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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.
The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.
Diss Factsheets
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EC number: 205-465-5 | CAS number: 141-17-3
- 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
Genetic toxicity: in vivo
Administrative data
- Endpoint:
- genetic toxicity in vivo
- Remarks:
- Type of genotoxicity: other: in silico prediction
- Type of information:
- (Q)SAR
- Adequacy of study:
- supporting study
- Study period:
- 2013
- Reliability:
- 2 (reliable with restrictions)
- Justification for type of information:
- QSAR prediction: migrated from IUCLID 5.6
Data source
Reference
- Reference Type:
- study report
- Title:
- Unnamed
- Year:
- 2 013
- Report date:
- 2013
Materials and methods
- Principles of method if other than guideline:
- QSAR approach: Different tools were used, when possible, in order to apply a consensus approach and thus enhance the reliability of the predictions. In fact, a single in silico prediction model may provide acceptable results. However, by definition all models are simulation of reality, and therefore they will never be completely accurate; sometimes a single model will not work. When multiple models and multiple approaches are combined in a single consensus score, more accurate predictions can be achieved.
If two prediction methods that use data and different approaches are consistent, the reliability of prediction is better. The errors of a model/approach should be different from another, and therefore compensate.
Several computational tools are nowadays available for applying in silico approaches. Among them, for QSAR predictions the following was selected and used for the endpoint:
Leadscope Model Applier (Leadscope, Inc.) (version 1.4.6-2) is a chemoinformatic platform that provides QSAR for the prediction of potential toxicity and adverse human clinical effects of pharmaceuticals, cosmetics, food ingredients and other chemicals. The Models are constructed by FDA scientists based on both proprietary and non-proprietary data. Predictions are provided together with several parameters which can be used to assess the prediction in terms of applicability domain. The robustness of the prediction can be further evaluated by examining compounds similar to the target from the training set. - GLP compliance:
- no
Test material
- Reference substance name:
- Bis(2-(2-butoxyethoxy)ethyl) adipate
- EC Number:
- 205-465-5
- EC Name:
- Bis(2-(2-butoxyethoxy)ethyl) adipate
- Cas Number:
- 141-17-3
- Molecular formula:
- C22H42O8
- IUPAC Name:
- bis(2-(2-butoxyethoxy)ethyl) adipate
- Test material form:
- other: liquid
Constituent 1
Results and discussion
Any other information on results incl. tables
Leadscope chromosome aberration in vivo on other rodent predictions:
Chemical
|
Leadscope Prediction call |
Leadscope Positive Prediction probability |
Prediction reliability parameters |
||
Model Fragment Count |
30% Sim. Training Neighbors Count |
Reliability assessment
|
|||
Bis(2-(2-butoxyethoxy)ethyl) adipate
|
NEGATIVE |
0.03 |
9 |
5 |
RELIABLE |
Applicant's summary and conclusion
- Conclusions:
- Interpretation of results (migrated information): negative
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.