Registration Dossier

Data platform availability banner - registered substances factsheets

Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Physical & Chemical properties

Partition coefficient

Currently viewing:

Administrative data

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
accepted calculation method
Justification for type of information:
See QPRF and QMRF
See IUCLID section 13 for read across justification
Cross-reference
Reason / purpose for cross-reference:
data waiving: supporting information

Data source

Reference
Reference Type:
other: QSAR
Title:
KOWWIN v1.68
Author:
United States Environmental Protection Agency
Year:
2012
Bibliographic source:
Estimation Programs Interface (EPI) Suite, v4.11 developed by the US Environmental Protection Agency's Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC)

Materials and methods

Test guideline
Qualifier:
no guideline followed
Principles of method if other than guideline:
The partition coefficient was estimated using EPISuite v4.11 (US EPA 2012) using KOWWIN v1.6. KOWWIN uses a "fragment constant" methodology in which a structure is divided into fragments (atom or larger functional groups) and coefficient values of each fragment or group are summed together to yield the log P estimate. Coefficients for individual fragments and groups were derived by multiple regression of 2447 reliably measured log P values. The predictive accuracy of KOWWIN has been tested on an external validation dataset of 10,946 compounds with a diverse selection of chemical structures. Currently there is no universally accepted definition of model domain, though property estimates are potentially less accurate for compounds outside the Molecular Weight range of the training set compounds, and/or compounds with more of a given fragment than the maximum for all training set compounds. When interpreting results, it should also be considered whether a compound may have a functional group(s) or other structural features not represented in the training set, and for which no fragment coefficient was developed.
GLP compliance:
not specified
Type of method:
other: QSAR
Partition coefficient type:
octanol-water

Test material

Constituent 1
Chemical structure
Reference substance name:
Lithium oleate
EC Number:
230-960-8
EC Name:
Lithium oleate
Cas Number:
7384-22-7
Molecular formula:
C18H34O2.Li
IUPAC Name:
lithium octadec-9-enoate

Study design

Analytical method:
not specified

Results and discussion

Partition coefficient
Type:
log Pow
Partition coefficient:
3.918
Temp.:
20 °C
pH:
7
Remarks on result:
other: Standard conditions assumed
Details on results:
The partition coefficient of lithium oleate is estimated by QSAR to give a log Pow of 3.9184. However, as the substance is considered to be an “ion pair”, the value was estimated on the basis of the ionised fatty acid only rather than the salts.

Applicant's summary and conclusion

Conclusions:
Lithium isooctadecanoate is estimated to have a log Kow of 3.9184
Executive summary:

The partition coefficient of lithium oleate was estimated using a QSAR model (KOWWIN v1.68 in EPISuite v4.11, US EPA 2012), following the Atom/Fragment Contribution method. KOWWIN provides estimates for the ionised acid rather than lithium oleate.