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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Link to relevant study record(s)

Referenceopen allclose all

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
February 2019
Reliability:
1 (reliable without restriction)
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:
Please refer to the QMRF and QPRF files provided under the section attached justification.
Qualifier:
according to guideline
Guideline:
other: ECHA Guidance on information requirements and chemical safety assessment Chapter R.6: QSARs and grouping of chemicals
Version / remarks:
May 2008
Principles of method if other than guideline:
Estimates the log octanol-water partition coefficient, log KOW, of chemicals using an atom/fragment contribution method.
GLP compliance:
no
Type of method:
calculation method (fragments)
Partition coefficient type:
octanol-water
Specific details on test material used for the study:
SMILES: O=C(OCCCOC(=O)CCCCCCC)CCCCCCC
Key result
Type:
log Pow
Partition coefficient:
6.79
Temp.:
25 °C
Remarks on result:
other: QSAR predicted value. The substance is within the applicability domain of the model.

Applicability Domain of KOWWIN v1.68

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Model:

KOWWIN v1.68

 

Substance:

3-octanoyloxypropyl octanoate

 

CAS:

56519-71-2

 

SMILES:

O=C(OCCCOC(=O)CCCCCCC)CCCCCCC

 

Molecular Weight:

328,5

 

 

 

 

 

 

 

 

 

 

Molecular weight

Minimum

Maximum

Average

 

 

 

 

 

Training set

18,02

719,92

199,98

 

 

 

 

 

Validation set

27,03

991,15

258,98

 

 

 

 

 

Assessment of molecular weight

Molecular weight within range of training and validation set.

 

 

 

 

 

 

 

 

 

Appendix D: KOWWIN Fragments, Correction Factors, Coefficients and Frequency

 

 

 

 

 

 

The Tables below lists KOWWIN Fragment and Correction Factor descriptors with their coefficient values (Coef). 

 

Max = maximum number of the fragment or correction factor that occurs in any individual compound

 

Number = the number of individual compounds having the fragment or correction factor in the dataset 

 

The training dataset includes a total of 2447 compounds. 

 

The validation dataset includes a total of 10946 compounds.  

 

 

 

 

 

 

 

 

 

 

Part 1: Fragments

 

 

 

 

 

 

 

 

Fragment

Descriptor

Coef

Training Set

Validation Set

No. of instances of each fragment for the current substance

.

 

 

 

 

Max

Number

Max

Number

 

-CH3

[aliphatic carbon]

0,5473

13

1401

20

7413

2

 

-CH2-

[aliphatic carbon]

0,4911

18

1083

28

7051

15

 

-C(=O)O  

[ester, aliphatic attach]

-0,9505

3

113

6

1178

2

 

Part 2: Correction Factors

 

 

 

 

 

 

.

 

Correction Factor Descriptor

Coef

Training Set

Validation Set

No. of instances of each correction factor for the current substance

.

 

Max

Number

Max

Number

 

Conclusions:
Using KOWWIN v1.68 the logPow of the test item was calculated to be 6.79 at 25 °C. The substance is within the applicability domain of the model.
Executive summary:

The logPow was calculated using KOWWIN v1.68 as part of EPISuite v4.11 from US Environmental Protection Agency.

Using KOWWIN v1.68 the log Kow of the test item was calculated to be 6.79 at 25 °C (EPI Suite, 2014).

The adequacy of a prediction depends on the following conditions:

a) the (Q)SAR model is scientifically valid: the scientific validity is established according to the OECD principles for (Q)SAR validation;

b) the (Q)SAR model is applicable to the query chemical: a (Q)SAR is applicable if the query chemical falls within the defined applicability domain of the model;

c) the (Q)SAR result is reliable: a valid (Q)SAR that is applied to a chemical falling within its applicability domain provides a reliable result;

d) the (Q)SAR model is relevant for the regulatory purpose.

 

For assessment and justification of these 4 requirements the QMRF and QPRF files were developed and attached to this study record.

 

Description of the prediction Model

The prediction model was descripted using the harmonised template for summarising and reporting key information on (Q)SAR models. For more details please refer to the attached QSAR Model Reporting Format (QMRF) file. 

 

Assessment of estimation domain

The assessment of the estimation domain was documented in the QSAR Prediction Reporting Format file (QPRF). Please refer to the attached document for the details of the prediction and the assessment of the estimation domain.

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
February 2019
Reliability:
1 (reliable without restriction)
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:
Please refer to the QMRF and QPRF files provided under the section attached justification.
Qualifier:
according to guideline
Guideline:
other: ECHA Guidance on information requirements and chemical safety assessment Chapter R.6: QSARs and grouping of chemicals
Version / remarks:
May 2008
Principles of method if other than guideline:
Estimates the log octanol-water partition coefficient, log KOW, of chemicals using an atom/fragment contribution method.
GLP compliance:
no
Type of method:
calculation method (fragments)
Partition coefficient type:
octanol-water
Specific details on test material used for the study:
SMILES: CCCCCCCCCC(=O)OCCCOC(=O)CCCCCCCCC
Key result
Type:
log Pow
Partition coefficient:
8.75
Temp.:
25 °C
Remarks on result:
other: QSAR predicted value. The substance is within the applicability domain of the model.

Applicability Domain of KOWWIN v1.68

 

 

 

 

 

 

Model:

KOWWIN v1.68

 

Substance:

3-decanoyloxypropyl decanoate

 

CAS:

not available

 

SMILES:

CCCCCCCCCC(=O)OCCCOC(=O)CCCCCCCCC

 

Molecular Weight:

284,6

 

Molecular weight

Minimum

Maximum

Average

 

 

 

 

 

Training set

18,02

719,92

199,98

 

 

 

 

 

Validation set

27,03

991,15

258,98

 

 

 

 

 

Assessment of molecular weight

Molecular weight within range of training and validation set.

 

 

 

 

 

 

 

 

 

Appendix D: KOWWIN Fragments, Correction Factors, Coefficients and Frequency

 

 

 

 

 

 

The Tables below lists KOWWIN Fragment and Correction Factor descriptors with their coefficient values (Coef). 

 

Max = maximum number of the fragment or correction factor that occurs in any individual compound

 

Number = the number of individual compounds having the fragment or correction factor in the dataset 

 

The training dataset includes a total of 2447 compounds. 

 

The validation dataset includes a total of 10946 compounds.  

 

Part 1: Fragments

 

 

 

 

 

 

 

 

Fragment

Descriptor

Coef

Training Set

Validation Set

No. of instances of each fragment for the current substance

.

 

 

 

 

Max

Number

Max

Number

 

-CH3

[aliphatic carbon]

0,5473

13

1401

20

7413

2

 

-CH2-

[aliphatic carbon]

0,4911

19

1083

28

7051

19

 

-C(=O)O  

[ester, aliphatic attach]

-0,9505

3

113

6

1178

2

 

Part 2: Correction Factors

 

 

 

 

 

 

.

 

Correction Factor Descriptor

Coef

Training Set

Validation Set

No. of instances of each correction factor for the current substance

.

 

Max

Number

Max

Number

 

Conclusions:
Using KOWWIN v1.68 the logPow of the test item was calculated to be 8.75 at 25 °C. The substance is within the applicability domain of the model.
Executive summary:

The logPow was calculated using KOWWIN v1.68 as part of EPISuite v4.11 from US Environmental Protection Agency.

Using KOWWIN v1.68 the log Kow of the test item was calculated to be 8 .75 at 25 °C (EPI Suite, 2014).

The adequacy of a prediction depends on the following conditions:

a) the (Q)SAR model is scientifically valid: the scientific validity is established according to the OECD principles for (Q)SAR validation;

b) the (Q)SAR model is applicable to the query chemical: a (Q)SAR is applicable if the query chemical falls within the defined applicability domain of the model;

c) the (Q)SAR result is reliable: a valid (Q)SAR that is applied to a chemical falling within its applicability domain provides a reliable result;

d) the (Q)SAR model is relevant for the regulatory purpose.

 

For assessment and justification of these 4 requirements the QMRF and QPRF files were developed and attached to this study record.

 

Description of the prediction Model

The prediction model was descripted using the harmonised template for summarising and reporting key information on (Q)SAR models. For more details please refer to the attached QSAR Model Reporting Format (QMRF) file. 

 

Assessment of estimation domain

The assessment of the estimation domain was documented in the QSAR Prediction Reporting Format file (QPRF). Please refer to the attached document for the details of the prediction and the assessment of the estimation domain.

Endpoint:
partition coefficient
Data waiving:
study technically not feasible
Justification for data waiving:
the study does not need to be conducted because the substance does not dissolve in water or in octanol

Description of key information

With two components of the substance the following results were calculated:

Partition coefficient (3-octanoyloxypropyl octanoate): 6.79

Partition coefficient (3-decanoyloxypropyl decanoate): 8.75

Key value for chemical safety assessment

Log Kow (Log Pow):
7.77

Additional information

No test with the test item is possible, as the water solubility of the test item is below 0.15 mg/L. With two components of the UVCB the following results were calculated:

The logPow was calculated using KOWWIN v1.68 as part of EPISuite v4.11 from US Environmental Protection Agency.

Using KOWWIN v1.68 the log Kow of the test items was calculated to be 6.79 and 8.75 at 25 °C (EPI Suite, 2014).

The adequacy of a prediction depends on the following conditions:

a) the (Q)SAR model is scientifically valid: the scientific validity is established according to the OECD principles for (Q)SAR validation;

b) the (Q)SAR model is applicable to the query chemical: a (Q)SAR is applicable if the query chemical falls within the defined applicability domain of the model;

c) the (Q)SAR result is reliable: a valid (Q)SAR that is applied to a chemical falling within its applicability domain provides a reliable result;

d) the (Q)SAR model is relevant for the regulatory purpose.

 

For assessment and justification of these 4 requirements the QMRF and QPRF files were developed and attached to this study record.

 

Description of the prediction Model

The prediction model was descripted using the harmonised template for summarising and reporting key information on (Q)SAR models. For more details please refer to the attached QSAR Model Reporting Format (QMRF) file. 

 

Assessment of estimation domain

The assessment of the estimation domain was documented in the QSAR Prediction Reporting Format file (QPRF). Please refer to the attached document for the details of the prediction and the assessment of the estimation domain.