Protein crystallization in a droplet-based microfluidic device: Hydrodynamic analysis and study of the phase behaviour

This work reports a cheap and easy-to-use droplet-based microfluidic platform for the study of protein crystallization, offering the possibility to characterize the protein phase behaviour, and the effect of volumetric and interfacial phenomena on the crystallization mechanism. We conducted a parametric study supported by comparison with literature data, to quantify the influence of the droplet volume on the thermodynamic (solubility data) and kinetic (metastability data) parameters, using lysozyme as a model protein. Experiments were performed in a tubular microreactor at low Capillary numbers (4.1 × 10-5 2.3 × 10-4), resulting in a broad range of droplet sizes. The droplet formation in a flow-focussing geometry was also numerically studied using CFD and a correlation for the droplet size was developed. Subsequently, the lysozyme phase behaviour and the possible mechanisms associated with the nucleation process were evaluated. While crystallization in small volume droplets is usually characterized by a low nucleation probability and correspondingly low number of crystals, we did not observe this in our experiments. A potential explanation for this is the complex and stochastic mechanism of nucleation, including the competition between monomers and oligomers in solution.S.K. acknowledges funding from the European Research Council under the ERC Starting Grant Agreement no. 677169–MicroParticleControl. F.C acknowledges FCT (postdoctoral fellowship [SFRH/BPD/96132/2013]) under the project POCI-01-0145-FEDER-006939 (Laboratory for Process Engineering, Environment, Biotechnology and Energy – UID/EQU/00511/2013) funded by the European Regional Development Fund (ERDF), through COMPETE2020 – Programa Operacional Competitividade e Internacionalização (POCI) and by national funds, through FCT – Fundação para a Ciência e a Tecnologia. We thank OpenFoam developers and contributors for the use of their codes, especially Kevin van As from the Transport Phenomena Group (TU Delft). We also thank Vahid Kazemi Kamyab, Milad Mottaghi and Khurram Shazad for all the suggestions and discussions on the simulations.info:eu-repo/semantics/publishedVersio