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Predicting and validating surfactant performance in nanocrystal stabilization using multi-criteria decision analysis and solubility parameter modeling.

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Bibliographic Details
Title: Predicting and validating surfactant performance in nanocrystal stabilization using multi-criteria decision analysis and solubility parameter modeling.
Authors: Ndongwe T; Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa., Makoni PA; Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa., Matlou GG; Electron Microscopy Unit, Sefako Makgatho Health Sciences University, Pretoria, South Africa., Nhlapo TA; Department of Medical Physics, School of Medicine, Sefako Makgatho Health Sciences University, P.O. Box 146, Medunsa 0204, South Africa., Corvis Y; Université Paris Cité, CNRS, Inserm, Unité des Technologies Chimiques et Biologiques pour la Santé (UTCBS, utcbs.cnrs.fr), France., Siwe-Noundou X; Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa. Electronic address: Xavier.siwenoundou@smu.ac.za., Witika BA; Department of Pharmaceutical Sciences, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa. Electronic address: bwalya.witika@smu.ac.za.
Source: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences [Eur J Pharm Sci] 2026 May 01; Vol. 220, pp. 107479. Date of Electronic Publication: 2026 Feb 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science B.V Country of Publication: Netherlands NLM ID: 9317982 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0720 (Electronic) Linking ISSN: 09280987 NLM ISO Abbreviation: Eur J Pharm Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0720
DOI:10.1016/j.ejps.2026.107479