A Molecular Procedure for Detecting Dairy Products Adulteration

B. Tudor, O. Boldura, C. Mircu, C. Tulcan, S. Marc, B. Lungu, I. Torda, I. Huțu
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引用次数: 0

Abstract

Dairy products are an essential component of human nutrition and therefore are prone to adulteration. Although many methods have been developed based on the analysis of protein substances by which adulteration is detected, they have low efficiency in the case of processed products. In this context, methods based on DNA analysis have become the best choice, although the results are not universally valid and must be adapted to the composition and local specificities. Here is presented a study of the applicability of a fast and cost-effective DNA-based method to determine the species composition of dairy products by performing a qualitative triplex PCR detection technique in the analysis of local dairy products. The procedure is adapted to the domestic market and considers experimental models developed and well defined internationally. In the in-house validation of this method, three species of ruminants were considered: beef, sheep, and goat. The reference material was represented by cheeses prepared in our laboratory in strictly controlled percentage mixtures. Total genomic DNA isolated from the reference cheeses were used to develop a triplex PCR method, which involves the simultaneous detection of the three species studied using a mixture of three pairs of primers. The reference materials proved to be optimal for such studies and have been used successfully in the process of validating the method of detecting the composition of commercial cheeses.
乳制品掺假分子检测方法研究
乳制品是人类营养的重要组成部分,因此容易掺假。虽然已经开发了许多基于蛋白质物质分析的方法来检测掺假,但在加工产品的情况下,它们的效率很低。在这种情况下,基于DNA分析的方法已成为最佳选择,尽管结果并非普遍有效,必须适应成分和局部特异性。本文介绍了一种快速和经济有效的基于dna的方法的适用性研究,该方法通过对当地乳制品进行定性三重PCR检测技术来确定乳制品的物种组成。该程序适用于国内市场,并考虑了国际上开发和明确定义的实验模型。在该方法的内部验证中,考虑了三种反刍动物:牛肉,绵羊和山羊。标准物质由我们实验室制作的严格控制百分比混合物的奶酪代表。从参考奶酪中分离的总基因组DNA用于建立三重PCR方法,该方法涉及使用三对引物的混合物同时检测所研究的三个物种。该标准物质被证明是此类研究的最佳选择,并已成功地用于验证检测商品奶酪成分的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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12
审稿时长
4 weeks
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