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Spectroscopy with computational analysis in virological studies: A decade (2006-2016).
Trends in Analytical Chemistry ( IF 11.8 ) Pub Date : 2017-09-21 , DOI: 10.1016/j.trac.2017.09.015
Marfran C D Santos 1 , Camilo L M Morais 1 , Yasmin M Nascimento 2, 3 , Josélio M G Araujo 2, 3 , Kássio M G Lima 1
Affiliation  

This review presents a retrospective of the studies carried out in the last 10 years (2006-2016) using spectroscopic methods as a research tool in the field of virology. Spectroscopic analyses are sensitive to variations in the biochemical composition of the sample, are non-destructive, fast and require the least sample preparation, making spectroscopic techniques tools of great interest in biological studies. Herein important chemometric algorithms that have been used in virological studies are also evidenced as a good alternative for analyzing the spectra, discrimination and classification of samples. Techniques that have not yet been used in the field of virology are also suggested. This methodology emerges as a new and promising field of research, and may be used in the near future as diagnosis tools for detecting diseases caused by viruses.

中文翻译:

在病毒学研究中进行计算分析的光谱学:十年(2006-2016)。

本综述回顾了过去 10 年(2006-2016 年)使用光谱方法作为病毒学领域的研究工具进行的研究。光谱分析对样品生化成分的变化很敏感,具有非破坏性、快速且需要最少的样品制备,这使得光谱技术成为生物学研究中非常感兴趣的工具。在此,已在病毒学研究中使用的重要化学计量算法也被证明是分析样品光谱、鉴别和分类的良好替代方案。还建议了尚未在病毒学领域使用的技术。这种方法作为一个新的和有前途的研究领域出现,并可能在不久的将来用作检测由病毒引起的疾病的诊断工具。
更新日期:2017-09-29
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