Non-destructive Near Infrared Spectroscopy for the labelling of frozen Iberian pork loins

被引:36
作者
Caceres-Nevado, J. M. [1 ]
Garrido-Varo, A. [1 ]
De Pedro-Sanz, E. [1 ]
Tejerina-Barrado, D. [2 ]
Perez-Marin, D. C. [1 ]
机构
[1] Univ Cordoba, Fac Agr & Forestry Engn, Campus Rabanales N-4,Km 396, Cordoba 14014, Spain
[2] Junta Extremadura, Ctr Invest Cient & Tecnol Extremadura CICYTEX La, Meat Qual Area, Badajoz, Spain
关键词
Iberian pig loin; Fresh meat authentication; Mislabelling; In situ Near Infrared analysis; PLS-DA discriminant analysis; VARIABLE SELECTION; REFLECTANCE SPECTROSCOPY; BREAST MEAT; THAWED MEAT; FRESH; DIFFERENTIATION; QUALITY; DISCRIMINATION; IDENTIFICATION; WATER;
D O I
10.1016/j.meatsci.2021.108440
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Iberian pigs fed on acorns and pasture were slaughtered from January until March of 2018 and 2019. The meat from those Iberian pigs is a seasonal food that only can be found fresh, at the marketplace, during a limit period of the year. Selling frozen-thawed meat is a legal practice, but consumers must be informed about it on the product label. However, to declare as fresh meat, meat previously frozen, is one of the most frequent meat frauds. The present study compares the performance of two rather different Near Infrared Spectroscopy instruments, based on Fourier Transform and Linear Variable Filter technologies, for the in-situ detection of fresh and frozen-thawed acorns-fed Iberian pig loins using Partial Least Discriminant Analysis (PLS-DA). The performance of the models developed for both instruments offered a very high discriminant ability. Furthermore, the models showed consistent results and interpretation when were evaluated with several scalars and graphical methods.
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页数:11
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