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EC number: 227-492-1 | CAS number: 5858-51-5
- 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

Biodegradation in water: screening tests
Administrative data
- Endpoint:
- biodegradation in water: ready biodegradability
- Type of information:
- other: expert judgement based on available data
- Adequacy of study:
- key study
- Study period:
- 2018
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- accepted calculation method
- Justification for type of information:
- 1. SOFTWARE: EPI Suite
2. MODEL: v4.11
3. BIODEGRADATION MODELS
Linear model (Biowin1)
The fast biodegradation probability for any compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), and then adding this summation to the equation constant which is 0.7475.
Non-linear model (Biowin2)
Calculation of the fast biodegradation probability for any compound begins by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), then adding this summation to the equation constant which is 3.0087. The non-linear fast biodegradation probability is then calculated from the logistic equation, where total = 3.0087 + the summation as described above:
non-linear probability = exp(total) / (1 + exp(total) )
Ultimate and primary survey model (Biowin3 and Biowin4)
These two models estimate the time required for "complete" ultimate and primary biodegradation. Primary biodegradation is the transformation of a parent compound to an initial metabolite. Ultimate biodegradation is the transformation of a parent compound to carbon dioxide and water, mineral oxides of any other elements present in the test compound, and new cell material. The models are based upon a survey of 17 biodegradation experts conducted by EPA, in which the experts were asked to evaluate 200 compounds in terms of the time required to achieve ultimate and primary biodegradation in a typical or "evaluative" aquatic environment (Boethling et al. 1994). Each expert rated the ultimate and primary biodegradation of each compound on a scale of 1 to 5. The ratings correspond to the following time units: 5 - hours; 4 - days; 3 - weeks; 2 - months; 1 - longer. It should be noted that the ratings are only semi-quantitative and are not half-lives.
The ultimate or primary rating of a compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), and then adding this summation to the equation constant which is 3.1992 for Biowin3 and 3.8477 for Biowin4.
Calculated rating Words assigned, representing expected total
(numerical value from model) degradation time
>4.75 - 5 hours
>4.25 - 4.75 hours to days
>3.75 - 4.25 days
>3.25 - 3.75 days to weeks
>2.75 - 3.25 weeks
>2.25 - 2.75 weeks to months
>1.75 - 2.25 months
<1.75 recalcitrant
Linear and Non-Linear MITI Biodegradation Model (Biowin 5 and Biowin 6)
Under its Chemical Substances Control Law (CSCL), the Japanese have tested approximately 900 discrete substances in the Ministry of International Trade and Industry (MITI)-1 test. This protocol for determining ready biodegradability is among six officially approved as ready biodegradability test guidelines of the OECD (Organization for Economic Cooperation and Development). A total dataset of 884 chemicals was compiled to derive the fragment probability values that are applied in this MITI Biodegradability method. The dataset consists of 385 chemical that were critically evaluated as "readily degradable" and 499 chemicals that were critically evaluated as "not readily biodegradable".
The 884 compound dataset was divided into a training dataset (589 compounds) and a validation dataset (295 compounds). The critical biodegradation evaluations (results of the MITI tests) were either "readily degradable" or "not readily degradable"; "readily degradable" was assigned a numeric value of 1 and "not readily degradable" was assigned a numeric value of 0 (0 to 1 is the full probability range). The basic approach for deriving the fragment values is very similar to the approach used for the original linear/non-linear model described above.
Although the majority of fragments in the new MITI models are identical to fragments in the models described above, the new MITI models incorporate various changes. For example, to provide fuller characterization of alkyl chain length and branching, the original C4 terminal alkyl group fragment was replaced with a fragment set consisting of -CH3, -CH2 (both linear and ring types), -CH (both linear and ring types), and -C=CH (alkenyl hydrogen). The final MITI models contain 42 fragments and molecular weight as independent variables.
Anaerobic Biodegradation Model (Biowin 7)
Biowin7 estimates the probability of fast biodegradation under methanogenic anaerobic conditions; specifically, under the conditions of the "serum bottle" anaerobic biodegradation screening test (Meylan et al. 2007). A total of 169 compounds with serum bottle test data were identified for use in model development. This data set was not separated into separate training and validation sets: all available compounds were used for the regression. Each compound was scored "pass" or "fail" using 60% of theoretical gas production in 56 days (i.e. normal test duration) as the pass criterion; for model regression, Pass=1 and Fail=0.A set of 37 fragments was developed using existing fragments from the other BIOWIN models. Molecular weight is not used as a predictive variable. The probability of fast biodegradation for any compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound, and then adding this summation to the equation constant which is 0.8361.
Data source
Reference
- Reference Type:
- other: expert judgement
- Title:
- Unnamed
- Year:
- 2 018
Materials and methods
Test guideline
- Guideline:
- other: REACH Guidance on QSARs R.6
Test material
- Reference substance name:
- Acid Brown 4
- IUPAC Name:
- Acid Brown 4
- Test material form:
- solid: particulate/powder
Constituent 1
Study design
- Inoculum or test system:
- other: expert judgement
Results and discussion
% Degradation
- Parameter:
- probability of ready biodegradability (QSAR/QSPR)
- Remarks on result:
- not readily biodegradable based on QSAR/QSPR prediction
Any other information on results incl. tables
Ready Biodegradability Prediction: YES or NO
The criteria for the YES or NO prediction are as follows: if the Biowin3 (ultimate survey model) result is "weeks" or faster (i.e. days, days to weeks, or weeks) AND the Biowin5 (MITI linear model) probability is >= 0.5, then the prediction is YES (readily biodegradable). If this condition is not satisfied, the prediction is NO (not readily biodegradable).
This method is based on the application of Bayesian analysis to ready biodegradation data for US Premanufacture Notification (PMN) chemicals, derived collectively from all six OECD 301 test methods plus OECD 310. The approach is fully described in Boethling et al. (2004).
The linear and nonlinear MITI models (Biowin5 and 6) also predict ready biodegradability, but for degradation in the OECD301C test only, and based exclusively on data from the Chemicals Evaluation and Research Institute Japan (CERIJ) database (http://www.cerij.or.jp/ceri_en/otoiawase/otoiawase_menu.html).
Applicant's summary and conclusion
- Validity criteria fulfilled:
- not applicable
- Remarks:
- estimation by EPI Suite
- Interpretation of results:
- not readily biodegradable
- Conclusions:
- Based on prediction carried out by EPI Suite, the substance resulted as non ready biodegradable.
- Executive summary:
Method
Estimate of probability of rapid biodegradation relying on BIOWIN v4.10 in EPI Suite prediction tool. The overall assessment is based on the responses given by different predictive models for biodegradability under various conditions: linear and non-linear models, ultimate and primary survey models, MITI linear and non-linear models, anaerobic linear model.
Results
The substance was predicted to be not ready biodegradable.
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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