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Accuracy of molar solubility prediction from Hansen parameters : an exemplified treatment of the bioantioxidant l-ascorbic acid

  • Estimating molar solubility from the Hildebrand-Scott relation employing Hansen solubility parameters (HSP) is widely presumed a valid semi quantitative approach. To test this presumption and to determine quantitatively the inherent accuracy of such a solubility prognosis, l-ascorbic acid (LAA) was treated as an example of a commercially important solute. Analytical calculus and Monte Carlo (MC) simulation were performed for 20 common solvents with total HSP ranging from 14.5 to 33.0 (MPa)0.5 utilizing validated material data. It was found that, due to the uncertainty of the material data used in the calculations, the solubility prediction had a large scattering and, thus, a low precision.

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Metadaten
Name:Lehnert, Ralph; Schilling, Richard
URN:urn:nbn:de:bsz:rt2-opus4-27021
DOI:https://doi.org/10.3390/app10124266
ISSN:2076-3417
Erschienen in:Applied sciences
Publisher:MDPI
Place of publication:Basel
Document Type:Article
Language:English
Year of Publication:2020
Tag:ascorbic acid Hansen parameter; ascorbic acid solubility; molar solubility estimation
Volume:10
Issue:12
Pagenumber:11
First Page:1
Last Page:11
Dewey Decimal Classification:660 Technische Chemie
Open Access:Ja
Licence (German):License Logo  Open Access