Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/191785
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dc.titleIMPACT OF EXCIPIENT PARTICLE SIZE DISTRIBUTION VARIABILITY ON POWDER RHEOLOGY AND MIXING
dc.contributor.authorLEE WEE BENG
dc.date.accessioned2021-06-02T18:00:21Z
dc.date.available2021-06-02T18:00:21Z
dc.date.issued2021-01-05
dc.identifier.citationLEE WEE BENG (2021-01-05). IMPACT OF EXCIPIENT PARTICLE SIZE DISTRIBUTION VARIABILITY ON POWDER RHEOLOGY AND MIXING. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/191785
dc.description.abstractThe impact of particle size distribution (PSD) variability, in excipients, on solids mixing is underexplored. Resultantly, manufacturers rely on raw material control and over-processing to avoid risks - which is problematic. This project strived to uncover how and why PSD variability affects mixing; and implement an automated robust mixing operation. Lactose, which exhibited commercially-encountered PSD variability, was mixed with chlorpheniramine and microcrystalline cellulose. The effects of PSD variability on mixing were analysed. Avalanche flow characterisation, coupled with multivariate image analysis, was performed to uncover mechanisms. Near infrared spectroscopy was adopted for in-line PSD and blend homogeneity characterisation, for feedforward and feedback control in an automated robust mixing operation. Results showed PSD variability affected mixing. Due to rheological variations, the optimal rotation speed differed with PSD. Automated mixing operation successfully modulated mixing for time-efficiency. Findings yield knowledge and tools to enhance robustness in mixing, which align manufacturing practice with regulatory expectations.
dc.language.isoen
dc.subjectProcess analytical technology,Near infrared spectroscopy,Particle size distribution,Avalanche flow,Multivariate image analysis,Blending
dc.typeThesis
dc.contributor.departmentPHARMACY
dc.contributor.supervisorLai Wah Chan
dc.contributor.supervisorEFFENDI WIDJAJA
dc.contributor.supervisorWan Sia, Paul Heng
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (FOS)
Appears in Collections:Ph.D Theses (Open)

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