Geographical origin traceability of Sengcu rice using elemental markers and multivariate analysis.

IF 2.5 3区农林科学 Q2 CHEMISTRY, APPLIED Food additives & contaminants. Part B, Surveillance Pub Date : 2022-09-01 Epub Date: 2022-06-19 DOI:10.1080/19393210.2022.2070932

Minh Quang Bui, Thuy Cam Quan, Quang Trung Nguyen, Thanh-Thien Tran-Lam, Yen Hai Dao

引用次数: 3

Abstract

Multi-element analysis combined with chemometric method has been used to investigate the distinguish between Sengcu rice and other types of rice origins in Vietnam. In Sengcu rice, As, Ba Sr, Pb, Ca, Se were confirmed as the key elements for geographical traceability among three fields of Lao Cai, whereas Al, Ca, Fe, Mg, Ag, As were major factors to distinguish between Sengcu and other types of rice. Based on linear discriminant analysis and partial least squares-discriminant analysis model, overall correct identification rates distinguishing between Sengcu and other types of rice were approximately 100% in both training and validation test. Moreover, to distinguish geographical origin of Sengcu rice samples, these rates vary from 80% to 99%. These results suggest the presence of food adulteration illustrated in the latter.

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基于元素标记和多变量分析的成古稻地理来源溯源。

采用多元素分析和化学计量学相结合的方法，研究了成古稻与越南其他水稻品种的区别。在圣古稻中，As、Ba、Sr、Pb、Ca、Se是确定老蔡3块田地理可追溯性的关键元素，而Al、Ca、Fe、Mg、Ag、As是区分圣古稻与其他水稻类型的主要因素。基于线性判别分析和偏最小二乘判别分析模型，在训练和验证试验中，对生谷与其他水稻品种的总体正确率均接近100%。此外，为了区分圣古大米样品的地理来源，这些比率从80%到99%不等。这些结果表明，食品掺假的存在说明了后者。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Food additives & contaminants. Part B, Surveillance 农林科学-毒理学

CiteScore

5.30

自引率

10.30%

发文量

审稿时长

2.7 months

期刊介绍： Food Additives & Contaminants: Part B publishes surveillance data indicating the presence and levels of occurrence of designated food additives, residues and contaminants in foods, food supplements and animal feed. Data using validated methods must meet stipulated quality standards to be acceptable and must be presented in a prescribed format for subsequent data-handling. Food Additives & Contaminants: Part B restricts its scope to include certain classes of food additives, residues and contaminants. This is based on a goal of covering those areas where there is a need to record surveillance data for the purposes of exposure and risk assessment. The scope is initially restricted to: Additives - food colours, artificial sweeteners, and preservatives; Residues – veterinary drug and pesticide residues; Contaminants – metals, mycotoxins, phycotoxins, plant toxins, nitrate/nitrite, PCDDs/PCFDs, PCBs, PAHs, acrylamide, 3-MPCD and contaminants derived from food packaging. Readership: The readership includes scientists involved in all aspects of food safety and quality and particularly those involved in monitoring human exposure to chemicals from the diet. Papers reporting surveillance data in areas other than the above should be submitted to Part A . The scope of Part B will be expanded from time-to-time to ensure inclusion of new areas of concern.

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