Light-optimized photovoltaic self-powered NO2 gas sensing based on black silicon

Yang Zhao; Xiao Long Liu; Sheng Xiang Ma; Wen Jing Wang; Xi Jing Ning; Li Zhao; Jun Zhuang

doi:10.1016/j.snb.2021.129985

Light-optimized photovoltaic self-powered NO₂ gas sensing based on black silicon

Yang Zhao, Xiao Long Liu, Sheng Xiang Ma, Wen Jing Wang, Xi Jing Ning, Li Zhao^*, Jun Zhuang

^*Corresponding author for this work

Fudan University

Research output: Contribution to journal › Article › Scientific › peer-review

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Abstract

The NO₂ sensing performance of a special lateral photovoltaic self-powered gas sensor based on the N-hyperdoped microstructured silicon (N-Si) is systematically studied under the different light illumination. The dependence of sensing characteristics on light intensity and wavelength is obtained, respectively. Results show that the sensing properties can be changed effectively by the different intensities and wavelengths, suggesting that a multidimensional regulation/optimization for the sensing characteristics is possible by light. More interestingly, the light with wavelength of 940 nm and intensity of ∼18 μW/cm² could bring a comprehensive optimization for gas sensing, under which the N-Si sensor exhibits the excellent overall performance with simultaneously the low light power needed, good gas response, high sensitivity, wide detectable range and short response time at room temperature.

Original language	English
Article number	129985
Number of pages	10
Journal	Sensors and Actuators, B: Chemical
Volume	340
DOIs	https://doi.org/10.1016/j.snb.2021.129985
Publication status	Published - 1 Aug 2021
MoE publication type	A1 Journal article-refereed

Keywords

Black silicon
Gas sensor
Lateral photovoltaic effect
Nitrogen dioxide
Self-powered gas sensing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.snb.2021.129985

Zhao_Light-optimized_photovoltaicAccepted author manuscript, 2.72 MBLicence: CC BY-NC-ND

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title = "Light-optimized photovoltaic self-powered NO2 gas sensing based on black silicon",

abstract = "The NO2 sensing performance of a special lateral photovoltaic self-powered gas sensor based on the N-hyperdoped microstructured silicon (N-Si) is systematically studied under the different light illumination. The dependence of sensing characteristics on light intensity and wavelength is obtained, respectively. Results show that the sensing properties can be changed effectively by the different intensities and wavelengths, suggesting that a multidimensional regulation/optimization for the sensing characteristics is possible by light. More interestingly, the light with wavelength of 940 nm and intensity of ∼18 μW/cm2 could bring a comprehensive optimization for gas sensing, under which the N-Si sensor exhibits the excellent overall performance with simultaneously the low light power needed, good gas response, high sensitivity, wide detectable range and short response time at room temperature.",

keywords = "Black silicon, Gas sensor, Lateral photovoltaic effect, Nitrogen dioxide, Self-powered gas sensing",

author = "Yang Zhao and Liu, {Xiao Long} and Ma, {Sheng Xiang} and Wang, {Wen Jing} and Ning, {Xi Jing} and Li Zhao and Jun Zhuang",

note = "Funding Information: This work is supported by the National Natural Science Foundation of China under grant no. 6207030573 , the National Basic Research Program of China (973 Program) under grant no. 2012CB934200 , and the Specialized Research Fund for the Doctoral Program of Higher Education under grant no. 20130071110018 . Publisher Copyright: {\textcopyright} 2021 Elsevier B.V. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.",

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doi = "10.1016/j.snb.2021.129985",

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AU - Zhao, Yang

AU - Liu, Xiao Long

AU - Ma, Sheng Xiang

AU - Wang, Wen Jing

AU - Ning, Xi Jing

AU - Zhao, Li

AU - Zhuang, Jun

N1 - Funding Information: This work is supported by the National Natural Science Foundation of China under grant no. 6207030573 , the National Basic Research Program of China (973 Program) under grant no. 2012CB934200 , and the Specialized Research Fund for the Doctoral Program of Higher Education under grant no. 20130071110018 . Publisher Copyright: © 2021 Elsevier B.V. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.

PY - 2021/8/1

Y1 - 2021/8/1

N2 - The NO2 sensing performance of a special lateral photovoltaic self-powered gas sensor based on the N-hyperdoped microstructured silicon (N-Si) is systematically studied under the different light illumination. The dependence of sensing characteristics on light intensity and wavelength is obtained, respectively. Results show that the sensing properties can be changed effectively by the different intensities and wavelengths, suggesting that a multidimensional regulation/optimization for the sensing characteristics is possible by light. More interestingly, the light with wavelength of 940 nm and intensity of ∼18 μW/cm2 could bring a comprehensive optimization for gas sensing, under which the N-Si sensor exhibits the excellent overall performance with simultaneously the low light power needed, good gas response, high sensitivity, wide detectable range and short response time at room temperature.

AB - The NO2 sensing performance of a special lateral photovoltaic self-powered gas sensor based on the N-hyperdoped microstructured silicon (N-Si) is systematically studied under the different light illumination. The dependence of sensing characteristics on light intensity and wavelength is obtained, respectively. Results show that the sensing properties can be changed effectively by the different intensities and wavelengths, suggesting that a multidimensional regulation/optimization for the sensing characteristics is possible by light. More interestingly, the light with wavelength of 940 nm and intensity of ∼18 μW/cm2 could bring a comprehensive optimization for gas sensing, under which the N-Si sensor exhibits the excellent overall performance with simultaneously the low light power needed, good gas response, high sensitivity, wide detectable range and short response time at room temperature.

KW - Black silicon

KW - Gas sensor

KW - Lateral photovoltaic effect

KW - Nitrogen dioxide

KW - Self-powered gas sensing

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JO - Sensors and Actuators, B: Chemical

JF - Sensors and Actuators, B: Chemical

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ER -

Light-optimized photovoltaic self-powered NO₂ gas sensing based on black silicon

Abstract

Keywords

UN SDGs

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Light and gas dual-function detection and mutual enhancement based on hyperdoped black silicon

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