Sohier Danièle, Pavan Sonia, Riou Armelle, Combrisson Jérôme, Postollec Florence
Food Safety and Quality Unit, ADRIA Développement, Agri-Food Technical Institute, Quimper, France.
Bretagne Biotechnologie Alimentaire dairy association member, Analytical Sciences, Danone Research, Palaiseau, France.
Front Microbiol. 2014 Feb 7;5:16. doi: 10.3389/fmicb.2014.00016. eCollection 2014.
Traditionally, culture-based methods have been used to enumerate microbial populations in dairy products. Recent developments in molecular methods now enable faster and more sensitive analyses than classical microbiology procedures. These molecular tools allow a detailed characterization of cell physiological states and bacterial fitness and thus, offer new perspectives to integration of microbial physiology monitoring to improve industrial processes. This review summarizes the methods described to enumerate and characterize physiological states of technological microbiota in dairy products, and discusses the current deficiencies in relation to the industry's needs. Recent studies show that Polymerase chain reaction-based methods can successfully be applied to quantify fermenting microbes and probiotics in dairy products. Flow cytometry and omics technologies also show interesting analytical potentialities. However, they still suffer from a lack of validation and standardization for quality control analyses, as reflected by the absence of performance studies and official international standards.
传统上,基于培养的方法一直用于对乳制品中的微生物种群进行计数。分子方法的最新进展使得分析速度比传统微生物学方法更快、更灵敏。这些分子工具能够详细表征细胞生理状态和细菌适应性,从而为整合微生物生理监测以改进工业生产过程提供了新的视角。本综述总结了用于对乳制品中工艺微生物群的生理状态进行计数和表征的方法,并讨论了与行业需求相关的当前不足之处。最近的研究表明,基于聚合酶链反应的方法能够成功应用于定量乳制品中的发酵微生物和益生菌。流式细胞术和组学技术也显示出有趣的分析潜力。然而,正如性能研究和官方国际标准的缺失所反映的那样,它们在质量控制分析方面仍然缺乏验证和标准化。