Modeling and Optimization of Process Parameters for Nutritional Enhancement in Enzymatic Milled Rice by Multiple Linear Regression (MLR) and Artificial Neural Network (ANN).
artificial neural network (ANN)
enzymes
milled rice
multiple linear regression (MLR)
Journal
Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569
Informations de publication
Date de publication:
03 Dec 2021
03 Dec 2021
Historique:
received:
09
09
2021
revised:
03
11
2021
accepted:
05
11
2021
entrez:
24
12
2021
pubmed:
25
12
2021
medline:
25
12
2021
Statut:
epublish
Résumé
This study involves information about the concentrations of nutrients (proteins, phenolic compounds, free amino acids, minerals (Ca, P, and Iron), hardness) in milled rice processed with enzymes; xylanase and cellulase produced by
Identifiants
pubmed: 34945526
pii: foods10122975
doi: 10.3390/foods10122975
pmc: PMC8700668
pii:
doi:
Types de publication
Journal Article
Langues
eng
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