Results 261 to 270 of about 428,077 (358)

A Comprehensive Review of Biotechnological Innovations in Valorization of Food Waste: Enhancing Nutritional, Techno‐Functional Properties, and Process Optimization for Sustainable Product Development

open access: yesFood Frontiers, EarlyView.
This review highlights recent biotechnological innovations in the valorization of food waste through enzyme‐assisted processing and microbial fermentation to enhance nutritional, techno‐functional, and shelf‐stable properties for developing sustainable, plant‐based functional foods and nutraceuticals.
Md. Sakhawot Hossain   +6 more
wiley   +1 more source

Protein Energy Malnutrition: Opportunities for Cold Plasma Technologies

open access: yesFood Frontiers, EarlyView.
Protein energy malnutrition (PEM) is a major global health concern driven by biological, environmental, and nutritional factors, including gut microbiota imbalance and low protein intake. Cold atmospheric plasma technologies offer promising, sustainable solutions by improving food security, enhancing protein quality and absorption, and modulating gut ...
Karthika Prasad   +6 more
wiley   +1 more source

Transcriptomic and Metabolic Profiles of Apple Peels of Different Colors. [PDF]

open access: yesPlants (Basel)
Ao P   +13 more
europepmc   +1 more source

Beeswax: Food and beyond

open access: yesFood Biomacromolecules, EarlyView.
Abstract Honeybees (Apis mellifera L.) are an important class of insects that are the most beneficial in terms of economy. Beeswax is the second most important bee products after honey. Its commercial importance is due to its antimicrobial, antioxidant, anti‐inflammatory and antiseptic as well as regenerative properties.
Rajshri Naveen, Manickam Loganathan
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

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