Independent model study · fermentation sweetener

Find whether titer, recovery or lower-carbon concentration matters most

Connect yeast-fermentation performance to purification recovery, water removal, cost and cradle-to-gate carbon on one accepted-product basis.
Find whether titer, recovery or lower-carbon concentration matters most in the Acatian flowsheet workspace
One flowsheet connects assumptions, balances, equipment, time, economics and evidence.
SugarYeast fermentationInactivationClarificationConcentrationPurificationFinish

Decision model

A bounded question with a complete plant consequence.

Decision

Prioritise higher fermentation titer, greater downstream recovery, membrane pre-concentration, heat recovery or lower-carbon steam.

System boundary

Sugar preparation through fermentation, inactivation, clarification, concentration, purification/crystallisation abstraction, drying, biomass and wastewater.

Governing structure

Equations and accounting rules

01Product = substrate × YP/S × fermentation conversion
02OTR = kLa(C* − CL) ≥ OUR
03Overall recovery = product of step recoveries
04Carbon intensity = sum(activity × factor) / accepted kg
Scenario set

Base, alternative and stress cases

  • +25% titer
  • +5 recovery percentage points
  • Membrane pre-concentration and heat recovery
  • Low-carbon steam and energy-price stress

Engineering brief

Model the complete decision, not an isolated unit operation.

dsm-firmenich and Cargill publicly describe EverSweet as fermentation-derived, while regulatory material supports a generic cell-inactivation, removal and purification architecture for Reb M.

This model calculates its own transparent hypothetical inventory. It does not reproduce a proprietary strain, recipe or first-party LCA and does not treat company-reported comparisons as independent Acatian results.

01 · Model basis

What the Acatian model needs to resolve

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

Inputs

Data

Sugar assay, yield, titer and OUR

Evidence

Cell solids and clarification flux

Plant

Purification recovery, purity and water removal

Basis

Utility cost and traceable emission factors

Mechanisms

Balance

Product = substrate × YP/S × fermentation conversion

Model

OTR = kLa(C* − CL) ≥ OUR

System

Overall recovery = product of step recoveries

Time

Carbon intensity = sum(activity × factor) / accepted kg

Constraints

Limit

Oxygen/cooling and broth solids

Risk

Clarification and concentration capacity

Capacity

Purity, crystallisation and drying

Gate

Equivalent LCA boundary and factor quality

Outputs

Result

Accepted kg and overall recovery

Decision

Sugar, water and energy intensity

Plant

Residual COD and equipment hours

Value

Cost/carbon contribution and break-even target

02 · Acatian workflow

Build it in six controlled steps

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

    Declare product and inventory boundaries.

  2. 02

    Build fermentation mass and oxygen balances.

  3. 03

    Add cell removal and concentration.

  4. 04

    Parameterise purification and finishing.

  5. 05

    Attach cost and emission-factor provenance.

  6. 06

    Rank interventions under uncertainty.

03 · Decisions

Questions the model should answer

Does titer or recovery create more accepted product?

Which unit dominates water removal?

When does low-carbon steam beat yield work?

Which unknown needs a pilot measurement?

04 · Evidence boundary

Validate before the result carries weight

Validation

Verify component closure, titer and OUR trajectories, recovery, purity, energy and accepted-product denominator against authorised runs.

Limitations

No Avansya production strain, yield, equipment or commercial footprint is represented. Comparisons require equivalent system boundaries and sourced factors.

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. dsm-firmenich — Taste, Texture & HealthFirst-party fermentation and carbon-footprint context.
  2. Cargill — EverSweet sciencePublic sugar-fed yeast, yeast removal, concentration and purification description.

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.