Oxygen transfer
Cells consume oxygen faster than the gas can dissolve it. Dissolved oxygen falls below the critical level and metabolism shifts.
Deterministic scale-up checks from 10 L to 150 L and 1,000 L, from your data and a characterised reactor. Each prediction will be tested in an open pilot hub we plan to build in Lombardy.
Bubble density follows kLa
from the simulator below: 1,415 h-1
E. coli, 10 L
The strain is the same in a 10 L bench reactor and in a 1,000 L tank. The vessel around it changes, and five ratios move with it.
At 1,200 rpm and 7.2 kW/m³ every ratio stays under 0.8. This is the operating point the process is known to run at.
Holding power per volume would need 658 rpm; the stirrer tops out at 510. Oxygen reaches 0.90, mixing 0.93.
The tank needs 27.1 s to mix while the cells clear the feed in 15.0 s. Substrate gradients reach 1.81, oxygen 1.36.
E. coli preset, constant P/V from the 10 L base
Every ratio under its limit
Prototype engine, illustrative literature values, not validated. Same engine as the simulator below.
Oxygen transfer, mixing and heat removal do not scale linearly. Most failures are visible on paper before the first 1,000 L batch, if someone does the paper.
Geometrically similar stirred tanks, turbulent regime. Exponents follow from P = NpρN3D5 and N·t95 = constant.
The same engine with every control open. Change the organism, the scale-up rule or the oxygen demand, drag the volume, and see which limit is crossed first.
Prototype engine using published correlations and illustrative literature values. Not validated.
Runs entirely in your browser; nothing you set here leaves the page. Base case: the 10 L example reactor at its maximum stirrer speed and gas flow, where the process is assumed to work. Vessels between the three example reactors (10, 150, 1,000 L) are interpolated with geometric similarity. All inputs are confidence C (literature or estimate); sources and assumptions are in the method note.
Each check is a ratio of demand to capacity. Under 0.8 the margin holds, 0.8 to 1.0 is a warning, above 1.0 the limit is crossed.
Cells consume oxygen faster than the gas can dissolve it. Dissolved oxygen falls below the critical level and metabolism shifts.
The feed is consumed before it is mixed in. Cells cycle between excess and starvation; yield drops and by-products appear.
Metabolic heat grows with volume; jacket area grows only with volume to the two-thirds. The temperature runs away.
Holding oxygen transfer at scale pushes impeller tip speed and power input toward what the cells tolerate.
Gas fermentations feed hydrogen and oxygen together. The feed or the headspace can sit inside the flammable range.
Three steps, in this order. The reactor side is measured once and reused for every process.
Biomass, uptake rates, residual substrate, the conditions where your process works at 1 to 20 L. Each input is tagged by how it was obtained: measured on this process, measured elsewhere, or estimated.
kLa and mixing time are measured on the vessel itself, and replace the correlations wherever they exist.
Which limit is crossed first, at what volume, under which scale-up rule. Assumptions are printed next to each number, together with the inputs worth measuring at bench scale before you buy pilot time.
The software comes first. This is the assessment it returns, computed live in this page by the prototype engine for the E. coli preset at constant power per volume.
| Input | Value | Conf. | Source |
|---|
| Check | 10 L base | 150 L | 1,000 L |
|---|
We plan to build an open pilot hub in Lombardy: 1 to 20 L labs, a 150 L pilot and 1,000 L, for companies and researchers. Before each run the prediction is written down; after it, the prediction is scored.
Status on 1 November 2026.
Bioreactor design and plant, funding and partnerships. The biology is the seat we are filling now.

Mechanical engineer; bioreactor design and plant engineering. Physis, Polimi Energy Boat.

Biomedical and Electronic Engineering, Politecnico di Milano. President of BEA 2024‑26.
You have taken a microbial process past the bench and know where it breaks. You would own the biology inside the engine and the first runs at 150 L and 1,000 L.
We are building the team through Nucleate Activator 2027. If you have run fed-batches and want to see them predicted before the steel is bought, write to us.
Write to usWe are looking for 3 design partners with existing 1-20 L data. You get the checks on your process; we learn where the engine is wrong.