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Diss Factsheets
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EC number: 219-943-6 | CAS number: 2580-56-5
- 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
Skin sensitisation
Administrative data
- Endpoint:
- skin sensitisation, other
- Remarks:
- QSAR prediction
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- accepted calculation method
- Justification for type of information:
- SOFTWARE: QSAR DYES R&C
Report produced by version QSAR dyes R&C 2.1
Further details are available in the attached document.
Data source
Reference
- Reference Type:
- other: QSAR report
- Title:
- Unnamed
- Year:
- 2 017
Materials and methods
- Principles of method if other than guideline:
- QSAR prediction. Details on the QSAR model are available in the attachment, i.e. QSAR model reporting (QMRF).
- GLP compliance:
- no
- Type of study:
- other: QSAR prediction
Test material
- Reference substance name:
- Basic Blue 026 chloride
- IUPAC Name:
- Basic Blue 026 chloride
Constituent 1
Results and discussion
In vitro / in chemico
Results
- Parameter:
- other: QSAR prediction
- Remarks on result:
- positive indication of skin sensitisation
Applicant's summary and conclusion
- Interpretation of results:
- other: skin sensitising according to the CLP Regulation (EC 1272/2008)
- Conclusions:
- Skin sensitising potential, based on a prediction by a suitable QSAR model.
- Executive summary:
Method
QSAR prediction. The skin sensitisation prediction of the target molecule is obtained by the k-Nearest Neighbours (kNN) strategy [Kowalski 1972], which is a well-known non-parametric classification method based on the concept of similarity. The predicted value for a molecule is usually computed on the basis of the frequency (or weighted frequency) of the experimental classes of its k nearest neighbours. In the skin sensitisation QSAR model, the sensitisation effects (sensitising or not sensitising) of the nearest molecules are used to predict the target sensitisation and to calculate a reliability score of the prediction. The kNN approach has been implemented with a variable k parameter and the prediction has been calculated as the similarity weighted average of the responses of the k nearest molecules to allow the most similar molecules to mainly contribute to the prediction. The reliability score is a measure of the prediction reliability. It ranges from 0 to 1: 1 indicates that all the nearest molecules belong to the same experimental class and are very similar to the target. Note that along with the reliability score also the number of similar structures used for prediction should be accounted for evaluating the prediction confidence.
Results
Prediction was in applicability domain. Target molecule resulted as skin sensitising.
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