Elemental analysis of wild Eriocheir sinensis: Determining the geographic origin and human health risk assessment

shuyan Bai, Shihui Wang, Dongli Qin, Lei Gao, Qirui Hao, Ningning Du, Peng Wang
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Abstract

Identification of composition characteristics of major and trace elements in wild mitten crabs (Eriocheir sinensis) from different water systems is important for protected geographical indication as well as food quality control and safety. In this study, inductively coupled plasma-mass spectrometry was employed to measure the contents of 23 elements in the muscle samples of wild Eriocheir sinensis from three water systems (Suifenhe, Nanliujiang, and Liaohe). The results of Kruskal–Wallis one-way ANOVA test comparisons revealed that most elements were significantly different in the samples collected from three water systems (P < 0.05). Geographic origin discrimination was achieved using principal component analysis in combination with hierarchical cluster analysis (HCA) and stepwise linear discriminant analysis (S-LDA). The HCA results showed the potential of eight characteristic elements for exploratory hierarchical clustering of the samples from three water systems; however, the clustering effect was unsatisfactory. The discrimination accuracy of S-LDA model for the samples from three water systems and that in cross-validation reached 100%. The health risk assessment further revealed that the normal level consumption of wild Eriocheir sinensis did not pose an appreciable health risk to consumers.
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野生中华鹤草的元素分析:确定地理来源和人类健康风险评估
鉴定不同水系野生中华绒螯蟹体内主要元素和微量元素的组成特征对地理标志保护和食品质量安全控制具有重要意义。本研究采用电感耦合等离子体质谱法测定了绥芬河、南流江和辽河三个水系野生中华绒螯蟹肌肉样品中23种元素的含量。Kruskal-Wallis单因素方差分析比较结果表明,三种水系采集的样品中大部分元素含量存在显著差异(P < 0.05)。利用主成分分析结合层次聚类分析(HCA)和逐步线性判别分析(S-LDA)实现了地理来源判别。HCA 结果表明,8 个特征元素具有对 3 个水系的样本进行探索性分层聚类的潜力,但聚类效果并不理想。S-LDA 模型对三个水系样本的判别准确率和交叉验证准确率均达到了 100%。健康风险评估进一步表明,正常食用野生中华鹅膏菌不会对消费者造成明显的健康风险。
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