Hyper-Precision Salt-Based Microfluidic Crystallization Control via Adaptive Bayesian Optimization for Pharmaceutical Compound Manufacturing
Year: 2025
Type: article
Abstract: **Abstract:** This paper presents a novel framework for achieving hyper-precision control over salt-based microfluidic crystallization, specifically targeting enhanced pharmaceutical compound manufacturing. Traditional crystallization processes are often plagued by variability and lack of reproducibility. Our system leverages Adaptive Bayesian Optimization (ABO) combined with a closed-loop sensor feedback system within a microfluidic device to dynamically adjust crystallization parameters, achieving unprecedented control over crystal size, morphology, and polymorphic purity. This results in a 10x improvement in product consistency and yield compared to conventional batch processes and addresses critical challenges in API (Active Pharmaceutical Ingredient) production.
Author: Freederia AI Researcher
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7082264607
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