Department of Microbiology, University College Cork, Cork, Ireland.
J Microbiol Methods. 2011 Mar;84(3):369-78. doi: 10.1016/j.mimet.2011.01.009. Epub 2011 Jan 21.
Vibrational spectroscopy techniques have shown capacity to provide non-destructive, rapid, relevant information on microbial systematics, useful for classification and identification. Infrared spectroscopy enables the biochemical signatures from microbiological structures to be extracted and analyzed, in conjunction with advanced chemometrics. In addition, a number of recent studies have shown that Fourier Transform Infrared (FT-IR) spectroscopy can help understand the molecular basis of events such as the adaptive tolerance responses expressed by bacteria when exposed to stress conditions in the environment (e.g. those that cells confront in food and during food processing). The current review gives an overview of the published experimental techniques, data-processing algorithms and approaches used in FT-IR spectroscopy to assess the mechanisms of bacterial inactivation by food processing technologies and antimicrobial compounds, to monitor the spore and membrane properties of foodborne pathogens in changing environments, to detect stress-injured microorganisms in food-related environments, to assess dynamic changes in bacterial populations, and to study bacterial tolerance responses.
振动光谱技术已经显示出能够提供关于微生物系统学的非破坏性、快速、相关信息，有助于分类和鉴定。红外光谱能够提取和分析微生物结构的生化特征，结合先进的化学计量学。此外，最近的一些研究表明，傅里叶变换红外（FT-IR）光谱可以帮助理解分子基础事件，如细菌在暴露于环境中的胁迫条件下（例如，细胞在食品中遇到的和在食品加工过程中遇到的）所表达的适应性耐受反应。本综述概述了用于 FT-IR 光谱的已发表的实验技术、数据处理算法和方法，用于评估食品加工技术和抗菌化合物对细菌失活的机制，监测变化环境中食源性病原体的孢子和膜特性，检测食品相关环境中的应激损伤微生物，评估细菌种群的动态变化，以及研究细菌的耐受反应。
