Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Straße 1, 85748 Garching, Germany.
Lehrstuhl für Experimental Physik, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany.
Molecules. 2023 Mar 2;28(5):2320. doi: 10.3390/molecules28052320.
Many life-threatening diseases remain obscure in their early disease stages. Symptoms appear only at the advanced stage when the survival rate is poor. A non-invasive diagnostic tool may be able to identify disease even at the asymptotic stage and save lives. Volatile metabolites-based diagnostics hold a lot of promise to fulfil this demand. Many experimental techniques are being developed to establish a reliable non-invasive diagnostic tool; however, none of them are yet able to fulfil clinicians' demands. Infrared spectroscopy-based gaseous biofluid analysis demonstrated promising results to fulfil clinicians' expectations. The recent development of the standard operating procedure (SOP), sample measurement, and data analysis techniques for infrared spectroscopy are summarized in this review article. It has also outlined the applicability of infrared spectroscopy to identify the specific biomarkers for diseases such as diabetes, acute gastritis caused by bacterial infection, cerebral palsy, and prostate cancer.
许多危及生命的疾病在早期阶段仍不明确。症状仅在生存率较差的晚期出现。一种非侵入性的诊断工具也许能够在无症状阶段识别疾病，从而拯救生命。基于挥发性代谢物的诊断学有很大的潜力来满足这一需求。许多实验技术正在被开发以建立一个可靠的非侵入性诊断工具；然而，目前还没有一种能够满足临床医生的需求。基于红外光谱的气态生物流体分析在满足临床医生的期望方面显示出了很有前景的结果。本文总结了红外光谱的标准操作程序（SOP）、样品测量和数据分析技术的最新发展，并概述了红外光谱在识别糖尿病、细菌性急性胃炎、脑瘫和前列腺癌等疾病的特定生物标志物方面的适用性。
