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血液的红外光谱学

Infrared Spectroscopy of Blood.

机构信息

2541Monash University - Centre for Biospectroscopy, Clayton, Victoria, Australia.

出版信息

Appl Spectrosc. 2021 Jun;75(6):611-646. doi: 10.1177/0003702820985856. Epub 2021 Jan 28.

Abstract

The magnitude of infectious diseases in the twenty-first century created an urgent need for point-of-care diagnostics. Critical shortages in reagents and testing kits have had a large impact on the ability to test patients with a suspected parasitic, bacteria, fungal, and viral infections. New point-of-care tests need to be highly sensitive, specific, and easy to use and provide results in rapid time. Infrared spectroscopy, coupled to multivariate and machine learning algorithms, has the potential to meet this unmet demand requiring minimal sample preparation to detect both pathogenic infectious agents and chronic disease markers in blood. This focal point article will highlight the application of Fourier transform infrared spectroscopy to detect disease markers in blood focusing principally on parasites, bacteria, viruses, cancer markers, and important analytes indicative of disease. Methodologies and state-of-the-art approaches will be reported and potential confounding variables in blood analysis identified. The article provides an up to date review of the literature on blood diagnosis using infrared spectroscopy highlighting the recent advances in this burgeoning field.

摘要

在二十一世纪,传染病的严重程度使得即时检测诊断成为当务之急。试剂和检测试剂盒的严重短缺,极大地影响了对疑似寄生虫、细菌、真菌和病毒感染患者进行检测的能力。新的即时检测需要具有高度的灵敏度、特异性和易用性,并能快速提供结果。红外光谱结合多元和机器学习算法,有可能满足这一未满足的需求,只需最小化样本制备即可检测血液中的致病传染性病原体和慢性疾病标志物。本文将重点介绍傅里叶变换红外光谱在检测血液中疾病标志物方面的应用,主要集中在寄生虫、细菌、病毒、癌症标志物以及指示疾病的重要分析物上。将报告方法和最先进的方法,并确定血液分析中的潜在混杂变量。本文对使用红外光谱进行血液诊断的文献进行了最新综述,强调了这一新兴领域的最新进展。

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