MULTIMAT: A multiscale approach towards mesostructured porous material design

Institutions
  • Department of Chemistry
Publications
    Xu, Xufeng; Cölfen, Helmut (2019): Binary colloidal nanoparticles with a large size ratio in analytical ultracentrifugation ChemPhysChem. 2019, 20(14), pp. 1799-1803. ISSN 1439-4235. eISSN 1439-7641. Available under: doi: 10.1002/cphc.201900299

Binary colloidal nanoparticles with a large size ratio in analytical ultracentrifugation

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Sedimenting colloidal particles may feel surprisingly strong buoyancy in a mixture with other particles of a considerably larger size. In this paper we investigated the buoyancy of colloidal particles in a concentrated binary suspension in situ in a centrifugal field. By dispersing two different fluorescence labeled silica nanoparticles with a large size ratio (90 nm and 30 nm, size ratio = 3) in a refractive index matching solvent, we used a multi-wavelength analytical ultracentrifuge to in-situ measure the concentration gradients of both particles. The concentration of 90 nm silica nanoparticles was used to calculate the effective solvent density for the 30 nm silica nanoparticles. Then the Boltzmann equation for a sedimentation equilibrium concentration gradient with locally varying effective solvent density was used to fit the concentration gradient of 30 nm silica nanoparticles, which describes the experimental result well. This finding proves the validity of effective buoyancy in colloidal mixtures and provides a good model to study sedimenting polydisperse colloids.

Origin (projects)

  Xu, Xufeng; Franke, Tina; Schilling, Kristian; Sommerdijk, Nico A. J. M.; Cölfen, Helmut (2019): Binary Colloidal Nanoparticle Concentration Gradients in a Centrifugal Field at High Concentration Nano Letters. 2019, 19(2), pp. 1136-1142. ISSN 1530-6984. eISSN 1530-6992. Available under: doi: 10.1021/acs.nanolett.8b04496

Binary Colloidal Nanoparticle Concentration Gradients in a Centrifugal Field at High Concentration

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Binary colloidal nanoparticles have been found to form different types of crystalline phases at varied radial positions in a centrifugal field by Chen et al (ACS nano 2015, 9, 6944-50). The variety of binary phase behaviors resulted from the two different nanoparticle concentration gradients but to date the gradients can only be empirically controlled. For the first time, we are able to measure, fit and simulate binary hard sphere colloidal nanoparticle concentration gradients at high particle concentration up to 30 vol%, which enables tailor-made gradients in a centrifugal field. By this means, a continuous range of binary particle concentration ratios can be accessed in one single experiment to obtain an extended phase diagram. By dispersing two differently sized silica nanoparticles labeled with two different fluorescence dyes in a refractive index matching solvent, we can use a Multi-Wavelength Analytical Ultracentrifuge (MWL-AUC) to measure the individual concentration gradient for each particle size in sedimentation-diffusion equilibrium. The influence of the remaining slight turbidity at high concentration can be corrected using the MWL spectra from the AUC data. We also show that the experimental concentration gradients can be fitted using a non-interacting non-ideal sedimentation model. By using these fitted parameters, we are able to simulate nanoparticle concentration gradients, which agreed with the subsequent experiments at a high concentration of 10 vol% and thus allowed for the simulation of binary concentration gradients of hard sphere nanoparticles in preparative ultracentrifuges (PUC). Finally we demonstrated that by simulating the concentration gradients in PUC, a continuous and extended binary nanoparticle phase diagram can be obtained by simply studying the structure evolution along the centrifugal field for one single sample instead of a large number of experiments with discrete compositions in conventional studies.

Origin (projects)

Funding sources
Name Finanzierungstyp Kategorie Project no.
Europäische Union third-party funds research funding program 723/19
Further information
Period: 01.07.2019 – 29.02.2020