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Diss Factsheets
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EC number: 701-314-7 | 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 soil macroorganisms except arthropods
Administrative data
- Endpoint:
- toxicity to soil macroorganisms except arthropods: long-term
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- Study period:
- 2019
- 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, Alkenes, C6-11, hydroformylation products, distillation residues, heavy cracked fractions, is a complex mixture whose constituents within the mixture 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.
An exposure assessment (ECETOC TRAv3) was performed using representative constituents from each compositional category. RCR values of the individual constituents were summed to estimate the RCR values for Alkenes, C6-11, hydroformylation products, distn. residues, heavy cracked fraction.
Data source
Referenceopen allclose all
- Reference Type:
- publication
- Title:
- Refinement and validation of TLM-derived HC5 values. Independent review.
- Author:
- McGrath JA, Di Toro DM, Fanelli CJ
- Year:
- 2 015
- Bibliographic source:
- HDR, Mahwah, NJ
- Reference Type:
- publication
- Title:
- Extension and validation of the target lipid model for deriving predicted no-effect concentrations for soils and sediments
- Author:
- Redman AD, Parkerton TF, Paumen ML, McGrath JA, den Haan K, DiToro DM
- Year:
- 2 014
- Bibliographic source:
- Envrionmental Toxicology and Chemistry Vol. 33, No. 12, pp. 2679-2687 (2014)
Materials and methods
- Principles of method if other than guideline:
- The target lipid model (2015) and equilibrium partitioning model (2014) 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'
Test material
- Reference substance name:
- Alkenes, C6-11 (branched), hydroformylation products, distn. residues, heavy cracked fraction
- EC Number:
- 701-314-7
- Molecular formula:
- CnH2n+2O2. n=24-33
- IUPAC Name:
- Alkenes, C6-11 (branched), hydroformylation products, distn. residues, heavy cracked fraction
Constituent 1
- Specific details on test material used for the study:
- Alkenes, C6-11, hydroformylation products, distn. residues, heavy cracked fraction is a UVCB substance consisting of a number of oxygenated hydrocarbon components, covering a wide range of carbon numbers and structures. The relevant components were determined based on the best available analytical data and process knowledge (see dossier sections 1.2 Composition and 1.4 Analytical methods). The relevant components are based upon a range of branching of the molecules that make up the dimer and trimer molecules, and again, are based on the best available analytical data, and process knowledge. The representative structures and relative mass balance for each group of constituents are presented in the attached document.
Test organisms
- Test organisms (species):
- Eisenia fetida
- Animal group:
- annelids
Results and discussion
Effect concentrationsopen allclose all
- Duration:
- 28 d
- Dose descriptor:
- LC50
- Effect conc.:
- 34 mg/kg soil dw
- Nominal / measured:
- nominal
- Conc. based on:
- test mat.
- Basis for effect:
- mortality
- Duration:
- 56 d
- Dose descriptor:
- EC10
- Effect conc.:
- 6.8 mg/kg soil dw
- Nominal / measured:
- nominal
- Conc. based on:
- test mat.
- Basis for effect:
- reproduction
- Remarks on result:
- other: chronic endpoints were estimated using typical acute-to-chronic ratio of 5
Applicant's summary and conclusion
- Executive summary:
The registered substance, Alkenes, C6-11, hydroformylation products, distillation residues, heavy cracked fractions, is a complex mixture whose constituents within the mixture 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. Further, an exposure assessment was performed using representative constituents, and RCR values of the individual constituents were summed to estimate the RCR values for the registered substance. RCR values below 1 were safely achieved for soil, freshwater and marine sediments, indicating a low level of risk to these environmental compartments. As such, modeled data are considered fit for purpose.
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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