Results 231 to 240 of about 201,791 (342)

Machine Learning for Precise Identification of Royal Jelly From Various Food Sources With Stable Isotope and Physicochemical Properties

open access: yesFood Frontiers, EarlyView.
The δ13C and δ15N were first determined and analyzed in rape beebread, sesame beebread, and forage.The first study of the fractionation coefficients and fractionation values of 13C and 15N in diets to the royal jelly (RJ) produced.The RF and ANN models demonstrated 100% classification accuracy for different feeding produced RJs.
Zhaolong Liu   +5 more
wiley   +1 more source

Free fatty acid biosynthesis precursors are involved in pollen-stigma interactions in <i>Brassica</i>. [PDF]

open access: yesHortic Res
Qin H   +14 more
europepmc   +1 more source

Floral Origin Determines the In Vitro Antibacterial Activity of Bee Pollen Collected From Western Oromia, Ethiopia

open access: yesFuture Postharvest and Food, EarlyView.
ABSTRACT Bee pollen has been used as a medicine and food supplement. The biological activity and nutrient composition of bee pollen depend on its floral origin. Therefore, it was aimed to determine the phenolic and flavonoid content and antibacterial activities of methanolic (99.9%) extract of bee pollens among flora. Floral origin was identified using
Ofijan Tesfaye
wiley   +1 more source

Impact of Endocrine‐Disrupting Chemicals (EDCs) Used in the Food Industry on Endocrine Abnormalities

open access: yesFood Safety and Health, EarlyView.
This review was conducted to examine the relationship between hormone disruption and other endocrine abnormalities in the context of the constant consumption of genetically modified foods and overexposure to chemicals used directly and indirectly in the agrifood industry.
Perla D. Serrano‐López   +3 more
wiley   +1 more source

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