Wanli Zong, Shanshan Zhao, Yalan Li, Xiaoting Yang, Mengjie Qie, Ping Zhang, Yan Zhao
{"title":"Quality control and origin traceability of Tibetan yak meat using mid-infrared spectroscopy combined with multivariate analysis and machine learning","authors":"Wanli Zong, Shanshan Zhao, Yalan Li, Xiaoting Yang, Mengjie Qie, Ping Zhang, Yan Zhao","doi":"10.1007/s00003-025-01565-5","DOIUrl":null,"url":null,"abstract":"<div><p>Yak meat from different geographical origins exhibits distinct quality traits. Accurate identification of its origin is essential for protecting consumer rights and promoting the sustainable development of the yak industry. This study aimed to trace the origin of Tibetan yak meat using mid-infrared spectroscopy combined with multivariate analysis and machine-learning methods. The training set and test set achieved high accuracy using the back propagation neural network (100% and 95%, respectively), and 99% and 95%, respectively, using the Fisher discriminant analysis. Compared to methods that involve expensive instruments and complex operations, this approach offers a rapid, cost-effective and reliable solution.</p></div>","PeriodicalId":622,"journal":{"name":"Journal of Consumer Protection and Food Safety","volume":"20 3","pages":"235 - 244"},"PeriodicalIF":1.7000,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Consumer Protection and Food Safety","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s00003-025-01565-5","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Quality control and origin traceability of Tibetan yak meat using mid-infrared spectroscopy combined with multivariate analysis and machine learning
Yak meat from different geographical origins exhibits distinct quality traits. Accurate identification of its origin is essential for protecting consumer rights and promoting the sustainable development of the yak industry. This study aimed to trace the origin of Tibetan yak meat using mid-infrared spectroscopy combined with multivariate analysis and machine-learning methods. The training set and test set achieved high accuracy using the back propagation neural network (100% and 95%, respectively), and 99% and 95%, respectively, using the Fisher discriminant analysis. Compared to methods that involve expensive instruments and complex operations, this approach offers a rapid, cost-effective and reliable solution.
期刊介绍:
The JCF publishes peer-reviewed original Research Articles and Opinions that are of direct importance to Food and Feed Safety. This includes Food Packaging, Consumer Products as well as Plant Protection Products, Food Microbiology, Veterinary Drugs, Animal Welfare and Genetic Engineering.
All peer-reviewed articles that are published should be devoted to improve Consumer Health Protection. Reviews and discussions are welcomed that address legal and/or regulatory decisions with respect to risk assessment and management of Food and Feed Safety issues on a scientific basis. It addresses an international readership of scientists, risk assessors and managers, and other professionals active in the field of Food and Feed Safety and Consumer Health Protection.
Manuscripts – preferably written in English but also in German – are published as Research Articles, Reviews, Methods and Short Communications and should cover aspects including, but not limited to:
· Factors influencing Food and Feed Safety
· Factors influencing Consumer Health Protection
· Factors influencing Consumer Behavior
· Exposure science related to Risk Assessment and Risk Management
· Regulatory aspects related to Food and Feed Safety, Food Packaging, Consumer Products, Plant Protection Products, Food Microbiology, Veterinary Drugs, Animal Welfare and Genetic Engineering
· Analytical methods and method validation related to food control and food processing.
The JCF also presents important News, as well as Announcements and Reports about administrative surveillance.