Results 181 to 190 of about 146,771 (344)

Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles

open access: yesSmall, EarlyView.
This work presents a versatile strategy for asymmetrically decorating MoS2 flakes using SiO2 microspheres as masking templates. The Janus MoS2 exhibits a 1.9‐fold enhancement in photoluminescence (PL) due to the incorporation of Au nanoparticles (NPs), primarily dominated by B exciton emission, which is attributed to defect‐rich structures.
Natalia V. Vassilyeva   +2 more
wiley   +1 more source

Reprogramming Immunogenicity of Iron Oxide Nanoparticles through Sulfated Glycan Presentation

open access: yesSmall, EarlyView.
This study presents a comparative analysis of heparin (HP)‐ and dextran sulfate (DS)‐coated superparamagnetic iron oxide nanoparticles (SPIONs) as a tunable immunomodulatory platform where surface chemistry dictates therapeutic function. DS‐SPIONs are preferentially internalized by myeloid cells, reprogramming them into a pro‐healing M2 phenotype ...
Negin Pournoori   +8 more
wiley   +1 more source

Magnetic dipole imaging of magnetite nanoparticles in brain tissue. [PDF]

open access: yesRSC Adv
Kaub L   +8 more
europepmc   +1 more source

Evaluation of magnetite as an indicator mineral for porphyry Cu exploration: a case study using bedrock and stream sediments at the Casino porphyry Cu–Au–Mo deposit, Yukon, Canada

open access: hybrid, 2022
M W McCurdy   +9 more
openalex   +1 more source

Ligand‐Driven Optimization of Iron Oxide Nanoprobes for In Vivo MRI Enhancement at Ultra‐High Field

open access: yesSmall, EarlyView.
Ligand‐tailored iron oxide nanoparticles reveal how surface chemistry controls T2 relaxivity and in vivo performance in ultra‐high‐field MRI. Systematic variation of hydrophilicity and charge across five coatings modulated r2 by up to 333 mm−1 s−1, with chemical properties, rather than shell thickness, dictating magnetic dephasing and enabling reliable
Pelayo García‐Acevedo   +6 more
wiley   +1 more source

Machine Learning on Systematically Curated Data Reveals Key Determinants of Magnetic Hyperthermia Performance

open access: yesSmall, EarlyView.
This study presents a machine‐learning (ML) framework to predict the specific absorption rate (SAR) of superparamagnetic iron oxide nanoparticles (SPIONs) for magnetic hyperthermia. A curated dataset comprising 30 intrinsic and extrinsic features revealed strong nonlinear dependencies.
Edgar Régulo Vega‐Carrasco   +5 more
wiley   +1 more source

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