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Title: Pre-formulation studies on microcrystalline cellulose for grouping and predicting their performance in extrusion-spheronization
Keywords: microcrystalline cellulose, extrusion-spheronization, granulation, torque rheometry
Issue Date: 16-Oct-2006
Citation: SOH LAY PENG, JOSEPHINE (2006-10-16). Pre-formulation studies on microcrystalline cellulose for grouping and predicting their performance in extrusion-spheronization. ScholarBank@NUS Repository.
Abstract: The main objective was to develop a model for clustering of microcrystalline cellulose (MCC) grades into groups of equivalent torque rheological behaviors and to predict their performance in extrusion-spheronization. It was hypothesized that torque rheological properties of MCC grades could be related to, and reflect their performance in extrusion-spheronization. Torque rheological properties of 14 MCC grades and their respective blends containing (70 % w/w) lactose were determined using a mixer torque rheometer and well correlated to their spheroid characteristics. Artificial neural network (ANN), multi-dimensional scaling (MDS) and data clustering were employed to group the MCC grades. Along with the correlation results, the grouping suggested that MCC grades within the same group were likely to yield spheroids of comparable physical properties. Thus, a simple torque rheological measurement may suffice at the pre-formulation stage to gauge the quality of spheroids prepared by a newly encountered MCC grade prior to actual production.
Appears in Collections:Ph.D Theses (Open)

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