-
Tytuł:
-
Near infrared spectroscopy (NIRS) as tool for classification into official commercial categories and shelf-life storage times of pre-sliced modified atmosphere packaged Iberian dry-cured loin.
-
Autorzy:
-
Tejerina D; Meat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden). Junta de Extremadura, Guadajira, Badajoz, Spain. Electronic address: .
Contador R; Meat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden). Junta de Extremadura, Guadajira, Badajoz, Spain.
Ortiz A; Meat Quality Area, Center of Scientific and Technological Research of Extremadura (CICYTEX-La Orden). Junta de Extremadura, Guadajira, Badajoz, Spain.
-
Źródło:
-
Food chemistry [Food Chem] 2021 Sep 15; Vol. 356, pp. 129733. Date of Electronic Publication: 2021 Mar 31.
-
Typ publikacji:
-
Journal Article
-
Język:
-
English
-
Imprint Name(s):
-
Publication: Barking : Elsevier Applied Science Publishers
Original Publication: Barking, Eng., Applied Science Publishers.
-
MeSH Terms:
-
Atmosphere*
Food Packaging*
Food Storage*
Spectroscopy, Near-Infrared*
Food Analysis/*methods
Meat/*analysis
Animals ; Food Quality ; Time Factors
-
Contributed Indexing:
-
Keywords: Authentication; Breed purity; Feeding regime; Food control; LDA; PLS-DA; SIMCA
-
Entry Date(s):
-
Date Created: 20210413 Date Completed: 20210520 Latest Revision: 20210520
-
Update Code:
-
20240104
-
DOI:
-
10.1016/j.foodchem.2021.129733
-
PMID:
-
33848679
-
The potential of Near Infrared Spectroscopy combining different spectral treatments and classification models was assessed for the classification of individual pre-sliced Iberian dry-cured loin packaged under modified atmosphere packaging (MAP) into three official commercial categories (which involve the breed purity and production system) according to the current Iberian Quality Standard (Black, Red and White) and for the assignment to the shelf-life time (0, 4, 8 and 12 months). External validation results provided acceptable results, with up to 100% of samples correctly assigned to Black and White official commercial category and into all storage times. Actually the 100% assignments were obtained using more than one approach (SIMCA and LDA for commercial categories and PLS-DA, SIMCA and LDA for storage times). These results might contribute to support the on-line control of authenticity of official commercial category and to facilitate the monitoring of the quality of pre-package dry-cured products throughout the shelf-life prediction.
(Copyright © 2021 Elsevier Ltd. All rights reserved.)
