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Physical & Chemical properties

Partition coefficient

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Administrative data

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Reference
Endpoint:
partition coefficient
Type of information:
(Q)SAR
Adequacy of study:
key study
Study period:
2022
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
EPI Suite v4.11

2. MODEL (incl. version number)
KOWWIN v1.86

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL

Only constituents that are present at ≥2% w/w were considered in the fragment-based calculations.

N-dodecyl-N-methyldodecan-1-amine
Smiles: CN(CCCCCCCCCCCC)CCCCCCCCCCCC

N-dodecyl-N-methyltetradecan-1-amine
Smiles: CN(CCCCCCCCCCCC)CCCCCCCCCCCCCC

N-tetradecyl-N-methyltetradecan-1-amine
Smiles: CN(CCCCCCCCCCCCCC)CCCCCCCCCCCCCC

N-dodecyl-N-methyloctadecan-1-amine
Smiles: CN(CCCCCCCCCCCC)CCCCCCCCCCCCCCCCCC

N-decyl-N-methyldodecan-1-amine
Smiles: CN(CCCCCCCCCC)CCCCCCCCCCCC

N-methyl-N-octyldodecan-1-amine
Smiles: CCCCCCCCN(C)CCCCCCCCCCCC

N-hexadecyl-N-methylhexadecan-1-amine
Smiles: CCCCCCCCCCCCCCCCN(C)CCCCCCCCCCCCCCCC

Before calculations, weight percentages of constituents are converted to molar percentages using their respective molecular weight (MW).

IUPAC name CAS no. Smiles MW %w/w mole %
N-dodecyl-N-methyldodecan-1-amine 2915-90-4 CCCCCCCCCCCCN(C)CCCCCCCCCCCC 367.7 28.3% 29.4%
N-dodecyl-N-methyltetradecan-1-amine 102091-42-9 CCCCCCCCCCCCN(C)CCCCCCCCCCCCCC 395.7 19.5% 18.8%
N-tetradecyl-N-methyltetradecan-1-amine - CCCCCCCCCCCCCCN(C)CCCCCCCCCCCCCC 423.8 13.5% 12.2%
N-dodecyl-N-methyloctadecan-1-amine 135025-63-7 CCCCCCCCCCCCN(C)CCCCCCCCCCCCCCCCCC 451.9 10.4% 8.8%
N-decyl-N-methyldodecan-1-amine 102091-41-8 CCCCCCCCCCN(C)CCCCCCCCCCCC 339.6 10.2% 11.5%
N-methyl-N-octyldodecan-1-amine 183585-26-4 CCCCCCCCN(C)CCCCCCCCCCCC 311.5 7.9% 9.7%
N-hexadecyl-N-methylhexadecan-1-amine 16724-61-1 CCCCCCCCCCCCCCCCN(C)CCCCCCCCCCCCCCCC 479.9 3.6% 2.9%
93.4% 93.3%

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint: octanol water partitioning coefficient
- Unambiguous algorithm: see the method description attached
- Defined domain of applicability: see the method description attached
- Appropriate measures of goodness-of-fit and robustness and predictivity: see the method description attached
- Mechanistic interpretation: see the method description attached
The KOWWIN training and validation datasets can be downloaded from the Internet at:
http://esc.syrres.com/interkow/KowwinData.htm

5. APPLICABILITY DOMAIN
- Model domain: currently there is no universally accepted definition of model domain, all fragments considered fall within the Molecular Weight range of the training set compounds. In general, the intended application domain for all models embedded in EPISuite is organic chemicals.
The training set molecular weights are within the range of 18.02 to 719.92 with an average molecular weight of 199.98 (Validation set molecular weights: 27.03 to- 991.15 a nd average of 258.98).

- Mechanistic domain:
KOWWIN uses a "fragment constant" methodology to predict log P. In a "fragment constant" method, a structure is divided into fragments (atom or larger functional groups) and coefficient values of each fragment or group are summed together to yield the log P estimate. KOWWIN’s methodology is known as an Atom/Fragment Contribution (AFC) method. Coefficients for individual fragments and groups were derived by multiple regression of 2447 reliably measured log P values. KOWWIN’s "reductionist" fragment constant methodology (i.e. derivation via multiple regression) differs from the "constructionist" fragment constant methodology of Hansch and Leo (1979) that is available in the CLOGP Program (Daylight, 1995). See the Meylan and Howard (1995) journal article for a more complete description of KOWWIN’s methodology.
- Similarity with analogues in the training set:
Unknown

- Other considerations (as appropriate):
-

6. ADEQUACY OF THE RESULT
The calculated average value calculated from the main fragments of the substance is adequate as all fragments fall within the applicability domain of the model.
Guideline:
other: REACH Guidance on QSARs R.6
Principles of method if other than guideline:
see attached documentation
GLP compliance:
no
Type of method:
other: QSAR
Partition coefficient type:
octanol-water
Key result
Type:
log Pow
Partition coefficient:
12.2
Temp.:
25 °C
pH:
7
Executive summary:

No actual data are available for characterizing the log Kow of Amines, di-C12-18-alkylmethyl. Modelled data are therefore considered to assess this parameter. The result obtained indicates that Amines, di-C12-18-alkylmethyl has an estimated log Kow of 12.2 calculated from its major constituents.

Description of key information

No actual data are available for characterizing the log Kow of Amines, di-C12-18-alkylmethyl. Modelled data are therefore considered to assess this parameter. The result obtained indicates that Amines, di-C12-18-alkylmethyl has an estimated log Kow of 12.2 calculated from its major constituents.

Key value for chemical safety assessment

Log Kow (Log Pow):
12.2

Additional information