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利用元条形码技术和数字PCR检测及定量商品牛至中的植物性杂质()

Detection and Quantification of Botanical Impurities in Commercial Oregano () Using Metabarcoding and Digital PCR.

作者信息

Lievens Antoon, Paracchini Valentina, Garlant Linda, Pietretti Danilo, Maquet Alain, Ulberth Franz

机构信息

European Commission, Joint Research Centre (JRC), B-2440 Geel, Belgium.

European Commission, Joint Research Centre (JRC), I-21027 Ispra, Italy.

出版信息

Foods. 2023 Aug 9;12(16):2998. doi: 10.3390/foods12162998.

Abstract

DNA technology for food authentication is already well established, and with the advent of Next Generation Sequencing (NGS) and, more specifically, metabarcoding, compositional analysis of food at the molecular level has rapidly gained popularity. This has led to several reports in the media about the presence of foreign, non-declared species in several food commodities. As herbs and spices are attractive targets for fraudulent manipulation, a combination of digital PCR and metabarcoding by NGS was employed to check the purity of 285 oregano samples taken from the European market. By using novel primers and analytical approaches, it was possible to detect and quantify both adulterants and contaminants in these samples. The results highlight the high potential of NGS for compositional analysis, although its quantitative information (read count percentages) is unreliable, and other techniques are therefore needed to complement the sequencing information for assessing authenticity ('true to the name') of food ingredients.

摘要

用于食品认证的DNA技术已经相当成熟,随着下一代测序(NGS)的出现,更具体地说是宏条形码技术的出现,食品在分子水平上的成分分析迅速受到欢迎。这导致媒体上出现了几篇关于几种食品商品中存在外来的、未申报物种的报道。由于草药和香料是欺诈性操纵的诱人目标,因此采用数字PCR和NGS宏条形码技术相结合的方法,对从欧洲市场采集的285份牛至样品的纯度进行了检测。通过使用新型引物和分析方法,能够检测和定量这些样品中的掺假物和污染物。结果突出了NGS在成分分析方面的巨大潜力,尽管其定量信息(读数计数百分比)不可靠,因此需要其他技术来补充测序信息,以评估食品成分的真实性(名副其实)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc67/10453138/2862051eb75b/foods-12-02998-g001.jpg

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