Search results for "Hybrid nanoparticles"

showing 6 items of 6 documents

Absorption Properties of Metal–Semiconductor Hybrid Nanoparticles

2011

The optical response of hybrid metal-semiconductor nanoparticles exhibits different behaviors due to the proximity between the disparate materials. For some hybrid systems, such as CdS-Au matchstick-shaped hybrids, the particles essentially retain the optical properties of their original components, with minor changes. Other systems, such as CdSe-Au dumbbell-shaped nanoparticles, exhibit significant change in the optical properties due to strong coupling between the two materials. Here, we study the absorption of these hybrids by comparing experimental results with simulations using the discrete dipole approximation method (DDA) employing dielectric functions of the bare components as input…

Optics and PhotonicsMaterials sciencemetalJanus particlesMetal NanoparticlesPhysics::OpticsGeneral Physics and AstronomyNanoparticleNanotechnologyJanus particlesDielectricSulfidesDiscrete dipole approximationAbsorptionotpical absorption; metal; semiconductor; nanoparticleshybrid nanoparticlesplasmonCondensed Matter::Materials ScienceMicroscopy Electron TransmissionQuantum DotsCadmium CompoundsElectrochemistryNanotechnologyComputer SimulationGeneral Materials ScienceAbsorption (electromagnetic radiation)PlasmonexcitonGeneral Engineeringotpical absorptionsemiconductorCondensed Matter::Mesoscopic Systems and Quantum Hall EffectSemiconductorsMetalsQuantum dotChemical physicsHybrid systemnanoparticlesGoldDDAACS Nano
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Carbon Nanodots as Functional Excipient to Develop Highly Stable and Smart PLGA Nanoparticles Useful in Cancer Theranostics

2020

Theranostic systems have attracted considerable attention for their multifunctional approach to cancer. Among these, carbon nanodots (CDs) emerged as luminescent nanomaterials due to their exceptional chemical properties, synthetic ease, biocompatibility, and for their photothermal and fluorescent properties useful in cancer photothermal therapy. However, premature renal excretion due to the small size of these particles limits their biomedical application. To overcome these limitations, here, hybrid poly(lactic-co-glycolic acid) (PLGA-CDs) nanoparticles with suitable size distribution and stability have been developed. CDs were decisive in the preparation of polymeric nanoparticles, not on…

Fluorescence-lifetime imaging microscopyphotothermal therapyBiocompatibilitylcsh:RS1-441Pharmaceutical ScienceExcipientNanoparticleNanotechnology02 engineering and technology010402 general chemistry01 natural sciencesArticleNanomaterialslcsh:Pharmacy and materia medicahybrid nanoparticleschemistry.chemical_compoundcarbon nanodotmedicinecarbon nanodotsViability assaycancer theranosticChemistryhybrid nanoparticlePLGAimagingPhotothermal therapy021001 nanoscience & nanotechnology0104 chemical sciencesPLGASettore CHIM/09 - Farmaceutico Tecnologico Applicativocancer theranostics0210 nano-technologymedicine.drugPharmaceutics
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Hybrid Biopolymer and Lipid Nanoparticles with Improved Transfection Efficacy for mRNA

2020

Cells 9(9), 2034 (1-19) (2020). doi:10.3390/cells9092034

0301 basic medicine570small angle scatteringNanoparticlecationic lipid02 engineering and technologyengineering.materialTransfectionArticleCell LineFatty Acids Monounsaturated03 medical and health sciencesMiceBiopolymersddc:570AnimalsHumansRNA MessengerParticle Sizelcsh:QH301-705.5chemistry.chemical_classificationMice Inbred BALB Ccancer immunotherapySmall-angle X-ray scatteringHeparinOptical ImagingCationic polymerizationGeneral MedicinePolymerTransfection021001 nanoscience & nanotechnologyvaccinationSmall-angle neutron scatteringLipidslipid-polymer hybrid nanoparticlesQuaternary Ammonium Compounds030104 developmental biologychemistrylcsh:Biology (General)cationic polymerBiophysicsengineeringNanoparticlesRNAFemalePolymer blendBiopolymer0210 nano-technologyCovid-19
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Gated mesoporous silica nanoparticles for the controlled delivery of drugs in cancer cells

2015

In recent years, mesoporous silica nanoparticles (MSNs) have been used as effective supports for the development of controlled-release nanodevices that are able to act as multifunctional delivery platforms for the encapsulation of therapeutic agents, enhancing their bioavailability and overcoming common issues such as poor water solubility and poor stability of some drugs. In particular, redox-responsive delivery systems have attracted the attention of scientists because of the intracellular reductive environment related to a high concentration of glutathione (GSH). In this context, we describe herein the development of a GSH-responsive delivery system based on poly(ethylene glycol)- (PEG-)…

INGENIERIA DE LA CONSTRUCCIONCell SurvivalIntracellular SpaceNanoparticleNanotechnologyAntineoplastic AgentsCONTROLLED-RELEASETRIGGERED RELEASEPolyethylene Glycolschemistry.chemical_compoundINORGANIC NANOPARTICLESQUIMICA ORGANICASYSTEMSPEG ratioQUIMICA ANALITICAElectrochemistrymedicinePOLYMER HYBRID NANOPARTICLESGLUTATHIONEBIOQUIMICA Y BIOLOGIA MOLECULARHumansGeneral Materials ScienceDoxorubicinSpectroscopyDrug CarriersENHANCED PERMEABILITYQUIMICA INORGANICASurfaces and InterfacesGlutathioneIN-VITROMesoporous silicaCondensed Matter PhysicsSilicon DioxideControlled releaseGUEST MOLECULESBioavailabilityDrug LiberationchemistryDoxorubicinDelayed-Action PreparationsDrug DesignNanoparticlesPhenazinesSUPPORTSEthylene glycolOxidation-ReductionPorositymedicine.drugHeLa Cells
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Au38Q MBTR-K3

2020

Purpose The purpose of Au38Q MBTR-K3 is to test the scalability of a machine learning regression model when the number of observations and the number of features change. Background The Au38Q MBTR-K3 was created from a trajectory file regarding the density functional theory simulation of Au38Q hybrid nanoparticle performed by Juarez-Mosqueda et al. in their paper Ab initio molecular dynamics studies of Au38(SR)24 isomers under heating using the MBTR descriptor by Himanen et al. as presented in paper DScribe: Library of descriptors for machine learning in materials science. The MBTR was used with the default parameters for K=3 (angles between atoms) presented at the website of Dscribe version…

Many Body Tensor RepresentationMBTRHybrid nanoparticlesRegression
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Au38Q MBTR-K3

2020

Purpose The purpose of Au38Q MBTR-K3 is to test the scalability of a machine learning regression model when the number of observations and the number of features change. Background The Au38Q MBTR-K3 was created from a trajectory file regarding the density functional theory simulation of Au38Q hybrid nanoparticle performed by Juarez-Mosqueda et al. in their paper Ab initio molecular dynamics studies of Au38(SR)24 isomers under heating using the MBTR descriptor by Himanen et al. as presented in paper DScribe: Library of descriptors for machine learning in materials science. The MBTR was used with the default parameters for K=3 (angles between atoms) presented at the website of Dscribe vers…

Many Body Tensor RepresentationMBTRHybrid nanoparticlesRegression
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