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Diss Factsheets
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EC number: 947-835-5 | CAS number: -
- 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
Link to relevant study record(s)
Description of key information
Log Pow > 10 (QSAR models: VEGA / ALogP version 1.0.0; EPI Suite / KOWWIN version 1.68, SPARC v4.6)
Key value for chemical safety assessment
Additional information
Explanation of the results
For the three evaluated components of the substance, the Log Pow values as estimated by the VEGA/ALogP, EPI Suite/KOWWIN and SPARC models are reported.
Evaluation of component |
VEGA / ALogP |
EPI Suite / KOWWIN |
SPARC |
SU_1RU |
11.83 |
13.55 |
11.9 |
SU_3RU |
21.61 |
25.3 |
19.61 |
SU_4RU |
26.49 |
31.18 |
22.87 |
Discussion
Based on the applicability domain (AD) evaluation performed by the VEGA, as well as on the molecular weights and predicted Log Pow values, the three components are not fully compliant with the applicability domain of the VEGA / ALogP model.
A similar situation applies also to the EPI Suite / KOWWIN model: the molecular weights of the evaluated molecules exceed the range defined by the training set and some of the fragments used for calculation exceed the maximum number of instances present in the training set.
The similarity of the most similar substances identified by VEGA is low; the evaluation of the performances of Meylan and ALogP models of these molecules is therefore deemed to be not useful to support the predicted values for the target ones.
SPARC has 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. It is however not possible to perform a clear evaluation of the model’s applicability domain.
The three target molecules are characterized by very long carbon chains and high molecular weights (> 600). Based on these characteristics high Log Pow values could be expected. The models provided similar estimations for the three components, with Log Pow values always > 10.
Conclusion
Considering the results obtained for the representative components, using three different (Q)SAR models, a Log Pow value > 10 can be safely estimated for the target substance.
Consideration on the different grades
The components of the UVCB substance are essentially composed by the same subunits: a "starting unit" and one or more "repeated unit". The two grades of the substance differ by the presence of "bigger" components in Grade Two.
As the Log Pow of the smaller component is estimated to be > 10, the final result is considered as valid for both grades.
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.
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