Results 41 to 50 of about 286,782 (309)
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Understanding Decoherence of the Boron Vacancy Center in Hexagonal Boron Nitride
State‐of‐the‐art computations unravel the intricate decoherence dynamics of the boron vacancy center in hexagonal boron nitride across magnetic fields from 0 to 3 T. Five distinct regimes emerge, dominated by nuclear spin interactions, revealing optimal coherence times of 1–20 µs in the 180–350 mT range for isotopically pure samples.
András Tárkányi, Viktor Ivády
wiley +1 more source
Determination of Eleven Veterinary Drugs in Chicken Meat and Liver
Brazil chicken production is around 13 million tons and about a third is exported to over 150 countries, placing Brazil as the world largest chicken meat producer, and therefore it is crucial to follow the legislation of all importer markets.
Amanda Barros +4 more
doaj +1 more source
Inhibition of Escherichia Coli O157:h7 Contamination on Chicken Meat by Natural Vinegar Prepared From Banana Peel and Coconut Water [PDF]
The use of vinegar as a natural preservative to inactivate microbial growth in meat was investigated. Vinegar was prepared from banana peel and coconut water, and the efficacy against Escherichia coli O157:H7 was tested.
Andriani, A. (A) +2 more
core +1 more source
Tenderness of Dystrophic Chicken Meat
Abstract THE occurrence of muscular dystrophy in chickens has been traced to an autosomal recessive gene (Asmundson and Julian, 1956, 1963). Several studies have been made at the University of California at Davis on the composition of the dystrophic chicken muscle (Jordan et al., 1959., 1964; Peterson et al., 1963; and Wilson et al., 1965).
S. Scholtyssek +4 more
openaire +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Meat product is the main food and major source of daily protein intake. Polyphenols are always introduced into many meat products during processing. Some complex interactions may occur between polyphenol and meat protein during the processing, especially
Wenjun Wen, Shijie Li, Junping Wang
doaj +1 more source
Thickness‐Dependent Skyrmion Evolution in Fe3GeTe2 During Magnetization Reversal
Thickness‐ and field‐dependent magnetic domain behavior in 2D van der Waals Fe3GeTe2 is studied using Lorentz TEM and micromagnetic simulations. A patch‐like domain phase evolves from skyrmions during magnetization reversal, and step edges between thickness regions act as pinning sites.
Jennifer Garland +9 more
wiley +1 more source
This study aimed to compare the antibiotic resistance patterns among original Enterobacteriaceae isolates from broiler and backyard chicken meats in Surabaya, Indonesia, isolated in 2016-2017.
R. Yulistiani +3 more
doaj +1 more source
Untargeted metabolomics to reveal red versus white meat‐associated gut metabolites in a prudent and western dietary context [PDF]
Scope: To improve understanding of the epidemiological link between red and processed meat consumption and chronic diseases, more insight in the formation of metabolites during meat digestion is warranted.Methods and results: Untargeted MS ...
De Smet, Stefaan +8 more
core +1 more source

