, Michael M.
Format: Article
Language:English
Subjects:
2D Materials
Adsorption
Alzheimer's disease
Crystal structure
Ethanol
GeS
Machine learning
Microscopy
Scientific imaging
Sensors
Silicon wafers
VOCs
Volatile organic compounds
volatile organic compounds (VOCs) detection
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Volatile organic compounds (VOCs) sensors have a broad range of applications including healthcare, process control, and air quality analysis. There are a variety of techniques for detecting VOCs such as optical, acoustic, electrochemical, and chemiresistive sensors. However, existing commercial VOC detectors have drawbacks such as high cost, large size, or lack of selectivity. Herein, a new sensing mechanism is demonstrated based on surface interactions between VOC and UV‐excited 2D germanium sulfide (GeS), which provides an effective solution to distinguish VOCs. The GeS sensor shows a unique time‐resolved electrical response to different VOC species, facilitating identification and qualitative measurement of VOCs. Moreover, machine learning is utilized to distinguish VOC species from their dynamic response via visualization with high accuracy. The proposed approach demonstrates the potential of 2D GeS as a promising candidate for selective miniature VOCs sensors in critical applications such as non‐invasive diagnosis of diseases and health monitoring. Here, a new sensing mechanism based on surface interactions between volatile organic compounds (VOCs) and UV‐excited 2D germanium sulfide is demonstrated. The sensor exhibits a unique dynamic response to each VOC during illumination which can be considered as “fingerprints” for VOC identification. Machine learning is utilized to distinguish VOC species from their dynamic response via visualization with high accuracy.
ISSN:2198-3844
2198-3844
DOI:10.1002/advs.202205458