Geographical Traceability of Anguilla japonica from Different Habitats Successfully Achieved Using Muscle Elemental Fingerprint Analysis
Anguilla japonica is a catadromous fish, and the Yangtze River Estuary serves as a crucial passage for A. japonica migrating downstream to the sea. A large number of adult A. japonica appear on the market during the peak migration period. Due to the lack of effective discrimination basis, it is difficult to distinguish the source of samples in market supervision. Therefore, there is an urgent need to trace the origin of A. japonica from different water bodies. This study analyzed muscle elemental fingerprints of 21 elements to determine the geographical origin of A. japonica. The results showed that A. japonica from different habitats had distinct elemental compositions in their muscles. Specifically, A. japonica from estuary waters (EW) was characterized by significantly higher levels of V and Hg compared to other water bodies. Na was identified as a key discriminant element among different habitats, with its content significantly increasing in river waters (RW), EW, and offshore waters (OW), respectively. Discriminant analysis selected four discriminant elements (V, Hg, Na and Cu) from 21 elemental compositions, among which V, Hg, and Na were the three key distinguishing elements. Based on the composition of these four discriminant elements in the muscles of A. japonica from different habitats, hierarchical cluster analysis (HCA), orthogonal partial least squares discriminant analysis (OPLS-DA), and linear discriminant analysis (LDA) were applied and validated, successfully achieving rapid and accurate origin tracing and verification for new samples, achieving 100% classification accuracy. Therefore, the application of muscle EFA can achieve the geographical traceability of A. japonica from different habitats. The analytical method and verification process for origin tracing established in this study can be successfully applied to market supervision for tracing the origin of samples with unknown sources.
Authors
- SiKai Wang
- Chen Song (ORCID: https://orcid.org/0000-0001-9730-3216)
- Hong Tao
- Chengyao Yang
- Dongyu Song
- Feng Zhao
- Yijia Li
- Xiaorong Huang
Institutions
- Dalian Ocean University (CN)
- University of Shanghai for Science and Technology (CN)
- Zhejiang Ocean University (CN)
- Chinese Academy of Fishery Sciences (CN)
Publication Details
- Journal
- Fishes
- Published
- 2026-01-22
- DOI
- https://doi.org/10.3390/fishes11010068
- Primary Topic
- Isotope Analysis in Ecology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences