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EC number: 603-121-2 | CAS number: 126121-35-5
- Life Cycle description
- Uses advised against
- Endpoint summary
- Appearance / physical state / colour
- Melting point / freezing point
- Boiling point
- Density
- Particle size distribution (Granulometry)
- Vapour pressure
- Partition coefficient
- Water solubility
- Solubility in organic solvents / fat solubility
- Surface tension
- Flash point
- Auto flammability
- Flammability
- Explosiveness
- Oxidising properties
- Oxidation reduction potential
- Stability in organic solvents and identity of relevant degradation products
- Storage stability and reactivity towards container material
- Stability: thermal, sunlight, metals
- pH
- Dissociation constant
- Viscosity
- Additional physico-chemical information
- Additional physico-chemical properties of nanomaterials
- Nanomaterial agglomeration / aggregation
- Nanomaterial crystalline phase
- Nanomaterial crystallite and grain size
- Nanomaterial aspect ratio / shape
- Nanomaterial specific surface area
- Nanomaterial Zeta potential
- Nanomaterial surface chemistry
- Nanomaterial dustiness
- Nanomaterial porosity
- Nanomaterial pour density
- Nanomaterial photocatalytic activity
- Nanomaterial radical formation potential
- Nanomaterial catalytic activity
- Endpoint summary
- Stability
- Biodegradation
- Bioaccumulation
- Transport and distribution
- Environmental data
- Additional information on environmental fate and behaviour
- Ecotoxicological Summary
- Aquatic toxicity
- Endpoint summary
- Short-term toxicity to fish
- Long-term toxicity to fish
- Short-term toxicity to aquatic invertebrates
- Long-term toxicity to aquatic invertebrates
- Toxicity to aquatic algae and cyanobacteria
- Toxicity to aquatic plants other than algae
- Toxicity to microorganisms
- Endocrine disrupter testing in aquatic vertebrates – in vivo
- Toxicity to other aquatic organisms
- Sediment toxicity
- Terrestrial toxicity
- Biological effects monitoring
- Biotransformation and kinetics
- Additional ecotoxological information
- Toxicological Summary
- Toxicokinetics, metabolism and distribution
- Acute Toxicity
- Irritation / corrosion
- Sensitisation
- Repeated dose toxicity
- Genetic toxicity
- Carcinogenicity
- Toxicity to reproduction
- Specific investigations
- Exposure related observations in humans
- Toxic effects on livestock and pets
- Additional toxicological data
Partition coefficient
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:
- 2 010
- 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
- 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 %
Constituent 1
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.
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