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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Physical & Chemical properties

Partition coefficient

Currently viewing:

Administrative data

Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
supporting study
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
other: Scientifically accepted calculation method

Data source

Referenceopen allclose all

Reference Type:
other company data
Title:
Unnamed
Year:
2021
Report date:
2021
Reference Type:
other: Estimation software
Title:
Unnamed
Year:
2021
Report date:
2021

Materials and methods

Test guideline
Qualifier:
no guideline required
Principles of method if other than guideline:
Estimation of log Kow using KOWWIN v1.68
GLP compliance:
no
Type of method:
other: estimation method
Partition coefficient type:
octanol-water

Test material

Constituent 1
Chemical structure
Reference substance name:
Phthalonitrile
EC Number:
202-044-8
EC Name:
Phthalonitrile
Cas Number:
91-15-6
Molecular formula:
C8H4N2
IUPAC Name:
benzene-1,2-dicarbonitrile
Test material form:
solid

Results and discussion

Partition coefficient
Type:
log Pow
Partition coefficient:
1.087
Temp.:
25 °C
Remarks on result:
other: The substance is within the applicability domain of the model.

Any other information on results incl. tables

TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 6 | Aromatic Carbon | 0.2940 | 1.7640
Frag | 2 | -C#N [cyano, aromatic attach] |-0.4530 | -0.9060
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 1.0870

Applicant's summary and conclusion

Executive summary:

QPRF: KOWWIN v1.68 (01 Nov. 2013)


 

































































































1.



Substance



See “Test material identity”



2.



General information



 



2.1



Date of QPRF



See “Data Source (Reference)”



2.2



QPRF author and contact details



See “Data Source (Reference)”



3.



Prediction



3.1



Endpoint
(OECD Principle 1)



Endpoint



Octanol-water partition coefficient (log Kow)



Dependent variable



Octanol-water partition coefficient (log Kow)



3.2



Algorithm
(OECD Principle 2)



Model or submodel name



KOWWIN



Model version



v. 1.68



Reference to QMRF



QMRF: Estimation of Octanol-Water Partition Coefficient using KOWWIN v1.68 (EPI Suite v4.11)



Predicted value (model result)



See “Results and discussion”



Input for prediction



Chemical structure via CAS number or SMILES



Descriptor values



- Chemical structure


- Fragments


- Correction factors



3.3



Applicability domain
(OECD principle 3)



Domains:



1) Molecular weight
(range of test data set: 18.02 to 719.92 g/mol; On-Line KOWWIN User’s Guide, Ch. 6.2.3 Estimation Domain)



Substance (not) within range (128.13 g/mol)



2) Fragments: Number of instances of the identified fragments does not exceed the maximum number as listed in Appendix D (On-Line KOWWIN User’s Guide)



fulfilled



3) Fragments: Substance has a functional group(s) or other structural features not represented in the training set, and for which no fragment coefficient was developed (Appendix D, On-Line KOWWIN User’s Guide)



applicable



4) Correction factors: Number of instances of the identified correction factor does not exceed the maximum number as listed in Appendix D (On-Line KOWWIN User’s Guide)



fulfilled.


 



3.4



The uncertainty of the prediction
(OECD principle 4)



According to REACH Guidance Document R.7a, (Nov. 2012), solubility in water is difficult to model accurately. For this reason, as well as the fact that the experimental error on solubility measurements can be quite high (generally reckoned to be about 0.5 log unit), the prediction of aqueous solubility is not as accurate as is the prediction of octanol/water partitioning.



3.5



The chemical mechanisms according to the model underpinning the predicted result
(OECD principle 5)



The water solubility of a substance depends on its affinity for water as well as its affinity for its own crystal structure. In general, substances with high melting points have poor solubility in any solvent.



 


References


- US EPA (2012). On-Line KOWWIN User’s Guide.