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Diss Factsheets
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EC number: 201-058-1 | CAS number: 77-78-1
- 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
Adsorption / desorption
Administrative data
- Endpoint:
- adsorption / desorption
- Remarks:
- adsorption/desorption
- Type of information:
- (Q)SAR
- Adequacy of study:
- supporting study
- Reliability:
- 2 (reliable with restrictions)
- Justification for type of information:
- QSAR prediction: migrated from IUCLID 5.6
Data source
Reference
- Reference Type:
- publication
- Title:
- EPI-Suite - KOCWIN v2.00
- Author:
- U.S. Environmental Protection Agency
- Year:
- 2 008
- Bibliographic source:
- EPI Suite was developed by the EPA's Office of Pollution Prevention Toxics and Syracuse Research Corporation (SRC), Copyright 2000-2008 U.S. Environmental Protection Agency; http://www.epa.gov/oppt/exposure/pubs/episuitedl.htm
Materials and methods
Test guideline
- Qualifier:
- according to guideline
- Guideline:
- other: REACH guidance on QSARs R.6, May 2008
- Deviations:
- not applicable
- Principles of method if other than guideline:
- This property indicates the binding capacity (or stickiness) of a substance to solid surfaces, and so is essential for understanding environmental partitioning behaviour. Substances with a Koc below 500–1,000 L/kg are generally unlikely to adsorb to sediment. To avoid extensive testing of chemicals, a log Koc (or log Pow) ≥3 can be used as a trigger value for sediment effects assessment. Strong binding behaviour to soil particles (e.g. log Pow >5, log Koc >4) might justify immediate longterm soil organism toxicity testing if particular sensitivity and/or persistence is anticipated.
The program EpiSuite 4.0 (PCKOCWIN) predicts logKow values using two methods. First the MCI methodology and second a method based on the logPow. Overall, the MCI methodology is somewhat more accurate than the log Kow methodology, although both methods yield good results. If the Training datasets are combined in to one dataset of 516 compounds (69 having no corrections plus 447 with corrections), the MCI methodology has an r2, standard deviation and average deviation of 0.916, 0.330 and 0.263, respectively, versus 0.86, 0.429 and 0.321 for the logKow methodology. - GLP compliance:
- no
- Type of method:
- other: calculation
- Media:
- soil
Test material
- Reference substance name:
- Dimethyl sulphate
- EC Number:
- 201-058-1
- EC Name:
- Dimethyl sulphate
- Cas Number:
- 77-78-1
- Molecular formula:
- C2H6O4S
- IUPAC Name:
- dimethyl sulfate
- Details on test material:
- Smiles code: O=S(=O)(OC)OC (generated with ACD/ChemSketch version 12.01, Februar 2009 (Freeware), Copyright 1994-2009)
Constituent 1
Study design
HPLC method
- Details on study design: HPLC method:
- no details available - QSAR calculation
Batch equilibrium or other method
- Analytical monitoring:
- no
- Computational methods:
- The following table gives statistical information for the MCI (Molecular Connectivity Index, first-order) training and validation Datasets. The statistics pertain to the experimental logKoc and the MCI estimated logKoc:
Training Training Validation
No with Data set
Corrections Corrections
number 69 447 158
r2 corr coef 0.967 0.900 0.850
std deviation 0.247 0.340 0.583
avg deviation 0.199 0.273 0.459
The following table gives statistical information for the log Kow-based regression: training and
validation sets. The statistics pertain to the experimental logKoc and the logKow estimated logKoc:
Training Training Validation
No with Data set
Corrections Corrections
number 68 447 150
r2 corr coef 0.877 0.855 0.778
std deviation 0.478 0.396 0.679
avg deviation 0.371 0.307 0.494
Overall, the MCI methodology is somewhat more accurate than the log Kow methodology, although both methods yield good results. If the Training datasets are combined in to one dataset of 516 compounds (69 having no corrections plus 447 with corrections), the MCI methodology has an r2, standard deviation and average deviation of 0.916, 0.330 and 0.263, respectively, versus 0.86, 0.429 and 0.321 for the logKow methodology.
Both results were given under results and discussions.
Results and discussion
Adsorption coefficientopen allclose all
- Type:
- log Koc
- Value:
- 0.9
- Remarks on result:
- other: Koc estimate from MCI
- Type:
- log Koc
- Value:
- 1.2
- Remarks on result:
- other: Koc estimate from log Kow
Applicant's summary and conclusion
- Validity criteria fulfilled:
- yes
- Conclusions:
- According to the reference, the adsorption/desorption coefficient (log Koc) of DMS is calculated to be 0.9 (estimated from MCI) and 1.2 (estimated from log Kow), respectively.
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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