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微生物检测和鉴定方法:从台式分析到组学方法。

Microbial detection and identification methods: Bench top assays to omics approaches.

机构信息

UCD School of Agriculture and Food Science, Dublin, Ireland.

UCD School of Biosystems and Food Engineering, Dublin, Ireland.

出版信息

Compr Rev Food Sci Food Saf. 2020 Nov;19(6):3106-3129. doi: 10.1111/1541-4337.12618. Epub 2020 Sep 7.

Abstract

Rapid detection of foodborne pathogens, spoilage microbes, and other biological contaminants in complex food matrices is essential to maintain food quality and ensure consumer safety. Traditional methods involve culturing microbes using a range of nonselective and selective enrichment methods, followed by biochemical confirmation among others. The time-to-detection is a key limitation when testing foods, particularly those with short shelf lives, such as fresh meat, fish, dairy products, and vegetables. Some recent detection methods developed include the use of spectroscopic techniques, such as matrix-assisted laser desorption ionization-time of flight along with hyperspectral imaging protocols.This review presents a comprehensive overview comparing insights into the principles, characteristics, and applications of newer and emerging techniques methods applied to the detection and identification of microbes in food matrices, to more traditional benchtop approaches. The content has been developed to provide specialist scientists a broad view of bacterial identification methods available in terms of their benefits and limitations, which may be useful in the development of future experimental design. The case is also made for incorporating some of these emerging methods into the mainstream, for example, underutilized potential of spectroscopic techniques and hyperspectral imaging.

摘要

快速检测复杂食品基质中的食源性病原体、腐败微生物和其他生物污染物对于保持食品质量和确保消费者安全至关重要。传统方法包括使用一系列非选择性和选择性富集方法培养微生物,然后进行生化确认等。在测试食品时,检测时间是一个关键限制因素,特别是对于保质期短的食品,如新鲜肉类、鱼类、乳制品和蔬菜。一些最近开发的检测方法包括使用光谱技术,如基质辅助激光解吸电离飞行时间和高光谱成像协议。

本综述全面比较了新出现的技术方法在食品基质中微生物检测和鉴定方面的原理、特点和应用,以及更传统的台式方法。本内容旨在为专业科学家提供细菌鉴定方法的广泛概述,包括它们的优缺点,这可能有助于未来实验设计的发展。还提出了将一些新兴方法纳入主流的观点,例如,光谱技术和高光谱成像的未充分利用潜力。

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