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Hansen solubility parameters were developed by Charles M. Hansen in his Ph.D thesis in 1967 [1] [2] as a way of predicting if one material will dissolve in another and form a solution. [3] They are based on the idea that like dissolves like where one molecule is defined as being 'like' another if it bonds to itself in a similar way.
Of course, any notion of "finding" a molecule in a given location is a thought experiment since we can't actually examine spatial locations the size of molecules. The expression for the entropy of mixing of small molecules in terms of mole fractions is no longer reasonable when the solute is a macromolecular chain .
The solubility of a specific solute in a specific solvent is generally expressed as the concentration of a saturated solution of the two. [1] Any of the several ways of expressing concentration of solutions can be used, such as the mass, volume, or amount in moles of the solute for a specific mass, volume, or mole amount of the solvent or of the solution.
In addition to over 130 published papers and 8 patents (h-index 25), he authored Hansen Solubility Parameters – A User's Handbook in 1999 followed by an expanded 2nd Edition in 2007. [6] With Abbott and Yamamoto he authored the package of software, eBook, and datasets called Hansen Solubility Parameters in Practice, in 2008 which is currently ...
Solubility parameter may refer to parameters of solubility: Hildebrand solubility parameter, a numerical estimate of the degree of interaction between materials, and can be a good indication of solubility; Hansen solubility parameters, developed by Charles Hansen as a way of predicting if one material will dissolve in another and form a solution
This allows the prediction of polar and associative compounds, which most solubility parameter models have been found to do poorly. In addition to making quantitative prediction, MOSCED can be used to understand fundamental molecular level interaction for intuitive solvent selection and formulation.
logX m = ƒ 1 logX 1 + ƒ 2 logX 2. Where X m is the mole fraction solubility of the solute, X 1 and X 2 denote the mole fraction solubility in neat cosolvent and water. While this model is only correlative in nature, further analysis allows for the creation of a predictive element. Simplifying the above equation to: logX m = logX 2 + σ • ƒ 1
The Open Notebook Science Challenge is a crowdsourcing research project which collects measurements of the non-aqueous solubility of organic compounds and publishes these as open data; findings are reported in an open notebook science manner. Although anyone may contribute research data, the competition is only open to post-secondary students ...