Journal article
A Simplex Centroid Design to Quantify Triboelectric Charging in Pharmaceutical Mixtures
Journal of pharmaceutical sciences, v 109(5), pp 1765-1771
May 2020
PMID: 32105661
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The present study focuses on the implementation of a modified simplex centroid statistical design to predict the triboelectrification phenomenon in pharmaceutical mixtures. Two drugs (Ibuprofen and Theophylline), 2 excipients (lactose monohydrate and microcrystalline cellulose/MCC), and 2 blender wall materials (aluminum and poly-methyl methacrylate) were studied to identify the trends in charge transfer in pharmaceutical blends. The statistical model confirmed the excipient-drug interactions, irrespective of the blender wall materials, as the most significant factor leading to reduced charging. Also, lactose monohydrate was able to explain the charge variability more consistently compared with MCC powders when used as secondary material. The ratio of the individual components in the blends explained almost 80% of the bulk charging for Ibuprofen mixtures and 70% for Theophylline mixtures. The study also explored the potential lack of efficacy of lactose-MCC as a combination in ternary systems when compared with binary mixtures, for impacts on charge variability in pharmaceutical blends.
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Details
- Title
- A Simplex Centroid Design to Quantify Triboelectric Charging in Pharmaceutical Mixtures
- Creators
- Raj Mukherjee - University of ConnecticutAritra Halder - University of ConnecticutSameera Sansare - University of ConnecticutShivangi Naik - University of ConnecticutBodhisattwa Chaudhuri - University of Connecticut
- Publication Details
- Journal of pharmaceutical sciences, v 109(5), pp 1765-1771
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000530716000013
- Scopus ID
- 2-s2.0-85081701712
- Other Identifier
- 991021448169604721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Chemistry, Medicinal
- Chemistry, Multidisciplinary
- Pharmacology & Pharmacy