气体分析呼吸
呼出的空气
光谱学
糖尿病
分子诊断学
分子生物标志物
化学
医学
色谱法
内科学
生物信息学
生物
内分泌学
毒理
物理
量子力学
作者
Yury V. Kistenev,А. В. Борисов,Vyacheslav S. Zasedatel,Л. В. Спирина
标识
DOI:10.1002/jbio.202300198
摘要
Abstract The review is aimed on the analysis the abilities of noninvasive diagnostics and monitoring of diabetes mellitus (DM) and DM‐associated complications through volatile molecular biomarkers detection in the exhaled breath. The specific biochemical reactions in the body of DM patients and their associations with volatile molecular biomarkers in the breath are considered. The applications of optical spectroscopy methods, including UV, IR, and terahertz spectroscopy for DM‐associated volatile molecular biomarkers measurements, are described. The applications of similar technique combined with machine learning methods in DM diagnostics using the profile of DM‐associated volatile molecular biomarkers in exhaled air or “pattern‐recognition” approach are discussed.
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