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野味产品真实性检测—实时 PCR 检测和定量检测狍(Dama dama)、马鹿(Cervus elaphus)和梅花鹿(Cervus nippon)掺杂的单一方法。

Authenticity control of game meat products--a single method to detect and quantify adulteration of fallow deer (Dama dama), red deer (Cervus elaphus) and sika deer (Cervus nippon) by real-time PCR.

机构信息

Austrian Agency for Health and Food Safety, Institute for Food Safety, Department of Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria; Department of Analytical Chemistry, University of Vienna, Währinger Straße 38, 1090 Vienna, Austria.

Austrian Agency for Health and Food Safety, Institute for Food Safety, Department of Molecular Biology and Microbiology, Spargelfeldstraße 191, 1220 Vienna, Austria.

出版信息

Food Chem. 2015 Mar 1;170:508-17. doi: 10.1016/j.foodchem.2014.08.048. Epub 2014 Aug 20.

Abstract

This contribution presents a single real-time PCR assay allowing the determination of the deer content (the sum of fallow deer (Dama dama), red deer (Cervus elaphus) and sika deer (Cervus nippon)) in meat products to detect food adulteration. The PCR assay does not show cross-reactivity with 20 animal species and 43 botanical species potentially contained in game meat products. The limit of quantification is 0.5% for fallow deer and red deer and 0.1% for sika deer. The deer content in meat products is determined by relating the concentration obtained with the deer PCR assay to that obtained with a reference system which amplifies mammals and poultry DNA. The analysis of binary meat mixtures with pork, a meat mixture containing equal amounts of fallow deer, red deer and sika deer in pork and a model game sausage showed that the quantification approach is very accurate (systematic error generally <25%).

摘要

本研究介绍了一种实时 PCR 检测方法,可用于确定肉类产品中的鹿含量(赤鹿(Cervus elaphus)、马鹿(Dama dama)和梅花鹿(Cervus nippon)的总和),以检测食品掺假。该 PCR 检测方法与 20 种动物物种和 43 种潜在存在于野味肉类产品中的植物物种无交叉反应。对于赤鹿和马鹿,定量限为 0.5%;对于梅花鹿,定量限为 0.1%。通过将从鹿 PCR 检测中获得的浓度与扩增哺乳动物和家禽 DNA 的参考系统获得的浓度相关联,来确定肉类产品中的鹿含量。对猪肉中的二元肉混合物、猪肉中含有等量赤鹿、马鹿和梅花鹿的肉混合物以及模型野味香肠的分析表明,定量方法非常准确(系统误差通常<25%)。

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