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  • December 13, 2023

Mechanistic modeling is complex: Myth or Fact?

Myth The underlying equations that represent physical phenomena are necessarily complex, but using mechanistic models to gain process understanding doesn’t have to be. You don’t need to be a computerprogrammer or simulation expert with years of experience. With a clear methodology, a well- designed...

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  • December 06, 2023

Mechanistic modeling requires many experiments: Myth or Fact?

Myth A customer told us recently that  mechanistic modeling required only 25% of the experimental work required for a classical statistical DoE approach  and they also achieved much more, including  deep process understanding. The number of experiments required depends on the objectives such...

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  • November 28, 2023

Mechanistic modeling completely replaces experiments: Myth or Fact?

Myth…for now A mechanistic model relies on first principles based on physico-chemical phenomena and requires estimating a number of model parameters specific to the case under investigation. The evaluation of model parameters is typically done based on a set of well targeted experiments.  While...

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  • October 26, 2023

Doubled productivity of a multi-column ion exchange chromatographic process with increased purity

About the optimization of a multi-column Ion Exchange system :   « In combination with AKBM “user-knowledge” and intuition, Ypso-Facto used experimental laboratory- and production-data and made simulation-models with the software “Ypso-Ionic”. With this GPX approach, Ypso-Facto...

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  • October 25, 2023

Three Benefits of Mechanistic Modeling For Chromatographic Process Development

Optimizing chromatographic processes can be achieved by employing mechanistic modeling, with the following benefits: Increase Process Understanding Get to the core of chromatography with mechanistic modeling. The combination of well targeted experiments with mechanistic simulations...

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  • September 12, 2023

Reduced solvent consumption by 57% in peptide solid phase synthesis

"During our cooperation with Ypso -Facto, by associating our respective expertises , predictive simulation and experiments, we managed reducing by 57 % the solvent use for resin washing during SPPS ." Olivier LUDEMANN- HOMBOURGER, Director Global - Innovation & Technology...

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  • June 12, 2023

Comparison of single and multi-column processes with mechanistic simulation

Multicolumn Chromatography  is a strong possible alternative to single-column chromatography for improving process performances.  Mechanistic simulations  can be used to investigate several process options and quantify the impact on key performance indicators, thus providing a platform to make informed...

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  • May 08, 2023

Modeling: Mechanistic or Statistical ? Part 2 : Making a choice

Interested by knowing the differences between statistical and mechanistic approach?   Click here to access part 1 of the article "Modeling : Mechanistic vs Statistical ? Part 1 :  Modeling expectations"   All modeling approaches need to be fed with experimental data to identify...

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  • March 13, 2023

Modeling: Mechanistic or Statistical ? Part 1 : Modeling expectations

Digital tools are used for well-known applications in our everyday life: energy production, navigation, drugs development, weather prediction, diseases detection. They are useful because they allow predicting: weather, illness, position and direction, conditions for minimizing energy consumption....

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Ypso-Facto is a service company helping industrial firms to develop, optimize and secure their chemical processes and bioprocesses.

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