Technical University of Munich, School of Medicine and Health, Department of Clinical Medicine, Klinikum rechts der Isar, Ismaninger Str. 22, 81675 Munich, Germany.
Department of Chemistry, Technical University of Munich, Lichtenbergstr. 4, D-85747 Garching, Germany; Max-Planck-Institut für Quantenoptik, Hans-Kopfermann-Straße 1, 85748 Garching, Germany.
Spectrochim Acta A Mol Biomol Spectrosc. 2024 Oct 5;318:124473. doi: 10.1016/j.saa.2024.124473. Epub 2024 May 21.
Infrared spectroscopy appears to be a promising analytical method for the metabolic analysis of breath. However, due to the presence of trace amounts in exhaled breath, the absorption strength of the metabolites remains extremely low. In such low detection limits, the nonlinear detection sensitivity of the infrared detector and electronic noise strongly modify the baseline of the acquired infrared spectra of breath. Fitting the reference molecular spectra with the baseline-modified spectral features of breath metabolites does not provide accurate identification. Therefore, baseline correction of the acquired infrared spectra of breath is the primary requirement for the success of breath-based infrared diagnosis. A selective spectral region-based, simple baseline correction method is proposed for the infrared spectroscopy of breath.
红外光谱分析似乎是一种很有前途的代谢分析呼气的方法。然而，由于呼出的气体中痕量存在，代谢物的吸收强度仍然极低。在如此低的检测极限下，红外探测器的非线性检测灵敏度和电子噪声会强烈地改变呼吸的获取的红外光谱的基线。将参考分子光谱与呼吸代谢物的基线修正光谱特征进行拟合并不能提供准确的识别。因此，对呼吸的获取的红外光谱进行基线校正，是基于呼吸的红外诊断成功的首要要求。本文提出了一种基于选择性光谱区域的简单基线校正方法，用于呼吸的红外光谱分析。
