Volume Phase Transition of Thermoresponsive Microgels Scrutinized by Dynamic Light Scattering and Turbidity: Correlations Depend on Microgel Homogeneity

被引:3
|
作者
Otten, Marius [1 ]
Hildebrandt, Marco [1 ]
Pfeffing, Ben [1 ]
Voigt, Victoria Carina [1 ]
Scheffold, Frank [2 ]
Hellweg, Thomas [3 ]
Karg, Matthias [1 ]
机构
[1] Heinrich Heine Univ Dusseldorf, Inst Phys Chem Kolloide & Nanoopt 1, D-40225 Dusseldorf, Germany
[2] Univ Fribourg, Dept Chem, CH-1700 Fribourg, Switzerland
[3] Univ Bielefeld, Fac Chem Phys & Biophys Chem, D-33615 Bielefeld, Germany
基金
瑞士国家科学基金会; 美国国家科学基金会;
关键词
SMALL-ANGLE NEUTRON; STRUCTURAL-CHANGES; SILICA SPHERES; PARTICLES; BEHAVIOR; COLLOIDS;
D O I
10.1021/acs.langmuir.4c01344
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Thermoresponsive microgels experience a volume phase transition triggered by temperature changes, a phenomenon often analyzed using dynamic light scattering to observe overall size alterations via the diffusion coefficient. However, local structural changes are typically assessed using more intricate and expensive techniques like small-angle neutron or X-ray scattering. In our research, we investigate the volume phase transition of poly-N-isopropylacrylamide (PNIPAM)-based microgels by employing a combination of temperature-dependent dynamic light scattering and simpler, faster, and more efficient attenuation measurements. We utilize attenuation at a fixed wavelength as a direct measure of dispersion turbidity, linking the absolute changes in hydrodynamic radius to the absolute changes in turbidity. This approach allows us to compare "classical" PNIPAM microgels from precipitation polymerization, charged copolymer microgels from precipitation copolymerization, and core-shell microgels from seeded precipitation polymerization. Our study includes a systematic analysis and comparison of 30 different microgels. By directly comparing data from dynamic light scattering and attenuation spectroscopy, we gain insights into structural heterogeneity and deviations from the established fuzzy sphere morphology. Furthermore, we demonstrate how turbidity data can be converted to swelling curves.
引用
收藏
页码:14515 / 14526
页数:12
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