Kinetics
Biomass, substrate, product, oxygen, carbon dioxide, maintenance, inhibition, by-products, and variable yields.
Fermentation process modelling
Fermentation process modelling for scale-up, recovery, TEA and LCA.
Evaluate precision fermentation, enzymes, food ingredients, biomass, and industrial biotechnology from raw-material preparation through seed, production, recovery, concentration, drying, utilities, recycle, wastewater, TEA, and LCA.
Scale-up
OUR/OTR, kLa, power per volume, tip speed, gas flow, pressure, heat removal, viscosity, foam, and working volume.
DSP route
Cell removal, disruption, extraction, membrane steps, chromatography, evaporation, crystallization, and drying.
Economics
Feedstock and media, productivity, recovery yield, energy, wastewater, labor, utilization, CAPEX, and uncertainty.
Industrial fermentation model
Resolve the coupled biology, transfer limits, recovery train, and factory load.
Fed-batch process simulation becomes useful when the feed policy, oxygen and heat margins, rheology, broth composition, recovery route, equipment calendar, and cost basis are solved over the same batch trajectory.Dynamic reactor model
Represent biomass, substrate, nitrogen, product, by-products, dissolved oxygen and carbon dioxide with Monod, inhibition, maintenance, yield, decay, gas-liquid transfer, evaporation, and energy-balance terms appropriate to the organism. Feed concentration and rate, induction, pH control, antifoam, gas composition, pressure, agitation, and cooling limits must be time-dependent inputs.
Scale and recovery evidence
Anchor working volume, vessel geometry, impellers, sparger, kLa, power, mixing, viscosity, OUR, heat-transfer area, coolant conditions, foam allowance, exhaust capacity, harvest window, solids loading, filter or centrifuge capacity, extraction or membrane performance, concentration, crystallization, and drying to measured data or qualified sources.
Decision outputs
Acatian exposes limiting time intervals, OTR and heat margins, substrate and feed gradients, yield and productivity, annual batches, downstream queues, utility peaks, raw-material and media burden, recovery losses, wastewater strength, CAPEX and OPEX intervals, environmental inventory, sensitivity rankings, and the measurements needed to reduce uncertainty.