Description
TitleDroplet penetration method as a wettability test for pharmaceutical powders
Date Created2017
Other Date2017-05 (degree)
Extent1 online resource (v, 52 p. : ill.)
DescriptionA droplet penetration method (DPM) was developed to characterize the wettability of pharmaceutical powders. Sessile droplets of two different liquids, used as test and reference liquids, were deposited on a slightly compressed powder bed and their penetration processes was recorded. Two simplifying assumptions are considered. First, the capillary pressure inside the porous powder is the only dominant driving force for the imbibition of drops. Second, the contact area between the penetrating drop and the powder bed is constant. Then, the penetration process in non-dimensional variables is independent of any dimensionless number. Hence, a reference liquid can be used to decouple the properties of the powder bed from the assessment of contact angle of the test liquid. In this thesis, the effect of particle size distribution on the wetting behavior of pharmaceutical powders was investigated by the droplet penetration method. Two powder materials, an excipient and an active pharmaceutical ingredient (API), are used. The excipient is lactose monohydrate powder sieved to obtain particles in the following size ranges: 38-45, 45-53, 53-63, 63-75, 75-90, 90-106 m. The API used is caffeine anhydrous powder with particle size distribution characterized by d50 = 15, 19 and 30 m. In all cases, the test liquid is deionized water and the reference liquid used was silicone oil. It was found that lactose powders with a particle size smaller than 75 m have approximately the same contact angle. However, there is a significant decrease in the calculated contact angle when particles are larger than 75 m. In the case of caffeine, it was found that larger particles yield smaller contact angle.
NoteM.S.
NoteIncludes bibliographical references
Noteby Yu Han
NoteThis work was partially supported by the National Science Foundation Grant no. CMMI-1538380.
Genretheses, ETD graduate
Languageeng
Data Life Cycle Event(s)
Type: Grant award
Funder: National Science Foundation
Name: CMMI-1538380
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.