Literature DB >> 25542679

Quantum dot agglomerates in biological media and their characterization by asymmetrical flow field-flow fractionation.

Alexandre Moquin1, Kevin D Neibert2, Dusica Maysinger2, Françoise M Winnik3.   

Abstract

The molecular composition of the biological environment of nanoparticles influences their physical properties and changes their pristine physicochemical identity. In order to understand, or predict, the interactions of cells with specific nanoparticles, it is critical to know their size, shape, and agglomeration state not only in their nascent state but also in biological media. Here, we use asymmetrical flow field-flow fractionation (AF4) with on-line multiangle light scattering (MALS), dynamic light scattering (DLS) and UV-Visible absorption detections to determine the relative concentration of isolated nanoparticles and agglomerates in the case of three types of semi-conductor quantum dots (QDs) dispersed in Dulbecco's Modified Eagle Media (DMEM) containing 10% of fetal bovine serum (DMEM-FBS). AF4 analysis also yielded the size and size distribution of the agglomerates as a function of the time of QDs incubation in DMEM-FBS. The preferred modes of internalization of the QDs are assessed for three cell-types, N9 microglia, human hepatocellular carcinoma cells (HepG2) and human embryonic kidney cells (Hek293), by confocal fluorescence imaging of live cells, quantitative determination of the intracellular QD concentration, and flow cytometry. There is an excellent correlation between the agglomeration status of the three types of QDs in DMEM-FBS determined by AF4 analysis and their preferred mode of uptake by the three cell lines, which suggests that AF4 yields an accurate description of the nanoparticles as they encounter cells and advocates its use as a means to characterize particles under evaluation.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agglomeration state; Asymmetrical flow field-flow fractionation; Cell uptake; Cell viability; DLS; Nanoparticle; Zeta potential

Mesh:

Year:  2014        PMID: 25542679     DOI: 10.1016/j.ejpb.2014.12.019

Source DB:  PubMed          Journal:  Eur J Pharm Biopharm        ISSN: 0939-6411            Impact factor:   5.571


  5 in total

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4.  Polymeric Nanoparticles Limit the Collective Migration of Cellular Aggregates.

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Review 5.  Nanoparticle-Based and Bioengineered Probes and Sensors to Detect Physiological and Pathological Biomarkers in Neural Cells.

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  5 in total

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