摘要
牦牛肉是来自青藏高原天然牧场的绿色畜产品,其产地溯源对于牦牛产业的发展极其重要。为探讨矿物质元素指纹技术在牦牛肉产地溯源上的应用,本研究采用电感耦合等离子体(ICP-MS)分析了4个地域40个牦牛肉样品中50多种矿物质的含量,使用多元统计分析方法确定最相关的溯源指标,通过显著性分析(P<0.05),选择8种元素(Na、Fe、As、Se、Mo、Cd、Cs和Ti)用于进一步分析,最终选择3种矿物质元素(Cd、Cs、Ti)建立牦牛肉可追溯性的判别模型。经线性判别分析得出的整体正确分类率为70%,交叉验证率为67.50%,表明将矿物质多元素指纹作为鉴定牦牛肉地理起源的指标是可行的。
Yak meat is“green”product from natural extensive rangeland on Qinghai-Tibetan plateau.A trace technique is essential for the development of the yak industry.In order to explore the application of mineral fingerprint technology to classify yak meat according to geographical origin,the concentration of more than 50 mineral contents in 40 yak meat samples from four regions were analyzed by Inductively coupled plasma mass spectrometry in this study.Multivariate statistical analyses were used to identify the most relevant indicators of origin.Eight elements(Na,Fe,As,Se,Mo,Cd,Cs and Ti)were selected for further routine analyses based on the significant origin differences(P<0.05).The three minerals(Cd,Cs,Ti)were selected by statistics analysis and established discriminant model for yak meat traceability.Linear discriminate analysis gave an overall correct classification rate of 70%and cross-validation rate of 67.50%.These results demonstrate the usefulness of multi-element fingerprints as indicators for authenticating the geographical origin of yak meat.
作者
项洋
XIANG Yang(Academy of Animal and Veterinary Science,Qinghai University,Xining 810016,China)
出处
《青海畜牧兽医杂志》
2022年第6期12-17,59,共7页
Chinese Qinghai Journal of Animal and Veterinary Sciences
基金
省部共建三江源生态与高原农牧业国家重点实验室开放基金项目(2021-KF-07)。
关键词
牦牛肉
溯源
矿物元素
多元统计
Yak meat
Mineral elements
Geographical origin
Multivariate statistics
