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EC number: 226-133-6 | CAS number: 5292-43-3
- 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
Endpoint summary
Administrative data
Description of key information
Additional information
There are no experimental/literature available data on tert-butyl bromoacetate, thus the environmental fate and pathway has been investigated using data calculated by estimation tools.
Endpoint | Value / result | Reference |
Biodegradation in water | ||
Ready biodegradable: NO | Data estimated by the US Environmental Protection Agency’s EPISuite™ (BIOWIN v4.10). | |
Ready biodegradable: NO | Data predicted using VEGA Qsar model (IRFMN). (a) | |
Endpoint | Value / result | Reference |
Bioconcentration BCF | ||
BCF = 16.7 at pH 5.5 and 7.4) | Data predicted by ACD/Labs platform. | |
BCF = 10.9 | Data predicted by the US Environmental Protection Agency’s EPISuite™ (regression-based method). | |
BCF = 5.7 | Data predicted using VEGA Qsar model (CAESAR). (b) | |
BCF = 11.9 | Data predicted using VEGA Qsar model (Meylan). (c) | |
BCF = 2.1 | Data predicted using VEGA Qsar model (Read-across). (d) | |
Endpoint | Value / result | Reference |
Adsorption / desorption (Koc) | ||
261 (at pH 5.5 and 7.4) | Data predicted by ACD/Labs platform. | |
102 | Data predicted by the US Environmental Protection Agency’s EPISuite™ (Kow method). | |
Henry's Law constant at 25 °C | 0.0000473 atm m3/mol | Data predicted by the US Environmental Protection Agency’s EPISuite™ (Bond SAR method). |
logKoa | 4.79 | Data predicted by the US Environmental Protection Agency’s EPISuite™. |
Details on VEGA predictions
Applicability domain comparison | Model |
Predicted compound is outside the AD of the model. | (a) |
Similar molecules in the training set have experimental values that disagree with the predicted value. | (a) |
Details on EPISuite prediction
Rapid Probability Models | Expert Survey Biodegradation Results | MITI Biodegradation probability | Anaerobic Biodegradation Probability |
Biowin1 (linear): 0.5988 | Biowin3 (ultimate): 2.7252 (weeks - months) | Biowin5 (linear): 0.6906 | Biowin7 (linear): 0.82 |
Biowin2 (non-linear): 0.1361 | Biowin4 (primary): 3.66772 (days - weeks) | Biowin6 (non-linear): 0.4186 |
Both EPISuite and VEGA reports that the substance is not readily biodegradable, but the predictions have low reliability. However, according to the work of Hiromatsu et al. (2000), the substance presents functional groups which are associated to a negative biodegradability potential, i.e. the presence of an halogen and a quaternary carbon.
Considering both the sources, it can be concluded that the subtance should not be readily biodegradable.
Regarding the hydrolysis, despite the chemical contains an alkyl ester functional group, which is potentially hydrolizable, the presence of a steric bulky substituent (in this case a tert-butyl) significantly decrease the neutral and base hydrolysis rate constants. The presence of an halogen on the other hand generally increases the reaction kinetics, however this effect is typical only for very high electronegative halogen (e.g. chlorine), due to their high electronegativity (Larson and Weber, 1994). The EPISuite software calculated a Kb half-life value of 2 and 20 days at pH 8 and 7, respectively.
The substance does not have an high affinity to the non-polar phase, presents a good water solubility and a low vapor pressure. For this reason, the water environmental compartment should be the main in which the substance will show the highest partitioning, based on its physicochemical properties.
The penetration by passive diffusion across biological membranes is facilitated by its low molecular weight; however, due to the low octanol/water partition coefficient (and consequently the bioaccumulation factor BCF), the chemical should not show an high bioaccumulation potential. BCF predictions are rather in agreement between the assessed models and shows acceptable reliability.
REFERENCE
Hiromatsu K. et al., Prediction for biodegradability of chemicals by an empirical flowchart, Chemosphere, 2000.
Larson R.A. and Weber E.J., Reaction mechanisms in environmental organic chemistry, Lewis Publishers, 1994.
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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