Results 71 to 80 of about 307,715 (380)
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
Immobilized Microbial Cellulases in Organic-Inorganic Hybrid Materials
The Aspergillus niger cellulase was immobilized by entrapment in natrium alginate gels and in natrium alginate/silica gel hybrid materials. The silica gels were obtained using two different precursors, tetraethoxysilane (TEOS) and tetramethoxysilane ...
Monica Dragomirescu +2 more
doaj
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel +5 more
wiley +1 more source
Rolling Bearing Damage from Particle Contamination – Diagnosis via Inspection
Indentations in rolling bearings from particle contamination introduce surface damage because they disturb lubrication and produce stress concentrations.
Guillermo Enrique Morales-Espejel +1 more
doaj +1 more source
Morphometry of Suprascapular Notch and its Correlation with that of Scapula [PDF]
Suprascapular notch is the common site for the entrapment of the suprascapular nerve. Suprascapular nerve compression usually presents with vague pain across the scapula or dull shoulder ache.
Muralidhar Reddy Sangam +1 more
doaj +1 more source
Evaluation of the skin protective effects of niosomal-entrapped annona squamosa against UVA irradiation [PDF]
Ebtesam A. Mohamad +2 more
openalex +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
The role of phospholipid as a solubility- and permeability-enhancing excipient for the improved delivery of the bioactive phytoconstituents of Bacopa monnieri [PDF]
In an attempt to improve the solubility and permeability of Standardized Bacopa Extract (SBE), a complexation approach based on phospholipid was employed.
Bobde, Yamini S +6 more
core +2 more sources
Size-Controlled Fabrication of Alginate Hydrogel Microbeads Optimized for Lipase Entrapment
Enzyme entrapment in alginate hydrogel microbeads is an effective method of immobilization for industrial applications, but many fabrication methods for alginate microbeads involve oil, organic solvents, or high temperatures that reduce enzymatic ...
Dong Han Kim +3 more
doaj +1 more source
Preparation of Polyphosphazene Hydrogels for Enzyme Immobilization
We report on the synthesis and application of a new hydrogel based on a methacrylate substituted polyphosphazene. Through ring-opening polymerization and nucleophilic substitution, poly[bis(methacrylate)phosphazene] (PBMAP) was successfully synthesized ...
Yue-Cheng Qian +4 more
doaj +1 more source

