食品与发酵工业 >

2024 , Vol. 50 >Issue 22: 204 - 213

DOI: https://doi.org/10.13995/j.cnki.11-1802/ts.039213

研究报告

基于元素组学的黔北麻羊羊腿肉的产地溯源可行性研究

  • 张孝红 ,
  • 袁付明 ,
  • 周绍均 ,
  • 况晓宇 ,
  • 方鑫碧 ,
  • 何艳梅 ,
  • 邓勇 ,
  • 张建永
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  • 1(遵义医科大学 药学院,贵州 遵义,563000)
    2(遵义市产品质量检验检测院,贵州 遵义,563000)
第一作者:硕士研究生(张建永教授为通信作者,E-mail:zhangjianyong2006@126.com)

收稿日期: 2024-03-13

  修回日期: 2024-05-22

  网络出版日期: 2024-12-17

基金资助

贵州省科技厅项目(黔科合支撑[2022]一般090)

收起

Feasibility discrimination traceability of leg meat origin in Qianbei brown goat based on elementomic

  • ZHANG Xiaohong ,
  • YUAN Fuming ,
  • ZHOU Shaojun ,
  • KUANG Xiaoyu ,
  • FANG Xinbi ,
  • HE Yanmei ,
  • DENG Yong ,
  • ZHANG Jianyong
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  • 1(College of Pharmacy, Zunyi Medical University, Zunyi 563000, China)
    2(Zunyi product quality inspection and Testing Institute, Zunyi 563000, China)

Received date: 2024-03-13

  Revised date: 2024-05-22

  Online published: 2024-12-17

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摘要

基于元素组学分析黔北麻羊羊腿肉中的元素组成及含量,并与我国四大羊肉主产区对比分析,结合化学计量法进行产地溯源可行性研究。收集我国贵州、内蒙古、宁夏、新疆和甘肃5个产区的羊前腿肉共65份,采用微波消解法预处理后,通过电感耦合等离子体质谱法和电感耦合等离子体发射光谱法检测羊腿肉中17种元素的含量,结合单因素方差分析、主成分分析和正交偏最小二乘法判别分析对黔北麻羊进行产地区分,基于差异元素建立黔北麻羊产地判别模型。黔北麻羊与其余4个产区之间存在8种差异元素Mg、Al、K、Fe、P、Rb、Cr、Sn,建立了Fisher判别模型,对黔北麻羊的判别正确率为95%,采用“留一法”交叉验证对黔北麻羊的判别正确率为95%。通过8种差异元素建立的判别模型对黔北麻羊进行有效区分,元素组学可为黔北麻羊溯源分析提供新的参考。

关键词： 羊肉; 元素组学; 黔北麻羊; 产地溯源; 化学计量法

本文引用格式

张孝红 , 袁付明 , 周绍均 , 况晓宇 , 方鑫碧 , 何艳梅 , 邓勇 , 张建永 . 基于元素组学的黔北麻羊羊腿肉的产地溯源可行性研究[J]. 食品与发酵工业, 2024 , 50(22) : 204 -213 . DOI: 10.13995/j.cnki.11-1802/ts.039213

Abstract

This study aimed to conduct a feasibility analysis on the traceability in the leg meat of Qianbei brown goat origin using elementomic, and compared with four major mutton-producing regions in China based on multi-element determined through stoichiometric methods.In total 65 foreleg cases of lamb were collected from Guizhou, Inner Mongolia, Ningxia, Xinjiang, and Gansu.The contents of 17 mineral elements were determined by inductively coupled plasma mass spectrometry (ICP-MS) and inductively coupled plasma-optical emission spectrometer (ICP-OES) after the mutton samples were pretreated by microwave digestion procedure.Combined with analysis of variance (ANOVA), principal component analysis (PCA), and orthogonal partial least squares discriminant (OPLS-DA), the Qianbei brown goat origins were distinguished.The discriminant model of mutton origin was established based on different elements.8 kinds of elements (Mg, Al, K, Fe, P, Rb, Cr, and Sn) in mutton were selected had significant differences between Guizhou Qianbei brown goat and four main mutton producing areas in China with OPLS-DA model.The Fisher discriminant function was established, and the cross-discrimination accuracy of samples in areas was 95.0%.The results showed that the 8 elements were feasible for the identification of the region Qianbei brown goat, thus providing a reference for traceability analysis.

Key words： mutton; elementomics; Qianbei brow goat; geographical origin; chemometrics method

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