Independent model study · 100 L to 20,000 L

Scale secreted dairy protein without moving the bottleneck downstream

Test whether higher titer creates more accepted powder or only overloads biomass removal, UF/DF, evaporation and drying.
Scale secreted dairy protein without moving the bottleneck downstream in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
MediaK. phaffiiBiomass removalPolish filterUF/DFConcentrateDry

Decision model

A bounded question with a complete plant consequence.

Decision

Choose the next scale-up intervention across biology, oxygen/heat transfer, primary recovery, membrane area and dryer capacity.

System boundary

Media and seed through fed-batch fermentation, biomass removal, polishing, UF concentration, diafiltration, optional evaporation, drying, packaging, CIP and wastewater.

Governing structure

Equations and accounting rules

01Dynamic biomass, substrate, secreted-product and volume balances
02OUR ≤ kLa(C* − CL)V and generated heat ≤ removed heat
03UF concentration factor = feed volume / retentate volume
04Dryer duty closes inlet/outlet water and exhaust humidity
Scenario set

Base, alternative and stress cases

  • 100 L reference to illustrative 20,000 L
  • Constant kLa versus constant P/V
  • +30% titer and 25% UF flux decay
  • Extra membrane or dryer capacity

Engineering brief

Model the complete decision, not an isolated unit operation.

The FDA public record for Remilk states that β-lactoglobulin is secreted into the fermentation medium, biomass is removed, the product is concentrated with UF/DF, then dried and packaged.

The 100 L and 20,000 L cases are illustrative Acatian scales, not disclosed Remilk vessel sizes. Titer, flux, recovery, geometry and dryer design remain labelled assumptions.

01 · Model basis

What the Acatian model needs to resolve

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

Inputs

Data

Growth, secretion, feed and OUR parameters

Evidence

Vessel geometry, kLa, P/V and cooling

Plant

Filter/UF flux, rejection and fouling

Basis

Pre-dryer solids, powder recovery and moisture

Mechanisms

Balance

Dynamic biomass, substrate, secreted-product and volume balances

Model

OUR ≤ kLa(C* − CL)V and generated heat ≤ removed heat

System

UF concentration factor = feed volume / retentate volume

Time

Dryer duty closes inlet/outlet water and exhaust humidity

Constraints

Limit

OTR, cooling, mixing and working volume

Risk

Solids loading and filter area

Capacity

UF flux decay and diafiltration volume

Gate

Evaporation and dryer water-removal rate

Outputs

Result

Accepted protein kg/year

Decision

OTR/heat and scale-up margin

Plant

Membrane area/hours and water removed

Value

Bottleneck transition, COGS and utility demand

02 · Acatian workflow

Build it in six controlled steps

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

    Declare scale geometry and data provenance.

  2. 02

    Fit transparent fermentation dynamics.

  3. 03

    Test oxygen, heat and mixing criteria.

  4. 04

    Pass harvest state into filtration and UF/DF.

  5. 05

    Schedule concentration, drying and CIP.

  6. 06

    Compare accepted powder and bottleneck movement.

03 · Decisions

Questions the model should answer

Does a titer gain survive downstream?

Which scale criterion is binding?

How much membrane and dryer capacity is needed?

What measurement removes the largest uncertainty?

04 · Evidence boundary

Validate before the result carries weight

Validation

Require C/N/water closure, timestep independence, representative filtration/UF data, final composition and independent scale confirmation.

Limitations

This is precision-fermentation dairy protein, not cultivated meat. It does not disclose a Remilk recipe, actual scale, plant result or regulatory conclusion outside the cited record.

Public evidence

What the company context supports—and what it does not.

Sources establish the public process architecture. They do not reveal private operating parameters, site performance or an Acatian relationship.
  1. FDA — GRN 1056 response letterPublic secretion, filtration, UF/DF, drying and packaging sequence.
  2. FDA — GRN 1056 inventoryNotifier, organism and intended-use context.

Frequently asked questions

Practical modelling questions

Is this the named organisation's real plant model?

No. It is an independent hypothetical Acatian study based only on the cited public process architecture. It claims no affiliation, endorsement, deployment, confidential data or actual plant performance.

Where do the numerical inputs come from?

Every input must be marked as a public fact, literature estimate, transparent engineering assumption or authorised customer input. The public article does not invent private operating values.

Can the model be calibrated to a real facility?

Yes, when the operator supplies authorised process, equipment, schedule and utility evidence and agrees the intended use, acceptance criteria and validation plan.

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.