Dr. C. Quintelas, Dr. E. C. Ferreira, CEB - Centro de Engenharia Biológica, Universidade do Minho, Braga, Portugal.
Dr. J. A. Lopes, Research Institute for Medicines (iMed.ULisboa), Faculdade de Farmácia, Universidade de Lisboa, Lisboa, Portugal.
Biotechnol J. 2018 Jan;13(1). doi: 10.1002/biot.201700449. Epub 2017 Nov 15.
The sustained emergence of new declared bacterial species makes typing a continuous challenge for microbiologists. Molecular biology techniques have a very significant role in the context of bacterial typing, but they are often very laborious, time consuming, and eventually fail when dealing with very closely related species. Spectroscopic-based techniques appear in some situations as a viable alternative to molecular methods with advantages in terms of analysis time and cost. Infrared and mass spectrometry are among the most exploited techniques in this context: particularly, infrared spectroscopy emerged as a very promising method with multiple reported successful applications. This article presents a systematic review on infrared spectroscopy applications for bacterial typing, highlighting fundamental aspects of infrared spectroscopy, a detailed literature review (covering different taxonomic levels and bacterial species), advantages, and limitations of the technique over molecular biology methods and a comparison with other competing spectroscopic techniques such as MALDI-TOF MS, Raman, and intrinsic fluorescence. Infrared spectroscopy possesses a high potential for bacterial typing at distinct taxonomic levels and worthy of further developments and systematization. The development of databases appears fundamental toward the establishment of infrared spectroscopy as a viable method for bacterial typing.
新宣布的细菌物种的持续出现使得对微生物学家来说,对其进行分型一直是一个挑战。分子生物学技术在细菌分型方面具有非常重要的作用,但它们通常非常繁琐、耗时,并且在处理非常密切相关的物种时最终会失败。基于光谱的技术在某些情况下似乎是分子方法的可行替代方法,在分析时间和成本方面具有优势。在这方面,红外和质谱是应用最广泛的技术之一:特别是,红外光谱作为一种非常有前途的方法脱颖而出,有多项成功应用的报道。本文对用于细菌分型的红外光谱应用进行了系统综述,强调了红外光谱的基本方面,详细的文献综述(涵盖不同的分类水平和细菌物种)、该技术相对于分子生物学方法的优势和局限性,以及与其他竞争光谱技术(如 MALDI-TOF MS、拉曼和固有荧光)的比较。红外光谱在不同的分类水平上具有很高的细菌分型潜力,值得进一步发展和系统化。建立数据库对于将红外光谱确立为一种可行的细菌分型方法至关重要。