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Elemental profiling of red seaweed Neopyropia yezoensis used in fast authenticating the geographical origin and food safety assessment

文献类型： 外文期刊

作者： Zhao, Yanfang 1 ; Wu, Jifa 2 ; Kang, Xuming 1 ; Guo, Yingying 1 ; Wang, Lianzhu 1 ; Sheng, Xiaofeng 1 ; Tan, Zhijun 1 ;

作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China

2.Gather Great Ocean Algae Ind Grp, Qingdao 266000, Peoples R China

3.State Key Lab Mariculture Biobreeding & Sustainabl, Qingdao 266071, Peoples R China

关键词： Food analysis; Food composition; Heavy metals; Traceability; Red seaweed

期刊名称：JOURNAL OF FOOD COMPOSITION AND ANALYSIS （ 影响因子：4.3； 五年影响因子：4.6 ）

ISSN： 0889-1575

年卷期： 2024 年 125 卷

页码：

收录情况： SCI

摘要： The red seaweed Neopyropia yezoensis is one of the predominant seaweeds cultivated and consumed in China. Its quality characteristics and economic value are closely influenced by the environmental conditions. So developing a fast method to trace the geographical origins of N. yezoensis is urgent because it concerns consumers knowing the origin of the product, nutritional value and safety. In present work, the elemental profiling in a total of 132 subsamples of N. yezoensis collected from five areas along the eastern and northern coast of China was established. Results showed that the content of K was the highest among the analyzed elements, and the Na/K ratio in N. yezoensis was 0.37. The consumption of N. yezoensis was confirmed to be a good source of essential dietary elements. However, high levels of Cd must attract consumers' attention, because about 20.5% of the samples was not compliant with the current European regulations. The influence of the geographical origin have a great difference on element profile. The linear discriminant analysis (LDA) with the stepwise method showed that the samples from Liaoning Province and Shandong Province could be well distinguished from those from Jiangsu Province. Based on the leave-one-out cross-validation method, the predictive ability was 80.3%, indicating a good performance of elemental fingerprints in fast authenticating of the origin of N. yezoensis in China. This discrimination made it possible to simultaneously characterize the samples according to their nutritional value and human consumption safety levels.

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