Rapid Differentiation of Unfrozen and Frozen-Thawed Tuna with Non-Destructive Methods and Classification Models: Bioelectrical Impedance Analysis (BIA), Near-Infrared Spectroscopy (NIR) and Time Domain Reflectometry (TDR)

被引:10
作者
Nieto-Ortega, Sonia [1 ]
Melado-Herreros, Angela [1 ]
Foti, Giuseppe [1 ]
Olabarrieta, Idoia [1 ]
Ramilo-Fernandez, Graciela [2 ]
Gonzalez Sotelo, Carmen [2 ]
Teixeira, Barbara [3 ,4 ]
Velasco, Amaya [2 ]
Mendes, Rogerio [3 ,4 ]
机构
[1] AZTI, Food Res, Basque Res & Technol Alliance BRTA, Parque Tecnol Bizkaia,Astondo Bidea,Edificio 609, Derio 48160, Spain
[2] CSIC, Inst Invest Marinas, Eduardo Cabello 6, Vigo 36208, Spain
[3] IPMA, Portuguese Inst Sea & Atmosphere, R Alfredo Magalhaes Ramalho 6, P-1449006 Lisbon, Portugal
[4] Univ Porto, Interdisciplinary Ctr Marine & Environm Res CIIMA, Rua Bragas 289, P-4050123 Porto, Portugal
关键词
chemometrics; water injection; fishery products; authenticity; sensors; defrosted; freezing; quality control; consumer trust; labelling; MAGNETIC-RESONANCE; FRESH; FISH; QUALITY; WATER; TOOL; REGRESSION;
D O I
10.3390/foods11010055
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The performances of three non-destructive sensors, based on different principles, bioelectrical impedance analysis (BIA), near-infrared spectroscopy (NIR) and time domain reflectometry (TDR), were studied to discriminate between unfrozen and frozen-thawed fish. Bigeye tuna (Thunnus obesus) was selected as a model to evaluate these technologies. The addition of water and additives is usual in the fish industry, thus, in order to have a wide range of possible commercial conditions, some samples were injected with different water solutions (based on different concentrations of salt, polyphosphates and a protein hydrolysate solution). Three different models, based on partial least squares discriminant analysis (PLS-DA), were developed for each technology. This is a linear classification method that combines the properties of partial least squares (PLS) regression with the classification power of a discriminant technique. The results obtained in the evaluation of the test set were satisfactory for all the sensors, giving NIR the best performance (accuracy = 0.91, error rate = 0.10). Nevertheless, the classification accomplished with BIA and TDR data resulted also satisfactory and almost equally as good, with accuracies of 0.88 and 0.86 and error rates of 0.14 and 0.15, respectively. This work opens new possibilities to discriminate between unfrozen and frozen-thawed fish samples with different non-destructive alternatives, regardless of whether or not they have added water.
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页数:15
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