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Diss Factsheets
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EC number: 919-284-0 | 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
Toxicity to terrestrial plants
Administrative data
Link to relevant study record(s)
- Endpoint:
- toxicity to terrestrial plants: long-term
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- 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:
- Detailed information covering the calculation model, compositional data used as input, validity, applicability and adequacy of the result are in the attached document. The registered substance is a complex petroleum UVCB whose constituents have variable physicochemical properties. Therefore, a modeling framework is needed to account for the bioavailability of the constituents in the mixture, which was then used to predict the toxicity of the substance as a whole. The target lipid model (TLM) is a framework that relates toxicity to the physicochemical properties of a nonpolar organic constituent. The TLM, and HC5, have been applied to soils and sediment using equilibrium partitioning (EqP) model. This framework utilizes organic carbon partition coefficients (KOC) to convert aquatic based effect levels (CW) to bulk soil- and sediment-based effect levels. The combined TLM-EqP framework was validated previously for soil and sediment acute and chronic toxicity endpoints. The constituents in this substances are within the scope of the TLM and EqP frameworks. The model used for the calculations was the PETROTOX v4.0 model. PETROTOX is a well-documented and peer reviewed model that is widely used across the chemicals industry.
- Principles of method if other than guideline:
- The target lipid model (2015) and equilibrium partitioning model as described in the cited references were used to determine soil or sediment effect levels following an estimation of initial loading of the registered substance and its constituents in the substrate. A full explanation of the calculation method is provided in the 'attached justification'. For model description and justification of QSAR prediction: see fields 'justification for type of information' and 'attached justification'
- Species:
- Brassica rapa
- Plant group:
- Dicotyledonae (dicots)
- Species:
- Avena sativa
- Plant group:
- Monocotyledonae (monocots)
- Total exposure duration:
- 21 d
- Key result
- Species:
- Avena sativa
- Duration:
- 14 d
- Dose descriptor:
- other: EL50
- Effect conc.:
- 464.2 mg/kg soil dw
- Nominal / measured:
- estimated
- Conc. based on:
- other: QSAR prediction
- Basis for effect:
- seedling emergence
- Remarks on result:
- other: QSAR predicted value
- Key result
- Species:
- Avena sativa
- Duration:
- 21 d
- Dose descriptor:
- other: EL10
- Effect conc.:
- 88.9 mg/kg soil dw
- Nominal / measured:
- estimated
- Conc. based on:
- other: QSAR prediction
- Basis for effect:
- growth
- Remarks on result:
- other: ACR 5.22 (McGrath et al., 2018)
- Remarks:
- QSAR predicted value
- Key result
- Species:
- Brassica rapa
- Duration:
- 14 d
- Dose descriptor:
- other: EL50
- Effect conc.:
- 299.7 mg/kg soil dw
- Nominal / measured:
- estimated
- Conc. based on:
- other: QSAR prediction
- Basis for effect:
- seedling emergence
- Remarks on result:
- other: QSAR predicted value
- Key result
- Species:
- Brassica rapa
- Duration:
- 21 d
- Dose descriptor:
- other: EL10
- Effect conc.:
- 57.4 mg/kg soil dw
- Nominal / measured:
- estimated
- Conc. based on:
- other: QSAR prediction
- Basis for effect:
- growth
- Remarks on result:
- other: ACR 5.22 (McGrath et al., 2018)
- Remarks:
- QSAR predicted value
- Details on results:
- Chronic endpoints were estimated using typical acute-to-chronic ratio of 5.22 (McGrath et al., 2018).
- Validity criteria fulfilled:
- yes
- Conclusions:
- The toxicity of this substance to terrestrial plants has been predicted using the target lipid model (TLM) and HC5, and using the equilibrium partitioning (EqP) model. The predicted 14-d EL50 (seedling emergence) of this substance to Avena sativa is 464.2 mg/kg soil dw and the predicted 21-d EL10 (growth) is 88.9 mg/kg soil dw. The predicted 14-d EL50 (seedling emergence) of this substance to Brassica rapa is 299.7 mg/kg soil dw and the predicted 21-d EL10 (growth) is 57.4 mg/kg soil dw.
- Executive summary:
The registered substance is a complex petroleum UVCB whose constituents have variable physicochemical properties. Therefore, a modeling framework is needed to account for the bioavailability of the constituents in the mixture, which was then used to predict the toxicity of the substance as a whole. The target lipid model (TLM) and HC5, have been applied to soils and sediment using equilibrium partitioning (EqP) model. The model used for the calculations was the PETROTOX v4.0 model. PETROTOX is a well-documented and peer reviewed model that is widely used across the chemicals industry. As such, modelled data are considered fit for purpose.
The predicted 14-d EL50 (seedling emergence) of this substance to Avena sativa is 464.2 mg/kg soil dw and the predicted 21-d EL10 (growth) is 88.9 mg/kg soil dw.
The predicted 14-d EL50 (seedling emergence) of this substance to Brassica rapa is 299.7 mg/kg soil dw and the predicted 21-d EL10 (growth) is 57.4 mg/kg soil dw.
Reference
Description of key information
The registered substance is a complex petroleum UVCB whose constituents have variable physicochemical properties. Therefore, a modeling framework is needed to account for the bioavailability of the constituents in the mixture, which was then used to predict the toxicity of the substance as a whole. The target lipid model (TLM) and HC5, have been applied to soils and sediment using equilibrium partitioning (EqP) model. As such, modeled data are considered fit for purpose. The model used for the calculations was the PETROTOX v4.0 model. PETROTOX is a well-documented and peer reviewed model that is widely used across the chemicals industry.
Key value for chemical safety assessment
Additional information
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.