Progress in the Study of Exhaled Gas Fingerprinting in Diabetes

Wu Haoping, Li Lei, Zeng Rui, Zhu Yuchen, Zhao Bin, Feng Fei

Prog Chem ›› 2024, Vol. 36 ›› Issue (4) : 601-611.

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Prog Chem ›› 2024, Vol. 36 ›› Issue (4) : 601-611. DOI: 10.7536/PC231110
Review

Progress in the Study of Exhaled Gas Fingerprinting in Diabetes

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Abstract

in recent years,there has been a significant surge of interest in exploring exhaled gas detection within the context of diabetes research.This burgeoning field has attracted considerable attention due to its potential implications for the early detection and management of diabetes mellitus.Through a comprehensive synthesis of 114 pertinent scholarly works,researchers have delved into the intricate association between diabetes mellitus and exhaled gas detection.Leveraging state-of-the-art detection and analysis methodologies,including gas chromatography,mass spectrometry,spectroscopy,and sensor-based detection systems.This review provides an overview of the composition of some volatile organic compounds and their sources in the exhaled gas of diabetic patients.Furthermore,the application of machine learning-based algorithms has been scrutinized for its potential to facilitate predictive modeling of diabetes risk and associated complications.This comprehensive review also examines the national and international landscape of the development and application of exhaled gas detection methodologies in diabetes research,offering critical insights into current limitations and potential avenues for future research and application。

Contents

1 Introduction

2 Components and sources of exhaled gas in diabetes

2.1 Composition of exhaled gas

2.2 Causes of changes in the composition of exhaled gas and its physiological origin in diabetic patients

3 Diabetic exhaled gas detection method

3.1 Gas chromatography detection methods

3.2 Direct detection by mass spectrometry

3.3 Spectroscopic detection methods

3.4 Sensor Detection Methods

4 Diabetes exhaled gas detection algorithm

5 Conclusion and outlook

Key words

exhaled gas detection / diabetes mellitus / disease diagnosis / non-invasive / acetone / volatile organic compounds

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Wu Haoping , Li Lei , Zeng Rui , et al . Progress in the Study of Exhaled Gas Fingerprinting in Diabetes[J]. Progress in Chemistry. 2024, 36(4): 601-611 https://doi.org/10.7536/PC231110

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Funding

National Key Research and Development Program of China(2018YFA0208504)
Shanghai "Science and Technology Innovation Action Plan" Medical Innovation Research Special Program(22Y11900600)
General project of the National Natural Science Foundation of China(8217142522)
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