Mathematical modeling to predict rice's phenolic and mineral content through multispectral imaging

por Buenafe, Reuben James, Tiozon, Rhowell, Boyd, Lesley A., Sartagoda, Kristel June, Sreenivasulu, Nese
Publicado 2022

Metabolomics and machine learning technique revealed that germination enhances the multi-nutritional properties of pigmented rice

por Tiozon, Rhowell Jr. N., Sreenivasulu, Nese, Alseekh, Saleh, Sartagoda, Kristel June D., Usadel, Björn, Fernie, Alisdair R.
Publicado 2023

Metabolomics based inferences to unravel phenolic compound diversity in cereals and its implications for human gut health

por Tiozon, Rhowell Jr. N., Sartagoda, Kristel June D., Serrano, Luster May N., Fernie, Alisdair R., Sreenivasulu, Nese
Publicado 2022

Food Processing Technologies to Develop Functional Foods With Enriched Bioactive Phenolic Compounds in Cereals

por Kasote, Deepak, Tiozon, Rhowell N., Sartagoda, Kristel June D., Itagi, Hameeda, Roy, Priyabrata, Kohli, Ajay, Regina, Ahmed, Sreenivasulu, Nese
Publicado 2021