Home » Mastering Crystallization in Pharma: Why Mixing is the Missing Link for API Quality
In the pharmaceutical industry, the manufacturing of Active Pharmaceutical Ingredients (APIs)—the core components used to formulate pills, creams, ointments, syrups, and injectables—relies heavily on highly controlled separation processes. Among these, crystallization stands out as the most critical step.
Following upstream reactions, biotechnology processes, or fermentation, crystallization is the primary method used to purify the material. But its role goes far beyond simple cleaning. The crystallization step directly defines the potency, bioavailability, and stability of the final drug product, largely by dictating the crystal polymorphism generated during the process.
The Chemistry Baseline: Solvents and the Metastable Zone
Because of its critical role, crystallization is a heavily scrutinized operation. Every pharmaceutical company manufacturing APIs works diligently to characterize the baseline chemistry of their products. This involves identifying the optimal solvents, determining the ideal thermodynamic conditions, and mapping out the metastable zone.
By leveraging this baseline chemical knowledge, engineers attempt to map out the perfect pathway for crystallization. It is universally understood that the foundation of the process is the chemical affinity between the materials. However, a major challenge arises when these perfectly mapped chemical pathways move from the laboratory into production.
The Hidden Variable: Equipment Geometry and Flow Dynamics
We often assume that crystallization will proceed based purely on the chemical interaction between the materials. However, in reality, the nature of these interactions is fundamentally altered by the physical environment.
In industrial manufacturing, crystallization takes place inside various stirred reactors, each with completely different geometries and impeller configurations. The polymorphism, the exact temperature at which spontaneous crystallization occurs, the particle size distribution, and the ultimate purity of the API are all direct functions of the flow dynamics inside that specific vessel.
If we want to successfully solve and control crystallization in pharma, we must account for the physical conditions we are forcing our materials into. The interaction between materials is dictated by factors such as:
Convection vs. Diffusion: The Power of Velocity
To understand why mixing parameters are so decisive, consider the basic mechanics of solid-liquid mixing. If you introduce a solid into a liquid to dissolve it and apply absolutely no agitation, the process relies entirely on molecular diffusivity. It will take a significantly long time for the materials to interact.
Conversely, if you move the solid into the liquid at high velocity using an agitator, the process is driven by convection. The high velocity dramatically changes the interaction rate, slashing the dissolution time.
The same physical principles apply to crystal growth. The physical and chemical affinity between the solvent and the product dictates what can happen, but the mechanical mixing parameters determine what actually happens.
Securing the Scale-Up Process
When transitioning from a small lab flask to a large industrial tank, the physical interaction between materials changes drastically. A failure to account for these changes can lead to batch rejection, incorrect polymorph generation, and compromised drug efficacy.
This is why understanding and applying chemical process simulation is indispensable. By properly simulating the specific mixing parameters of your equipment, you guarantee that the chemical affinity of your materials is supported by the correct fluid dynamics. Ultimately, mastering the scale-up of chemical processes ensures you consistently generate the correct polymorph, the ideal particle size, and the high-quality crystals the pharmaceutical industry demands.
The Influence of Mixing in the Process
New methodology using VisiMix software for the purpose of checking the influence of mixing in the processes.
VisiMix Demo Operation
Learning how to input data into the VisiMix software and get results the will help us understand the influence of mixing in our processes.
Lab Experiments
Learning how to set up the relevant experiments at the lab scale, to develop the processes from an engineering point of view.
VisiMix
User friendly, universal and reliable Computational Process Engineering software for analysis of processes facilitated by mixing.