Results 271 to 280 of about 1,267,460 (349)
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
Eco-friendly and sustainable gemini ionic liquid surfactants derived from coffee waste: design, surface activity, oil spill treatment, and antimicrobial performance. [PDF]
Abdel-Hameed R +9 more
europepmc +1 more source
Inactivating SARS‐CoV‐2 Virus with MOF‐Composites as Smart Face Masks
In situ preparation and functionalization of MOF@Cotton fabrics as smart face masks for the immobilization of proteins and inactivation viruses, such as SARS‐CoV‐2. Abstract The significant impact of the SARS‐CoV‐2 (COVID‐19) pandemic outbreak on people's lives has highlighted the urgent need for effective personal protective equipment.
Romy Ettlinger +9 more
wiley +1 more source
Designing AI-generated antimicrobials for targeting bacterial microdomains. [PDF]
Rzycki M, Gruda A.
europepmc +1 more source
A multifunctional nanodiamond platform enables pH‐triggered Diazoxide (DZX) delivery and quantum sensing of subcellular radical dynamics in triple‐negative breast cancer cells. Diamond relaxometry revealed reduced lysosomal radicals during DZX‐induced mitochondrial radical elevation, providing insights into redox modulation and organelle‐ resolved ...
Kaiqui Wu +8 more
wiley +1 more source
Effect of Viscosity Reduction by Rubber Organic Degradation Agents in High-Rubber-Content Asphalt. [PDF]
Zhao J +8 more
europepmc +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
Photocatalytic oxidation of arsenic(iii) in aqueous media: a mini-review. [PDF]
Navarrete-Magaña M +2 more
europepmc +1 more source
Analysis of Surface-active Agents (II)
openaire +4 more sources
A hybrid anode composed of Cl‐functionalized curved nanographene and graphite enables ultra‐fast charging and long cycle life through an engineered morphology and sequential Li+ insertion. It delivers 100 mAh g−1 at 5 C with 70% capacity retention after 1000 cycles and maintains stable performance over 2000 cycles in pouch cells, providing a practical ...
Hyunji Cha +8 more
wiley +1 more source

