Reaction mass of phenol and tetraphenylphosphonium phenolate

Partition coefficient

Link to relevant study record(s)

Reference

Reference 1

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 adequate and reliable documentation / justification

Justification for type of information:

1. SOFTWARE
Individual model KOWWIN included in the Estimation Programs Interface (EPI) Suite.

2. MODEL (incl. version number)
KOWWIN v1.68 included in EPISuite v 4.11, ©2000 - 2012

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
A SMILES notation was entered in the initial data entry screen. In the structure window, the molecular weight, structural formula and the structure of the input SMILES notation is shown.

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL

a. Defined Endpoint: Octanol-water partition coefficient

b. Explicit algorithm:
The program methodology is known as an Atom/Fragment Contribution (AFC) method. 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.
The equation is as follows: Log Kow = Sum (fini) + Sum (cjnj) + 0.229, where Sum (fini) is the summation of fi (the coefficient for each atom/fragment) times ni (the number of times the atom/fragment occurs in the structure), and (cjnj) is the summation of cj (the coefficient for each correction factor) times nj (the number of times the correction factor occurs (or is applied) in the molecule). The program requires only a chemical structure to estimate a log P. KOWWIN initially separates a molecule into distinct atom/fragments. For various types of structures, that log P estimates made from atom/fragment values alone could or needed to be improved by inclusion of substructures larger or more complex than "atoms"; hence, correction factors were added to the AFC method.

c. Descriptor selection:
As the program requires only a chemical structure to estimate a log P, KOWWIN initially separates a molecule into distinct atom/fragments. Each non-hydrogen atom (e.g. carbon, nitrogen, oxygen, sulfur, etc.) in a structure is a "core" for a fragment; the exact fragment is determined by what is connected to the atom. Several functional groups are treated as core "atoms". Connections to each core "atom" are either general or specific. For example, aromatic carbon, aromatic oxygen and aromatic sulfur atoms have nothing but general connections; i.e., the fragment is the same no matter what is connected to the atom. In contrast, the aliphatic carbon atom does not matter what is connected to -CH3, -CH2-, or -CH<, the fragment is the same; however, an aliphatic carbon with no hydrogens has two possible fragments: (a) if there are four single bonds with 3 or more carbon connections and (b) any other not meeting the first criteria. Additionally, for various types of structures, need to be improved by inclusion of substructures larger or more complex than "atoms" by adding correction factors. The correction factors have two main groupings: first, factors involving aromatic ring substituent positions and second, miscellaneous factors. In general, the correction factors are values for various steric interactions, hydrogen-bondings, and effects from polar functional substructures. Individual correction factors were selected through a tedious process of correlating the differences (between log P estimates from atom/fragments alone and measured log P values) with common substructures.

d. Defined domain of applicability: For each fragment the maximum number of instances of that fragment in any of the 2447 training set compounds and 10946 validation set compounds is located in Appendix D of the help menu of the EPISuite data entry page. The minimum and the maximum values for molecular weight are the following:
Training Set Molecluar Weights: 18.02-719.92 g/mol
Validation Set Molecular Weights: 27.03-991.15 g/mol

e. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.
KOWWIN has been tested on an external validation dataset of 10,946 compounds. The validation set includes a diverse selection of chemical structures that rigorously test the predictive accuracy of any model. It contains many chemicals that are similar in structure to chemicals in the training set, but also many chemicals that are different from and structurally more complex than chemicals in the training set. The average molecular weight of compounds in the validation set is 258.98 versus 199.98 for the training set.
(Training dataset includes a total of 2447 compounds)
(Validation dataset includes a total of 10946 compounds)

f. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

5. APPLICABILITY DOMAIN
a. Descriptor domains:
i. Molecular weights: With a molecular weight of 374.85 g/mol the substance is within the range of the training set (18.02 - 719.92 g/mol) as well as in the range of the validation set (27.03 - 991.15 g/mol).
ii. Structural fragment domain: Regarding the structure of tetraphenylphosphonium chloride, most of the fragment descriptors found by the program are listed in Appendix D (KOWWIN Fragment and Correction Factor descriptors). The fragment descriptor >P< is not listed in Appendix D, therefore an estimaed coefficient was used for calculation of this fragment. Additionally the substance is not listed in Appendix F (Compounds that exceed the Fragment & Molecular Weight Domains).
iii. Mechanism domain: No information available
iv. Metabolic domain, if relevant: Not relevant
b. Structural analogues: No information available
i. Considerations on structural analogues: No information available

6. ADEQUACY OF THE RESULT
a. Regulatory purpose: The data may be used under any regulatory purpose.
b. Approach for regulatory interpretation of the model result: If no experimental data are available, the estimated value is used to fill data gaps needed for hazard and risk assessment, classification and labelling and PBT / vPvB assessment. Further the value can be used for other calculations.
c. Outcome: The prediction of the logarithmic octanol-water partition coefficient yields an acceptable result with an individual uncertainty for further evaluation.
d. Conclusion: The result is considered as acceptable for regulatory purposes.

Guideline:

other: REACH guidance QSARs R6, May/July 2008

Principles of method if other than guideline:

Estimation Program Interface EPI-Suite version 4.11: KOWWIN for estimating the logarithmic octanol-water partition coefficient (log Kow).
The Estimation Programs Interface was developed by the US Environmental Agency's Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC).© 2000 - 2012 U.S. Environmental Protection Agency for EPI SuiteTM (Published online in November 2012).

GLP compliance:

no

Type of method:

other: QSAR

Partition coefficient type:

octanol-water

Type:

log Pow

Partition coefficient:

0.545

Remarks on result:

other: Temp. and pH are not reported

Validity of model:

1. Defined Endpoint: Octanol-water partition coefficient

2. Unambiguous algorithm: The molecule is separated into distinct atom/fragments using an Atom/Fragment Contribution method. Based on structure of the molecule, the following fragments were applied: aromatic carbon, chlorine-aliphatic attach, phosphonium +5 type and a correction factor for phosphorous-halogen is applied. The number of times of the fragments that occurs in the structure of the substance applied by the program is verified.

3. Applicability domain: With a molecular weight of 374.85 g/mol the substance is within the range of the training set (18.02 - 719.92) as well as in the range of the validation set (27.03 - 991.15).

4. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.

5. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

6. Uncertainty of the prediction: Tetraphenlyphosphonium chloride is highly complex but most of the rules applied for the substance still appear appropriate. An individual uncertainty for the investigated substance is available, because the fragment descriptor >P< is not listed in Appendix D and an estimated coefficient was used for calculation of this fragment.

7. Adequacy of prediction: The prediction of the logarithmic octanol-water partition coefficient yields an acceptable result with an individual uncertainty for further evaluation.

Conclusions:

The QSAR determination of the logarithmic octanol-water partition coefficient for tetraphenylphosphonium chloride using the model KOWWIN included in the Estimation Program Interface (EPI) Suite v4.11 revealed a value of 0.545 of the substance. The prediction of the logarithmic octanol-water partition coefficient yields an acceptable result with an individual uncertainty for further evaluation.

Executive summary:

The logarithmic octanol-water partition coefficient (log Kow) for tetraphenylphosphonium chloride was predicted using the QSAR calculation of the Estimation Program Interface (EPI) Suite v 4.11. The log Kow was estimated to be 0.545. The prediction of the logarithmic octanol-water partition coefficient yields an acceptable result with an individual uncertainty for further evaluation. But an experimental study of water solubility shows solubility of tetraphenlyphosphonium of 0.84 g/L (Neuland, 2017). This measured solubility supports the low value of the calculated log Kow. Therefore, the calculated log Kow value is useful for regulatory purposes.

Reference 2

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 adequate and reliable documentation / justification

Justification for type of information:

1. SOFTWARE
Individual model KOWWIN included in the Estimation Programs Interface (EPI) Suite.

2. MODEL (incl. version number)
KOWWIN v1.68 included in EPISuite v 4.11, ©2000 - 2012

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
A SMILES notation was entered in the initial data entry screen. In the structure window, the molecular weight, structural formula and the structure of the input SMILES notation is shown.

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL

a. Defined Endpoint: Octanol-water partition coefficient

b. Explicit algorithm:
The program methodology is known as an Atom/Fragment Contribution (AFC) method. 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.
The equation is as follows: Log Kow = Sum (fini) + Sum (cjnj) + 0.229, where Sum (fini) is the summation of fi (the coefficient for each atom/fragment) times ni (the number of times the atom/fragment occurs in the structure), and (cjnj) is the summation of cj (the coefficient for each correction factor) times nj (the number of times the correction factor occurs (or is applied) in the molecule). The program requires only a chemical structure to estimate a log P. KOWWIN initially separates a molecule into distinct atom/fragments. For various types of structures, that log P estimates made from atom/fragment values alone could or needed to be improved by inclusion of substructures larger or more complex than "atoms"; hence, correction factors were added to the AFC method.

c. Descriptor selection:
As the program requires only a chemical structure to estimate a log P, KOWWIN initially separates a molecule into distinct atom/fragments. Each non-hydrogen atom (e.g. carbon, nitrogen, oxygen, sulfur, etc.) in a structure is a "core" for a fragment; the exact fragment is determined by what is connected to the atom. Several functional groups are treated as core "atoms". Connections to each core "atom" are either general or specific. For example, aromatic carbon, aromatic oxygen and aromatic sulfur atoms have nothing but general connections; i.e., the fragment is the same no matter what is connected to the atom. In contrast, the aliphatic carbon atom does not matter what is connected to -CH3, -CH2-, or -CH<, the fragment is the same; however, an aliphatic carbon with no hydrogens has two possible fragments: (a) if there are four single bonds with 3 or more carbon connections and (b) any other not meeting the first criteria. Additionally, for various types of structures, need to be improved by inclusion of substructures larger or more complex than "atoms" by adding correction factors. The correction factors have two main groupings: first, factors involving aromatic ring substituent positions and second, miscellaneous factors. In general, the correction factors are values for various steric interactions, hydrogen-bondings, and effects from polar functional substructures. Individual correction factors were selected through a tedious process of correlating the differences (between log P estimates from atom/fragments alone and measured log P values) with common substructures.

d. Defined domain of applicability: For each fragment the maximum number of instances of that fragment in any of the 2447 training set compounds and 10946 validation set compounds is located in Appendix D of the help menu of the EPISuite data entry page. The minimum and the maximum values for molecular weight are the following:
Training Set Molecluar Weights: 18.02-719.92 g/mol
Validation Set Molecular Weights: 27.03-991.15 g/mol

e. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.
KOWWIN has been tested on an external validation dataset of 10,946 compounds. The validation set includes a diverse selection of chemical structures that rigorously test the predictive accuracy of any model. It contains many chemicals that are similar in structure to chemicals in the training set, but also many chemicals that are different from and structurally more complex than chemicals in the training set. The average molecular weight of compounds in the validation set is 258.98 versus 199.98 for the training set.
(Training dataset includes a total of 2447 compounds)
(Validation dataset includes a total of 10946 compounds)

f. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

5. APPLICABILITY DOMAIN
a. Descriptor domains:
i. Molecular weights: With a molecular weight of 116.1 g/mol the substance is within the range of the training set (18.02 - 719.92 g/mol) as well as in the range of the validation set (27.03 - 991.15 g/mol).
ii. Structural fragment domain: Regarding the structure of sodium phenolate, the fragment descriptors found by the program are complete and listed in Appendix D (KOWWIN Fragment and Correction Factor descriptors). Additionally the substance is not listed in Appendix F (Compounds that exceed the Fragment & Molecular Weight Domains).
iii. Mechanism domain: No information available
iv. Metabolic domain, if relevant: Not relevant
b. Structural analogues: No information available
i. Considerations on structural analogues: No information available

6. ADEQUACY OF THE RESULT
a. Regulatory purpose: The data may be used under any regulatory purpose.
b. Approach for regulatory interpretation of the model result: If no experimental data are available, the estimated value is used to fill data gaps needed for hazard and risk assessment, classification and labelling and PBT / vPvB assessment. Further the value can be used for other calculations.
c. Outcome: The prediction of the logarithmic octanol-water partition coefficient yields a useful result for further evaluation.
d. Conclusion: KOWWIN considers sodium phenolate as an “ion pair” compound and gives a corresponding estimate; effectively, the estimate for sodium phenolate is an estimate for ionized phenol. The result is considered as useful for regulatory purposes.

Guideline:

other: REACH guidance QSARs R6, May/July 2008

Principles of method if other than guideline:

Estimation Program Interface EPI-Suite version 4.11: KOWWIN for estimating the logarithmic octanol-water partition coefficient (log Kow).
The Estimation Programs Interface was developed by the US Environmental Agency's Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC).© 2000 - 2012 U.S. Environmental Protection Agency for EPI SuiteTM (Published online in November 2012).

GLP compliance:

no

Type of method:

other: QSAR

Partition coefficient type:

octanol-water

Type:

log Pow

Partition coefficient:

-1.17

Remarks on result:

other: Temp. and pH are not reported

Validity of model:

1. Defined Endpoint: Octanol-water partition coefficient

2. Unambiguous algorithm: The molecule is separated into distinct atom/fragments using an Atom/Fragment Contribution method. Based on structure of the molecule, the following fragments were applied: aromatic carbon and oxygen, one aromatic attach. The number of times of the fragments that occurs in the structure of the substance applied by the program is verified.

3. Applicability domain: With a molecular weight of 116.1 g/mol the substance is within the range of the training set (18.02 - 719.92) as well as in the range of the validation set (27.03 - 991.15).

4. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.

5. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

6. Adequacy of prediction: The result for sodium phenolate falls within the applicability domain described above and the estimation rules applied for the substance appears appropriate. Therefore the predicted value can be considered reliable yielding a useful result for further assessment.

Conclusions:

The QSAR determination of the logarithmic octanol-water partition coefficient for SUBSTANCE using the model KOWWIN included in the Estimation Program Interface (EPI) Suite v4.11 revealed a value of -1.17 of the substance. The predicted value can be considered reliable yielding a useful result for further assessment.

Executive summary:

The logarithmic octanol-water partition coefficient (log Kow) for sodium phenolate was predicted using the QSAR calculation of the Estimation Program Interface (EPI) Suite v 4.11. The log Kow was estimated to be -1.17. The predicted value can be considered reliable yielding a useful result for further assessment.

Reference 3

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 adequate and reliable documentation / justification

Justification for type of information:

1. SOFTWARE
Individual model KOWWIN included in the Estimation Programs Interface (EPI) Suite.

2. MODEL (incl. version number)
KOWWIN v1.68 included in EPISuite v 4.11, ©2000 - 2012

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
A CAS NUMBER was entered in the initial data entry screen. In the structure window, the molecular weight, structural formula and the structure of the input SMILES notation is shown.

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL

a. Defined Endpoint: Octanol-water partition coefficient

b. Explicit algorithm:
The program methodology is known as an Atom/Fragment Contribution (AFC) method. 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.
The equation is as follows: Log Kow = Sum (fini) + Sum (cjnj) + 0.229, where Sum (fini) is the summation of fi (the coefficient for each atom/fragment) times ni (the number of times the atom/fragment occurs in the structure), and (cjnj) is the summation of cj (the coefficient for each correction factor) times nj (the number of times the correction factor occurs (or is applied) in the molecule). The program requires only a chemical structure to estimate a log P. KOWWIN initially separates a molecule into distinct atom/fragments. For various types of structures, that log P estimates made from atom/fragment values alone could or needed to be improved by inclusion of substructures larger or more complex than "atoms"; hence, correction factors were added to the AFC method.

c. Descriptor selection:
As the program requires only a chemical structure to estimate a log P, KOWWIN initially separates a molecule into distinct atom/fragments. Each non-hydrogen atom (e.g. carbon, nitrogen, oxygen, sulfur, etc.) in a structure is a "core" for a fragment; the exact fragment is determined by what is connected to the atom. Several functional groups are treated as core "atoms". Connections to each core "atom" are either general or specific. For example, aromatic carbon, aromatic oxygen and aromatic sulfur atoms have nothing but general connections; i.e., the fragment is the same no matter what is connected to the atom. In contrast, the aliphatic carbon atom does not matter what is connected to -CH3, -CH2-, or -CH<, the fragment is the same; however, an aliphatic carbon with no hydrogens has two possible fragments: (a) if there are four single bonds with 3 or more carbon connections and (b) any other not meeting the first criteria. Additionally, for various types of structures, need to be improved by inclusion of substructures larger or more complex than "atoms" by adding correction factors. The correction factors have two main groupings: first, factors involving aromatic ring substituent positions and second, miscellaneous factors. In general, the correction factors are values for various steric interactions, hydrogen-bondings, and effects from polar functional substructures. Individual correction factors were selected through a tedious process of correlating the differences (between log P estimates from atom/fragments alone and measured log P values) with common substructures.

d. Defined domain of applicability: For each fragment the maximum number of instances of that fragment in any of the 2447 training set compounds and 10946 validation set compounds is located in Appendix D of the help menu of the EPISuite data entry page. The minimum and the maximum values for molecular weight are the following:
Training Set Molecluar Weights: 18.02-719.92 g/mol
Validation Set Molecular Weights: 27.03-991.15 g/mol

e. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.
KOWWIN has been tested on an external validation dataset of 10,946 compounds. The validation set includes a diverse selection of chemical structures that rigorously test the predictive accuracy of any model. It contains many chemicals that are similar in structure to chemicals in the training set, but also many chemicals that are different from and structurally more complex than chemicals in the training set. The average molecular weight of compounds in the validation set is 258.98 versus 199.98 for the training set.
(Training dataset includes a total of 2447 compounds)
(Validation dataset includes a total of 10946 compounds)

f. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

5. APPLICABILITY DOMAIN
a. Descriptor domains:
i. Molecular weights: With a molecular weight of 95.11 g/mol the substance is within the range of the training set (18.02 - 719.92 g/mol) as well as in the range of the validation set (27.03 - 991.15 g/mol).
ii. Structural fragment domain: Regarding the structure of phenol, the fragment descriptors found by the program are complete and listed in Appendix D (KOWWIN Fragment and Correction Factor descriptors). Additionally the substance is not listed in Appendix F (Compounds that exceed the Fragment & Molecular Weight Domains).
iii. Mechanism domain: No information available
iv. Metabolic domain, if relevant: Not relevant
b. Structural analogues: No information available
i. Considerations on structural analogues: No information available

6. ADEQUACY OF THE RESULT
a. Regulatory purpose: The data may be used under any regulatory purpose.
b. Approach for regulatory interpretation of the model result: If no experimental data are available, the estimated value is used to fill data gaps needed for hazard and risk assessment, classification and labelling and PBT / vPvB assessment. Further the value can be used for other calculations.
c. Outcome: The prediction of the logarithmic octanol-water partition coefficient yields a useful result for further evaluation.
d. Conclusion: The result is considered as useful for regulatory purposes.

Guideline:

other: REACH guidance QSARs R6, May/July 2008

Principles of method if other than guideline:

Estimation Program Interface EPI-Suite version 4.11: KOWWIN for estimating the logarithmic octanol-water partition coefficient (log Kow).
The Estimation Programs Interface was developed by the US Environmental Agency's Office of Pollution Prevention and Toxics and Syracuse Research Corporation (SRC).© 2000 - 2012 U.S. Environmental Protection Agency for EPI SuiteTM (Published online in November 2012).

GLP compliance:

no

Type of method:

other: QSAR

Partition coefficient type:

octanol-water

Type:

log Pow

Partition coefficient:

1.51

Remarks on result:

other: Temp. and pH are not reported

Validity of model:

1. Defined Endpoint: Octanol-water partition coefficient

2. Unambiguous algorithm: The molecule is separated into distinct atom/fragments using an Atom/Fragment Contribution method. Based on structure of the molecule, the following fragments were applied: aromatic carbon, hydroxy with aromatic attach. The number of times of the fragments that occurs in the structure of the substance applied by the program is verified.

3. Applicability domain: With a molecular weight of 95.11 g/mol the substance is within the range of the training set (18.02 - 719.92) as well as in the range of the validation set (27.03 - 991.15).

4. Statistical characteristics: Correlation coefficient of the total training set r² = 0.982; Correlation coefficient of the total validation set r² = 0.943.

5. Mechanistic interpretation: The structural fragments used as descriptors reflect the lipophilic or hydrophobic properties of the substances, and so the octanol-water partition coefficient.

6. Adequacy of prediction: The result for phenol falls within the applicability domain described above and the estimation rules applied for the substance appears appropriate. Therefore the predicted value can be considered reliable yielding a useful result for further assessment.

Conclusions:

The QSAR determination of the logarithmic octanol-water partition coefficient for phenol using the model KOWWIN included in the Estimation Program Interface (EPI) Suite v4.11 revealed a value of 1.51 of the substance. The predicted value can be considered reliable yielding a useful result for further assessment.

Executive summary:

The logarithmic octanol-water partition coefficient (log Kow) for phenol was predicted using the QSAR calculation of the Estimation Program Interface (EPI) Suite v 4.11. The log Kow was estimated to be 1.51. The predicted value can be considered reliable yielding a useful result for further assessment.

Description of key information

The log Kow of tetraphenlyphosphonium phenolate was calculated using counter ions (Cl-, Na+) since the KOWWIN software predominately estimated the octanol-water partition coefficient of non-ionized substances. Therefore, the log Kow of tetraphenylphosphonium chloride (CAS no. 2001-45-8) and sodium phenolate (CAS no. 139-02-6) was calculated.

The log Kow of tetraphenylphosphonium was calculated to be 0.545.

The log Kow of sodium phenolate was calculated to be -1.17.

The log Kow of phenol was calculated to be 1.51. Additionally, the log Kow of phenol was reported by various handbooks and reviews to be 1.4 -1.57 (20 - 30 °C).

All in all it can be concluded that the test item exhibits a log Kow <<2.

Key value for chemical safety assessment

Log Kow (Log Pow):

1.51

Additional information

The individual model KOWWIN included in the Estimation Programs Interface (EPI) Suite predominately estimates the octanol-water partition coefficient of non-ionized substances. There are exceptions, in particular, estimates for compounds considered as “ion pairs” such as sodium salts. Therefore, log Kow of tetraphenylphosphonium phenolate was calculated using counter ions (Cl-, Na+) to estimate log Kow of tetraphenylphosphonium chloride (CAS no. 2001-45-8) and sodium phenolate (CAS no. 139-02-6). The chosen counter ions have no significant impact on the calculated value of log Kow.

Log Kow of tetraphenylphosphonium chloride was calculated to be 0.545. Tetraphenlyphosphonium chloride is highly complex but most of the rules applied for the substance still appear appropriate. An individual uncertainty for the investigated substance is available, because the fragment descriptor >P< is not listed in Appendix D and an estimated coefficient was used for calculation of this fragment. Therefore, the prediction of the logarithmic octanol-water partition coefficient yields an acceptable result with an individual uncertainty for further evaluation. But an experimental study of water solubility shows solubility of tetraphenlyphosphonium of 0.84 g/L (Neuland, 2017). This measured solubility supports the low value of the calculated log Kow. Therefore, the calculated log Kow is useful for regulatory purposes.

Log Kow of sodium phenolate was calculated to be -1.17. KOWWIN considers sodium phenolate as an “ion pair” compound and gives a corresponding estimate; effectively, the estimate for sodium phenolate is an estimate for ionized phenol. The prediction of the logarithmic octanol-water partition coefficient yields a useful result for further evaluation.

The log Kow of phenol was calculated to be 1.51. Additionally, the log Kow of phenol was reported by various handbooks and reviews to be 1.4 -1.57 (20 - 30 °C)

All in all it can be concluded that the test item exhibits a log Kow <<2.