Non-Targeted Identification of Brine Covered Canned Tuna Species Using Front-Face Fluorescence Spectroscopy Combined with Chemometric Tools
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The most common frauds of tuna cans supply chain concern the substitution or mixing of valuable tuna species with cheaper ones, which is strictly forbidden. The objective of the present study was to determine the potential use of front-face fluorescence spectroscopy (FFFS) as a rapid tool to authenticate species in canned tuna: skipjack tuna (Katsuwonus pelamis), yellowfin tuna (Thunnus albacares), Albacore tuna (Thunnus alalunga), and bigeye tuna (Thunnus obesus). Different spectra (tryptophan residues, aromatic amino acids, and nucleic acids (AAA + NA), riboflavin, nicotinamide adenine dinucleotide (NADH), and vitamin A) were recorded on 256 canned tunas, produced at the pilot scale, that were used for the establishment of models. The robustness of the established models was tested on 40 commercial canned tunas. According to the label tunas, the percentage of correct classification reached 75% allowing us to conclude that FFFS may represent a promising tool to be used by both canning industry and governmental control agencies to ascertain correct labeling of canned tuna.
KeywordsFluorescence Identification Bigeye tuna (Thunnus obesus) Yellowfin tuna (Thunnus albacares) Skipjack tuna (Katsuwonus pelamis) Albacore tuna (Thunnus alalunga)
This study is a part of the IDThon project supported by the French Region of Hauts-de-France and Bpi France. The authors received financial support from the Hauts-de-France Council. This work has been carried out in the framework of the ALIBIOTECH project, which is financed by the European Union, the French State, and the French Region of Hauts-de-France.
Compliance with Ethical Standards
Conflict of Interest
Ferdaous Boughattas declares that she has no conflict of interest. Bruno Le Fur declares that he has no conflict of interest. Romdhane Karoui declares that he has no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
- Bojolly D, Doyen P, Le Fur B et al (2017) Development of a qPCR method for the identification and quantification of two closely related tuna species, bigeye tuna (Thunnus obesus) and yellowfin tuna (Thunnus albacares) in canned tuna. J Agric Food Chem:241–243. https://doi.org/10.1021/acs.jafc.6b04713
- Collette BB, Nauen CE (1983) Fao species catalogue. FAO Fish Synop 2Google Scholar
- Etienne M (1998) Méthodes d’évaluation de la qualité. Rech Mar no 18:6–11Google Scholar
- Karoui R, Dufour É, Pillonel L et al (2004) Determining the geographic origin of Emmental cheeses produced during winter and summer using a technique based on the concatenation of MIR and fluorescence spectroscopic data. Eur Food Res Technol 219:184–189. https://doi.org/10.1007/s00217-004-0936-z CrossRefGoogle Scholar
- Karoui R, Mouazen AM, Ramon H, Schoonheydt R, Baerdemaeker JD (2006c) Feasibility study of discriminating the manufacturing process and sampling zone in ripened soft cheeses using attenuated total reflectance MIR and fiber optic diffuse reflectance VIS-NIR spectroscopy. Food Res Int 39:588–597. https://doi.org/10.1016/j.foodres.2005.12.002 CrossRefGoogle Scholar
- Leriche F, Bordessoules A, Fayolle K, Karoui R, Laval K, Leblanc L, Dufour E (2004) Alteration of raw-milk cheese by Pseudomonas spp.: monitoring the sources of contamination using fluorescence spectroscopy and metabolic profiling. J Microbiol Methods 59:33–41. https://doi.org/10.1016/j.mimet.2004.05.009 CrossRefGoogle Scholar
- Paine MA, McDowell JR, Graves JE (2007) Specific identification of western Atlantic Ocean scombrids using mitochondrial DNA cytochrome C oxidase subunit I (COI) gene region sequences. Bull Mar Sci 80:353–367Google Scholar