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开发一种类似 DNA 条形码的方法来检测小麦粉中的芥菜过敏原。

Development of a DNA Barcoding-Like Approach to Detect Mustard Allergens in Wheat Flours.

机构信息

FEM2-Ambiente, Piazza della Scienza 2, I-20126 Milano, Italy.

BARILLA G. e R. FRATELLI Spa, Via Mantova, 166-43122 Parma, Italy.

出版信息

Genes (Basel). 2019 Mar 19;10(3):234. doi: 10.3390/genes10030234.

Abstract

The spread of food allergens is a topic of global importance due to its impact on public health. National and International regulations ask food producers and manufacturers to declare product compositions on the label, especially in case of processed raw materials. Wheat flour () can be contaminated by a wide range of species belonging to the Brassicaceae in the field or during grain harvests, storage, and processing. Among them, mustards (, and ) are well known allergenic species. Often, food quality laboratories adopt an ELISA approach to detect the presence of mustard species. However, this approach shows cross-reactivity with other non-allergenic species such as (rapeseed). In the last few years, DNA barcoding was proposed as a valid identification method, and it is now commonly used in the authentication of food products. This study aims to set up an easy and rapid DNA-based tool to detect mustard allergenic species. DNA barcoding ( and ITS2) and chromosome markers (A6, B, C1 genome regions) were selected, and specific primers were validated on incurred reference food matrices. The developed test was proven to be able to distinguish mustard from rapeseed and wheat, overcoming cross-reactivity with .

摘要

由于食物过敏原的传播会对公众健康造成影响,因此它是一个具有全球重要性的话题。国家和国际法规要求食品生产商和制造商在标签上声明产品成分,特别是在加工原料的情况下。在田间或在谷物收获、储存和加工过程中,小麦面粉可能会受到属于芸薹属的多种物种的污染。其中,芥菜(芥菜、辣根和山葵)是众所周知的致敏物种。通常,食品质量实验室采用 ELISA 方法来检测芥末物种的存在。然而,这种方法显示出与其他非致敏物种(如油菜籽)的交叉反应性。在过去的几年中,DNA 条形码被提议作为一种有效的鉴定方法,现在已广泛用于食品产品的认证。本研究旨在建立一种简单快速的基于 DNA 的工具来检测芥末过敏原物种。选择了 DNA 条形码(和 ITS2)和染色体标记(A6、B、C1 基因组区域),并在受污染的参考食品基质上验证了特定的引物。开发的测试被证明能够区分芥末和油菜籽以及小麦,克服了与芸薹属的交叉反应性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4394/6470546/707a3615aae5/genes-10-00234-g001.jpg

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