Gopi Karthik, Mazumder Debashish, Crawford Jagoda, Gadd Patricia, Tadros Carol V, Atanacio Armand, Saintilan Neil, Sammut Jesmond
Centre for Ecosystem Science, The School of Biological, Earth and Environmental Sciences, The University of New South Wales, Sydney, NSW 2052, Australia.
University Centre for Rural Health, Sydney School of Public Health, The University of Sydney, Sydney, NSW 2052, Australia.
Foods. 2023 Jul 11;12(14):2677. doi: 10.3390/foods12142677.
As the demand for seafood increases, so does the incidence of seafood fraud. Confirming provenance of seafood is important to combat fraudulent labelling but requires a database that contains the isotopic and elemental "fingerprints" of authentic seafood samples. Local isotopic and elemental databases can be scaled up or combined with other databases to increase the spatial and species coverage to create a larger database. This study showcases the use of isotopic and elemental fingerprints of the black tiger prawn () to develop a database that can be used to securely store the data necessary for determining provenance. The utility of this database was tested through querying and building seven different datasets that were used to develop models to determine the provenance of . The models built using the data retrieved from the database demonstrated that the provenance of could be determined with >80% accuracy. As the database was developed using MySQL, it can be scaled up to include additional regions, species, or methodologies depending on the needs of the users. Combining the database with methods of determining provenance will provide regulatory bodies and the seafood industry with another provenance tool to combat fraudulent seafood labelling.
随着对海鲜需求的增加，海鲜欺诈事件的发生率也在上升。确认海鲜的来源对于打击欺诈性标签至关重要，但需要一个包含真实海鲜样本的同位素和元素“指纹”的数据库。本地同位素和元素数据库可以扩大规模或与其他数据库合并，以增加空间和物种覆盖范围，从而创建一个更大的数据库。本研究展示了利用黑虎虾的同位素和元素指纹来开发一个数据库，该数据库可用于安全存储确定来源所需的数据。通过查询和构建七个不同的数据集来测试该数据库的实用性，这些数据集用于开发模型以确定黑虎虾的来源。使用从数据库中检索到的数据构建的模型表明，黑虎虾的来源可以以超过80%的准确率确定。由于该数据库是使用MySQL开发的，因此可以根据用户需求扩大规模，以纳入更多地区、物种或方法。将该数据库与确定来源的方法相结合，将为监管机构和海鲜行业提供另一种打击欺诈性海鲜标签的来源工具。
