Literature DB >> 28974097

Pitfalls in Size Characterization of Soft Particles by Dynamic Light Scattering Online Coupled to Asymmetrical Flow Field-Flow Fractionation.

Simona Sitar1, Valerija Vezočnik2, Peter Maček2, Ksenija Kogej3, David Pahovnik1, Ema Žagar1.   

Abstract

An asymmetrical flow field-flow fractionation (AF4) technique coupled to a multiangle light scattering (MALS) detector with an embedded dynamic light scattering (DLS) module was introduced to study the size characteristics and shape of soft particles of various size and type: polystyrene nanosphere size standards, lipid droplets (LDs), and large unilamellar vesicles (LUVs). A range of flow velocities through the LS detector, at which accurate hydrodynamic size can be extracted from the DLS in flow mode, was studied since the particles subjected to a longitudinal flow exhibit not only the Brownian motion due to diffusion but also the translational movement. In addition, the impact of the longitudinal flow velocity on the shape of the artificial LUV of two different sizes and two different compositions was studied by MALS. For comparison, the conventional batch DLS and static light scattering (SLS) experiments without prior sample separation by size were performed. From a combination of batch and flow light scattering results, we concluded that the passage flow velocities at the detector used in this study, 0.2, 0.5, and 1 mL/min, have no significant impact on the shape of spherical vesicles; however, the flow DLS experiments give accurate hydrodynamic radius (Rh) only at the lowest investigated passage flow rate at the detector (0.2 mL/min). With increasing rate of passage flow at the DLS detector, the error in the accuracy of the Rh determination rapidly increases. The error in Rh depends solely on the detector flow rate and particle size but not on the type of the soft particle.

Entities:  

Year:  2017        PMID: 28974097     DOI: 10.1021/acs.analchem.7b03251

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  7 in total

1.  Asymmetrical Flow Field Flow Fractionation Coupled to Nanoparticle Tracking Analysis for Rapid Online Characterization of Nanomaterials.

Authors:  Gary Brent Adkins; Erica Sun; Roxana Coreas; Wenwan Zhong
Journal:  Anal Chem       Date:  2020-05-04       Impact factor: 6.986

2.  Physical characterization of liposomal drug formulations using multi-detector asymmetrical-flow field flow fractionation.

Authors:  J Parot; F Caputo; D Mehn; V A Hackley; L Calzolai
Journal:  J Control Release       Date:  2020-01-28       Impact factor: 9.776

3.  Understanding the Phase and Morphological Behavior of Dispersions of Synergistic Dual-Stimuli-Responsive Poly(N-isopropylacrylamide) Nanogels.

Authors:  Adam Town; Edyta Niezabitowska; Janine Kavanagh; Michael Barrow; Victoria R Kearns; Esther García-Tuñón; Tom O McDonald
Journal:  J Phys Chem B       Date:  2019-07-11       Impact factor: 2.991

Review 4.  Asymmetric flow field-flow fractionation as a multifunctional technique for the characterization of polymeric nanocarriers.

Authors:  Federico Quattrini; Germán Berrecoso; José Crecente-Campo; María José Alonso
Journal:  Drug Deliv Transl Res       Date:  2021-01-31       Impact factor: 4.617

5.  Enrichment of plasma extracellular vesicles for reliable quantification of their size and concentration for biomarker discovery.

Authors:  Marija Holcar; Jana Ferdin; Simona Sitar; Magda Tušek-Žnidarič; Vita Dolžan; Ana Plemenitaš; Ema Žagar; Metka Lenassi
Journal:  Sci Rep       Date:  2020-12-07       Impact factor: 4.379

6.  Insights into the internal structures of nanogels using a versatile asymmetric-flow field-flow fractionation method.

Authors:  Edyta Niezabitowska; Adam R Town; Bassem Sabagh; Marissa D Morales Moctezuma; Victoria R Kearns; Sebastian G Spain; Steve P Rannard; Tom O McDonald
Journal:  Nanoscale Adv       Date:  2020-08-18

Review 7.  Methods for Lipid Droplet Biophysical Characterization in Flaviviridae Infections.

Authors:  Ana S Martins; Ivo C Martins; Nuno C Santos
Journal:  Front Microbiol       Date:  2018-08-21       Impact factor: 5.640

  7 in total

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