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EC number: 254-052-6 | CAS number: 38640-62-9
- 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

Biodegradation in soil
Administrative data
Link to relevant study record(s)
- Endpoint:
- biodegradation in soil: simulation testing
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- 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:
- 1. SOFTWARE
Vega version 1.1.4
2. MODEL (incl. version number)
Persistence in soil Model version 1.0.0
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
See “Test material information”
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
See attached information on the model provided by the developer. Further information on the OECD criteria as outlined by the applicant is provided below under "Any other information of materials and methods incl. tables"
5. APPLICABILITY DOMAIN
See attached information and information as provided in "Any other information on results incl. tables".
6. ADEQUACY OF THE RESULT
See assessment of adequacy as outlined in the "Overall remarks, attachments" section. - Qualifier:
- according to guideline
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- - Software tool(s) used including version: Vega v1.1.4
- Model(s) used: Persistence in soil Model version 1.0.0
Full reference and details of the used formulas can be found in:
A. Manganaro, F. Pizzo, A. Lombardo, A. Pogliaghi, E. Benfenati, “Predicting persistence in the sediment compartment with a new automatic software based on the k-Nearest Neighbor (k-NN) algorithm”, Chemosphere (2015), accepted paper.
Gouin, T., Cousins, I., Mackay, D., “Comparison of two methods for obtaining degradation halflives”, Chemosphere 56, 2004, 531-535
Gramatica, P., Papa, E., “Screening and ranking of POPs for Global Half-Life: QSAR approaches for prioritization based on molecular structure”, Environ. Sci. Technol. 41, 2007, 2833-9.
- Model description: see field 'Justification for non-standard information', 'Attached justification' and 'any other information on Material and methods'
- Justification of QSAR prediction: see field 'Justification for type of information', 'Attached justification' and/or 'overall remarks' - GLP compliance:
- no
- Radiolabelling:
- no
- Oxygen conditions:
- aerobic
- Remarks on result:
- other: DIPN was predicted to be nP/P: Not persistent (nP) in soil but values falling near to the persistent (P) treshold of 120 days
- Transformation products:
- not specified
- Endpoint:
- biodegradation in soil: simulation testing
- Data waiving:
- other justification
- Justification for data waiving:
- other:
- Transformation products:
- no
Referenceopen allclose all
For detailed information on the results please refer to the attached report.
Description of key information
For bis(isopropyl)naphthalene (DIPN; CAS 38640-62-9) no simulation studies on degradation in soil are available. The persistence of DIPN in soil was estimated using the QSAR model VEGA 1.1.4 “Persistence (soil) model” (IRFMN) 1.0.0. For DIPN the model predicts a not entirely certain situation (class nP/P) with a DT50 value falling below but near the P threshold of 120 days. DIPN falls into the applicability domain of the model and the performance of the model on similar molecules is good. The prediction is used as supporting information within a weight of evidence approach for the persistence assessment of bis(isopropyl)naphthalene (CAS 38640-62-9). Based on all available information the isomeric mixture bis(isopropyl)naphthalene (CAS 38640-62-9) needs to be assessed as potentially persistent (P) and/or very persistent (vP). No substantial new findings can be expected from further simulation tests with DIPN isomers. Therefore, further testing is not intended.
Key value for chemical safety assessment
Additional information
QSAR predictions for DIPN degradation in soil
The persistence of DIPN in soil was estimated using the QSAR model VEGA 1.1.4 “Persistence (soil) model” (IRFMN) 1.0.0. For DIPN the model predicts a not entirely certain situation (class nP/P) with a DT50 value falling below but near the P threshold of 120 days. DIPN falls into the applicability domain of the model and the performance of the model on similar molecules is good. The use of the prediction as supporting information within a weight of evidence approach for the persistence assessment of the isomeric mixture bis(isopropy)naphthalene (CAS 38640-62-9) is considered acceptable.
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.

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