Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors

The organic volatile compound gases (VOCs) emitted by the rubber running tracks in the park pose a threat to human health. Currently, the challenge lies in how to detect the VOC gas concentration to ensure it is below the level that is harmful to human health. This study developed a low-power aceton...

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Main Authors: Peng Wang, Yuhang Liu, Sheng Hu, Haoran Han, Liangchao Guo, Yan Xiao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Biosensors
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Online Access:https://www.mdpi.com/2079-6374/15/7/457
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author Peng Wang
Yuhang Liu
Sheng Hu
Haoran Han
Liangchao Guo
Yan Xiao
author_facet Peng Wang
Yuhang Liu
Sheng Hu
Haoran Han
Liangchao Guo
Yan Xiao
author_sort Peng Wang
collection DOAJ
description The organic volatile compound gases (VOCs) emitted by the rubber running tracks in the park pose a threat to human health. Currently, the challenge lies in how to detect the VOC gas concentration to ensure it is below the level that is harmful to human health. This study developed a low-power acetone gas sensor based on SnO<sub>2</sub>/Nb<sub>2</sub>C MXene composites, designed for monitoring acetone gas in pocket park rubber tracks at room temperature. Nb<sub>2</sub>C MXene was combined with SnO<sub>2</sub> nanoparticles through a hydrothermal method, and the results showed that the SnO<sub>2</sub>/Nb<sub>2</sub>C MXene composite sensor (SnM-2) exhibited a response value of 146.5% in detecting 1 ppm acetone gas, with a response time of 155 s and a recovery time of 295 s. This performance was significantly better than that of the pure SnO<sub>2</sub> sensor, with a 6-fold increase in response value. Additionally, the sensor exhibits excellent selectivity against VOCs, such as ethanol, formaldehyde, and isopropanol, with good stability (~20 days) and reversibility (~50). It can accurately recognize acetone gas concentrations and has been successfully used to simulate rubber track environments and provide accurate acetone concentration data. This study provides a feasible solution for monitoring VOCs in rubber tracks and the foundation for the development of low-power, high-performance, and 2D MXene gas sensors.
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spelling doaj-art-863d0bc287c14c42977b6d45b4efd9062025-08-20T03:08:08ZengMDPI AGBiosensors2079-63742025-07-0115745710.3390/bios15070457Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C SensorsPeng Wang0Yuhang Liu1Sheng Hu2Haoran Han3Liangchao Guo4Yan Xiao5College of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaCollege of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Architecture and Fine Art, Dalian University of Technology, Dalian 116024, ChinaThe organic volatile compound gases (VOCs) emitted by the rubber running tracks in the park pose a threat to human health. Currently, the challenge lies in how to detect the VOC gas concentration to ensure it is below the level that is harmful to human health. This study developed a low-power acetone gas sensor based on SnO<sub>2</sub>/Nb<sub>2</sub>C MXene composites, designed for monitoring acetone gas in pocket park rubber tracks at room temperature. Nb<sub>2</sub>C MXene was combined with SnO<sub>2</sub> nanoparticles through a hydrothermal method, and the results showed that the SnO<sub>2</sub>/Nb<sub>2</sub>C MXene composite sensor (SnM-2) exhibited a response value of 146.5% in detecting 1 ppm acetone gas, with a response time of 155 s and a recovery time of 295 s. This performance was significantly better than that of the pure SnO<sub>2</sub> sensor, with a 6-fold increase in response value. Additionally, the sensor exhibits excellent selectivity against VOCs, such as ethanol, formaldehyde, and isopropanol, with good stability (~20 days) and reversibility (~50). It can accurately recognize acetone gas concentrations and has been successfully used to simulate rubber track environments and provide accurate acetone concentration data. This study provides a feasible solution for monitoring VOCs in rubber tracks and the foundation for the development of low-power, high-performance, and 2D MXene gas sensors.https://www.mdpi.com/2079-6374/15/7/457gas sensorSnO<sub>2</sub>/Nb<sub>2</sub>CT<sub>x</sub> MXenesVOCs gashealth risk monitoring
spellingShingle Peng Wang
Yuhang Liu
Sheng Hu
Haoran Han
Liangchao Guo
Yan Xiao
Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
Biosensors
gas sensor
SnO<sub>2</sub>/Nb<sub>2</sub>CT<sub>x</sub> MXenes
VOCs gas
health risk monitoring
title Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
title_full Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
title_fullStr Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
title_full_unstemmed Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
title_short Rapid Detection of VOCs from Pocket Park Surfaces for Health Risk Monitoring Using SnO<sub>2</sub>/Nb<sub>2</sub>C Sensors
title_sort rapid detection of vocs from pocket park surfaces for health risk monitoring using sno sub 2 sub nb sub 2 sub c sensors
topic gas sensor
SnO<sub>2</sub>/Nb<sub>2</sub>CT<sub>x</sub> MXenes
VOCs gas
health risk monitoring
url https://www.mdpi.com/2079-6374/15/7/457
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