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
{"title":"利用稳定同位素和多元素溯源中国南方豇豆产地","authors":"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","doi":"10.1002/efd2.178","DOIUrl":null,"url":null,"abstract":"<p>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 (<i>δ</i><sup>13</sup>C, <i>δ</i><sup>15</sup>N, <i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O) 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, <i>δ</i><sup>18</sup>O, P, K, <i>δ</i><sup>13</sup>C, 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.</p>","PeriodicalId":11436,"journal":{"name":"eFood","volume":"5 5","pages":""},"PeriodicalIF":4.0000,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/efd2.178","citationCount":"0","resultStr":"{\"title\":\"Traceability of cowpea origin from southern China using stable isotopes and multi-elements\",\"authors\":\"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\",\"doi\":\"10.1002/efd2.178\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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 (<i>δ</i><sup>13</sup>C, <i>δ</i><sup>15</sup>N, <i>δ</i><sup>2</sup>H, <i>δ</i><sup>18</sup>O) 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, <i>δ</i><sup>18</sup>O, P, K, <i>δ</i><sup>13</sup>C, 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.</p>\",\"PeriodicalId\":11436,\"journal\":{\"name\":\"eFood\",\"volume\":\"5 5\",\"pages\":\"\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/efd2.178\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"eFood\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/efd2.178\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"eFood","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/efd2.178","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Traceability of cowpea origin from southern China using stable isotopes and multi-elements
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.
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)