HSP Application note #20
Hansen Solubility parameter (HSP) of Polycyclic aromatic hydrocarbons
HSPiP Team Senior Developer, Dr. Hiroshi Yamamoto
Hansen Solubility Parameters (HSP)
Hansen Solubility Parameters(HSP) were developed by Charles M. Hansen as a way of predicting if one material will dissolve in another and form a solution. 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.
What can perhaps be surprising is that one can assign HSP to so many different things. Gases like carbon dioxide, solids like carbon-60, sugar, and biological materials like human skin, depot fat, DNA, and even some proteins all have HSP. The list can be continued with drugs, polymers, plasticizers, and in fact any organic material and even many inorganic materials like salts. The only requirement for an experimental confirmation is that the material must behave differently in a sufficient number of test solvents upon contact.
HSPiP version 3 have function to estimate Gas Chromatography Retention Index (GCRI).
HSPiP(Hansen Solubility Parameters in Practice)
The first edition of HSPiP that appeared in November, 2008, greatly enhanced the usefulness of the Hansen solubility parameters (HSP).
The HSP values of over 1200++ chemicals and 500 polymers are provided in convenient electronic format and have been revised and updated using the latest data sources in the second edition (March, 2009).
A third edition of the HSPiP appeared in March, 2010. There are now 10,000 compounds in the HSP file which also includes data on density, melting point, boiling point, critical parameters, Antoine constants and much more. The user is able to carry out many different sorts of optimisations of solubility, evaporation, diffusion, adhesion, create their own datasets (automatically if required) and explore the huge range of applications for HSP in coatings, paints, nanoparticles, cosmetics, pharma, organic photovoltaics and much more.
The 3rd Edition v3.1 was released on 12 December 2010. Current users can upgrade free (now v3.1.09) by downloading the latest .msi installer from http://hansen-solubility.com
The 4th Edition v4.0.x was released on 2 Jan. 2013. The Current users can upgrade with free charge.
2013.1.28 The Visual How to manual of HSPiP. You can understand what HSPiP can do.
GC retention time is depend on column length, oven temperature, carrier speed, so it is not predictable.
But if it comes to retention index, we can predict with
solubility to poly dimethyl siloxane(PDMS)
vaporization from PDMS
I found a very interesting paper refer to GCRI for polycyclic aromatic hydrocarbons.
I got 17 compounds' GCRI.
Only what you need is smiles notation.
Smiles(Simplified Molecular Input Line Entry Syntax)
SMILES is a string obtained by printing the symbol nodes encountered in a depth-first tree traversal of a chemical graph.
Y-MB Properties Estimation
Y-MB break Smiles into correspponding Functional Groups and Estimate various Properties. These estimation schemes are come from Pirika technologies.
Run HSPiP ver.3 and choose GC from menu bar.
Copy smiles and paste it to text field and push calculator button.
You will get GCRI value.
The absolute value is not good for especially large molecules, but from only structure information, we can estimate GCRI. This would be very powerful tool.
I also got HPLC data for PAHs.
The most popular column for HPLC is ODS column and this column contains Silica-gel covered by Octadecyl. When we insert some chemicals into this column, some chemicals dissolve to octadecyl alkyl chain deeply and some do not. So, highly interacted chemicals will delay to elute. Or some chemicals which are very easily dissolve to carrier liquid, elute very early.
We can evaluate these solubility with Hansen Solubility Parameters (HSP). Molecular size also play important role.
Pirika Java Demo Applet design Carrier Solvent. HPLCDemo is available here.
I do not know the reason, but retention time and molecular volume have very strong correlation. HSP of these molecules are almost same, so solubility to ODS is almost identical. They separate with just size.
If you draw several molecules and calculate each molecules' properties, program will simulate Retention Time (RT) of OSD column for HPLC. If you want to know how to draw molecules, please refer to PowerTools applications. I have full version of this HPLC RT simulation program at PowerTools+ Applications.