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EC number: 203-603-9 | CAS number: 108-65-6
- 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

Additional information on environmental fate and behaviour
Administrative data
- Endpoint:
- additional information on environmental fate and behaviour
- Type of information:
- calculation (if not (Q)SAR)
- Adequacy of study:
- other information
- Study period:
- 2014
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- accepted calculation method
Data source
Reference
- Reference Type:
- publication
- Title:
- Application of the maximum cumulative ratio (MCR) as a screening tool for the evaluation of mixtures in residential indoor air
- Author:
- Katleen De Brouwere a,⁎, Christa Cornelis a,⁎, Athanasios Arvanitis b, Terry Brown c, Derrick Crump c, Paul Harrison c, Matti Jantunen d, Paul Price e, Rudi Torfs
- Year:
- 2 014
- Bibliographic source:
- Science of the Total Environment 479–480 (2014) 267–276
- Report date:
- 2014
Materials and methods
Test guideline
- Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- The maximum cumulative ratio (MCR) method allows the categorisation of mixtures according to whether the mixture is of concern for toxicity and if so whether this is driven by one substance or multiple substances.
- GLP compliance:
- no
- Type of study / information:
- The maximum cumulative ratio (MCR) method
Test material
- Reference substance name:
- 2-methoxy-1-methylethyl acetate
- EC Number:
- 203-603-9
- EC Name:
- 2-methoxy-1-methylethyl acetate
- Cas Number:
- 108-65-6
- Molecular formula:
- C6H12O3
- IUPAC Name:
- 2-methoxy-1-methylethyl acetate
Constituent 1
Results and discussion
Any other information on results incl. tables
See "Attached Full Study Report" for details on results and discussion.
Applicant's summary and conclusion
- Conclusions:
- This work demonstrates the usefulness ofMCR as a screening tool for identifying indoor airmixtures requiring further assessment of combined exposure. For those identified mixtures, higher tier assessment could involve considering communalities in endpoints, target organs,mode of action affected by the various substances present in the mixtures. Ideally, classification of mixtures should be based on MCR calculations using datasets that contain all compoundswith a potential significant contribution to the MCR. This highlights the need for a comprehensive, harmonized and common set of substances in pan-European IAQ monitoring surveys as further discussed by Crump et al. (2013).
Further challenges in unravelling the issue of mixture toxicity in indoor air are i) the generation of indoor air databases that are optimal for the assessment ofmixture toxicity and include an appropriate target list of substances determined with a sufficiently low limit of quantification, ii) identification of relationships between indoor sources and groups of substances with a substantial contribution to MCR, and iii) investigation of interactions between pollutants in indoor air, including chemical reactions occurring in the indoor air.
Supplementary data to this article can be found in the "Attachment" Section. - Executive summary:
The maximum cumulative ratio (MCR) method allows the categorisation of mixtures according to whether the mixture is of concern for toxicity and if so whether this is driven by one substance or multiple substances. The aim of the present study was to explore, by application of theMCR approach,whether health risks due to indoor air pollution are dominated by one substance or are due to concurrent exposure to various substances. Analysis was undertaken on monitoring data of four European indoor studies (giving five datasets), involving 1800 records of indoor air or personal exposure.
Application of the MCR methodology requires knowledge of the concentrations of chemicals in a mixture together with health-based reference values for those chemicals. For this evaluation, single substance health-based reference values (RVs) were selected through a structured review process.
The MCR analysis found high variability in the proportion of samples of concern for mixture toxicity. The fraction of samples in these groups of concern varied from2% (Flemish schools) to 77% (EXPOLIS, Basel, indoor), the variation being due not only to the variation in indoor air contaminant levels across the studies but also to other factors such as differences in number and type of substances monitored, analytical performance, and choice of RVs. However, in 4 out of the 5 datasets, a considerable proportion of cases were found where a chemical-by-chemical approach failed to identify the need for the investigation of combined risk assessment.
Although theMCR methodology applied in the current study provides no consideration of commonality of endpoints, it provides a tool for discrimination between those mixtures requiring further combined risk assessment and those for which a single-substance assessment is sufficient.
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