Freeze-Dryer Equipment Capability Limit: Comparison of Computational Modeling With Experiments at Laboratory Scale.

The equipment capability curve is one of the bounding elements of the freeze-drying design space, and understanding it is critical to process design, transfer, and scale-up. The second bounding element of the design space is the product temperature limit beyond which the product collapses. The high cost associated with freeze-drying any product renders it crucial to operate using the most efficient cycle within the limits of the equipment and the product. In this work, we present a computational model to generate the equipment capability curve for 2 laboratory scale freeze-dryers and compare the results to experimentally generated equipment capability curves. The average deviations of the modeling results from the experiments for the 2 lyophilizers modeled are -4.8% and -7.2%. In addition, we investigate the effect of various numerical and geometric parameters on the simulated equipment capability. Among the numerical parameters, the chamber wall thermal boundary conditions exert the largest influence with a maximum value of 12.3%. Among the geometric parameters, the inclusion of the isolation valve reduces the equipment capability by 23.7%. Larger isolation valves, required for controlled nucleation technology, choke the flow in the duct at lower sublimation rates, thereby lowering the equipment capability limit.

Bulk Dynamic Spray Freeze-Drying Part 1: Modeling of Droplet Cooling and Phase Change.

In spray freeze-drying (SFD), the solution is typically dispersed into a gaseous cold environment producing frozen microparticles that are subsequently dried via sublimation. This technology can potentially manufacture bulk lyophilized drugs at higher rates compared with conventional freeze-drying in trays and vials because small frozen particles provide larger surface area available for sublimation. Although drying in SFD still has to meet the material collapse temperature requirements, the final characteristics of the respective products are mainly controlled by the spray-freezing dynamics. In this context, the main goal of this work is to present a single droplet spray-freezing model and validate it with previously published simulations and experimental data. For the investigated conditions, the droplet temperature evolutions predicted by the model agree with experiments within an error of ±10%. The proposed engineering-level modeling framework is intended to assist future development of efficient SFD processes and support scale up from laboratory to commercial scale equipment.

Bulk Dynamic Spray Freeze-Drying Part 2: Model-Based Parametric Study for Spray-Freezing Process Characterization.

Spray freeze-drying is an evolving technology that combines the benefits of spray-drying and conventional lyophilization techniques to produce drug substance and drug product as free-flowing powders. The high surface-to-volume ratio associated to the submillimeter spray-frozen particles contributes to shorter drying and reconstitution times. The formation of frozen particles is the most critical part of this dehydration technique because it defines the properties of final product. Based on a previously proposed and validated model, the current goal is to understand the role of various controllable parameters in the spray-freezing process. More specifically, given a set of spraying conditions, the model is used to predict the minimum distance required to cool and freeze the droplets below a temperature that prevents coalescence and product agglomeration. A parametric study is carried out to map the operational limit conditions of the actual spray-freezing column apparatus under consideration. For the spray freeze-drying conditions of interest, model simulations indicate that convection contributes to at least 80% of the total droplet heat transfer and, consequently, that freezing column gas temperature and droplet diameter are the most important process parameters affecting the freezing distance.