Knowledge Bioprocess and Biotechnology Education How are cells & enzymes represented in bioprocess simulations? Guide to Unconventional Solids
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Tech Team · LABPARK

Updated 1 month ago

How are cells & enzymes represented in bioprocess simulations? Guide to Unconventional Solids


In process simulation software, biological entities are not ordinary chemical compounds. They lack the standard molecular properties—like vapor pressure or critical temperature—that define conventional fluids and solids. Instead, they are modeled as unconventional solids or custom user-defined components. By specifying non-thermodynamic attribute parameters instead of a molecular structure, you can faithfully track their mass, slurry behavior, and reactivity without skewing vapor–liquid equilibrium calculations.

The central insight is straightforward: treat cells, bacteria, and enzymes as inert or reactive solids whose properties you define through practical attributes. This isolates them from phase equilibria while still capturing their role in material balances and downstream unit operations—exactly what pilot-plant simulations demand.

Why Biological Components Defy Conventional Modeling

The Missing Molecular Fingerprint

Standard process simulators rely on molecular structures to compute properties like boiling point, vapor pressure, and thermodynamic interactions.
Biological entities do not fit this mold.
Cells, bacteria, and immobilized enzymes have no single molecular formula.
Their behavior in a bioreactor is governed by biological activity, morphology, and water content—not by the van der Waals forces that dictate vapor–liquid equilibrium.

The Risk of Forcing a Pseudo-Compound

If you attempt to enter a bacterium as a heavy hydrocarbon or a generic solid, the software will try to estimate its vapor pressure or solubility from inaccurate molecular fingerprints.
The result is distorted phase behavior and misleading energy balances.
That distortion breaks the simulation’s reliability for pilot-scale design, where even small errors cascade into wrong equipment sizing or sterility assumptions.

The Unconventional Solids Approach

Defining What Really Matters

Simulators let you declare a component as an unconventional solid, meaning it does not participate in vapor–liquid equilibrium at all.
You then supply a set of user-defined attribute parameters—such as particle density, bulk density, particle size distribution, moisture content, ash content, or even biomass-specific activity.
These attributes are used solely for mass and energy tracking, slurry solids concentration, and, when needed, reaction stoichiometry.

How the Software Treats These Components

Once tagged as unconventional solids, these components flow through the flowsheet without interfering with the solver’s thermodynamic routines.
They ride along with the fluid phase—typically as a slurry or suspended solids—and are accounted for in overall and component mass balances.
Energy balances consider their sensible heat and, if reactive, the heat of reaction, but no vapor–phase fugacity is calculated.

Inert versus Reactive Solids

Biological components can be set as inert solids when you simply need to track biomass accumulation, harvesting, or waste streams.
When biological activity matters—like cell growth or enzymatic conversion—you define them as reactive solids. In that case, you couple them with a kinetic reaction set that consumes nutrients and generates product, while the solid itself is produced or degraded.
Even in reactive mode, the solid’s thermodynamic contribution is limited to heat capacity and mass; it never forces a VLE split.

The Role in Pilot-Plant Simulations

Mass Balance Closure Without Thermodynamic Noise

Pilot runs often revolve around verifying material balances, from seed train to harvest.
Unconventional solids let you track cell mass, product in the solid phase, and impurities with surgical precision.
Because no vapor pressure is computed, the simulator avoids spurious evaporative losses or fictitious phase splits that would obscure the real mass flows.

Slurry Handling and Downstream Unit Operations

Many bioprocesses involve filtration, centrifugation, or chromatography, where the solid load dictates performance.
The user-defined particle attributes feed directly into solid-liquid separation models—settling velocity, filter cake resistance—grounding the simulation in real physical parameters.
This allows you to design downstream equipment based on biomass characteristics rather than on hypothetical pseudo-compounds.

Seamless Integration with Reaction Kinetics

When you model a fed-batch fermentation, the cell mass is a product of the kinetic expression.
Defining it as an unconventional reactive solid means the simulator produces the biomass, updates the slurry density, and calculates the oxygen uptake heat without ever trying to guess the cell’s vapor pressure.
The result is a process model that mimics what operators see on the plant floor: changing biomass concentration, broth viscosity, and harvest timing.

Understanding the Trade-offs

Limited Intrinsic Biological Complexity

Unconventional solids capture a simplified picture—you define a few aggregate parameters rather than modeling the heterogeneity of a cell population.
Viability, metabolic state shifts, or morphology changes are not inherently described unless you program them through user-added logic or external scripts.
That simplification is often sufficient for process engineering, but it will not replace a dedicated biokinetic model for strain development.

Parameter Estimation Effort

The approach shifts the burden from “plug in a molecule” to “provide accurate attribute data.”
You must know the dry cell weight, particle density, moisture content, and possibly size distribution from lab measurements or literature.
Garbage in, garbage out applies: if you fudge these values, your mass balance and equipment sizing will be unreliable.

Potential Overlap with Liquid-Phase Components

If your process involves soluble enzymes, they are usually modeled as dissolved components in the liquid phase using pseudo-components, not as unconventional solids.
Immobilized enzymes or whole cells, however, fit the unconventional solid paradigm perfectly.
Choosing the wrong representation—solid for a dissolved species—can lead to incorrect phase partitioning.

Simulator-Specific Limitations

Not all software packages handle unconventional solids identically; some treat them as purely inert unless you link them to a dedicated bioreactor unit.
You may need to combine the unconventional solid definition with a custom unit operation or a rigorous CSTR model that supports solid-phase reactions.
Always verify your simulator’s capabilities before committing to a large pilot-plant model.

How to Apply This to Your Project

Choose your modeling strategy based on the primary goal of the simulation and the nature of your biological component.

  • If your primary focus is closing the overall mass balance in a pilot facility: Define cells or immobilized enzymes as unconventional inert solids with accurate moisture and density. This will give you a clean, thermodynamically neutral mass audit.
  • If your primary focus is to model fermentation kinetics and product formation: Use unconventional reactive solids linked to a kinetic reaction set. The simulator will generate biomass as a product, track its accumulation, and correctly account for the associated heat load.
  • If your primary focus is to design solid–liquid separation steps (centrifuge, filter, settler): Prioritize user-defined attributes like particle size distribution and bulk density. Feed these directly into the separator models to get realistic performance predictions.
  • If your primary focus is on an enzyme dissolved in the broth: Do not use unconventional solids. Instead, model the enzyme as a conventional liquid-phase pseudo-component with its own molecular weight and reaction role.

When you represent the biological world with the right engineering constructs, your pilot-plant simulation stops being a black box and becomes a trusted decision tool.

Summary Table:

Component Type Simulation Representation Key Parameters Needed Best For
Inert Cells/Bacteria Unconventional Inert Solid Particle density, moisture, size Mass balance, filtration & centrifugation
Reactive Cells/Bacteria Unconventional Reactive Solid Reaction kinetics, heat capacity Fermentation tracking, heat load
Immobilized Enzymes Unconventional Solid Density, biomass-specific activity Biocatalysis, solid-liquid separation
Soluble Enzymes Liquid-Phase Pseudo-Component Molecular weight, reaction role Dissolved phase reactions, VLE

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