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Bioaccumulation: aquatic / sediment

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Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
10 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
4.7 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The estimated BCF for this substance is 10 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology described by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for Buta-1,3 -diene is 10 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
16 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
10 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The predicted BCF for this constituent is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology descrived by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for Prop-1 -ene, 2 -methyl- is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
16 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
9.4 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The predicted BCF for this constituent is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology descrived by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for But-2 -ene, cis- is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
16 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
9.4 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The predicted BCF for this constituent is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology descrived by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for But-2 -ene, trans- is 16 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
37 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
29 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The predicted BCF for this constituent is 37 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology descrived by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for Butane is 37 L/kg (the highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Endpoint:
bioaccumulation in aquatic species: fish
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:
Episuite and the BCFBAF models are well documented and commonly used QSARs for predicting the bioaccumulation potential of chemicals. Substances within LOA fall within the applicability domain of these models and they have been recommended by ECHA in the Information Requirement Guidelines.
Reason / purpose for cross-reference:
(Q)SAR model reporting (QMRF)
Qualifier:
no guideline required
Principles of method if other than guideline:
Formerly called BCFWIN, the BCFBAF program estimates fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.
Key result
Type:
BCF
Value:
31 L/kg
Basis:
whole body w.w.
Calculation basis:
other: Regression based estimation
Remarks on result:
other: Result from QSAR
Key result
Type:
BCF
Value:
22 L/kg
Basis:
whole body w.w.
Calculation basis:
other: BCF Arno-Gobas method (upper trophic) (5% lipid normalisation)
Remarks on result:
other: Result from QSAR
Conclusions:
The predicted BCF for this constituent is 31 L/kg (highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).
Executive summary:

The bioconcentration factor (BCF) value has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology descrived by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF for Propane, 2 -methyl- is 31 L/kg ( highest value of the Arnot-Gobas (upper trophic with 5% lipid normalisation) and the regression-based estimates).

Description of key information

The members of this category are gases at standard temperature and pressure and will predominantly partition to the atmosphere. The use of QSAR to predict the bioaccumulation of representative constituents of these streams is an appropriate technique and it is more appropriate to consider the bioaccumulation of representative constituents of these streams.

The representative constituents of the category studied and used as supporting read-across are But-1-en-3-yne (CAS 689-97-4), But-1-ene (CAS 106-98-9), But-2-ene, cis- (CAS 590-18-1), But-2-ene, trans- (CAS 624-64-6), Buta-1,2-diene (CAS 590-19-2), Buta-1,3-diene (CAS 106-99-0), Butane (CAS 106-97-8), Prop-1-ene, 2-methyl- (CAS 115-11-7), Propane, 2-methyl- (CAS 75-28-5).

The bioconcentration factor (BCF) values of representative constituents of this category has been predicted using the EPISUITE v4.11 BCFBAF (2017) model, which uses methodology described by Arnot-Gobas et al. (2003, 2006, 2008). The predicted BCF values range from 4 to 37 L/kg ww (regression based estimation) and 1 to 29 L/kg ww (Arno-Gobas method (upper trophic)).

Key value for chemical safety assessment

Additional information

Formerly called BCFWIN, the BCFBAF program predicts fish bioconcentration factor (BCF) and its logarithm using two different methods. The first is the traditional regression based on log KOW plus any applicable correction factors. The second is the Arnot-Gobas method, which calculates BCF from mechanistic first principles. BCFBAF also incorporates prediction of apparent metabolism half-life in fish, and estimates BCF and BAF for three trophic levels. The program is based on methodologies developed by Arnot-Gobas et al. (2003, 2006, 2008). A 5% lipid normalisation has been used for the Arnot-Gobas method BCF values, as recommended in OECD TG 305.