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先进的基于 DNA 和蛋白质的方法用于检测和研究食物过敏原。

Advanced DNA- and Protein-based Methods for the Detection and Investigation of Food Allergens.

机构信息

a International Iberian Nanotechnology Laboratory (INL) , Braga , Portugal.

b Department of Food Technology , Institute for Marine Research, Spanish National Research Council (CSIC) , Vigo , Spain.

出版信息

Crit Rev Food Sci Nutr. 2016 Nov 17;56(15):2511-2542. doi: 10.1080/10408398.2013.873767.

Abstract

Currently, food allergies are an important health concern worldwide. The presence of undeclared allergenic ingredients or the presence of traces of allergens due to contamination during food processing poses a great health risk to sensitized individuals. Therefore, reliable analytical methods are required to detect and identify allergenic ingredients in food products. The present review addresses the recent developments regarding the application of DNA- and protein-based methods for the detection of allergenic ingredients in foods. The fitness-for-purpose of reviewed methodology will be discussed, and future trends will be highlighted. Special attention will be given to the evaluation of the potential of newly developed and promising technologies that can improve the detection and identification of allergenic ingredients in foods, such as the use of biosensors and/or nanomaterials to improve detection limits, specificity, ease of use, or to reduce the time of analysis. Such rapid food allergen test methods are required to facilitate the reliable detection of allergenic ingredients by control laboratories, to give the food industry the means to easily determine whether its product has been subjected to cross-contamination and, simultaneously, to identify how and when this cross-contamination occurred.

摘要

目前,食物过敏是全球范围内一个重要的健康问题。未申报的过敏原成分的存在,或由于食品加工过程中的污染而存在痕量的过敏原,都会对致敏个体造成极大的健康风险。因此,需要可靠的分析方法来检测和识别食品中的过敏原成分。本综述介绍了 DNA 和基于蛋白质的方法在检测食品过敏原成分方面的最新进展。将讨论所审查方法的适用性,并突出未来的趋势。特别关注评估新开发的和有前途的技术的潜力,这些技术可以改善食品中过敏原成分的检测和识别,例如使用生物传感器和/或纳米材料来提高检测限、特异性、易用性,或缩短分析时间。这种快速的食物过敏原测试方法是控制实验室可靠检测过敏原成分所必需的,为食品行业提供了一种手段,使其能够轻松确定其产品是否受到交叉污染,同时识别交叉污染发生的方式和时间。

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