A Pt/Pd-Decorated SnO <sub>2</sub> -Based Electronic Nose for High-Precision Breath Analysis in Diagnosing SIBO

, CO, ethanol, and acetone, the system provides a more informative diagnostic profile than conventional single-marker tests. Furthermore, the electronic nose employs dual operating temperatures (135 and 190 °C) to enhance gas discrimination. Machine learning-assisted signal processing further optimizes the system's ability to differentiate gases, enabling more accurate detection in clinical settings. It achieves a 93% classification accuracy and a mean squared error of 0.78 for gas concentration estimation. Importantly, the system was validated using real clinical breath samples collected after lactulose ingestion, where SIBO patients exhibited markedly elevated responses (7.62-18.77) compared to healthy individuals (2.45-4.91). This clinically validated, multi-gas platform offers improved accuracy and practical potential for SIBO diagnosis.

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Publication Details

Journal
ACS Sensors
Published
2026-04-13
DOI
https://doi.org/10.1021/acssensors.6c00086
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

A Pt/Pd-Decorated SnO 2 -Based Electronic Nose for High-Precision Breath Analysis in Diagnosing SIBO

Ping Guo, Guohua Cai, Xuyang An, Yinhua Hu et al.
ACS Sensors
Advanced Chemical Sensor Technologies
article

A Pt/Pd-Decorated SnO 2 -Based Electronic Nose for High-Precision Breath Analysis in Diagnosing SIBO

Ping Guo, Guohua Cai, Xuyang An, Yinhua Hu, Xinxin He, Tiezhu Liu, Tong Zhang, Yanjie Chu, Shuai Liang
article en

Abstract

, CO, ethanol, and acetone, the system provides a more informative diagnostic profile than conventional single-marker tests. Furthermore, the electronic nose employs dual operating temperatures (135 and 190 °C) to enhance gas discrimination. Machine learning-assisted signal processing further optimizes the system's ability to differentiate gases, enabling more accurate detection in clinical settings. It achieves a 93% classification accuracy and a mean squared error of 0.78 for gas concentration estimation. Importantly, the system was validated using real clinical breath samples collected after lactulose ingestion, where SIBO patients exhibited markedly elevated responses (7.62-18.77) compared to healthy individuals (2.45-4.91). This clinically validated, multi-gas platform offers improved accuracy and practical potential for SIBO diagnosis.

ACS SensorsVol. 11(4)
Harbin Medical University (CN), Harbin Institute of Technology (CN), Second Affiliated Hospital of Harbin Medical University (CN), Microsystems (United Kingdom) (GB), Tang Hospital (CN)
Key Research and Development Program of Heilongjiang, National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation of Chongqing, National Key Research and Development Program of China
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Advanced Chemical Sensor Technologies
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