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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.
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
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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.
The value of the equilibrium constant for the formation of a 1:1 complex, such as a host-guest species, may be calculated with a dedicated spreadsheet application, Bindfit: [4] In this case step 2 can be performed with a non-iterative procedure and the pre-programmed routine Solver can be used for step 3.
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 ...
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