食品科学 ›› 2022, Vol. 43 ›› Issue (10): 322-328.doi: 10.7506/spkx1002-6630-20210615-167

• 安全检测 • 上一篇    下一篇

基于ICP-MS的滩羊骨骼矿质元素溯源指纹图谱

王雪蓉,罗瑞明,李亚蕾,马梦斌   

  1. (宁夏大学食品与葡萄酒学院,宁夏 银川 750021)
  • 出版日期:2022-05-25 发布日期:2022-05-27
  • 基金资助:
    宁夏回族自治区重点研发计划项目(2017BY068)

Fingerprinting of Bone Mineral Elements by Inductively Coupled Plasma-Mass Spectrometry for Geographical Traceability of Tan Sheep

WANG Xuerong, LUO Ruiming, LI Yalei, MA Mengbin   

  1. (School of Food and Wine, Ningxia University, Yinchuan 750021, China)
  • Online:2022-05-25 Published:2022-05-27

摘要: 采用电感耦合等离子质谱仪对内蒙古鄂托克前旗、宁夏盐池县、甘肃环县和陕西定边县滩羊骨骼中25 种(Ag、Ba、Be、Ca、Cd、Cu、Co、Cr、Cs、K、Fe、Mg、Mn、Mo、Na、Ni、P、Rb、Sb、Se、Sn、Sr、Te、V、Zn)矿质元素含量进行测定,结果表明,不同产地滩羊骨骼的组成元素各具分布特征,且相同矿质元素在不同产地间也差异显著。进一步通过主成分分析、聚类分析等多元统计分析方法,构建得到滩羊骨骼矿质元素指纹图谱为Ca、Cd、Cs、Mg、Mn、Na、P、Rb、Te、Zn,回代检验和交叉检验的整体正确判别率分别为87.50%、86.87%,说明筛选用作滩羊骨骼产地鉴别的10 种矿质元素有效,且利用该10 种元素建立的判别模型亦有效。

关键词: 矿质元素;多元统计分析;指纹图谱

Abstract: In this study, the contents of 25 mineral elements in Tan sheep bone samples from Etuokeqian banner of Inner Mongolia autonomous region, Yanchi county of Ningxia autonomous region, Huan county of Gansu province and Dingbian county of Shaanxi province were determined by inductively coupled plasma-mass spectrometry (ICP-MS). The results showed that the distribution characteristics of bone mineral elements in Tan sheep from different regions were different, and the contents of some mineral elements were significantly different among different geographical origins. In addition, through principal component analysis (PCA), cluster analysis (CA), Ca, Cd, Cd, Mg, Mn, Na, P, Rb, Te, and Zn were selected to develop a fingerprint for tracing the geographical origin of Tan sheep. The overall accuracy rates of back substitution test and cross-validation were 87.50% and 86.87%, respectively. The results showed that the 10 mineral elements were effective for identification of the regional origin of Tan sheep bones, and the discriminant model established by using the 10 elements was also effective.

Key words: mineral element; multivariate statistical analysis; fingerprint

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