Technology

We explore strain resources and conduct metagenomic gene screening from extremophilic microorganisms and animal/plant intestinal microbes to build a diverse natural enzyme library. Combined with AI structural modeling, directed evolution, rational site-directed mutagenesis and CRISPR gene editing, we precisely optimize key enzyme properties including thermostability, acid/alkali resistance, protease degradation resistance and substrate specificity. Via codon optimization, promoter/signal peptide regulation and coordinated multi-gene expression, we modify mainstream chassis cell factories such as Bacillus subtilis, Pichia pastoris and Aspergillus niger to achieve efficient extracellular secretion and high-yield production of target enzymes. We also complete serial passage stability verification and biosafety assessment of engineered strains, laying a fundamental foundation for high enzymatic activity and consistent batch performance of products.

From lab-scale shake-flask process exploration and 50L/500L pilot validation to stable operation of hundred-ton industrial fermenters, we develop multiple process routes including fed-batch high-density submerged fermentation and solid-state fermentation, with precise control over core parameters such as dissolved oxygen, pH, temperature and carbon/nitrogen feeding. Computational Fluid Dynamics fluid simulation is applied to optimize stirring and aeration layouts, mitigating scale-up challenges like shear damage, uneven mass transfer and localized temperature rise. Supported by online biosensor monitoring, tail gas analysis and closed-loop control via data modeling, we deliver real-time early warnings of phage infection and microbial contamination, shorten fermentation cycles and reduce energy consumption, ensuring controllable enzyme activity and minimal batch variation during continuous production.