Characterisation and Identification of Individual Intact Goat Muscle Samples (
carcass
chemometrics
classification
goat meat
infrared
Journal
Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569
Informations de publication
Date de publication:
18 Sep 2022
18 Sep 2022
Historique:
received:
04
09
2022
revised:
07
09
2022
accepted:
13
09
2022
entrez:
23
9
2022
pubmed:
24
9
2022
medline:
24
9
2022
Statut:
epublish
Résumé
Adulterated, poor-quality, and unsafe foods, including meat, are still major issues for both the food industry and consumers, which have driven efforts to find alternative technologies to detect these challenges. This study evaluated the use of a portable near-infrared (NIR) instrument, combined with chemometrics, to identify and classify individual-intact fresh goat muscle samples. Fresh goat carcasses (n = 35; 19 to 21.7 Kg LW) from different animals (age, breeds, sex) were used and separated into different commercial cuts. Thus, the
Identifiants
pubmed: 36141022
pii: foods11182894
doi: 10.3390/foods11182894
pmc: PMC9498649
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Meat Sci. 2009 Oct;83(2):175-86
pubmed: 20416766
Food Sci Anim Resour. 2022 Jul;42(4):655-671
pubmed: 35855268
Animals (Basel). 2022 Feb 04;12(3):
pubmed: 35158705
Meat Sci. 2021 May;175:108437
pubmed: 33453554
Br J Sports Med. 2001 Dec;35(6):441-4
pubmed: 11726485
J Food Sci. 2017 Jul;82(7):1557-1562
pubmed: 28598587
Meat Sci. 2012 Jan;90(1):259-68
pubmed: 21821367
Food Chem. 2018 Apr 25;246:6-17
pubmed: 29291879
Meat Sci. 2005 Feb;69(2):255-61
pubmed: 22062816
Food Chem. 2011 Aug 1;127(3):1280-6
pubmed: 25214127
Meat Sci. 2018 Feb;136:59-67
pubmed: 29096288
Meat Sci. 2013 Dec;95(4):879-96
pubmed: 23688798