A Novel Method for Bacterial UTI Diagnosis Using Raman Spectroscopy

E. Kastanos, A. Kyriakides, Katerina Hadjigeorgiou, C. Pitris
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引用次数: 29

Abstract

The current state of the art on bacterial classification using Raman and Surface Enhanced Raman Spectroscopy (SERS) for the purpose of developing a rapid and more accurate method for urinary tract infection (UTI) diagnosis is presented. SERS, an enhanced version of Raman offering much increased sensitivity, provides complex biochemical information which, in conjunction with advanced analysis and classification techniques, can become a valuable diagnostic tool. The variety of metal substrates used for SERS, including silver and gold colloids, as well as nanostructured metal surfaces, is reviewed. The challenges in preprocessing noisy and complicated spectra and the various methods used for feature creation as well as a novel method using spectral band ratios are described. The various unsupervised and supervised classification methods commonly used for SERS spectra of bacteria are evaluated. Current research on transforming SERS into a valuable clinical tool for the diagnosis of UTIs is presented. Specifically, the classification of bacterial spectra (a) as positive or negative for an infection, (b) as belonging to a particular species of bacteria, and (c) as sensitive or resistant to an antibiotic are described. This work can lead to the development of novel technology with extremely important benefits for public health.
利用拉曼光谱诊断细菌UTI的新方法
本文介绍了利用拉曼光谱和表面增强拉曼光谱(SERS)进行细菌分类的最新进展,目的是开发一种快速、更准确的尿路感染(UTI)诊断方法。SERS是拉曼光谱的增强版本,提供了更高的灵敏度,提供了复杂的生化信息,与先进的分析和分类技术相结合,可以成为一种有价值的诊断工具。各种金属衬底用于SERS,包括银和金胶体,以及纳米结构的金属表面,进行了综述。描述了噪声和复杂光谱预处理的挑战,以及用于特征创建的各种方法,以及使用谱带比的新方法。对细菌SERS光谱常用的各种无监督和有监督分类方法进行了评价。目前的研究将SERS转化为诊断uti的有价值的临床工具。具体来说,描述了细菌光谱的分类(a)感染阳性或阴性,(b)属于特定种类的细菌,以及(c)对抗生素敏感或耐药。这项工作可以导致新技术的发展,对公共卫生有极其重要的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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