Results 241 to 250 of about 1,030,834 (343)

A Degradable Device for Sustainable Capillary Blood Sampling

open access: yesAdvanced Materials Technologies, EarlyView.
The device features a compostable 3D‐printed storage compartment for liquid blood collection and a degradable, poly(ɛ‐caprolactone)‐coated magnesium microneedle patch hidden within a suction cup. Manual compression deploys the MNs, creating small skin punctures, and the subsequent release of compression generates the negative pressure required for ...
Nicole Zoratto   +5 more
wiley   +1 more source

Quantifying Citrate Surface Ligands on Iron Oxide Nanoparticles with TGA, CHN Analysis, NMR, and RP-HPLC with UV Detection. [PDF]

open access: yesAnal Chem
Matiushkina A   +8 more
europepmc   +1 more source

A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission

open access: yesAdvanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell   +6 more
wiley   +1 more source

Label‐Free Characterization of Lipid Interfaces Using Plasmonic Gold Nanorods as Optically Active Nanosensors

open access: yesAdvanced Optical Materials, EarlyView.
A label‐free plasmonic nanosensor platform is presented based on single gold nanorods for the nanometric characterization of lipid interfaces. By correlating optical scattering signals with membrane packing and refractive index, this approach enables the detection of gel‐to‐fluid transitions in lipid interfaces, offering a robust, high‐resolution ...
Alfredo Casasnovas‐Melián   +12 more
wiley   +1 more source

Applications of QSPR and Machine Learning in Molecular Photonics

open access: yesAdvanced Optical Materials, EarlyView.
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak   +2 more
wiley   +1 more source

Complexation of [2.2]paracyclophane with β- and γ-cyclodextrins studied by HPLC and NMR

open access: yesOpen Chemistry, 2011
Dodziuk Helena   +3 more
doaj   +1 more source

Depletion, metabolism, and risk assessment of clopidol in broilers. [PDF]

open access: yesSci Rep
Jeong SH   +7 more
europepmc   +1 more source

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