Results 161 to 170 of about 711,616 (283)

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

open access: yesAdvanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee   +21 more
wiley   +1 more source

Immune and Stem Cell‐Mediated Bactericidal Amplification and Bone Remodeling for Infection Clearance and Osteointegration

open access: yesAdvanced Materials, EarlyView.
A pH‐responsive biomaterial interface integrates bactericidal peptides, cell‐recruiting peptides, and magnesium ions into a multifunctional system. Infection‐induced acidification triggers antimicrobial peptide release while cell‐recruiting peptides mobilize bone marrow stem cells.
Zhenyu Li   +9 more
wiley   +1 more source

NIR‐Activated Ag2S Quantum Dots for Efficient Broad‐Spectrum Antibacterial and Biofilm Disruption

open access: yesAdvanced Materials Interfaces, EarlyView.
This study presents a novel non‐antibiotic strategy leveraging NIR‐activated Ag2S QDs for synergistic PTT/PDT. The platform degrades the protective extracellular matrix via localized hyperthermia, facilitating deep penetration and ROS‐induced oxidative damage.
Rui Yao   +10 more
wiley   +1 more source

A Comprehensive Review of Waste‐Derived Materials for Solar Still Performance Enhancement

open access: yesAdvanced Materials Interfaces, EarlyView.
ABSTRACT Solar desalination reduces energy use and produces freshwater sustainably, but its productivity is limited and cannot meet rising demand. Thus, solar desalination system improvements are sought to boost water productivity. Waste materials are abundantly available and burden the environment, making them low‐cost enhancers for solar desalination
A. S. Abdullah   +6 more
wiley   +1 more source

Microbiota of frozen Vietnamese catfish (Pangasius hypophthalmus) marketed in Belgium [PDF]

open access: yes, 2016
Devlieghere, Frank   +3 more
core   +1 more source

Accelerating Discovery to Deployment: Argonne's Materials Engineering Research Facility (MERF) and Its Role in Scaling Materials Technologies for Water and Resource Solutions

open access: yesAdvanced Materials Technologies, EarlyView.
In this Perspective, we highlight the processing science and scale‐up capabilities of the Materials Engineering Research Facility (MERF) at the U.S. Department of Energy's Argonne National Laboratory, with an emphasis on practical solutions for sustainable water and critical resource recovery. We demonstrate how national laboratories bridge fundamental
Yuepeng Zhang   +9 more
wiley   +1 more source

Enhanced Infection Resistance and Regenerative Healing of Titanium Implants via Peptide‐Loaded Biodegradable Coatings

open access: yesAdvanced Materials Technologies, EarlyView.
This study presents a new biodegradable coating for titanium implants using a natural antimicrobial peptide, caerin 1.9. Applied via solvent casting, the coating offers sustained antibacterial protection and promotes healing. Tested on 3D‐printed porous titanium scaffolds, it effectively prevented infection—including against resistant bacteria—while ...
Hejie Li   +7 more
wiley   +1 more source

A solid phase enzyme-linked immunosorbent assay for the antigenic detection of Legionella pneumophila (serogroup 1): A compliment for the space station diagnostic capability [PDF]

open access: yes
It is necessary that an adequate microbiology capability be provided as part of the Health Maintenance Facility (HMF) to support expected microbial disease events and environmental monitoring during long periods of space flight.
Hejtmancik, Kelly E.
core   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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