Registration Dossier

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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Administrative data

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model and falling into its applicability domain, with adequate and reliable documentation / justification
Justification for type of information:
1. SOFTWARE
EPI Suite
2. MODEL (incl. version number)
ECOSAR Version 1.11
EPISuite Kowwin v1.68 Estimate
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
O=C(C=C)OCc1ccccc1
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
US EPA. 2012. Estimation Programs Interface Suite™ for Microsoft® Windows]. United States Environmental Protection Agency, Washington, DC, USA.
- Defined endpoint: Partition coefficient

5. APPLICABILITY DOMAIN
KOWWIN v 1.68 - Estimates the log octanol-water partition coefficient, log Kow, of chemicals using an atom/fragment contribution method.

6. ADEQUACY OF THE RESULT
Result is adequate for stated purpose

Data source

Reference
Reference Type:
other: QSAR
Title:
Unnamed
Year:
2018
Report date:
2018

Materials and methods

Test guideline
Qualifier:
no guideline available
Principles of method if other than guideline:
- Principle of test: To estimate the Log Kow value
- Parameters analysed / observed: Log Kow
GLP compliance:
no

Test material

Constituent 1
Chemical structure
Reference substance name:
Benzyl acrylate
EC Number:
219-673-9
EC Name:
Benzyl acrylate
Cas Number:
2495-35-4
Molecular formula:
C10H10O2
IUPAC Name:
benzyl acrylate

Results and discussion

Partition coefficient
Key result
Type:
log Pow
Partition coefficient:
2.436
Remarks on result:
other: The result has been obtained by using EPISuite Kowwin v1.68 Estimate

Applicant's summary and conclusion

Conclusions:
Using the EPISuite Kowwin v1.68 Estimate the Log Kow value has been calculated as 2.436.