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EC number: 695-930-2 | CAS number: 13676-53-4
- 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 valid (Q)SAR model and falling into its applicability domain, with adequate and reliable documentation / justification
- Justification for type of information:
- 1. SOFTWARE
Estimation Programs Interface Suite™ for Microsoft® Windows v4.11. US EPA, United States Environmental Protection Agency, Washington, DC, USA.
2. MODEL (incl. version number)
MPBPWIN v1.43 (September 2010)
3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
O=C3C=CC(=O)N3Cc1cc(CN2C(=O)C=CC2(=O))ccc1
CAS: 13676-53-4
Melting point: 120°C
4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint:
vapour pressure
- Unambiguous algorithm:
Antoine Method: Chapter 14 of Lyman et al (1990) includes the description of the Antoine method used by MPBPWIN. It was developed for gases and liquids. The Antoine equation used to estimate vapor pressure from the normal boiling (Tb) is shown in the attached document. MPBPWIN has extended the Antoine method to make it applicable to solids by using the same methodology as the modified Grain method to convert a super-cooled liquid VP to a solid-phase VP as shown below.
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. The modified Grain method equations are shown in the attached document.
Mackay Method: The equation derived by Mackay to estimate VP (Lyman, 1985) is shown in the attached document.
All three methods use the normal boiling point to estimate VP. Unless the user enters a boiling point on the data entry screen, MPBPWIN uses the estimated boiling point from the adapted Stein and Brown method (For more information see: Stein, S.E. and Brown, R.L. 1994. Estimation of normal boiling points from group contributions. J. Chem. Inf. Comput. Sci. 34: 581-7). MPBPWIN reports the VP estimate from all three methods. It then reports a "suggested" VP. For liquids and gases, the suggested VP is the average of the Antoine and the modified Grain estimates. The Mackay method is not used in the suggested VP because its application is currently limited to its derivation classes.
- Defined domain of applicability:
Currently there is no universally accepted definition of model domain. However, users may wish to consider the possibility that property estimates are less accurate for compounds outside the Molecular Weight range of the training set compounds, and/or that have more instances of a given fragment than the maximum for all training set compounds. It is also possible that a compound may have a functional group(s) or other structural features not represented in the training set, and for which no fragment coefficient was developed. These points should be taken into consideration when interpreting model results.
Training Set Molecular Weights:
Minimum MW: 16.04
Maximum MW: 943.17
Average MW: 194.22
- Appropriate measures of goodness-of-fit and robustness and predictivity:
The accuracy of MPBPWIN's "suggested" VP estimate was tested on a dataset of 3037 compounds with known, experimental VP values between 15 and 30 deg C (the vast majority at 25 or 20 deg C). The experimental values were taken from the PHYSPROP Database that is part of the EPI Suite. For this test, the CAS numbers were run through MPBPWIN as a standard batch-mode run (using the default VP estimation temperature of 25 deg C) and the batch estimates were compared to PHYSPROP's experimental VP.
- Mechanistic interpretation:
MPBPWIN estimates vapor pressure (VP) by three separate methods: (1) the Antoine method, (2) the modified Grain method, and (3) the Mackay method. For more detailed information about the methodologies please refer also to Lyman, W.J. 1985. In: Environmental Exposure From Chemicals. Volume I., Neely,W.B. and Blau,G.E. (eds), Boca Raton, FL: CRC Press, Inc., Chapter 2. and Lyman, W.J., Reehl, W.F. and Rosenblatt, D.H. 1990. Handbook of Chemical Property Estimation Methods. Washington, DC: American Chemical Society, Chapter 14.
5. APPLICABILITY DOMAIN
- Descriptor domain:
Molecular weight
- Similarity with analogues in the training set:
The substance consists of several fragments which are all present in the training data sets. Moreover, based on molecular weight the substance also falls into the applicability domain of the model.
6. ADEQUACY OF THE RESULT
The estimation is based on i.a. boiling point and experimental data (Differential Scanning Calorimetry) revealed that m- Xylylenebismaleimide has no boiling point but decomposes instead. However, since the substance falls into the molecular weight range predictivity of the model used and a reliable melting point was obtained from experimental data, the prediction is considered to be sufficient to provide reliable results for classification and labelling and/or risk assessment. Furthermore, the vapour pressure obtained from the QSAR prediction is very low which substantiates the assumption that testing of vapour pressure is technically not feasible.
For further informations on the model used please refer to the attached justification. - Qualifier:
- no guideline followed
- Principles of method if other than guideline:
- QSAR prediction performed with EPISuite software /MPBPWIN v 1.43 (Spetember 2010).
- GLP compliance:
- no
- Type of method:
- other: QSAR estimation method
- Key result
- Test no.:
- #1
- Temp.:
- 25 °C
- Vapour pressure:
- 0 Pa
- Remarks on result:
- other: Result from QSAR estimation
- Conclusions:
- According to EPISuite/MPBPWIN v 1.43 the vapour pressure of m-Xylylenebismaleimide is 5.81E-010 Pa at 25°C.
Reference
SMILES : O=C3C=CC(=O)N3Cc1cc(CN2C(=O)C=CC2(=O))ccc1
CHEM : m-Xylylenebismaleimide
MOL FOR: C16 H12 N2 O4
MOL WT : 296.28
------------------------ SUMMARY MPBPWIN v1.43 --------------------
Vapor Pressure Estimations (25 deg C):
(Using BP: 610.94 deg C (estimated))
(Using MP: 120.00 deg C (user entered))
VP : 3.19E-016 mm Hg (Antoine Method)
: 4.26E-014 Pa (Antoine Method)
VP : 4.36E-012 mm Hg (Modified Grain Method)
: 5.81E-010 Pa (Modified Grain Method)
VP : 9.3E-012 mm Hg (Mackay Method)
: 1.24E-009 Pa (Mackay Method)
Selected VP : 4.36E-012 mm Hg (Modified Grain Method)
: 5.81E-010 Pa (Modified Grain Method)
Subcooled liquid VP : 3.82E-011 mm Hg (25 deg C, Mod-Grain method)
: 5.09E-009 Pa (25 deg C, Mod-Grain method)
Description of key information
- QSAR estimation of vapour pressure using EPISuite software and MPBPWIN model, 5.81E-10 Pa at 25°C.
Key value for chemical safety assessment
- Vapour pressure:
- 0 Pa
- at the temperature of:
- 25 °C
Additional information
According to EPISuite/MPBPWIN v 1.43 the vapour pressure of m-Xylylenebismaleimide is 5.81E-010 Pa at 25°C.
The estimation is based on i.a. boiling point and experimental data (Differential Scanning Calorimetry) which revealed that m- Xylylenebismaleimide has no boiling point but decomposes instead. However, since the substance falls into the molecular weight range of the model predictivity and a reliable melting point was obtained from experimental data, the prediction is considered to be sufficient to provide reliable results for classification and labelling and/or risk assessment. Furthermore, the vapour pressure obtained from the QSAR prediction is very low which substantiates the assumption that testing of vapour pressure is technically not feasible.
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