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  5. Green Light-Driven Ultraselective Trimethylamine Detection Using In<sub>2</sub>S<sub>3</sub> Nanoflakes at Room Temperature for Fish Quality Monitoring

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Article
en
2025

Green Light-Driven Ultraselective Trimethylamine Detection Using In<sub>2</sub>S<sub>3</sub> Nanoflakes at Room Temperature for Fish Quality Monitoring

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en
2025
Vol 25 (29)
Vol. 25
DOI: 10.1021/acs.nanolett.5c02819

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Ho Won Jang
Ho Won Jang

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Gi Baek Nam
Yeong Jae Kim
Tae Hoon Eom
+16 more

Abstract

Visible light-activated chemoresistive gas sensors offer low power consumption, room-temperature operation, minimal material degradation, and human safety. While extensive research has focused on NO2 detection due to its high electron affinity, detecting volatile organic compounds or amine gases by light activation remains challenging because of the high activation energy required for interactions with sensing materials. Here, we report the first demonstration of green-light-activated trimethylamine (TMA) detection using β-In2S3 nanoflakes (NFs) corresponding to the bandgap energy of green wavelength. Photoabsorbed β-In2S3 NFs exhibit a TMA response 55 times greater than that in dark condition, with a rapid detection and ultrahigh selectivity. Density functional theory calculations highlight the role of the intrinsic defective structure of β-In2S3 in gas interactions. The β-In2S3 sensors were successfully applied for real-time fish quality monitoring under humid room-temperature conditions. Our findings provide a material strategy that achieves selective detection of specific gas molecules under wavelength-controlled light activation.

How to cite this publication

Gi Baek Nam, Yeong Jae Kim, Tae Hoon Eom, Cheon Woo Moon, Sungkyun Choi, Sung Hwan Cho, Jin Wook Yang, Hyuk Jin Kim, SeonJu Park, Soo Min Lee, Sung Hyuk Park, Sohyeon Park, Seung Ju Kim, Jung‐El Ryu, Hyeon Ji Lee, Seung Won Choi, Yongjo Park, Mi‐Hwa Oh, Ho Won Jang (2025). Green Light-Driven Ultraselective Trimethylamine Detection Using In<sub>2</sub>S<sub>3</sub> Nanoflakes at Room Temperature for Fish Quality Monitoring. , 25(29), DOI: https://doi.org/10.1021/acs.nanolett.5c02819.

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Publication Details

Type

Article

Year

2025

Authors

19

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1021/acs.nanolett.5c02819

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