Results 101 to 110 of about 588,234 (285)
A previously unreported coordination motif stabilising single Fe atoms by indigo chelation and pyridyl coordination on Au(111) has been revealed. By using planar tritopic pyridyl linkers (TPyB), extended 2D porous networks of indigo3(TPyB)2Fe6 form. These networks can be crystalline or vitreous and offer an environment where individual coordination ...
Hongxiang Xu +9 more
wiley +1 more source
A miniaturized, label‐free, and enzyme‐free biosensor (miR‐TFT) enables direct electrical detection of microRNA (miRNA) with single‐nucleotide specificity and a detection limit of 0.6 fM. Built on a tri‐channel In2O3/ZnO heterojunction and functionalized with bespoke peptide nucleic acid (PNA) probes, the device is robust, reusable, and compatible with
Wejdan S. Al Ghamdi +5 more
wiley +1 more source
Oral Administration of Deer Bone Collagen Peptide Can Enhance the Skin Hydration Ability and Antioxidant Ability of Aging Mice Induced by D-Gal, and Regulate the Synthesis and Degradation of Collagen [PDF]
Ke Zhang +6 more
openalex +1 more source
There is a significant need for biomaterials with well‐defined stability and bioactivity to support tissue regeneration. In this study, we developed a tunable microgel platform that enables the decoupling of stiffness from porosity, thereby promoting bone regeneration.
Silvia Pravato +9 more
wiley +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
Total Synthesis of Tetraselide via Liquid-Phase Peptide Synthesis Using Soluble Hydrophobic Tags [PDF]
Hisashi Yamamoto, Abhijit Paul
openalex +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
Grass carp swim bladder collagen peptides (GCPs) were purified by ultrafiltration and Sephadex G-15 chromatography to obtain GCP-II, which exhibited superior antioxidant activity.
Suxin Li +4 more
doaj +1 more source

