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EC number: 208-589-8 | CAS number: 534-15-6
- 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
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Toxicity to aquatic algae and cyanobacteria
Administrative data
Link to relevant study record(s)
- Endpoint:
- toxicity to aquatic algae and cyanobacteria
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- Reliability:
- 2 (reliable with restrictions)
- Rationale for reliability incl. deficiencies:
- results derived from a (Q)SAR model, with limited documentation / justification, but validity of model and reliability of prediction considered adequate based on a generally acknowledged source
- Justification for type of information:
- 1 Substance
1.1 CAS number 534-15-6
1.2 EC number 208-589-8
1.3 Chemical name
IUPAC 1,1-dimethoxyethane
Other (ISO) dimethyl acetal
Other
1.4 Structural formula
1.5 Structure codes
SMILES COC(C)OC
InChI 1S/C4H10O2/c1-4(5-2)6-3/h4H,1-3H3
Other
Stereochemical features Not applicable
2 General Information
2.1 Date of QPRF 29 May 2018
2.2 Author and contact details Dr. Stefan Pudenz, Envigo CRS Switzerland Ltd.,
Rheinstrasse 74, 4414 Füllinsdorf, Switzerland,
Email: stefan.pudenz@envigo.com
3 Prediction
3.1 Endpoint (OECD Principle 1)
Endpoint Algae acute toxicity (96 hour EC50)
Dependent variable Log 96-h EC50 (mmol/L)
3.2 Algorithm (OECD Principle 2)
Model or submodel name Algae 96-h EC50. Due to structural classification of the query structure submodels are:
SAR Neutral Organics
Model version ECOSAR v1.11 and submodels
SAR Neutral Organics 5/2012
Reference to QMRF There is no QMRF available. Information to ECOSAR models can be found at https://www.epa.gov/chemicalresearch/toxicity-estimation-software-tool-test. For information similar to those provided in the QMRF it is also referred to section Interpreting ECOSAR QSAR.
Predicted values (model result) Class Neutral organics: 532.088 mg/L
Predicted values (comments) -
Input for prediction Smiles
Calculated descriptor values Experimental water solubility, 1.E06 mg/L, and predicted log
Kow, 0.223
3.3 Applicability domain (OECD Principle 3)
Domains i. The predicted compound is in the Applicability Domain of the models log Kow< 5.
ii. Structure belongs to class neutral organic
iii. SAR based on structural classes
Structural analogues ECOSAR does not provide information on structural analogues due to the nature of the regression algorithm.
Neutral organics: Model equation based on 98 structures
Consideration on structural analogues
Not applicable, see above.
3.4 The uncertainty of the prediction (OECD principle 4)
The coefficient of determination, R2 = 0.6782, suggests low confidence.
3.5 The chemical and biological mechanisms according to the model underpinning the predicted
result (OECD principle 5)
SAR based on structural classes
4 Adequacy (Optional)
4.1 Regulatory purpose Acute toxicity to algae endpoint for providing information on aquatic pelagic toxicity.
4.2 Approach for regulatory interpretation of the model result Unit conversion provided by the software.
4.3 Outcome The prediction suggests an EC50 of 532.088 mg/L but there is only low confidence in the prediction.
4.4 Conclusion The prediction is considered to be of low reliability and may be used together with other QSARs in a weight of evidence conclusion. - Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- - Principle of test: QSAR prediciton of Acute toxicity to algae
- Short description of test conditions: n/a
- Parameters analysed / observed: EC50 - Duration:
- 96 h
- Dose descriptor:
- EC50
- Effect conc.:
- 532.088 mg/L
- Conclusions:
- The prediction suggests an EC50 of 532.088 mg/L but there is only low confidence in the prediction.
The prediction is considered to be of low reliability and may be used together with other QSARs in a weight of evidence conclusion
Reference
1 Substance
1.1 CAS number 534-15-6
1.2 EC number 208-589-8
1.3 Chemical name
IUPAC 1,1-dimethoxyethane
Other (ISO) dimethyl acetal
Other
1.4 Structural formula
1.5 Structure codes
SMILES COC(C)OC
InChI 1S/C4H10O2/c1-4(5-2)6-3/h4H,1-3H3
Other
Stereochemical features Not applicable
2 General Information
2.1 Date of QPRF 29 May 2018
2.2 Author and contact details Dr. Stefan Pudenz, Envigo CRS Switzerland Ltd.,
Rheinstrasse 74, 4414 Füllinsdorf, Switzerland,
Email: stefan.pudenz@envigo.com
3 Prediction
3.1 Endpoint (OECD Principle 1)
Endpoint Algae acute toxicity (96 hour EC50)
Dependent variable Log 96-h EC50 (mmol/L)
3.2 Algorithm (OECD Principle 2)
Model or submodel name Algae 96-h EC50. Due to structural classification of the query structure submodels are:
SAR Neutral Organics
Model version ECOSAR v1.11 and submodels
SAR Neutral Organics 5/2012
Reference to QMRF There is no QMRF available. Information to ECOSAR models can be found at https://www.epa.gov/chemicalresearch/toxicity-estimation-software-tool-test. For information similar to those provided in the QMRF it is also referred to section Interpreting ECOSAR QSAR.
Predicted values (model result) Class Neutral organics: 532.088 mg/L
Predicted values (comments) -
Input for prediction Smiles
Calculated descriptor values Experimental water solubility, 1.E06 mg/L, and predicted log
Kow, 0.223
3.3 Applicability domain (OECD Principle 3)
Domains i. The predicted compound is in the Applicability Domain of the models log Kow< 5.
ii. Structure belongs to class neutral organic
iii. SAR based on structural classes
Structural analogues ECOSAR does not provide information on structural analogues due to the nature of the regression algorithm.
Neutral organics: Model equation based on 98 structures
Consideration on structural analogues
Not applicable, see above.
3.4 The uncertainty of the prediction (OECD principle 4)
The coefficient of determination, R2 = 0.6782, suggests low confidence.
3.5 The chemical and biological mechanisms according to the model underpinning the predicted
result (OECD principle 5)
SAR based on structural classes
4 Adequacy (Optional)
4.1 Regulatory purpose Acute toxicity to algae endpoint for providing information on aquatic pelagic toxicity.
4.2 Approach for regulatory interpretation of the model result Unit conversion provided by the software.
4.3 Outcome The prediction suggests an EC50 of 532.088 mg/L but there is only low confidence in the prediction.
4.4 Conclusion The prediction is considered to be of low reliability and may be used together with other QSARs in a weight of evidence conclusion.
Description of key information
Acute Algae Toxicity
Prediction of acute algae toxicity with OECD Toolbox failed as no meaningful category could be established. ECOSAR predicted the EC50 to be 532.09 mg/L but there is only low confidence in the prediction. For structurally similar acetal dimethoxymethane an EC50 study result of 6000 mg/L and predictions between 874.12 mg/L (96 h) and 9120 mg/L (72h) are reported in the ECHA dossier. Taking additionally into account the prediction results for acute fish and daphnia toxicity and corresponding expertimental results for diethoxymethane and dimethoxymethane it is considered unlikely that 1,1.dimethoxyethane qualifies for classification.
Prediction results of acute algae toxicity of 1,1-dimethoxyethane
Model |
Algae toxicity EC50[mg/L], 96h |
Reliability |
ECOSAR |
532.09 |
low |
Key value for chemical safety assessment
- EC50 for freshwater algae:
- 532.09 mg/L
Additional information
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.
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