Smart Breath Sentinel: A NO<sub>2</sub> Gas Sensor with ppt-Level Detection Lower Limit and High Signal-to-Noise Ratio Based on In(OH)<sub>3</sub>-α-Fe<sub>2</sub>O<sub>3</sub>–ZnO for an Application on Intelligent Upgrade of Ordinary Masks

Nitrogen dioxide (NO<sub>2</sub>), the main component of pollutants in atmospheric environments, causes and exacerbates respiratory diseases, especially during outdoor sports even at the 100 ppb level. Currently, environmental gas detection still faces challenges such as high detection limits, low SNR, and low sensitivity. A NO<sub>2</sub> sensor based on In(OH)<sub>3</sub>-α-Fe<sub>2</sub>O<sub>3</sub>-ZnO was prepared using a hydrothermal method, featuring an ultralow detection limit of 82 ppt, an exceptionally high SNR of 574,000, and an ultrahigh sensitivity of 252.25 mV/ppm (100 ppb to 1 ppm). And this sensor exhibits excellent response, selectivity, and repeatability. These excellent sensing characteristics come from the adsorbed oxygen on the surface of the material with the formation of <i>n</i>-<i>n</i> heterojunctions. Additionally, a low-power, portable, and cost-effective environmental monitoring system (named Smart Breath Sentinel (SBS)) was designed to intelligently upgrade ordinary masks. SBS enables real-time wireless environmental gas monitoring with integrated humidity compensation to ensure accurate measurements in high-humidity environments. SBS has already been tested in multiple environments, and the test results have proven the feasibility of SBS. This sensor based on In(OH)<sub>3</sub>-α-Fe<sub>2</sub>O<sub>3</sub>-ZnO demonstrates significant potential for applications aimed at enhancing human safety.

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Publication Details

Journal
ACS Sensors
Published
2025-04-03
DOI
https://doi.org/10.1021/acssensors.4c03131
Citations
7
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
5.11

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article

Smart Breath Sentinel: A NO2 Gas Sensor with ppt-Level Detection Lower Limit and High Signal-to-Noise Ratio Based on In(OH)3-α-Fe2O3–ZnO for an Application on Intelligent Upgrade of Ordinary Masks

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7 citations
ACS Sensors
Gas Sensing Nanomaterials and Sensors
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article

Smart Breath Sentinel: A NO2 Gas Sensor with ppt-Level Detection Lower Limit and High Signal-to-Noise Ratio Based on In(OH)3-α-Fe2O3–ZnO for an Application on Intelligent Upgrade of Ordinary Masks

Hairui Fang, Dong Wang, Xinyu Wang, Tingting Zhao, Kaikai Yuan, Lei Ge, Hong Chen, Jiawei Zhang, Xiao Ma, Rong Tan
article en
7 citations

Abstract

Nitrogen dioxide (NO<sub>2</sub>), the main component of pollutants in atmospheric environments, causes and exacerbates respiratory diseases, especially during outdoor sports even at the 100 ppb level. Currently, environmental gas detection still faces challenges such as high detection limits, low SNR, and low sensitivity. A NO<sub>2</sub> sensor based on In(OH)<sub>3</sub>-α-Fe<sub>2</sub>O<sub>3</sub>-ZnO was prepared using a hydrothermal method, featuring an ultralow detection limit of 82 ppt, an exceptionally high SNR of 574,000, and an ultrahigh sensitivity of 252.25 mV/ppm (100 ppb to 1 ppm). And this sensor exhibits excellent response, selectivity, and repeatability. These excellent sensing characteristics come from the adsorbed oxygen on the surface of the material with the formation of <i>n</i>-<i>n</i> heterojunctions. Additionally, a low-power, portable, and cost-effective environmental monitoring system (named Smart Breath Sentinel (SBS)) was designed to intelligently upgrade ordinary masks. SBS enables real-time wireless environmental gas monitoring with integrated humidity compensation to ensure accurate measurements in high-humidity environments. SBS has already been tested in multiple environments, and the test results have proven the feasibility of SBS. This sensor based on In(OH)<sub>3</sub>-α-Fe<sub>2</sub>O<sub>3</sub>-ZnO demonstrates significant potential for applications aimed at enhancing human safety.

ACS SensorsVol. 10(4)
Electric Power University (VN), Northeast Electric Power University (CN), Ningbo Product Quality Supervision and Inspection Institute (CN), Wuhan Technology and Business University (CN)
Education Department of Jilin Province
Affordable and clean energy
Openalex Percentile: Top 5%
Gas Sensing Nanomaterials and Sensors
5.11
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