王柏辉,刘婷,杨晨辉,桑爽,柳沙,王海玉,薛彦伦,郭佳.基于矿物元素和稳定同位素指纹分析的阿尔巴斯羊肉产地溯源[J].食品安全质量检测学报,2024,15(16):278-283
基于矿物元素和稳定同位素指纹分析的阿尔巴斯羊肉产地溯源
Origin Traceability of Albas mutton based on Mineral Element and stable isotope fingerprinting
投稿时间:2024-03-16  修订日期:2024-06-03
DOI:
中文关键词:  阿尔巴斯羊肉  产地溯源  矿物质元素  稳定同位素  地方特色
英文关键词:Albas mutton  Origin tracing  Mineral elements  Stable isotopes  Local characteristics
基金项目:鄂尔多斯市科技计划项目(2021YY农128-38)
作者单位
王柏辉 鄂尔多斯市检验检测中心 
刘婷 内蒙古农业大学食品科学与工程学院 
杨晨辉 鄂尔多斯市检验检测中心 
桑爽 内蒙古自治区产品质量研究院 
柳沙 内蒙古自治区产品质量研究院 
王海玉 内蒙古自治区产品质量研究院 
薛彦伦 鄂尔多斯市检验检测中心 
郭佳 鄂尔多斯市检验检测中心 
AuthorInstitution
WANG Bo-Hui Inspection and Testing Center of Ordos 
LIU Ting College of Food Science and Engineering,Inner Mongolia Agricultural University 
YANG Chen-Hui Inspection and Testing Center of Ordos 
SANG Shuang Inner Mongolia Autonomous Region Product Quality Research Institute 
LIU Sha Inner Mongolia Autonomous Region Product Quality Research Institute 
WANG Hai-Yu Inner Mongolia Autonomous Region Product Quality Research Institute 
XUE Yan-Lun Inspection and Testing Center of Ordos 
GUO Jia Inspection and Testing Center of Ordos 
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中文摘要:
      目的 分析鄂尔多斯市不同地区阿尔巴斯羊肉中矿物元素的差异,构建阿尔巴斯羊肉产地鉴别的判别模型。方法 应用电感耦合等离子体质谱法(inductively coupled plasma mass spectrometry, ICP-MS)分析鄂尔多斯市3个地区(鄂托克旗、准格尔旗和达拉特旗)93个绒山羊羊肉中19种矿物元素的含量,结合化学计量学方法(单因素方差分析、主成分分析和Fisher判别分析),探索矿物元素指纹分析对阿尔巴斯羊肉产地溯源的可行性。结果 阿尔巴斯羊肉中Ca、Se和V含量显著高于准旗羊肉和达旗羊肉(P<0.05),阿尔巴斯羊肉中δ13C含量集中分布在-15‰~-16‰,δ1?N含量集中分布在4‰~6‰。筛选Ca、Fe、K、Mg、Se、Ti和V 7种矿物元素为特征指标建立阿尔巴斯羊肉产地溯源模型,回代检验和交叉验证的阿尔巴斯羊肉产地判别正确率分别为93.9%和91.8%。结论 该模型用于阿尔巴斯羊肉产地溯源分析具有切实可行性和准确性。
英文摘要:
      Objective To analyze the difference of mineral element content in Albas mutton from different areas in Ordos city, and construct discrimination model for the identification of Albas mutton. Methods The content of 19 kinds of mineral elements in 93 samples from 3 regions (Etuoke Banner, Zhungeer Banner and Dalad Banner of Ordos City) have been determined and analyzed by inductively coupled plasma mass spectrometry (ICP-MS). Combining with the chemometrics (variance analysis, principal component analysis and discriminant analysis), the feasibility of tracing the origin of Albas mutton by analysis of mineral element fingerprints was investigated. Results The content of Ca, Se and V in Albas mutton were significantly higher than those in Zhungeer mutton and Dalad mutton (P<0.05). The δ13C content in Albas mutton was concentrated in -15‰ to -16‰, and the δ15N content was concentrated in 4‰ to 6‰. Ca, Fe, K, Mg, Se, Ti and V 7 kinds of mineral elements were selected as the characteristic indexes to establish the origin tracing model of Albas mutton. Conclusion The accuracy of back test and cross-verification of Albas mutton origin identification is 93.9% and 91.8%, respectively. The model construct achieves adequate classification accuracy, good sensitivities and acceptable specifities for detecting the fraud in the Albas mutton label.
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