Mar 20 – 23, 2023
Campus Garching
Europe/Berlin timezone

Short time diffusive properties in polydisperse solutions

Mar 21, 2023, 4:00 PM
Yards 4 - 6 (Fakultät für Maschinenwesen)

Yards 4 - 6

Fakultät für Maschinenwesen

Board: TU-018
Poster Health and Life Sciences Poster session TUESDAY


Christian Beck (Universität Tübingen)


In biological environments, proteins are exposed to polydisperse surrounding. The interaction of this environment is essential for a correct function of the cell and disfunctions may lead to diseases. To understand the diffusive properties of proteins in polydisperse environments, we performed several quasi-elastic neutron scattering (QENS) experiments. Changes in the probed short-time self-diffusion are important to understand, since they influence the long time diffusion, which is essential e.g. for transport mechanisms. By using different proteins in the presence of deuterated lysate, we systematically investigated the influence of volume fraction, tracer size as well as mixing ratio on the protein diffusive properties in a polydisperse surrounding. The previously investigated volume fraction dependence is not valid anymore but an additional influence of the radius is observed. While large particles are slowed down compared to a monodisperse solution with the same volume fraction, smaller proteins are accelerated. In case the protein radius is comparable with the averaged radius, no significant effects of the polydispersity on the diffusion are observed [1].
A further quantitative understanding on the polydispersity has been obtained from QENS spectra of solutions containing two proteins. With advanced analysis methods, the different diffusive contributions can be separated [2].
[1] J. Phys. Chem. Lett. 10 (2019) 1709
[2] J. Phys. Chem. B 126 (2022) 7400

Primary author

Christian Beck (Universität Tübingen)


Fajun Zhang (University of Tuebingen) Felix Roosen-Runge (U Malmö) Frank Schreiber (University of Tuebingen) Ilaria Mosca (Institut Laue-Langevin, University of Tuebingen) Olga Matsarskaia Tilo Seydel (Institut Max von Laue - Paul Langevin)

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