Registration Dossier
Registration Dossier
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EC number: 945-713-6 | CAS number: -
Adsorption / desorption
Administrative data
Link to relevant study record(s)
- Endpoint:
- adsorption / desorption: screening
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- 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
- Remarks:
- Internationally accepted method, EPI-Suite, EPA (USA)
- Justification for type of information:
- See attached the QMRF and QPRF for the QSAR model.
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992).
SRC.1991. Group Contribution Method for Predicting Soil Sorption Coefficients. William Meylan & Philip H. Howard, Syracuse Research Corporation (June 3, 1991). EPA Contract No. 68-D8-0117 (Work Assignment 2-19); SRC F0118-219. - Specific details on test material used for the study:
- SMILES: C(C(CC1C2)C2)(C1(C)C)=C
- Key result
- Type:
- Koc
- Value:
- 1 020 L/kg
- Remarks on result:
- other: QSAR predicted value
- Key result
- Type:
- log Koc
- Value:
- 3.009 dimensionless
- Remarks on result:
- other: QSAR predicted value
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Executive summary:
The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Endpoint:
- adsorption / desorption: screening
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- 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
- Remarks:
- Internationally accepted method, EPI-Suite, EPA (USA)
- Justification for type of information:
- See attached the QMRF and QPRF for the QSAR model.
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992).
SRC.1991. Group Contribution Method for Predicting Soil Sorption Coefficients. William Meylan & Philip H. Howard, Syracuse Research Corporation (June 3, 1991). EPA Contract No. 68-D8-0117 (Work Assignment 2-19); SRC F0118-219. - Specific details on test material used for the study:
- SMILES: C(CC1C2)C(C2=C)C1(C)C
- Key result
- Type:
- Koc
- Value:
- 1 020 L/kg
- Remarks on result:
- other: QSAR predicted value
- Key result
- Type:
- log Koc
- Value:
- 3.009 dimensionless
- Remarks on result:
- other: QSAR predicted value
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Executive summary:
The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Endpoint:
- adsorption / desorption: screening
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- 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
- Remarks:
- Internationally accepted method, EPI-Suite, EPA (USA)
- Justification for type of information:
- See attached the QMRF and QPRF for the QSAR model.
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992).
SRC.1991. Group Contribution Method for Predicting Soil Sorption Coefficients. William Meylan & Philip H. Howard, Syracuse Research Corporation (June 3, 1991). EPA Contract No. 68-D8-0117 (Work Assignment 2-19); SRC F0118-219. - Specific details on test material used for the study:
- SMILES: C(C(CC1C2)C1(C)C)(=C2)C
- Key result
- Type:
- Koc
- Value:
- 1 020 L/kg
- Remarks on result:
- other: QSAR predicted value
- Key result
- Type:
- log Koc
- Value:
- 3.009 dimensionless
- Remarks on result:
- other: QSAR predicted value
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Executive summary:
The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Endpoint:
- adsorption / desorption: screening
- Type of information:
- (Q)SAR
- Adequacy of study:
- weight of evidence
- 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
- Remarks:
- Internationally accepted method, EPI-Suite, EPA (USA)
- Justification for type of information:
- See attached the QMRF and QPRF for the QSAR model.
- Guideline:
- other: REACH Guidance on QSARs R.6
- Principles of method if other than guideline:
- Meylan, W., P.H. Howard and R.S. Boethling, "Molecular Topology/Fragment Contribution Method for Predicting Soil Sorption Coefficients", Environ. Sci. Technol. 26: 1560-7 (1992).
SRC.1991. Group Contribution Method for Predicting Soil Sorption Coefficients. William Meylan & Philip H. Howard, Syracuse Research Corporation (June 3, 1991). EPA Contract No. 68-D8-0117 (Work Assignment 2-19); SRC F0118-219. - Specific details on test material used for the study:
- SMILES: C(C(CC1C2)C2)(C1(C)C)=C
- Key result
- Type:
- Koc
- Value:
- 1 020 L/kg
- Remarks on result:
- other: QSAR predicted value
- Key result
- Type:
- log Koc
- Value:
- 3.009 dimensionless
- Remarks on result:
- other: QSAR predicted value
- Validity criteria fulfilled:
- not applicable
- Conclusions:
- The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
- Executive summary:
The estimated soil adsorption coefficient is (KOCWIN v2.00, MCI method): Koc: 1020 L/kg and Log Koc: 3.0087.
Referenceopen allclose all
KOCWIN predicted that D-camphene has a Koc of 1020 L/kg and a log Koc of 3.0087.
KOCWIN predicted that fenchene has a Koc of 1020 L/kg and a log Koc of 3.0087.
KOCWIN predicted that L-alpha pinene has a Koc of 1020 L/kg and a log Koc of 3.0087.
KOCWIN predicted that L-camphene has a Koc of 1020 L/kg and a log Koc of 3.0087.
Description of key information
Weight of evidence: KOCWIN v2.00, MCI method. Soil adsorption was estimated to be the same for all main components of the multi-constituent test substance: Koc = 1020 L/kg and Log Koc = 3.0087. Thus, the test substance has been determined to be a Koc = 1020 L/kg and a Log Koc = 3.0087.
Key value for chemical safety assessment
- Koc at 20 °C:
- 1 020
Additional information
Weight of evidence: Soil adsorption for the main components of the multi-constituent test substance was estimated by KOCWIN v2.00, MCI method. As the results were exactly the same for each component, that is, Koc = 1020 L/kg and Log Koc = 3.0087, it was determined for the test substance to have these same values.
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