贾菲菲,王钢力,冯 芳,曹 进.基于脂肪酸指纹图谱的我国羊肉产地溯源研究[J].食品安全质量检测学报,2021,12(11):4638-4646
基于脂肪酸指纹图谱的我国羊肉产地溯源研究
Study on origin traceability of mutton in China based on fatty acid fingerprint
投稿时间:2021-02-05  修订日期:2021-06-19
DOI:
中文关键词:  脂肪酸指纹  羊肉  产地溯源
英文关键词:fatty acid fingerprint  mutton  origin traceability
基金项目:
作者单位
贾菲菲 中国药科大学药学院 
王钢力 中国食品药品检定研究院 
冯 芳 中国食品药品检定研究院 
曹 进 中国食品药品检定研究院 
AuthorInstitution
JIA Fei-Fei School of Pharmacy, China Pharmaceutical University 
WANG Gang-Li National Institutes for Food and Drug Control 
FENG Fang National Institutes for Food and Drug Control 
CAO Jin National Institutes for Food and Drug Control 
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中文摘要:
      目的 优化建立羊肉脂肪酸组成的测定方法, 并分析不同产地来源的羊肉中脂肪酸含量的差异。 方法 利用气相-氢火焰离子化技术(gas chromatography-flame ionization detection, GC-FID)测定来自内蒙古、新疆、山东和云南4个产区羊肉的脂肪酸组成, 结合主成分分析(principal component analysis, PCA)、聚类分析(hierarchical cluster analysis, HCA)和线性判别分析(linear discriminant analysis, LDA)等统计学方法进行数据分析。结果 最佳甲酯化条件为甲酯化试剂2 mL, 甲酯化反应温度40 ℃, 甲酯化反应时间30 min。19种脂肪酸精密度为1.07%~7.97%, 回收率为63.75%~120.00%。有14种脂肪酸在4个产区羊肉中有显著性差异, 分别是C10:0、C12:0、C14:0、C14:1、C17:0、C18:1n9t、C18:1n9c、C18:2n6c、C20:1、C18:3n3、C22:0、C20:4n6、C20:5n3和C22:6n3。筛选出C14:0、C14:1、C18:1n9t、C18:2n6c、C18:3n3、C22:0、C20:4n6和C20:5n3 8种脂肪酸作为羊肉产地来源的判别指标, 所建立的判别模型对样品的回代检验和交叉检验正确率分别为100%和88%, 4个产区的羊肉样品能够基本得到区分。结论 通过对羊肉中脂肪酸组成的测定和判别模型的建立, 可有效地对羊肉的主要产地进行区分, 为羊肉的产地溯源提供了有效的技术手段。
英文摘要:
      Objective To optimize and establish a method for determination of fatty acid composition in mutton, and analyze the difference of fatty acid content in mutton from different origins. Methods Fatty acid compositions of mutton from Inner Mongolia, Xinjiang, Shandong, and Yunnan were determined by gas phase-hydrogen flame ionization gas chromatography-flame ionization detection (GC-FID), and the data was analyzed by principal component analysis (PCA), cluster analysis hierarchical cluster analysis (HCA) and linear discriminant analysis (LDA). Results The optimal methyl esterification conditions were as follow: 2 mL methyl esterification reagent, 40 ℃ of reaction temperature, and 30 min of reaction time. The precisions of 19 kinds of fatty acids were 1.07%?7.97%, while the recoveries were 63.75%?120.00%. There were 14 kinds of fatty acids with significant differences in the mutton produced from the 4 producing areas, which were C10:0, C12:0, C14:0, C14:1, C17:0, C18:1n9t, C18:1n9c, C18:2n6c, C20:1, C18:3n3, C22:0, C20:4n6, C20:5n3 and C22:6n3. Then 8 kinds of fatty acids, C14:0, C14:1, C18:1n9t, C18:2n6c, C18:3n3, C22:0, C20:4n6 and C20:5n3 were selected as the discriminant indexes of mutton origin by step-by-step discriminant analysis. The accuracy rates of back generation inspection and cross test for samples established by the discriminant model were 100% and 88%, respectively. Mutton samples from 4 producing areas could be basically separated. Conclusion The determination of fatty acid composition in mutton and the establishment of the discriminant model can effectively distinguish the main producing areas of mutton, and provide an effective technical means for the origin traceability of mutton.
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