Elemental analysis of sea cucumber from five major production sites in China: A chemometric approach

文献类型： 外文期刊

第一作者： Kang, Xuming

作者： Kang, Xuming;Zhao, Yanfang;Shang, Derong;Zhai, Yuxiu;Ning, Jinsong;Sheng, Xiaofeng;Kang, Xuming;Zhao, Yanfang;Shang, Derong;Zhai, Yuxiu;Ning, Jinsong;Sheng, Xiaofeng

作者机构：

关键词： Sea cucumber; Multi-element analysis; Multivariate statistics; Geographical origin

期刊名称：FOOD CONTROL （ 影响因子：5.548； 五年影响因子：5.498 ）

ISSN： 0956-7135

年卷期： 2018 年 94 卷

页码：

收录情况： SCI

摘要： Geographic origin of sea cucumber is topic of interest for both consumers and producers since the prices of sea cucumber vary largely according to their geographic origins. It is currently important that a scientific technique should be developed for determining geographic origin as a mean to detect fraudulent labeling. We have therefore developed a technique to classify the geographic origin of sea cucumber based on elemental analysis combined with the statistical analysis. In this study, a total of 39 elements contents of sea cucumber from five major production regions in China were determined to evaluate their applicability in the origin traceability of sea cucumber. Pattern recognition techniques including principal component analysis (PCA) and linear discriminate analysis (LDA) were applied to evaluate their performance in terms of classification or predictive ability. Thirty six elements in sea cucumber samples of different regions showed significant differences (p < 0.05), which proved that the elemental composition was an effective tool for distinguishing different origins of sea cucumber. Classification of sea cucumber using PCA did not give satisfactory results. The LDA gave an overall correct classification rate of 94.1% and cross-validation rate of 88.2%. These results demonstrated the usefulness of multi-element fingerprints as indicators for authenticating the geographical origin of sea cucumber in China.

分类号：

  • 相关文献
作者其他论文 更多>>

微信小程序