Traceability of cowpea origin from southern China using stable isotopes and multi-elements

IF 4 Q2 FOOD SCIENCE & TECHNOLOGY
eFood Pub Date : 2024-08-28 DOI:10.1002/efd2.178
Jing Nie, Karyne M. Rogers, Xunfei Deng, Chunlin Li, Zhiwei Wang, Xiangyun Wang, Zhibo Huan, Hanyi Mei, Syed Abdul Wadood, Shengzhi Shao, Yongzhi Zhang, Mingyue Wang, Yuwei Yuan
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引用次数: 0

Abstract

Verification of cowpea geographical origin has become more critical in recent times to guarantee food safety and enhance government management of potentially hazardous pesticide farming practices. Cowpea samples harvested in five major southern provinces in China were characterized by stable isotopes (δ13C, δ15N, δ2H, δ18O) and elemental contents (Ca, K, Mg, Na, P, Cu, Fe, Mn, Ni, Zn, Mo, C, N) using inductively coupled plasma mass spectrometry. A combined isotope and elemental approach reflected regional elemental differences from China's eastern seaboard that are uptaken by cowpea from the environment. Results showed that many of the isotope and elemental variables differed significantly among production regions, with Cu, Zn, δ18O, P, K, δ13C, Mo, Ca, and Mg identified as the most important classification variables of projection (VIP > 1). Stable isotopes and elemental contents were representative of regional and local climate, soil geology, and fertilization practices, respectively. The cowpea elemental contents analyzed in this study were all within the expected guideline range for Asian vegetables and posed no health concerns to consumers. Two regional models and one local model based on supervised pattern recognition method of Partial Least Squares-Discriminant Analysis (PLS-DA) were developed, and the overall discrimination accuracies ranged from 78.0% to 99.2%. These chemometric models provide a useful method to verify Chinese cowpea origins and improve food safety controls for consumers.

Abstract Image

利用稳定同位素和多元素溯源中国南方豇豆产地
近年来,豇豆地理原产地的验证变得越来越重要,这不仅能保证食品安全,还能加强政府对潜在有害农药耕作方法的管理。采用电感耦合等离子体质谱法对中国南方五大省收获的豇豆样品进行了稳定同位素(δ13C、δ15N、δ2H、δ18O)和元素含量(Ca、K、Mg、Na、P、Cu、Fe、Mn、Ni、Zn、Mo、C、N)表征。同位素和元素相结合的方法反映了豇豆从环境中吸收的中国东部沿海地区元素差异。结果表明,许多同位素和元素变量在不同产区之间存在显著差异,其中Cu、Zn、δ18O、P、K、δ13C、Mo、Ca和Mg被确定为最重要的预测分类变量(VIP >1)。稳定同位素和元素含量分别代表了地区和当地的气候、土壤地质和施肥方法。本研究分析的豇豆元素含量均在亚洲蔬菜的预期指导范围内,不会对消费者的健康造成影响。基于偏最小二乘判别分析(PLS-DA)的监督模式识别方法,建立了两个区域模型和一个局部模型,总体判别准确率在 78.0% 至 99.2% 之间。这些化学计量模型为验证中国豇豆产地和改善消费者食品安全控制提供了有用的方法。
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来源期刊
eFood
eFood food research-
CiteScore
6.00
自引率
0.00%
发文量
44
期刊介绍: eFood is the official journal of the International Association of Dietetic Nutrition and Safety (IADNS) which eFood aims to cover all aspects of food science and technology. The journal’s mission is to advance and disseminate knowledge of food science, and to promote and foster research into the chemistry, nutrition and safety of food worldwide, by supporting open dissemination and lively discourse about a wide range of the most important topics in global food and health. The Editors welcome original research articles, comprehensive reviews, mini review, highlights, news, short reports, perspectives and correspondences on both experimental work and policy management in relation to food chemistry, nutrition, food health and safety, etc. Research areas covered in the journal include, but are not limited to, the following: ● Food chemistry ● Nutrition ● Food safety ● Food and health ● Food technology and sustainability ● Food processing ● Sensory and consumer science ● Food microbiology ● Food toxicology ● Food packaging ● Food security ● Healthy foods ● Super foods ● Food science (general)
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