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脂肪酸图谱和脂肪酸 δC 指纹分析联合应用于扇贝(虾夷扇贝、海湾扇贝和栉孔扇贝)的产地溯源。

Combined use of fatty acid profile and fatty acid δC fingerprinting for origin traceability of scallops (Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians).

机构信息

School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.

College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China.

出版信息

Food Chem. 2019 Nov 15;298:124966. doi: 10.1016/j.foodchem.2019.124966. Epub 2019 Jun 10.

Abstract

The aim of this study was to evaluate the combination of fatty acid profile and fatty acid δC fingerprinting to identify the origins of scallops. Fatty acid contents, as well as fatty acid δC values of 300 samples of three scallop species (Patinopecten yessoensis, Chlamys farreri, and Argopecten irradians) from seven sites in China were determined. Principal component analysis was performed on datasets to evaluate their performance of classification. Moreover, 75 samples were tested by discrimination analysis to estimate the accuracy of origin prediction. The results show that the accuracy rate of fatty acid profile and fatty acid δC fingerprinting for origin prediction was 92% and 85.3%, respectively. The combination of these two methods improved the identification, with an accuracy rate of 100.0%. These results indicate that the combination of fatty acid profile and fatty acid δC fingerprinting can be a precise and promising tool for origin traceability of scallops.

摘要

本研究旨在评估脂肪酸图谱和脂肪酸 δC 指纹图谱相结合的方法,以识别扇贝的产地。测定了来自中国 7 个地点的 300 个三种扇贝(虾夷扇贝、海湾扇贝和栉孔扇贝)样本的脂肪酸含量和脂肪酸 δC 值。对数据集进行主成分分析,以评估其分类性能。此外,通过判别分析测试了 75 个样本,以估计产地预测的准确性。结果表明,脂肪酸图谱和脂肪酸 δC 指纹图谱用于产地预测的准确率分别为 92%和 85.3%。这两种方法的结合提高了识别率,准确率达到 100.0%。这些结果表明,脂肪酸图谱和脂肪酸 δC 指纹图谱的结合可以成为扇贝产地溯源的一种精确而有前途的工具。

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