Results 201 to 210 of about 8,732,832 (344)
Nanotoxicity of Porous Silica Nanoparticles: Physicochemical Properties and Mechanistic Cellular Endpoints. [PDF]
Patel T +4 more
europepmc +1 more source
Encoding Magnetic Anisotropies in Digital Light Processing 3D Printing
A hybrid magnetic device—combining a coaxial coil within a nested Halbach array—is presented, integrated into a DLP 3D printer to enable spatially resolved magnetic field control. This system enables complex, multimodal responses by programming liquid crystal elastomer resins for magnetic and thermal actuation, and by inducing electrically conductive ...
Eléonore Aïdonidis +11 more
wiley +1 more source
Study on the synthesis, physicochemical properties and transdermal absorption of scutellarein prodrugs. [PDF]
Wang P, Yu HJ, Yin ZQ, Zhou CW.
europepmc +1 more source
Development and Evaluation of Physicochemical Properties of Pulse Added Protein Rich Pasta
Ronali Navoda Balasooriya +1 more
openalex +1 more source
A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
Preparation, physicochemical properties, and immunomodulatory activity of glycoproteins from Syngnathoides biaculeatus. [PDF]
Xia X +7 more
europepmc +1 more source
Herein, an RBC membrane‐derived nanoparticle (CMN‐ICG) is engineered to efficiently deliver a sonosensitizing agent, indocyanine green (ICG), for sonotherapy of hepatocellular carcinoma (HCC). CMN‐ICG exhibits excellent cytocompatibility, significantly enhances hepatocyte uptake, and produces excessive reactive oxygen species (ROS) upon ultrasound ...
Alap Ali Zahid +6 more
wiley +1 more source
Polydopamine-Functionalized Zinc Oxide Nanoparticles as a Root Canal Sealer: Characterization, Biological, and Physicochemical Properties. [PDF]
Raj AN, Shetty A, Rao LN.
europepmc +1 more source
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source

