Developing a MySQL database for the provenance of black tiger prawns (Penaeus monodon)
dc.contributor.author | Gopi, K | en_AU |
dc.contributor.author | Mazumder, D | en_AU |
dc.contributor.author | Crawford, J | en_AU |
dc.contributor.author | Gadd, PS | en_AU |
dc.contributor.author | Tadros, CV | en_AU |
dc.contributor.author | Atanacio, AJ | en_AU |
dc.contributor.author | Saintilan, N | en_AU |
dc.contributor.author | Sammut, J | en_AU |
dc.date.accessioned | 2024-12-06T00:00:31Z | en_AU |
dc.date.available | 2024-12-06T00:00:31Z | en_AU |
dc.date.issued | 2023-07-11 | en_AU |
dc.date.statistics | 2024-12-06 | en_AU |
dc.description.abstract | 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 (Penaeus monodon) 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 P. monodon. The models built using the data retrieved from the database demonstrated that the provenance of P. monodon 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. © 2023 The Authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/) | en_AU |
dc.description.sponsorship | This research is a part of the collaboration between Australian Nuclear Science and Technology Organisation (ANSTO), the University of New South Wales, Macquarie University, National Measurement Institute, and Sydney Fish Market (SFM). The nuclear analyses of samples were conducted at ANSTO labs, and the cost associated with these analyses were covered by ANSTO. This research was supported by an Australian Government Research Training Program Scholarship. This work was also supported by the Australian Institute of Nuclear Science and Engineering (AINSE)—Residential Student Scholarship. Prawn samples for this research were provided by SFM. | en_AU |
dc.format.medium | Electronic | en_AU |
dc.identifier.articlenumber | 2677 | en_AU |
dc.identifier.citation | Gopi K, Mazumder D, Crawford J, Gadd P, Tadros CV, Atanacio A, Saintilan N, Sammut J. Developing a MySQL database for the provenance of black tiger prawns (Penaeus monodon). Foods. 2023; 12(14):2677. doi:10.3390/foods12142677 | en_AU |
dc.identifier.issn | 2304-8158 | en_AU |
dc.identifier.issue | 14 | en_AU |
dc.identifier.journaltitle | Foods | en_AU |
dc.identifier.uri | http://dx.doi.org/10.3390/foods12142677 | en_AU |
dc.identifier.uri | https://apo.ansto.gov.au/handle/10238/15797 | en_AU |
dc.identifier.volume | 12 | en_AU |
dc.language | English | en_AU |
dc.language.iso | en | en_AU |
dc.publisher | MDPI | en_AU |
dc.subject | Data base management | en_AU |
dc.subject | Seafood | en_AU |
dc.subject | Food | en_AU |
dc.subject | Fish products | en_AU |
dc.subject | Fraud | en_AU |
dc.subject | Labelling | en_AU |
dc.subject | Product labeling | en_AU |
dc.subject | Data | en_AU |
dc.title | Developing a MySQL database for the provenance of black tiger prawns (Penaeus monodon) | en_AU |
dc.type | Journal Article | en_AU |
dcterms.dateAccepted | 2023-07-07 | en_AU |
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