Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Antimicrobial Nanomaterials in the Food Industry: Applications in Meat Packaging. [PDF]
Constantin CE +3 more
europepmc +1 more source
Challenges with use of risk matrices for geohazard risk management for resource development projects [PDF]
Michael J. Porter +3 more
openalex +1 more source
The dielectric properties of clays are studied on the level of individual monolayers and functional double stacks. The material breakdown characteristics and charge storage performance are analyzed. For illustration, a defined charge pattern representing a cuneiform character is produced, written into a microscopic clay tile, referencing the origins of
Sebastian Gödrich +6 more
wiley +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Bioactive Hydrogels and Scaffolds for Oral Mucosal Regeneration After Oral Squamous Cell Carcinoma Therapy: A Comprehensive Review. [PDF]
Ormenisan A +4 more
europepmc +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
<i>Salmonella</i>'s lost phenotype: implications of sequence-based serotyping on the characterization of lipopolysaccharide-deficient <i>Salmonella</i> isolates. [PDF]
Wenderlein J +7 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
Mobility-driven synthetic contact matrices as a scalable solution for real-time pandemic response modeling. [PDF]
Di Domenico L +4 more
europepmc +1 more source

