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EC number: 255-350-9 | CAS number: 41395-83-9
Adsorption / desorption
Administrative data
Link to relevant study record(s)
- Endpoint:
- adsorption / desorption, other
- Remarks:
- adsorption
- 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 v4.11 Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
KOCWIN v2.00
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"
5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".
6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section. - Qualifier:
- according to guideline
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: EPI Suite v4.11
- Model(s) used: KOCWIN v2.00, Log Kow based model
Full reference and details of the used formulas can be found in:
1. Doucette, W.J. 2000. Soil and sediment sorption coefficients. In: Handbook of Property Estimation Methods, Environmental and Health Sciences. R.S. Boethling & D. Mackay (Eds.): Lewis Publishers (ISBN 1-56670-456-1).
2. US EPA. [2012]. Estimation Programs Interface Suite™ for Microsoft® Windows, v 4.11 or insert version used]. United States Environmental Protection Agency, Washington, DC, USA.
- Model description: see field 'Justification for non-standard information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justific ation for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: calculation
- Media:
- soil
- Details on test conditions:
- BASIS FOR CALCULATION OF Koc:
- Estimation software: EPI Suite™ v 4.11, KOCWIN v2.00, Log Kow based method - Type:
- Koc
- Value:
- 113 000 L/kg
- Temp.:
- 25 °C
- Type:
- log Koc
- Value:
- 5.053 dimensionless
- Temp.:
- 25 °C
- Endpoint:
- adsorption / desorption, other
- Remarks:
- adsorption
- 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 v4.11 Estimation Programs Interface Suite™ for Microsoft® Windows v 4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
KOCWIN v2.00
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"
5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".
6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section. - Qualifier:
- according to guideline
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: EPI Suite v4.11
- Model(s) used: KOCWIN v2.00, MCI based method
Full reference and details of the used formulas can be found in:
Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992)
- Model description: see field 'Justification for non-standard information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justific ation for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: calculation
- Media:
- soil
- Details on test conditions:
- BASIS FOR CALCULATION OF Koc:
- Estimation software: EPI Suite™ v 4.11, KOCWIN v2.00, MCI based method - Type:
- Koc
- Value:
- 20 480 L/kg
- Temp.:
- 25 °C
- Type:
- log Koc
- Value:
- 4.311 dimensionless
- Temp.:
- 25 °C
Referenceopen allclose all
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
Description of key information
Log Koc: 4.31 – 5.05 (QSAR: EPI Suite v4.11, MCI and log Pow - regression based models)
Key value for chemical safety assessment
Additional information
Information on the adsorption potential of the substance propylene dinonanoate (CAS 41395-83-9) was collected using two QSAR models (MCI and log Pow - regression based methods) implemented within the EPI Suite software (v4.11). Both models predict a moderate to high adsorption potential. Log Koc values of 4.31 and 5.05 were calculated with the MCI and the log Pow based models, accordingly.
Both constituents are within the applicability domain of the models with respect to the molecular weight, log Kow and structural fragments. The most similar substances were retrieved from the training set using the OECD QSAR Toolbox v3.4. The MCI model performance on the similar substances was mostly moderate while the log Pow based model performance varied depending on the molecule from poor to good.
In conclusion the results are considered reliable and adequate to be used in a weight of evidence approach and the log Koc was found to be between 4.31 and 5.05.
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