Results 261 to 270 of about 264,223 (344)

Rapid, simple and accessible phytonutritional assessment methods in agricultural research

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Agricultural research with respect to studying the effects of genetic background and environmental conditions on plant and commercial parameters is ample. Nevertheless, data on the effects on nutritional value and phytonutritional composition are scarce, despite its significance to the consumer, as well as its importance in ...
Zipora Tietel   +2 more
wiley   +1 more source

Exploring the antimicrobial activity of fermented and non‐fermented cocoa bean shell extracts through metabolomics analysis and synergistic studies

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Cocoa bean shell (CBS) extracts have emerged as a promising source of antimicrobial compounds. However, the bioactive compounds responsible for their antimicrobial activity have not been studied sufficiently. This study analyzed the antimicrobial properties of 12 extracts from fermented and non‐fermented CBS, employing solvent and ...
Yie Kie Chong   +5 more
wiley   +1 more source

Correction: Protective effects of Euphorbia heterophylla against testicular degeneration in streptozotocin-induced diabetic rats in relation to phytochemical profile. [PDF]

open access: yesPLoS One
Nagy AM   +9 more
europepmc   +1 more source

Harnessing deep learning for wheat variety classification: a convolutional neural network and transfer learning approach

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Computer vision and the use of image‐based solutions are gaining traction as non‐destructive food assessment methods because of the low costs of computational equipment. Research conducted on the development of wheat classification models has been based on limited data and a smaller number of classes compared to the availability of ...
Mahtem Teweldemedhin Mengstu   +1 more
wiley   +1 more source

Developing a quantitative structure–property relationships (QSPR) model using Caco‐2 cell bioavailability indicators (BA) to predict the BA of phytochemicals

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to measure bioavailability (BA) indicators, including epithelial barrier function, apparent permeability (Papp) and efflux ratio, of 84 types of phytochemicals using Caco‐2 cell and to develop predictive model systems using machine learning with a quantitative structure–property relationship (QSPR) model ...
Kang‐Woo Lee   +9 more
wiley   +1 more source

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