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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

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Administrative data

Endpoint:
partition coefficient
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 limited documentation / justification
Justification for type of information:
The partition coefficient endpoint has been waived due to the fact that substance decomposes (study does therefore not need to be conducted). However, it is required to provide a calculation of log P. Here the calculation is done through EPIsuite prediction.

Data source

Reference
Reference Type:
other: informatic prediction
Title:
EPIsuite: CDDN
Year:
2017
Bibliographic source:
EPIsuite

Materials and methods

Test guideline
Qualifier:
no guideline followed
Principles of method if other than guideline:
The prediction used a KOWWIN V1.68 estimate. No further details on the method.
GLP compliance:
not specified
Type of method:
estimation method (solubility ratio)
Partition coefficient type:
octanol-water

Test material

Constituent 1
Chemical structure
Reference substance name:
Copper, diamminebis(nitrato-kO)
EC Number:
604-942-9
Cas Number:
15414-04-7
Molecular formula:
CuH6N4O6
IUPAC Name:
Copper, diamminebis(nitrato-kO)

Results and discussion

Partition coefficient
Key result
Type:
log Pow
Partition coefficient:
ca. -3.44
Remarks on result:
other: Temperature and pH were not provided
Details on results:
This value is for copper diamine dinitrate only (CDDN not stabilised).

Applicant's summary and conclusion

Conclusions:
The log Kow of Copper Diamine Dinitrate is -3.44 based on EPIsuite prediction.