Registration Dossier
Registration Dossier
Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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.
Use of this information is subject to copyright laws and may require the permission of the owner of the information, as described in the ECHA Legal Notice.
EC number: 269-027-5 | CAS number: 68171-38-0
Partition coefficient
Administrative data
Link to relevant study record(s)
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Remarks:
- The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
2. MODEL (incl. version number)
ALogP Model v. 1.0.0
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: VEGA v1.1.3
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9,961 compounds) has been considered, setting all molecules as belonging to the test set.
- 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 'Justification for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 7.16
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Remarks:
- The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
2. MODEL (incl. version number)
Meylan/Kowwin v. 1.1.4
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: VEGA v1.1.3
- Model(s) used: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental logP values has been built starting from the original dataset provided in EPI suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9,961 compounds.
- 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 'Justification for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 7.6
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Remarks:
- The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
2. MODEL (incl. version number)
ALogP Model v. 1.0.0
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: VEGA v1.1.3
- Model(s) used: ALogP Model version 1.0.0
The model is based on the Ghose-Crippen-Viswanadhan LogP (ALogP) and consists of a regression equation based on the hydrophobicity contribution of 120 atom types as described in: A.K. Ghose and G.M. Crippen, J. Comput. Chem. 1986, 7, 565-577; V.N. Viswanadhan et al., J. Comput. Chem. 1993, 14, 1019-1026; A.K. Ghose, V.N. Viswanadhan, J.J. Wendoloski, J. Phys. Chem. A 1998, 102, 3762-3772. For the purpose of applicability domain assessment, the training set of the Meylan LogP model (9,961 compounds) has been considered, setting all molecules as belonging to the test set.
- 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 'Justification for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 7.16
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Remarks:
- The substance is not fully compliant with the applicability domain of the model. However, this calculation is used in a weight of evidence approach, in accordance to the REACh Regulation (EC) No 1907/2006, Annex XI General rules for adaptation of the standard testing regime set out in Annexes VII to X, 1.2. It is adequately documented and justified: the overall internal quality check in VEGA v1.1.3 indicates that the prediction is reliable with a Klimisch score of 2.
- Justification for type of information:
- 1. SOFTWARE
VEGA version 1.1.3
2. MODEL (incl. version number)
Meylan/Kowwin v. 1.1.4
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: VEGA v1.1.3
- Model(s) used: Meylan/Kowwin LogP Model version 1.1.4
The model is based on the Atom/Fragment Contribution (AFC) method from the work of Meylan and Howard (W.M. Meylan and P.H. Howard, Atom/fragment contribution method for estimating octanol-water partition coefficients, 1995, J. Pharm. Sci. 84: 83-92.), as implemented in the EPI Suite KOWWIN module (http://www.epa.gov/oppt/exposure/pubs/episuite.htm). The calculated model has a lower bound of -5.0 log units (all predictions lower than this value are set to -5.0). A dataset of compounds with experimental logP values has been built starting from the original dataset provided in EPI suite. The set has been processed and cleared from compounds that were replicated or that had problems with the provided molecule structure. The final dataset has 9,961 compounds.
- 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 'Justification for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 7.6
- Remarks on result:
- other: QSAR result, no information on temperature and pH available.
- 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
ARChem SPARC. version 4.6
2. MODEL
Properties - Partition coefficient (Distribution)
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
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 information provided in "Any other information of materials and methods 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:
- Calculation based on SPARC version v4.6, "Properties" calculation type
- Software tool(s) used including version: SPARC v4.6
- Model(s) used: Properties - Partition coefficient (Log)
SPARC calculates the liquid-liquid partition constant by combining the calculated activities at infinite dilution of the molecular species of interest in each of the liquid phases, as described by Hilal et al. 2004. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (623 molecules) and for the external validation (698 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Any other information on materials and methods incl. tables'.
- Justification of QSAR prediction: see field 'Justification for type of information' and 'overall remarks'. - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 8.29
- Temp.:
- 20 °C
- Remarks on result:
- other: QSAR result, no information on pH available.
- 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
ARChem SPARC. version 4.6
2. MODEL
Properties - Partition coefficient (Distribution)
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
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 information provided in "Any other information of materials and methods 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:
- Calculation based on SPARC version v4.6, "Properties" calculation type
- Software tool(s) used including version: SPARC v4.6
- Model(s) used: Properties - Partition coefficient (Log)
SPARC calculates the liquid-liquid partition constant by combining the calculated activities at infinite dilution of the molecular species of interest in each of the liquid phases, as described by Hilal et al. 2004. For the complete method's description see field 'Any other information on materials and methods incl. tables'.
The datasets used for the model development (623 molecules) and for the external validation (698 molecules) are described in the field 'Any other information on materials and methods incl. tables'.
- Model description: see field 'Any other information on materials and methods incl. tables'.
- Justification of QSAR prediction: see field 'Justification for type of information' and 'overall remarks'. - GLP compliance:
- no
- Type of method:
- other: QSAR
- Partition coefficient type:
- octanol-water
- Type:
- log Pow
- Partition coefficient:
- 8.46
- Temp.:
- 20 °C
- Remarks on result:
- other: QSAR result, no information on pH available.
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.
For detailed information on the results please refer to the attached report.
For detailed information on the results please refer to the attached report.
QSAR result. For detailed description of the model and its applicability, see "Any other information of materials and methods incl. tables".
QSAR result. For detailed description of the model and its applicability, see "Any other information of materials and methods incl. tables".
Description of key information
Log Pow > 7 (QSAR: VEGA v1.1.3 - two models: Meylan/Kowwin v1.1.4, ALogP v1.0.0; ARChem SPARC v4.6)
Key value for chemical safety assessment
Additional information
Overall results
For the two evaluated components of the substance, the Log Pow values as estimated by the VEGA/ALogP VEGA/Meylan-KOWWIN and SPARC models are reported. When relevant, the two most similar substances identified by VEGA are also included (using their CAS number), together with their similarity degree with the target component, experimental Log Pow values and the predictions obtained by the QSAR models.
Evaluation of |
Molecule / CAS |
Similarity degree |
Experimental Log Pow |
VEGA / ALogP |
VEGA / KOWWIN |
SPARC |
C18iso-pos1 |
Target |
- |
n.a. |
7.16 |
7.6 |
8.29 |
20292-08-4 |
0.928 |
8.03 |
7.81 |
7.81 |
-- |
|
1120-28-1 |
0.901 |
9.3 |
8.443 |
8.443 |
-- |
|
|
|
|
|
|
|
|
C18iso-pos2 |
Target |
- |
n.a. |
7.16 |
7.6 |
8.46 |
20292-08-4 |
0.916 |
8.03 |
7.81 |
7.81 |
-- |
|
1120-28-1 |
0.906 |
9.3 |
8.443 |
8.443 |
-- |
The alcoholic moiety has two possible sites for esterification. In the table above, the structures originating from the mono esterification of the fatty acid in one of the two positions, are indicated with “-pos1” and “-pos2”.
Discussion
The applicability domain (AD) evaluation performed by the VEGA software suggests that the two evaluated components are not fully compliant with ALogP and KOWWIN applicability domains. The similarity degree indexes between the evaluated components and their two most similar substances identified be VEGA are high, whereas the indexes related to performances in predictions and to comparison between values predicted for the target molecules and the experimental ones available for their similar substances, are not optimal. Indeed, both VEGA models underestimate the Log Pow of the similar substances.
The applicability domain compliance with SPARC model cannot be clearly evaluated. However, SPARC models have been designed and parameterized to be applicable to any organic chemical structure. The partition coefficient model validation, performed on a dataset of 698 molecules, proved that the model can be used to provide reliable estimations. The predicted values for the two target components are therefore deemed to support the overall estimation of the Log Pow for the whole substance.
Conclusion
Considering the results obtained for the target components and the similar substances, a Log Pow value > 7 can be considered as a reasonable estimation for the whole substance.
Information on Registered Substances comes from registration dossiers which have been assigned a registration number. The assignment of a registration number does however not guarantee that the information in the dossier is correct or that the dossier is compliant with Regulation (EC) No 1907/2006 (the REACH Regulation). This information has not been reviewed or verified by the Agency or any other authority. The content is subject to change without prior notice.
Reproduction or further distribution of this information may be subject to copyright protection. Use of the information without obtaining the permission from the owner(s) of the respective information might violate the rights of the owner.
