Background

Microbial contamination is an increasing concern in the food industry. In order to understand the effect of microorganisms, the study of their characteristics and behavior in various platforms is of prime importance. Over the years, time-consuming and labor-intensive, culture-based enumeration techniques have become obsolete for real-time applications, and increasing concerns on foodborne outbreaks necessitate rapid, on-site and sensitive methods for the detection of microorganisms in food matrices.

Scope and approach

In the current review, a brief discussion about biomarkers in microorganisms and bio-recognition ligands commonly used for detection assay are presented. The molecular interaction between biomarkers and ligands is critically evaluated and recent developments in bio-recognition based detection techniques for analyzing microorganism activity in complex food matrices are reviewed.

Key findings and conclusions

The microbial activity in food can be detected by analyzing the specific biomarkers of microorganisms such as nucleic acids, proteins, antigens, and metabolic products. Recent bio-recognition ligands in detection techniques such as biosensors, lateral flow assay, and microfluidic devices can improve the selectivity in detecting cells from complex food matrices. The emerging bio-recognition based methods bridge the gap between culture-dependent enumeration and molecular methods, and they could be employed in the industry to ensure food safety. However, the development of a validation protocol for all the emerging methods is necessary to assess their efficiency in real samples.

中文翻译：

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利用生物识别的食品基质中微生物活动快速检测技术的最新进展：综述

背景

在食品工业中，微生物污染日益受到关注。为了了解微生物的作用，研究其在各种平台上的特性和行为至关重要。多年来，费时且费力的，基于文化的枚举技术已不再适用于实时应用，并且对食源性疾病的关注日益增加，因此需要快速，现场和灵敏的方法来检测食品基质中的微生物。

范围和方法

在当前的审查中，简要讨论了微生物中的生物标志物和通常用于检测分析的生物识别配体。严格评估了生物标志物与配体之间的分子相互作用，并综述了基于生物识别的检测技术用于分析复杂食品基质中微生物活性的最新进展。

主要发现和结论

食物中的微生物活性可以通过分析微生物的特定生物标志物来检测，例如核酸，蛋白质，抗原和代谢产物。检测技术（例如生物传感器，侧向流动测定和微流体设备）中最新的生物识别配体可以提高从复杂食品基质中检测细胞的选择性。新兴的基于生物识别的方法弥合了依赖于文化的枚举和分子方法之间的鸿沟，可在工业中用于确保食品安全的方法。但是，必须为所有新兴方法开发一种验证协议，以评估其在实际样品中的效率。