Estimation of Proximate Composition in Rice Using ATR-FTIR Spectroscopy and Chemometrics.
Journal
ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658
Informations de publication
Date de publication:
30 Jul 2024
30 Jul 2024
Historique:
received:
23
03
2024
revised:
26
06
2024
accepted:
28
06
2024
medline:
5
8
2024
pubmed:
5
8
2024
entrez:
5
8
2024
Statut:
epublish
Résumé
This study presents an innovative approach for estimating the proximate composition of diverse rice varieties using attenuated total reflectance fourier transform infrared (ATR-FTIR) spectroscopy and chemometric techniques. Principal component analysis (PCA) reveals distinct separations among the seven rice varieties based on their FTIR spectra. Robust partial least squares (PLS) regression models, developed with high calibration (
Identifiants
pubmed: 39100304
doi: 10.1021/acsomega.4c02816
pmc: PMC11292836
doi:
Types de publication
Journal Article
Langues
eng
Pagination
32760-32768Informations de copyright
© 2024 The Authors. Published by American Chemical Society.
Déclaration de conflit d'intérêts
The authors declare no competing financial interest.