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Understanding polymer-lipid solid dispersions-The properties of incorporated lipids govern the crystallisation behaviour of PEG
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmacy.
2010 (English)In: International Journal of Pharmaceutics, ISSN 0378-5173, E-ISSN 1873-3476, Vol. 386, no 1-2, 61-70 p.Article in journal (Refereed) Published
Abstract [en]

A deeper insight into the crystallisation process of semi-crystalline polymers during formation of solid dispersions is crucial to improve control of product qualities in drug formulation. In this study we used PEG 4000 with 12 different lipids as a model system to study the effect that incorporated components may have on the crystallisation of the polymer. The lipids were melted with PEG 4000 and the crystallisation of the polymer studied with differential scanning calorimetry (DSC) and small angle X-ray diffraction (SAXD). PEG 4000 can crystallise into lamellar structures with either folded or fully extended polymer chains. All lipids increased the fraction of the folded form and lowered the crystallisation temperatures. Some lipids were incorporated to a high extent into the amorphous domains of the PEG lamellae and thereby swelling the structure, which also resulted in a high degree of chain folding. Partial least squares (PLS) modelling indicated that small hydrophilic lipids increased the folding of PEG and that large non-polar lipids retarded the unfolding during secondary crystallisation. This work shows that there is a large difference in the behaviour of PEG depending on lipid added. Differences are explained in terms of molecular properties for the lipids, demonstrated by the use of PLS modelling to describe the behaviour of PEG solid dispersions.

Place, publisher, year, edition, pages
2010. Vol. 386, no 1-2, 61-70 p.
Keyword [en]
Lipids, Polyethylene glycol, Solid state, Solid dispersions, Stability, Multivariate data analysis, Principal component analysis, Partial least squares projection to latent structures
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-137259DOI: 10.1016/j.ijpharm.2009.10.049ISI: 000274876400008PubMedID: 19900523OAI: oai:DiVA.org:uu-137259DiVA: diva2:377972
Available from: 2010-12-15 Created: 2010-12-15 Last updated: 2017-12-11Bibliographically approved

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