Off-campus UMass Amherst users: To download campus access dissertations, please use the following link to log into our proxy server with your UMass Amherst user name and password.
Non-UMass Amherst users: Please talk to your librarian about requesting this dissertation through interlibrary loan.
Dissertations that have an embargo placed on them will not be available to anyone until the embargo expires.
Open Access Dissertation
Doctor of Philosophy (PhD)
Year Degree Awarded
Month Degree Awarded
Michael A. Henson
David P. Schmidt
Other Chemical Engineering | Thermodynamics | Transport Phenomena
Drying of Active Pharmaceutical Ingredients (APIs) is an energy intensive process that is often a manufacturing bottleneck due to its relatively long processing times. A key objective is the ability to determine the drying end point, the time at which all solvent has been evaporated from the solid cake. A novel method for determining the end point of pharmaceutical dryers, based on on-line mass spectrometry is developed and tested. The proposed method offers several advantages over existing spectrometric methods, including the ability to detect when the cake is dry from vapor phase measurements and a very simple implementation that does not require chemometric models. The drying end point was determined as the time at which the gas phase solvent concentration measurement from the mass spectrometer converged to a predicted value computed from a solvent mass balance on the oven assuming zero flow rate from the cake. The method was tested on a laboratory scale vacuum dryer over a range of temperatures and pressures using glass beads with three different particle sizes. The method was validated by performing Loss On Drying (LOD) experiments for one combination of pressure, temperature and bead size.
The mass spectrometer (MS) was used as a Quality by Design (QbD) tool along with thermocouples to understand dynamics in vacuum tray drying. The data indicated that boiling was the dominant mechanism. A multiphase transport model to predict drying performance was developed. It was found that a two phase transport model with the vapor and solid considered as one phase and the liquid treated as the second phase was capable of qualitatively reproducing the drying dynamics. Adjustable model parameters estimated from experimental data collected over a range of operating conditions exhibited trends that provided further insight into drying behavior.
The understanding of drying from a vacuum tray dryer was extended to an Agitated Filter Drier (AFD) using the MS. Further, one of the most challenging issues with the use of an AFD, particle size change, was investigated. The change in particle size of API during drying at different RPMs was studied. The experiments indicated that the process was dominated by breakage of API which showed strong correlation with LOD. Population balance models were used to estimate parameters and derive empirical relations to LOD levels.
Dodda, Aditya G., "An Integrated Computational and Experimental Approach to Study and Scale-Up Vacuum Drying of Pharmaceutical Products" (2016). Doctoral Dissertations. 563.