A statistical analysis of solubility models employed in supercritical carbon dioxide

The solubility of substances in supercritical fluids is an important parameter for the development and implementation of nanotechnology. But the experimental measurement of solubility at each and every desired condition is cumbersome, hence these is great need to develop a good model that correlates...

Full description

Saved in:
Bibliographic Details
Main Authors: Anitha, N., Chandrasekhar, G.
Format: Conference Proceeding
Language:English
Subjects:
Carbon dioxide
Evaluation
Mathematical models
Naphthalene
Parameters
Solubility
Solvents
Statistical analysis
Supercritical fluids
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The solubility of substances in supercritical fluids is an important parameter for the development and implementation of nanotechnology. But the experimental measurement of solubility at each and every desired condition is cumbersome, hence these is great need to develop a good model that correlates/predicts the solubility. In order to fulfill this, they are numerous works in literature but, they are applicable to specific solute-solvent system. But none of them are suitable for all the solute-solvent systems. In this work, we have employed statistical analysis on various models to evaluate the correlating ability of the standard compounds in supercritical carbon dioxide. For statistical analysis parameters such as arithmetic average deviation and Akaike’s information criterion (AIC) are used. In the present work, we have validated various models with naphthalene solubility data. Finally, goodness of the model is evaluated in terms of AIC.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0108200