Results 131 to 140 of about 69,553 (261)

Highly Porous Expanded Graphite: Thermal Shock vs. Programmable Heating. [PDF]

open access: yesMaterials (Basel), 2021
Bannov AG   +8 more
europepmc   +1 more source

Ultrasound‐Recharged Sub‐Nanometer Palladium Catalysts for on‐Demand and Self‐Terminating Bioorthogonal Prodrug Activation in Cancer Therapy

open access: yesAdvanced Science, EarlyView.
Safe and precise bioorthogonal therapy of tumors was achieved by an ultrasound‐responsive heterostructured nanoreactor with on‐demand catalytic activity. Under piezoelectric catalysis, the system undergoes reversible Pd2+/Pd0 redox cycling, concurrently enabling spatiotemporally controlled prodrug activation and self‐terminating catalytic dose ...
Daqing Xia   +9 more
wiley   +1 more source

Current Collector Engineering for New Efficient Bioresorbable Sodium‐Ion Batteries

open access: yesAdvanced Science, EarlyView.
A bioresorbable Na‐ion battery is proposed with Mo or Mg thin‐film current collectors for temporary implants. Mo‐based batteries exhibit superior electrochemical performance and stable cycling compared with Mg counterparts. XPS was used to investigate the Mo/Mg surface oxidation.
Bincy Lathakumary Vijayan   +15 more
wiley   +1 more source

Ti‐Doping Activates Adjacent Zr Sites in Bimetallic MOFs for Cooperative Phospholipid Removals in Human Biomonitoring

open access: yesAdvanced Science, EarlyView.
Ti‐doped Zr/Ti bimetallic MOFs activate neighboring Zr sites to selectively capture phospholipids from serum through cooperative interactions. In nontargeted screening, the material minimizes matrix interference, expands detectable feature coverage, and enables broad recovery of diverse chemical hazards, providing a powerful cleanup strategy for LC ...
Yanmin Liang   +5 more
wiley   +1 more source

Challenges in accurate HDV RNA quantification: inter-assay variability and the impact of thermal shock. [PDF]

open access: yesJ Clin Microbiol
Pérez-García F   +13 more
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

open access: yesAdvanced Science, EarlyView.
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

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