Runhong Mo, Yuewen Zheng, Z. Ni, Danyu Shen, Yihua Liu
{"title":"核桃的植物化学成分及其基于化学标记的地理起源应用","authors":"Runhong Mo, Yuewen Zheng, Z. Ni, Danyu Shen, Yihua Liu","doi":"10.1093/fqsafe/fyac052","DOIUrl":null,"url":null,"abstract":"\n Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnut from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with the values of 0.17-1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V and stearic acid, with the contribution rates of 26.8%, 18.9% and 10.9%. This study provides a potentially viable method for application in the food authentication.","PeriodicalId":12427,"journal":{"name":"Food Quality and Safety","volume":" ","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The phytochemical components of walnuts and their application for geographical origin based on chemical markers\",\"authors\":\"Runhong Mo, Yuewen Zheng, Z. Ni, Danyu Shen, Yihua Liu\",\"doi\":\"10.1093/fqsafe/fyac052\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnut from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with the values of 0.17-1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V and stearic acid, with the contribution rates of 26.8%, 18.9% and 10.9%. This study provides a potentially viable method for application in the food authentication.\",\"PeriodicalId\":12427,\"journal\":{\"name\":\"Food Quality and Safety\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2022-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Food Quality and Safety\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1093/fqsafe/fyac052\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Quality and Safety","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1093/fqsafe/fyac052","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
The phytochemical components of walnuts and their application for geographical origin based on chemical markers
Place of origin has an important influence on walnut quality and commercial value, which results in the requirement of rapid geographical traceability method. Thus, a method for geographical origin identification of walnuts on the basis of nutritional quality of walnut from China was conducted. The concentrations of 43 phytochemical components were analyzed in walnut samples from five different walnut-producing regions of China. Based on 14 chemical markers selected by the Random Forest method from these phytochemical components, a new discriminant model for geographical origin was built, with the corresponding correct classification rate of 99.3%. In addition, the quantitative quality differences of walnuts from five regions were analyzed, with the values of 0.17-1.43. Moreover, the top three chemical markers for the geographical origin discriminant analysis were Mo, V and stearic acid, with the contribution rates of 26.8%, 18.9% and 10.9%. This study provides a potentially viable method for application in the food authentication.
期刊介绍:
Food quality and safety are the main targets of investigation in food production. Therefore, reliable paths to detect, identify, quantify, characterize and monitor quality and safety issues occurring in food are of great interest.
Food Quality and Safety is an open access, international, peer-reviewed journal providing a platform to highlight emerging and innovative science and technology in the agro-food field, publishing up-to-date research in the areas of food quality and safety, food nutrition and human health. It promotes food and health equity which will consequently promote public health and combat diseases.
The journal is an effective channel of communication between food scientists, nutritionists, public health professionals, food producers, food marketers, policy makers, governmental and non-governmental agencies, and others concerned with the food safety, nutrition and public health dimensions.
The journal accepts original research articles, review papers, technical reports, case studies, conference reports, and book reviews articles.