Detection and Classification of Saffron Adulterants by Vis-Nir Imaging, Chemical Analysis, and Soft Computing.
RGB images
adulteration
classifiers
saffron features
spectral images
Journal
Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569
Informations de publication
Date de publication:
30 May 2023
30 May 2023
Historique:
received:
14
03
2023
revised:
10
04
2023
accepted:
15
04
2023
medline:
10
6
2023
pubmed:
10
6
2023
entrez:
10
6
2023
Statut:
epublish
Résumé
Saffron (
Identifiants
pubmed: 37297436
pii: foods12112192
doi: 10.3390/foods12112192
pmc: PMC10252310
pii:
doi:
Types de publication
Journal Article
Langues
eng
Références
Anal Chem. 2015 Jun 2;87(11):5753-61
pubmed: 25936794
Food Sci Nutr. 2020 Feb 27;8(4):1923-1932
pubmed: 32328258
Food Chem. 2020 Mar 1;307:125527
pubmed: 31648179
J Sci Food Agric. 2018 Jul;98(9):3542-3550
pubmed: 29314049
Food Chem. 2021 May 15;344:128647
pubmed: 33229154
IEEE Trans Cybern. 2016 Jun;46(6):1263-75
pubmed: 26126291
Food Chem. 2017 Aug 15;229:680-687
pubmed: 28372231
Plant Foods Hum Nutr. 2019 Jun;74(2):171-178
pubmed: 31001725
Spectrochim Acta A Mol Biomol Spectrosc. 2018 Feb 5;190:283-289
pubmed: 28941412
PLoS One. 2012;7(1):e29704
pubmed: 22235330
Food Chem. 2017 Feb 15;217:418-424
pubmed: 27664653
Food Chem. 2017 Mar 15;219:408-413
pubmed: 27765245
Chem Soc Rev. 2014 Dec 21;43(24):8200-14
pubmed: 25156745