Progress in the Study of Exhaled Gas Fingerprinting in Diabetes
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.
exhaled gas detectiondiabetes mellitusdisease diagnosisnon-invasiveacetonevolatile organic compounds
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