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

机译:中国五大生产基地海参的元素分析:化学计量方法

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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.
机译:海参的地理起源是消费者和生产者的兴趣主题,因为海参的价格主要根据他们的地理起源而变化。目前重要的是,应开发科学技术,以确定地理来源作为检测欺诈性标签的平均值。因此,我们制定了一种基于元素分析与统计分析相结合的基于元素分析对海参的地理起源进行分类的技术。在本研究中,来自中国五大生产区的海参39个元素含量,决定评估其在海参的起源可追溯性中的适用性。应用包括主成分分析(PCA)和线性区分分析(LDA)的模式识别技术,以评估它们在分类或预测能力方面的性能。在不同地区的海参样品中三十六个元素显示出显着的差异(P& 0.05),这证明了元素组合物是区分海参的不同起源的有效工具。使用PCA的海参分类并没有给出满意的结果。 LDA总体正确的分类率为94.1%,交叉验证率为88.2%。这些结果证明了多元素指纹作为用于验证中国海参的地理起源的指标的有用性。

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