Citric acid · industrial fermentation

How to model citric acid fermentation in Acatian

Relate morphology, oxygen demand and substrate conversion to broth handling, purification and crystallization capacity.
How to model citric acid fermentation in Acatian in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
Feed prepInoculumFermentationBiomass removalPurificationCrystallizationDrying

Engineering brief

Model the complete decision, not an isolated unit operation.

Industrial citric acid production links fungal fermentation to a recovery sequence with significant solid-liquid, water and energy duty. Acatian keeps yield, titer, batch time and recovery assumptions attached to the same flowsheet.

Morphology, trace nutrients, oxygen transfer and impurity formation affect both production and broth filterability. A decision model should surface those interactions instead of applying one overall yield.

01 · Model basis

What the Acatian model needs to resolve

Inputs, mechanisms, limits and outputs remain reviewable on one declared basis.

Inputs

Data

Carbon source composition and trace nutrients

Evidence

Growth, acid production, morphology and batch time

Plant

Aeration, agitation, heat and foam evidence

Basis

Filtration, purification, crystallization and drying data

Mechanisms

Balance

Substrate, biomass and product balances

Model

Dynamic oxygen and heat constraints

System

Biomass and impurity separation

Time

Solubility, mother liquor and crystal yield accounting

Constraints

Limit

Morphology and broth rheology

Risk

Oxygen transfer and cooling

Capacity

Filtration rate and impurity load

Gate

Crystallizer and dryer capacity

Outputs

Result

Citric acid yield, titer and productivity

Decision

Peak oxygen, heat and air demand

Plant

Recovery yield, recycle and waste

Value

Annual output and cost sensitivity

02 · Acatian workflow

Build it in six controlled steps

Each step creates a reviewable object, not a hidden spreadsheet assumption.
  1. 01

    Define raw-material and product assays.

  2. 02

    Calibrate production and morphology proxies.

  3. 03

    Evaluate transfer and cooling over time.

  4. 04

    Build filtration and purification steps.

  5. 05

    Close crystallization and drying balances.

  6. 06

    Schedule trains and test sensitivities.

03 · Decisions

Questions the model should answer

Which fermentation variable controls filterability?

Where does oxygen or heat constrain scale?

How much mother liquor should recycle?

Which yield improvement increases saleable crystals?

04 · Evidence boundary

Validate before the result carries weight

Validation

Use independent batches to verify titer, morphology proxy, gas demand, heat removal, filtration performance, crystal recovery and purity.

Limitations

Crystallization screening requires product-specific phase and impurity evidence before detailed design.

Frequently asked questions

Practical modelling questions

Can morphology effects be represented?

Yes, as measured or calibrated relationships to viscosity, oxygen demand and separation performance, with the evidence range stated.

Can crystallization be linked to fermentation impurities?

Yes. Impurity and mother-liquor assumptions can remain in the component ledger.

Can alternative carbon sources be compared?

Yes, with composition, pretreatment, conversion, price and variability kept explicit.

Related engineering guides

Continue through the connected model.

Bring one real process question

Build a model your technical team can inspect, challenge and improve.

Start with customer-owned data, explicit acceptance criteria and a clearly bounded engineering decision.