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EC number: 931-330-1 | CAS number: 69227-24-3
- 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
Partition coefficient
Administrative data
Link to relevant study record(s)
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Justification for type of information:
- QSAR prediction from a well-known and acknowledged tool. See below under ''attached background material section" for QPRF containing methodology and domain evaluation details.
- Qualifier:
- according to guideline
- Guideline:
- other: REACH guidance on QSARs: Chapter R.6. QSARs and grouping of chemicals
- Principles of method if other than guideline:
- The partition coefficient (log Kow) value for the test substance were estimated using the efficient partition algorithm (EPA) and associative neural network (ASNN) method of the ALOGPS v.2.1 program from the virtual computational chemistry laboratory. Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter.
- Type of method:
- other: Efficient Partition Algorithm (EPA) and Associative Neural Network (ASNN)
- Partition coefficient type:
- other: QSAR
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 0.51 - ca. 6.74
- Remarks on result:
- other: predicted for the main constituents
- Remarks:
- (ALOGPS v.2.1)
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 4.14
- Remarks on result:
- other: weighted average Log Kow
- Remarks:
- (ALOGPS v.2.1)
- Conclusions:
- Using the efficient partition algorithm and associative neural networks based regression equations from ALOGPS V.2.1, the weighted average Partition coefficient (log Kow) value for test substance was predicted to be 4.14.
- Executive summary:
The partition coefficient (log Kow) value for the test substance, C8-18 and C18-unsatd. MEA was predicted using the EPA and ASNN based regression equations from ALOGPS V.2.1. Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter. Using the EPA and ASNN-based regression equations, the log Kow values for the individual constituents of the test substance ranged from 0.51 to 6.74. All constituents meet the E-indices, molecular weight and number of non-hydrogen atoms descriptor domain criteria. Further, given that the constituents are structurally very similar and vary only in the carbon chain length, a weighted average value, which considers the percentage of the constituent in the substance, was considered to dampen the errors in predictions (if any). Therefore, the weighted average log Kow value was calculated as 4.14. Overall, considering either the individual log Kow predictions for the constituents or the weighted average values, the test substance is expected to be less hydrophobic with a good absorption and low accumulation potential. Therefore, the log Kow predictions for the test substance using ALOGPS v.2.1 can be considered to be reliable with moderate confidence.
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Justification for type of information:
- QSAR prediction from a well-known and acknowledged tool. See below under ''attached background material section' for QPRF containing methodology and domain evaluation details.
- Qualifier:
- according to guideline
- Guideline:
- other: REACH guidance on QSARs: Chapter R.6. QSARs and grouping of chemicals
- Principles of method if other than guideline:
- The partition coefficient (log Kow) value for the test substance were estimated using the KOWWIN v.1.69. program in EPI SuiteTM v4.11. Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter.
- Type of method:
- other: Fragment constant method
- Partition coefficient type:
- other: QSAR prediction
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 0.29 - ca. 6.19
- Remarks on result:
- other: predicted for the main constituents
- Remarks:
- KOWWIN v.1.69. EPI SuiteTM v4.11
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 3.6
- Remarks on result:
- other: weighted average Log Kow
- Remarks:
- KOWWIN v.1.69. EPI SuiteTM v4.11
- Conclusions:
- Using the fragment constant method, of KOWWIN V.1.69 program of EPI SuiteTM, the weighted average partition coefficient (log Kow) value for test substance was predicted to be 3.60.
- Executive summary:
The partition coefficient (log Kow) value for the test substance, C8-18 and C18-unsatd. MEA was predicted using the fragment constant method, of KOWWIN V.1.69 program. Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter. Using the fragment constant method, the log Kow values for the individual constituents of the test substance ranged from 0.29 to 6.19. All constituents meet the molecular weight and structural fragment descriptor domain criteria. Given that the constituents are structurally very similar and vary only in the carbon chain length, a weighted average value, which considers the percentage of the constituent in the substance, was considered to dampen the errors in predictions (if any). Therefore, the weighted average log Kow value was calculated as 3.60. Overall, considering either the individual log Kow predictions for the constituents or the weighted average values, the test substance is expected to be less hydrophobic with a good absorption and low accumulation potential. Therefore, the log Kow predictions for the test substance using KOWWIN v1.69 can be considered to be reliable with moderate confidence.
- 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, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
- Justification for type of information:
- QSAR prediction from a well-known and acknowledged tool. See below under ''attached background material section' for QPRF containing methodology and domain evaluation details.
- Qualifier:
- according to guideline
- Guideline:
- other: REACH guidance on QSARs: Chapter R.6. QSARs and grouping of chemicals
- Principles of method if other than guideline:
- The partition coefficient (log Kow) value for the test substance were estimated using the group contributions methodology of Molinspiration (miLogP2.2 - November 2005). Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter.
- Type of method:
- other: Group contributions
- Partition coefficient type:
- other: QSAR prediction
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 1.24 - ca. 7.3
- Remarks on result:
- other: predicted for the main constituents
- Remarks:
- Molinspiration (miLogP2.2)
- Key result
- Type:
- log Pow
- Partition coefficient:
- ca. 4.61
- Remarks on result:
- other: weighted average Log Kow
- Remarks:
- Molinspiration (miLogP2.2)
- Conclusions:
- Using the group contribution method, of molinspiration (miLogP 2.2), the weighted average partition coefficient (log Kow) value for test substance was predicted to be 4.61.
- Executive summary:
The partition coefficient (log Kow) value for the test substance, C8-18 and C18-unsatd. MEA was predicted using the group contribution method, of Molinspiration (miLogP 2.2) program. Since the test substance is a UVCB, the log Kow values were predicted for the individual constituents using SMILES codes as the input parameter. Using the group contribution method, the log Kow values for the individual constituents of the test substance ranged from 1.24 to 7.3. All constituents meet the molecular weight and log Kow descriptor domain criteria. Given that the constituents are structurally very similar and vary only in the carbon chain length, a weighted average value, which considers the percentage of the constituent in the substance, was considered to dampen the errors in predictions (if any). Therefore, the weighted average log Kow value was calculated as 4.61. Overall, considering either the individual log Kow predictions for the constituents or the weighted average values, the test substance is expected to be less hydrophobic with a good absorption and low accumulation potential. Therefore, the log Kow predictions for the test substance using Molinspiration (miLogP 2.2), can be considered to be reliable with moderate confidence.
Referenceopen allclose all
Predicted value (model result):
The predicted Partition coefficient (Log Kow) values for the different constituents using the EPA and ASNN method were as follows:
Table 1: Log Kow predictions: EPA and ASNN method
Constituents/Carbon chain length* |
Mean/adjusted conc |
Mole fraction Xi = (mi/Mi)/∑ (mi/Mi) |
ALogPS Kow |
ALogPS Kow x Xi |
C6 |
2.5 |
0.034684 |
0.51 |
0.02 |
C8 |
6 |
0.070774 |
1.43 |
0.10 |
C10 |
6 |
0.061552 |
2.71 |
0.17 |
C12 |
52.5 |
0.476511 |
3.8 |
1.81 |
C14 |
19 |
0.154625 |
4.93 |
0.76 |
C16 |
9 |
0.066384 |
5.74 |
0.38 |
C18 |
8 |
0.053953 |
6.67 |
0.36 |
C18' |
10 |
0.067860 |
6.74 |
0.46 |
C18'' |
2 |
0.013657 |
6.26 |
0.09 |
|
|
|
Log Kow= |
4.14 |
*Glycerol or MEA residues have not been considered for the QSAR prediction
Predicted value:
The predicted log Kow values for the different constituents using the fragment constant-based method were as follows:
Table 2: Log Kow predictions: Fragment constant-based method
Constituents/Carbon chain length* |
Mean/adjusted conc |
Mole fraction Xi = (mi/Mi)/∑ (mi/Mi) |
Kow |
Kow x Xi |
Domain evaluation |
C6 |
2.5 |
0.034684 |
0.29 |
0.01 |
MW, Structural fragment (ID) |
C8 |
6 |
0.070774 |
1.28 |
0.09 |
MW, Structural fragment (ID) |
C10 |
6 |
0.061552 |
2.26 |
0.14 |
MW, Structural fragment (ID) |
C12 |
52.5 |
0.476511 |
3.24 |
1.54 |
MW, Structural fragment (ID) |
C14 |
19 |
0.154625 |
4.22 |
0.65 |
MW, Structural fragment (ID) |
C16 |
9 |
0.066384 |
5.21 |
0.35 |
MW, Structural fragment (ID) |
C18 |
8 |
0.053953 |
6.19 |
0.33 |
MW, Structural fragment (ID) |
C18' |
10 |
0.067860 |
5.97 |
0.41 |
MW, Structural fragment (ID) |
C18'' |
2 |
0.013657 |
5.76 |
0.08 |
MW, Structural fragment (ID) |
|
|
|
Kow= |
3.60 |
|
*Glycerol or MEA residues have not been considered for the QSAR prediction
Log Kow prediction results:
Log Kow(version 1.69 estimate): 1.28
SMILES : CCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C10 H21 N1 O2
MOL WT : 187.28
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 8 | -CH2- [aliphatic carbon] | 0.4911 | 3.9288
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 1.2767
Log Kow(version 1.69 estimate): 2.26
SMILES : CCCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C12 H25 N1 O2
MOL WT : 215.34
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 10 | -CH2- [aliphatic carbon] | 0.4911 | 4.9110
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 2.2589
Log Kow(version 1.69 estimate): 3.24
SMILES : CCCCCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C14 H29 N1 O2
MOL WT : 243.39
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 12 | -CH2- [aliphatic carbon] | 0.4911 | 5.8932
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 3.2411
Log Kow(version 1.69 estimate): 4.22
SMILES : CCCCCCCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C16 H33 N1 O2
MOL WT : 271.45
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 14 | -CH2- [aliphatic carbon] | 0.4911 | 6.8754
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 4.2233
Log Kow(version 1.69 estimate): 5.21
SMILES : CCCCCCCCCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C18 H37 N1 O2
MOL WT : 299.50
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 16 | -CH2- [aliphatic carbon] | 0.4911 | 7.8576
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 5.2055
Log Kow(version 1.69 estimate): 6.19
SMILES : CCCCCCCCCCCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C20 H41 N1 O2
MOL WT : 327.56
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 18 | -CH2- [aliphatic carbon] | 0.4911 | 8.8398
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 6.1877
Log Kow(version 1.69 estimate): 5.97
SMILES : CCCCCCCCC=CCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C20 H39 N1 O2
MOL WT : 325.54
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 16 | -CH2- [aliphatic carbon] | 0.4911 | 7.8576
Frag | 2 | =CH- or =C< [olefinc carbon] | 0.3836 | 0.7672
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 5.9727
Log Kow(version 1.69 estimate): 5.76
SMILES : CCCCCC=CCC=CCCCCCCCC(=O)NCCO
CHEM :
MOL FOR: C20 H37 N1 O2
MOL WT : 323.52
-------+-----+--------------------------------------------+---------+--------
TYPE | NUM | LOGKOW FRAGMENT DESCRIPTION | COEFF | VALUE
-------+-----+--------------------------------------------+---------+--------
Frag | 1 | -CH3 [aliphatic carbon] | 0.5473 | 0.5473
Frag | 14 | -CH2- [aliphatic carbon] | 0.4911 | 6.8754
Frag | 4 | =CH- or =C< [olefinc carbon] | 0.3836 | 1.5344
Frag | 1 | -OH [hydroxy, aliphatic attach] |-1.4086 | -1.4086
Frag | 1 | -NH- [aliphatic attach] |-1.4962 | -1.4962
Frag | 1 | -C(=O)N [aliphatic attach] |-0.5236 | -0.5236
Const | | Equation Constant | | 0.2290
-------+-----+--------------------------------------------+---------+--------
Log Kow = 5.7577
Predicted value:
Using the group contribution method of molinspiration model, the partition coefficient (Log Kow) values for the different constituents were predicted as follows:
Table 1: Log Kow predictions: Group contribution method
Constituents/Carbon chain length* |
Mean/adjusted conc |
Mole fraction Xi = (mi/Mi)/∑ (mi/Mi) |
Molinspiration Log P |
Molinspiration |
C6 |
2.5 |
0.034684 |
1.24 |
0.04 |
C8 |
6 |
0.070774 |
2.25 |
0.16 |
C10 |
6 |
0.061552 |
3.26 |
0.20 |
C12 |
52.5 |
0.476511 |
4.27 |
2.03 |
C14 |
19 |
0.154625 |
5.28 |
0.82 |
C16 |
9 |
0.066384 |
6.29 |
0.42 |
C18 |
8 |
0.053953 |
7.3 |
0.39 |
C18' |
10 |
0.067860 |
6.81 |
0.46 |
C18'' |
2 |
0.013657 |
6.09 |
0.08 |
|
|
|
Log Kow= |
4.61 |
*Glycerol or MEA residues have not been considered for the QSAR prediction
Description of key information
Weighted average partition coefficient values were modelled using the fragment constant method of the KOWWIN V.1.69 program of EPI Suite, the group contribution method of Molinspiration (miLogP 2.2) and the efficient partition algorithm and associative neural network-based regression equations from ALOGPS V.2.1.
Key value for chemical safety assessment
- Log Kow (Log Pow):
- 4.12
- at the temperature of:
- 20 °C
Additional information
Using the fragment constant method of the KOWWIN V.1.69 program of EPI Suite, the weighted average partition coefficient (log Kow) value for test substance was predicted to be 3.60. According to the group contribution method of Molinspiration (miLogP 2.2), the weighted average log Kow was 4.61. According to the efficient partition algorithm and associative neural network-based regression equations from ALOGPS V.2.1, the weighted average log Kow was 4.14.
The average value of 4.12 was retained for risk assessment purposes.
Information on Registered Substances comes from registration dossiers which have been assigned a registration number. The assignment of a registration number does however not guarantee that the information in the dossier is correct or that the dossier is compliant with Regulation (EC) No 1907/2006 (the REACH Regulation). This information has not been reviewed or verified by the Agency or any other authority. The content is subject to change without prior notice.
Reproduction or further distribution of this information may be subject to copyright protection. Use of the information without obtaining the permission from the owner(s) of the respective information might violate the rights of the owner.