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EC number: 952-496-1 | CAS number: -
- 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

Vapour pressure
Administrative data
Link to relevant study record(s)
- Endpoint:
- vapour pressure
- Type of information:
- (Q)SAR
- Adequacy of study:
- key study
- 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:
- SOFTWARE
/ MODEL (incl. version number)
Mpbpwin v1.43 US EPA EPI SUITE Software
SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
C1(CC2C(CC1C2)CNC(=O)(CC(#N)))CNC(=O)(CC(#N))
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint:
Vapour Pressure
- Unambiguous algorithm:
MPBPWIN estimates vapor pressure (VP) by three separate methods: (1) the Antoine method, (2) the modified Grain method, and (3) the Mackay method. The boiling point predicted using the same tool was used for estimation. As the substance is a soild, the most appropriate method is the modified grain method. Chapter 2 of Lyman (1985) describes the modified Grain method used by MPBPWIN. This method is a modification and significant improvement of the modified Watson method. It is applicable to solids, liquids and gases. An outline of the equations used can be found in the EPISUITE Mpbpvpwin help.
The modified Grain method is the most robust allround method currently available to predict the vapour pressure of a substance.
5. APPLICABILITY DOMAIN
- Descriptor domain:
- Structural and mechanistic domains:
The functional groups and structural featues are present in molecules included in the training set. However, fragment coefficients were not found.
- Similarity with analogues in the training set:
No similarity coefficients were calculated.
- Other considerations (as appropriate):
The 3037 compound test set contains 1642 compounds with available experimental Boiling points and Melting points ... For this subset of compounds, the estimation accuracy statistics are (based on log VP):
number = 1642
r2 = 0.949
std deviation = 0.59
avg deviation = 0.32
These statistics clearly indicate that VP estimates are more accurate with experimental BP and MP data. Therefore, this study was assigned Klimmisch Score 3. - Qualifier:
- no guideline available
- Principles of method if other than guideline:
- Method follows European Chemicals Agency Practical Guide on How to Use and Report QSARs Version 3.1
Estimated data are obtained from a reliable (Q)SAR program developed and validated by the United States Environmental Protection Agency (U.S. EPA). This program is included in the OECD (Q)SAR Toolbox for use in filling REACH datagaps - Specific details on test material used for the study:
- SMILES : C1(CC2C(CC1C2)CNC(=O)(CC(#N)))CNC(=O)(CC(#N))
CHEM : NBDA-Cyanoacetamide
MOL FOR: C15 H20 N4 O2 - Key result
- Temp.:
- 25 °C
- Vapour pressure:
- 0 Pa
- Remarks on result:
- other: Determined using QSAR modelling.
- Conclusions:
- The Vapour pressure as estimated using EPISUITE Mpbpvp v1.43 is 4.9E-010 Pa (Modified Grain Method).
Reference
Description of key information
Key value for chemical safety assessment
- Vapour pressure:
- 0 Pa
- at the temperature of:
- 25 °C
Additional information
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