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A room temperature all-optical sensor based on two-dimensional SnS2 for highly sensitive and reversible NO2 sensing by Kai Xu; Nam Ha; Yihong Hu; Qijie Ma; Weijian Chen; Xiaoming Wen; Rui Ou; Vien Trinh; Chris F. McConville; Bao Yue Zhang; Guanghui Ren; Jian Zhen Ou is a Environmental Science article available to read on EtoBox.

What is A room temperature all-optical sensor based on two-dimensional SnS2 for highly sensitive and reversible NO2 sensing about?

Fiber-optic gas sensors have been considered a low-cost, effective, and robust approach for monitoring nitrogen dioxide (NO 2 ) gas which is a major toxic gaseous pollutant. The integration of functional nanoscale materials provides additional dimensions for realizing ultra-sensitive and selective NO 2 detection, however, the trade-off is the need for sophisticated photonic structures or external non-optical peripherals (e.g. electrical heaters). In this work, we demonstrate the development of a room temperature, all-optical, and high-performance NO 2 sensor based on a simple D-shaped optical fiber incorporated with ultra-thin two-dimensional (2D) tin disulfide (SnS 2 ). A visible light source at 473 nm is used to power the optical fiber, and at the same time excite the 2D SnS 2 layer via the evanescent field, to generate extra charge carriers. Upon exposure to NO 2 at room temperature, the physisorbed gas molecules induce charge exchange with the 2D SnS 2 . This significantly re-distributes the photoexcited charge carriers in the ultra-thin material, therefore manipulating the corresponding optical absorption and scattering. As a result, the optical output power intensity varies a

Who reads A room temperature all-optical sensor based on two-dimensional SnS2 for highly sensitive and reversible NO2 sensing?

It is typically read by researchers, students, and practitioners in Environmental Science.

Author
Kai Xu; Nam Ha; Yihong Hu; Qijie Ma; Weijian Chen; Xiaoming Wen; Rui Ou; Vien Trinh; Chris F. McConville; Bao Yue Zhang; Guanghui Ren; Jian Zhen Ou
Publisher
Elsevier BV
Published
2022
Language
EN
Field
Environmental Science (Physical Sciences)

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