Potential of Small‐Angle Neutron Scattering for Evaluating Protein Locus within a Polymersome

Abstract: Post‐loading of polymersomes with different bio (macro) molecules has been successfully demonstrated, thus mimicking the diffusion processes through biological membranes. However, it is still an open issue the extent to which this diffusion process leads to transmembrane transportation, or rather encapsulation of cargo within the membrane. In this study, well‐established pH‐responsive and cross‐linked polymeric vesicles are studied. A pH‐controllable and stable membrane, as well as a hollow particle shape and membrane uniformity are confirmed using dynamic light scattering (DLS) and cryogenic‐transmission electron microscopy (Cryo‐TEM). Post‐loading with myoglobin (Mb) as a model enzyme is analyzed using multidetector asymmetrical flow field‐flow fractionation (AF4). Advanced analysis of conformational parameters allowed for the estimation of enzyme localization and the pH‐dependent loading efficiency thereof. Static light scattering coupled to AF4 is employed to successfully deliver information on the global size of the polymersomes (>50 nm). Furthermore, membrane structure and thickness, which are in the few nanometer range, can be successfully analyzed using small‐angle neutron scattering (SANS). Deuterated solvent as well as Mb deuteration for tuning the contrast are considered. Two different vesicle model fits, as well as Kratky–Porod interpretation confirm effective determination of vesicle core and membrane thickness and for evaluation of the membrane changes after post‐loading.

Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
Online-Ressource
Sprache
Englisch

Erschienen in
Potential of Small‐Angle Neutron Scattering for Evaluating Protein Locus within a Polymersome ; day:31 ; month:10 ; year:2022 ; extent:9
Macromolecular chemistry and physics ; (31.10.2022) (gesamt 9)

Urheber
Palinske, Max
Muza, Upenyu L.
Moreno, Silvia
Appelhans, Dietmar
Boye, Susanne
Schweins, Ralf
Lederer, Albena

DOI
10.1002/macp.202200300
URN
urn:nbn:de:101:1-2022110114074390208989
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 05:33 UTC

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