2010
DOI: 10.1016/j.fluid.2009.10.028
|View full text |Cite
|
Sign up to set email alerts
|

Development of correlations for describing solute transfer into acyclic alcohol solvents based on the Abraham model and fragment-specific equation coefficients

Abstract: Gas-to-alcohol partition coefficients have been compiled for 1880 different solute-alcohol combinations, which comprised 23 acyclic alcohols. These partition coefficients were converted into water-to-alcohol partition coefficients using the corresponding gas-to-water partition coefficients. Both sets of partition coefficients were analyzed using the Abraham solvation parameter model with fragment-specific equation coefficients. The derived equations correlated the experimental gas-to-alcohol and water-to-alcoh… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

1
20
0

Year Published

2010
2010
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 26 publications
(21 citation statements)
references
References 37 publications
1
20
0
Order By: Relevance
“…If 6 more fitting parameters are added to account for the slight dependency of the partitioning coefficients on the number of carbon atoms of alcohols, the accuracy improves to 0.15-0.16, comparable to the performance by the 30-parameter model proposed by Sprunger et al [1]. …”
mentioning
confidence: 63%
See 4 more Smart Citations
“…If 6 more fitting parameters are added to account for the slight dependency of the partitioning coefficients on the number of carbon atoms of alcohols, the accuracy improves to 0.15-0.16, comparable to the performance by the 30-parameter model proposed by Sprunger et al [1]. …”
mentioning
confidence: 63%
“…In other words, a fragment increment in the structure of alcohol has little influence on log K. Obviously, in this situation it is not possible to accurately calibrate a fragment contribution (if any) to the LSER system parameters. The apparent good fitting reported by Sprunger et al [1] is not surprising, because their models appear to contain more parameters than necessary for their data set. This point is illustrated below.…”
mentioning
confidence: 77%
See 3 more Smart Citations