Assessment of fruit juice authenticity using UPLC-QToF MS: A metabolomics approach
Assessment of fruit juice authenticity using UPLC-QToF MS: A metabolomics approach
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DOI：
10.1016/j.foodchem.2013.10.014
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发表时间：
2014-04-01
期刊：
影响因子：
8.8
通讯作者：
Cannavan, A.
中科院分区：
文献类型：
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作者：
Jandric, Z.;Roberts, D.;Cannavan, A.
近年来，随着全球食品供应链和贸易的日益复杂，食品欺诈，包括用更便宜的替代品掺假高价值食品，已成为一个日益重要的问题。代谢组学方法可用于发现可用于追踪食品掺假的生物标志物。开展了一项研究，以发现新的、潜在的生物标志物，用于快速检测果汁掺假和廉价替代品。研究对象包括菠萝、橙子、葡萄柚、苹果、小柑橘和柚子。采用UPLC-QToF质谱进行非靶向代谢物指纹图谱，并进行多变量数据分析。选择了21种差异代谢物，对菠萝汁、橙汁和葡萄柚汁进行了分离，其掺假水平降至1%。然后优化了一种靶向代谢组学方法，掺假率为1%。结果表明，代谢组学有潜力作为一种快速检测食品掺假的筛选工具。(C) 2013 Elsevier Ltd.版权所有。
In recent years, with the growing complexity of global food supply chains and trade, food fraud, including adulteration of high value foods with cheaper substitutes, has become an increasingly important issue. A metabolomics approach can be applied to discover biomarkers that can be used to trace food adulteration. A study was undertaken to discover novel, potential biomarkers for the rapid detection of the adulteration of fruit juices with cheaper alternatives. Pineapple, orange, grapefruit, apple, clementine, and pomelo were investigated. Untargeted metabolite fingerprinting was performed by UPLC-QToF MS with multivariate data analysis. Twenty-one differential metabolites were selected, contributing to the separation between pineapple, orange and grapefruit juices, and their admixtures down to 1% adulteration level. A targeted metabolomics method was then optimised and adulteration could be detected at 1%. The results demonstrate that metabolomics has potential as a screening tool for the rapid detection of food adulteration. (C) 2013 Elsevier Ltd. All rights reserved.