Modeling and Optimization of Process Parameters for Nutritional Enhancement in Enzymatic Milled Rice by Multiple Linear Regression (MLR) and Artificial Neural Network (ANN)

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 Aspergillus awamori, MTCC 9166 and Trichoderma reese, MTCC164. Brown...

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Detalles Bibliográficos
Autores principales: Kothakota, Anjineyulu, Pandiselvam, Ravi, Siliveru, Kaliramesh, Pandey, Jai Prakash, Sagarika, Nukasani, Srinivas, Chintada H. Sai, Kumar, Anil, Singh, Anupama, Prakash, Shivaprasad D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700668/
https://www.ncbi.nlm.nih.gov/pubmed/34945526
http://dx.doi.org/10.3390/foods10122975

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8700668/
https://www.ncbi.nlm.nih.gov/pubmed/34945526
http://dx.doi.org/10.3390/foods10122975

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