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Diss Factsheets

Physical & Chemical properties

Partition coefficient

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Administrative data

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
19 May 2018
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:
1. SOFTWARE
EPISUITE

2. MODEL (incl. version number)
KOWWIN v1.68 (september 2010)

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL

CAS NUMBER: 126121-35-5
SMILES: CCCCCCCCCCC(CCCCCCCC)COC(=O)CC(O)(CC(=O)OCC(CCCCCCCC)CCCCCCCCCC)C(=O)OCC(CCCCCCCC)CCCCCCCCCC
NAME: 1,2,3-tris(2-octyldodecyl) 2-hydroxypropane-1,2,3-tricarboxylate

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint: Log Kow at 25 °C

- Unambiguous algorithm:
Two separate regression analyses were performed.  The first regression related log P to atom/fragments of compounds that do not require correction factors (i.e., compounds estimated adequately by fragments alone).  The general regression equation has the following form:

 log P  = Σ(fini ) +  b     (Equation 1)

where Σ(fini )  is the summation of fi (the coefficient for each atom/fragment) times ni (the number of times the atom/fragment occurs in the structure) and b  is the linear equation constant.  This initial regression used 1120 compounds of the 2447 compounds in the total training dataset.

The correction factors were then derived from a multiple linear regression that correlated differences between the experimental (expl) log P and the log P estimated by Equation 1 above with the correction factor descriptors.  This regression did not utilize an additional equation constant.  The equation for the second regression is:

 lop P (expl)  -  log P (eq 1)  = Σ(cjnj )       (Equation 1)

where Σ(cjnj )  is the summation of cj (the coefficient for each correction factor) times nj  (the number of times the correction factor occurs (or is applied) in the molecule).

Regression Results

Results of the two successive multiple regressions (first for atom/fragments and second for correction factors) yield the following general equation for estimating log P of any organic compound:

 log P  = Σ(fini ) + Σ(cjnj ) + 0.229     (Equation 3)

(num = 2447,   r2 = 0.982,  std dev = 0.217,  mean error = 0.159)

Appendix D lists KOWWIN atom/fragment and correction factor descriptors with corresponding coefficient values. Appendix D also includes the number of compounds in the training and validation datasets containing each descriptor and the maximum number of instances that each descriptor occurs in any single compound.

The statistical accuracy of KOWWIN is described in section 6.2. KOWWIN Estimation Accuracy.
- Defined domain of applicability:
See "Accuracy & Domain.pdf" appended below.


5. APPLICABILITY DOMAIN
See "Accuracy & Domain.pdf" appended below.

6. ADEQUACY OF THE RESULT
The QSAR model was used as the water solubility of the test substance fell below the limit of quantification in an experimental test. The result is of the order of magnitude indicated in the experimental test. The model has been fully validated by a reputable government agency. The result is therefore considered adequatly reliable for use as the basis of the classification and labelling and PBT/vPvB assessment.

Data source

Reference
Reference Type:
publication
Title:
EPI Suite V4.11 - KOWWIN
Year:
2010
Bibliographic source:
KOWWIN v1.68 - Meylan and Howard, 1992

Materials and methods

Test guideline
Qualifier:
no guideline required
Principles of method if other than guideline:
The QSAR model was used as the water solubility of the test substance fell below the limit of quantification in an experimental test. The model has been fully validated by a reputable government agency. The result is therefore considered adequatly reliable for use as the basis of the classification and labelling and PBT/vPvB assessment.
GLP compliance:
yes (incl. QA statement)
Type of method:
calculation method (fragments)
Partition coefficient type:
octanol-water

Test material

Constituent 1
Chemical structure
Reference substance name:
1,2,3-tris(2-octyldodecyl) 2-hydroxypropane-1,2,3-tricarboxylate
EC Number:
603-121-2
Cas Number:
126121-35-5
Molecular formula:
C66H128O7
IUPAC Name:
1,2,3-tris(2-octyldodecyl) 2-hydroxypropane-1,2,3-tricarboxylate
Test material form:
liquid
Details on test material:
Tris(octyldodecyl) citrate 99.87 %
Bis(octyldodecyl) citrate 0.13 %

Results and discussion

Partition coefficient
Key result
Type:
log Pow
Partition coefficient:
26.63
Temp.:
25 °C
Remarks on result:
other: QSAR: pH not determined

Applicant's summary and conclusion

Conclusions:
The QSAR model KOWWIN v1.68 calculated the partition coefficient of the test material to be Log Pow 26.63 at 25 °C.
Executive summary:

In this validated QSAR (KOWWIN) study, conducted with GLP certification, the partition coefficient of the test material was determined to be Log Pow 26.68 at 25 °C.