Particle size distribution design of limited agglomeration via geometric morphology in erythritol crystallization--颗粒学报PARTICUOLOGY

Li, M., Zhang, S., Wang, J., Li, J., Zhao, W., Zhang, L., . . . Gong, J. (2024). Particle size distribution design of limited agglomeration via geometric morphology in erythritol crystallization. Particuology, 94, 158-172. https://doi.org/10.1016/j.partic.2024.07.017

Particle size distribution design of limited agglomeration via geometric morphology in erythritol crystallization

Mingxuan Li^{a 1}, Suoqing Zhang^{a 1}, Jiansong Wang^b, Jiahui Li^a, Wei Zhao^c, Leida Zhang^c, Mingyang Chen^{a b *}, Dandan Han^a *, Junbo Gong^{a b d}

a State Key Laboratory of Chemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China
b Institute of Shaoxing, Tianjin University, Zhejiang, 312300, China
c Shandong Fuyang Biotechnology Co., Ltd., Shandong, 253100, China
d Haihe Laboratory of Sustainable Chemical Transformations, Tianjin, 300192, China

10.1016/j.partic.2024.07.017

Volume 94, November 2024, Pages 158-172

Received 21 May 2024, Revised 22 July 2024, Accepted 24 July 2024, Available online 8 August 2024, Version of Record 16 August 2024.

E-mail: chenmingyang@tju.edu.cn; handandan@tju.edu.cn

Highlights

• Different from drugs, sugar and salt crystallization occurs limited agglomeration.

• There is a correlation between erythritol agglomeration morphology and size.

• Erythritol size was accurately designed by fully considering geometric morphology.

Abstract

Regarding sugar and salt crystallization with large single crystals, the agglomerate thermodynamics and geometric morphologies, not the dynamics, dominate the particle size distribution (PSD). To consider this issue, a PSD design model is proposed for limited large crystal agglomeration. In this model, the agglomeration thermodynamic criticality is determined by estimating the adhesion and dispersion forces between single crystals. The geometric agglomerate morphologies are described by corresponding single crystal units stacking with porosity. By seed well-controlled of population, the key parameters of PSD (D01, D50 and D99) are precisely designed. For erythritol, the model design accuracies are 92%–99% in the 1.2 L and 10 L crystallizers, indicating that it can design PSD at various crystallization scales. Concerning the general research attention to microcrystal agglomeration kinetics (mostly active pharmaceutical ingredients), this model effectively guides the sugar and salt PSD design with limited large crystal agglomeration.

Graphical abstract

Keywords

Particle size distribution design; Agglomeration; Crystal geometric morphology; Mathematic model; Erythritol

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