Stauch C, Hobbs C, Shmeliov A, Nicolosi V, Ballweg T, Luxenhofer R, Mandel K (2018)
Publication Type: Journal article
Publication year: 2018
Book Volume: 35
Article Number: 1800096
Journal Issue: 7
Colloidal molecules, or more general supraparticles, i.e., particles which are themselves assembled of smaller nanoparticles in a defined way, are known to be synthesizable via bottom-up assembly techniques in colloidal dispersion. The amount of synthesizable particles is mostly limited to milligrams. Herein, a bottom-up-programed, triggerable top-down process is reported to obtain core–satellite supraparticles, i.e., particles composed of a larger core particle surrounded by smaller satellite particles. The key is to prepare a nanostructured, microparticulate powder into which defined burst behavior is preprogramed. Once the system is mechanically triggered, it bursts into well-defined nanosized core–satellite supraparticles. Scale-up is easily feasible and several hundred grams per batch can be demonstrated. The product is a ready-to-use and flexibly processible powder. Upon simple mixing with a polymer, it disintegrates into the preprogramed core–satellite supraparticles, thus forming a highly sophisticated nanocomposite with the polymer matrix. A pure silica nanoparticle system and a silica–iron oxide nanoparticle hybrid system are presented to demonstrate the versatility of the approach. Enhanced mechanical and unexpected magneto-optical properties with the particle system are found. The disintegration of the microparticles into individual core–satellite colloidal supraparticles is confirmed via in situ liquid cell transmission electron microscopy.
APA:
Stauch, C., Hobbs, C., Shmeliov, A., Nicolosi, V., Ballweg, T., Luxenhofer, R., & Mandel, K. (2018). Colloidal Core–Satellite Supraparticles via Preprogramed Burst of Nanostructured Micro-Raspberry Particles. Particle & Particle Systems Characterization, 35(7). https://doi.org/10.1002/ppsc.201800096
MLA:
Stauch, Claudia, et al. "Colloidal Core–Satellite Supraparticles via Preprogramed Burst of Nanostructured Micro-Raspberry Particles." Particle & Particle Systems Characterization 35.7 (2018).
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