Results 191 to 200 of about 4,349 (291)
The Effects of Polystyrene Nano/Microplastics on the Conjugative Transfer of Antibiotic Resistance Genes Between Algae and Bacteria. [PDF]
Wang Y +9 more
europepmc +1 more source
A disulfide‐sticker strategy, coupled with Ca2+ coordination, drives the hierarchical self‐assembly of a recombinant scallop adhesive protein into fishnet‐like nanostructures, affording a coating with versatile wet adhesion and intrinsic antioxidant activity. This biocompatible coating markedly promotes hair regeneration by activating follicular niches,
Lulu Wang +7 more
wiley +1 more source
Mealworm frass fed on expanded polystyrene helps retention of chrysanthemum flower. [PDF]
Yun JY +4 more
europepmc +1 more source
A mitochondria‐targeted, microenvironment‐responsive nanoplatform enables pH/ROS‐triggered co‐delivery of berberine and isoliensinine to orchestrate ROS scavenging, inflammation suppression, and apoptosis inhibition. This vertical modulation of mitochondrial pathological networks preserves mitochondrial function and effectively mitigates myocardial ...
Jue Wang +11 more
wiley +1 more source
Encapsulation of colistin using hyaluronic acid and PVA-PSS polymeric nanocarriers for enhanced drug delivery: a molecular dynamics simulation study. [PDF]
Azadi A, Ahmadi K, Fazli H, Nassira H.
europepmc +1 more source
Optimized Lipid Nanoparticles with Tail‐Modified Ionizable Lipids for Safer mRNA Delivery
Systematic engineering of hydrophobic tail architecture in vitamin B5‐derived ionizable lipids establishes a comprehensive structure–activity relationship framework for mRNA delivery. Combined lipidtail and formulation optimization identifies TM1‐OPT3‐C, a lipid nanoparticle platform that improves efficacy–safety balance through efficient mRNA delivery,
Seo‐Hyeon Bae +27 more
wiley +1 more source
Electric-Field-Assisted Co-Deposition of Bacteriorhodopsin and PEDOT:PSS on Interdigitated Electrodes for Biohybrid Photodetectors. [PDF]
Gómez AR +4 more
europepmc +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source

