4.4 Article

Nucleation Rate Prediction of Curcumin Particles in Microfluidic-Assisted Nanoprecipitation

Journal

CHEMICAL ENGINEERING & TECHNOLOGY
Volume 44, Issue 1, Pages 174-182

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/ceat.202000360

Keywords

Computational fluid dynamics; Liquid antisolvent precipitation; Nanoparticles; Nuclation rate; Population balance model

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A hybrid computational model was developed to interpret the formation of curcumin particles via liquid antisolvent precipitation in three microchannel reactors with different confluence angles. The study found that the particles with the smallest diameters are observed right after the intersection of the three streams. Furthermore, the reactor with a larger confluence angle of 135 degrees exhibited higher population density due to the smaller size of the precipitated curcumin particles.
A hybrid computational model was developed to interpret the formation of curcumin particles via liquid antisolvent precipitation (LASP) in three microchannel reactors (MCRs) with different confluence angles. The computational fluid dynamics (CFD) model was numerically combined with a discretized population balance approach. The nucleation kinetics were computed using an expression obtained from the nucleation rate and supersaturation equation from previous experimental data. A quantitative comparison of the particle size distributions (PSDs) demonstrated that the particles with the smallest diameters are observed right after the intersection of the three streams. Besides, the large confluence angle of 135 degrees in the MCR presented higher population density as a result of the smaller size of the precipitated curcumin particles. These findings illustrate the efficient applicability of the hybrid model.

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