Mid infrared spectroscopy coupled with chemometric tools for qualitative analysis of canned tuna with sunflower medium |
| |
| Affiliation: | 1. Univ. Artois, UMRT BioEcoAgro 1158, Institut Charles Viollette, F-62300 Lens, France;2. PFINV, F-62200 Boulogne-sur-Mer, France;3. ISA Lille, EA 7394, Institut Charles Viollette, Lille F-59000, France;4. Ulco, EA 7394, Institut Charles Viollette, Boulogne Sur Mer F-62200, France;5. Univ. Lille, EA 7394, Institut Charles Viollette, Lille F-59000, France;6. ADRIANOR, F-62217 Tilloy Les Mofflaines, France;1. Department of Chemistry, College of Natural and Computational Sciences, Haramaya University, Oromia, Ethiopia;2. School of Water Resources and Environment, Research Center of Environmental Science and Engineering, China University of Geosciences (Beijing), 100083 Beijing, China;3. School of Plant Sciences, College of Agriculture and Environmental Sciences, Haramaya University, Oromia, Ethiopia;1. University of Gdańsk, Environmental Chemistry and Ecotoxicology, 63 Wita Stwosza Street, 80-308 Gdańsk, Poland;2. Environmental and Computational Chemistry Group, School of Pharmaceutical Sciences, Zaragocilla Campus, University of Cartagena, Cartagena, Colombia;3. Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming 650200, China;4. Institute of Meteorology and Water Management – Maritime Branch, National Research Institute, 42 Waszyngtona Av., 81-342 Gdynia, Poland;5. School of Environmental Sciences, University of East Anglia, Norwich NR4 7TJ, UK;1. Hebei Key Lab of Power Plant Flue Gas Multi-Pollutants Control, Department of Environmental Science and Engineering, North China Electric Power University, Baoding, 071003, PR China;2. MOE Key Laboratory of Resources and Environmental Systems Optimization, Beijing, 102206, PR China |
| |
| Abstract: | The most common frauds of tuna cans supply chain concern the substitution or mixing of valuable tuna species with cheaper ones, which is strictly prohibited by the European regulation. The aim of this work was to investigate the ability of mid-infrared (MIR) spectroscopy as a rapid and non-destructive tool to identify canned bigeye, yellowfin and skipjack tunas and detect their presence in a binary mixture of canned tunas. The MIR spectra were acquired on 232 canned tunas produced at the pilot scale. The factorial discriminant analysis (FDA) was applied to the first 5 principal components (PCs) of the principal component analysis (PCA) of the three spectral regions: 3000–2800 cm−1, 1700–1500 cm−1 and 1500–900 cm−1. A robust model was created with correct classification amounting to 90.38% that was tested on 30 commercial canned tuna. A total (100%) of correct classification was obtained for skipjack tuna, while misclassification was observed for cans labelled as bigeye and yellowfin suggesting an adulteration action or mislabelling during process technology. |
| |
| Keywords: | Authentication Quantification MIR Chemometrics |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
