Volumetric Scalability of Microfluidic and Semi-Batch Silk Nanoprecipitation Methods

• Main Authors: Matthew, S.A.L (Author), Perrie, Y. (Author), Rezwan, R. (Author), Seib, F.P (Author)
• Format: Article
• Language: English
• Published: NLM (Medline) 2022
• Subjects: chemistry; fibroin; Fibroins; human; Humans; microfluidics; Microfluidics; nanoparticle; Nanoparticles; nanoprecipitation; reproducibility; Reproducibility of Results; scalable manufacture; semi-batch; silk; Silk; silk fibroin
• Online Access: View Fulltext in Publisher

 Silk fibroin nanoprecipitation by organic desolvation in semi-batch and microfluidic formats provides promising bottom-up routes for manufacturing narrow polydispersity, spherical silk nanoparticles. The translation of silk nanoparticle production to pilot, clinical, and industrial scales can be aided through insight into the property drifts incited by nanoprecipitation scale-up and the identification of critical process parameters to maintain throughout scaling. Here, we report the reproducibility of silk nanoprecipitation on volumetric scale-up in low-shear, semi-batch systems and estimate the reproducibility of chip parallelization for volumetric scale-up in a high shear, staggered herringbone micromixer. We showed that silk precursor feeds processed in an unstirred semi-batch system (mixing time > 120 s) displayed significant changes in the nanoparticle physicochemical and crystalline properties following a 12-fold increase in volumetric scale between 1.8 and 21.9 mL while the physicochemical properties stayed constant following a further 6-fold increase in scale to 138 mL. The nanoparticle physicochemical properties showed greater reproducibility after a 6-fold volumetric scale-up when using lower mixing times of greater similarity (8.4 s and 29.4 s) with active stirring at 400 rpm, indicating that the bulk mixing time and average shear rate should be maintained during volumetric scale-up. Conversely, microfluidic manufacture showed high between-batch repeatability and between-chip reproducibility across four participants and microfluidic chips, thereby strengthening chip parallelization as a production strategy for silk nanoparticles at pilot, clinical, and industrial scales.