2,4,7,9-Tetramethyldec-5-yne-4,7-diol, ethoxylated

Short-term toxicity to fish

Link to relevant study record(s)

Reference

Reference 1

Endpoint:

short-term toxicity to fish

Type of information:

(Q)SAR

Adequacy of study:

supporting 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 limited documentation / justification

Justification for type of information:

1. SOFTWARE
EpiSuite v4.11, US EPA, 2012

2. MODEL (incl. version number)
Ecosar v1.11

3. SMILES OR OTHER IDENTIFIERS USED AS INPUT FOR THE MODEL
CC(O)(C#CC(C)(O)CC(C)C)CC(C)C
CC(CC(C)C)(C#CC(C)(O)CC(C)C)OCCO
OCCOCCOC(C)(CC(C)C)C#CC(C)(O)CC(C)C
CC(CC(C)C)(C#CC(C)(CC(C)C)OCCO)OCCO
CC(C)CC(C)(O)C#CC(C)(CC(C)C)OCCOCCOCCO
OCCOCCOC(C)(CC(C)C)C#CC(C)(CC(C)C)OCCO
CC(C)CC(C)(O)C#CC(C)(CC(C)C)OCCOCCOCCOCCO
CC(C)CC(C)(OCCO)C#CC(C)(CC(C)C)OCCOCCOCCO
OCCOCCOC(C)(CC(C)C)C#CC(C)(CC(C)C)OCCOCCO

4. SCIENTIFIC VALIDITY OF THE (Q)SAR MODEL
- Defined endpoint: Aquatic toxicity
- Unambiguous algorithm: The QSARs in ECOSAR for both neutral organics and classes with excess toxicity are based on a linear mathematical relationship between the measured log Kow values and the corresponding log of the measured toxicity values (mmol/L) for a suite of training set chemicals within each class of interest. After collecting the training set information for each chemical including estimated log Kow and valid toxicity results, regression techniques are applied to the class-specific data sets to derive mathematical relationships between log Kow and toxicity (often called the resulting algorithm). These resulting class-specific equations typically take the form of y = mx + b, where “y” represents the toxic effect concentration (i.e. log LC50 in mmol/L) and “x” represents the log Kow value.
- Defined domain of applicability:
Currently there is no universally accepted definition of model domain. However, it should be considered that the estimates may be less accurate for compounds outside the molecular weight range of the training set compounds, and/or that have strongly differing log Kow as compared to training set compounds. Although the training set of the model contains a large number of diverse molecules and can be considered abundant, it is also possible that a compound may be characterised by structural features (e.g. functional groups) not represented in the training set, with no respective correction coefficient developed. These points should be taken into consideration when interpreting model results. In the development of the ECOSAR equations for neutral organics and classes with excess toxicity, the training sets generally include chemicals with log Kow values in the range of -3 to 8 and molecular weights less than 1000.
- Appropriate measures of goodness-of-fit and robustness and predictivity:
In its most simple design, an external evaluation uses chemicals not employed in the development of the model and takes the form of a direct comparison between the experimental and estimated values for the chemicals. When the predicted endpoint is quantitative (provides a numeric value), a regression analysis is performed comparing the experimental and estimated data to ascertain the coefficient of determination (r²) for the model. This coefficient of determination is used as a surrogate measure for the predictivity. The higher the r² value, the greater the correlation between experimental and estimated values, the better the predictive accuracy of the model.
- Mechanistic interpretation: The underlying predictive methodology is described in the following publication: Meylan, WM; Howard, P. (1995) Atom/Fragment Contribution Method for Estimating Octanol-Water Partition Coefficients. J Pharm Sci 84: 83-92.

5. APPLICABILITY DOMAIN
- Descriptor domain: Water solubility, log Kow, molecular weight
- Structural and mechanistic domains: ECOSAR estimates estimates the log of the octanol/water partition coefficient using methodology developed by the U.S. EPA and currently used in the U.S. EPA/OPPT EPISuite model for evaluation of physical-chemical properties and environmental fate of chemicals (the KOWWIN program). The underlying predictive methodology is described in the following publication: Meylan, WM; Howard, P. (1995) Atom/Fragment Contribution Method for Estimating Octanol-Water Partition Coefficients. J Pharm Sci 84: 83-92.
- Similarity with analogues in the training set: The HELP menu in the ECOSAR Class Program contains QSAR Equation Documents for all QSARs within each chemical class to provide transparency in the QSAR methods and supporting measured data.

6. ADEQUACY OF THE RESULT
The substance falls within the applicability domain with respect to water solubility, log Kow, molecular weight. The data are used as supporting data. Experimental data are available for one of the constituents (2,4,7,9-Tetramethyl-5-decyne-4,7-diol, monomer). The results of this QSAR demonstrate, that 2,4,7,9-Tetramethyl-5-decyne-4,7-diol represents the worst case and can be used to cover the endpoint in a read-across approach (see also Justification for read-across attached to IUCLID chapter 13).

Principles of method if other than guideline:

Estimation of ecotoxicity using EpiWeb v4.11, ECOSAR v1.11

GLP compliance:

no

Remarks:

not applicable for in silico study

Water media type:

freshwater

Total exposure duration:

96 h

Duration:

96 h

Dose descriptor:

LC50

Effect conc.:

>= 6.67 - <= 35.75 mg/L

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

mortality (fish)

Sublethal observations / clinical signs:

	SMILES	Fish, 96 h LC50 [mg/L]
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, monomer	CC(O)(C#CC(C)(O)CC(C)C)CC(C)C	6.674
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (1/0)	CC(CC(C)C)(C#CC(C)(O)CC(C)C)OCCO	7.779
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (2/0)	OCCOCCOC(C)(CC(C)C)C#CC(C)(O)CC(C)C	13.173
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (1/1)	CC(CC(C)C)(C#CC(C)(CC(C)C)OCCO)OCCO	13.173
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (3/0)	CC(C)CC(C)(O)C#CC(C)(CC(C)C)OCCOCCOCCO	21.868
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (2/1)	OCCOCCOC(C)(CC(C)C)C#CC(C)(CC(C)C)OCCO	21.868
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (4/0)	CC(C)CC(C)(O)C#CC(C)(CC(C)C)OCCOCCOCCOCCO	35.754
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (3/1)	CC(C)CC(C)(OCCO)C#CC(C)(CC(C)C)OCCOCCOCCO	35.754
2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (2/2)	OCCOCCOC(C)(CC(C)C)C#CC(C)(CC(C)C)OCCOCCO	35.754

Conclusions:

The 96 h LC50 values for the constituents of 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated range from 6.67 (2,4,7,9-Tetramethyl-5-decyne-4,7-diol, monomer) to 35.75 mg/L (2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (4/0)), demonstrating, that with increasing degree of ethoxylation the toxicity decreases (ECOSAR v1.11).

Reference 2

Endpoint:

short-term toxicity to fish

Type of information:

read-across from supporting substance (structural analogue or surrogate)

Adequacy of study:

key study

Justification for type of information:

REPORTING FORMAT FOR THE ANALOGUE APPROACH

1. HYPOTHESIS FOR THE ANALOGUE APPROACH
This read-across is based on the hypothesis that source and target substances have similar toxicological properties because
- they are manufactured from similar precursors under similar conditions
- they share structural similarities with common functional groups: the substances start with an acetylene group as core structure; geminal hydroxyl groups on the alpha carbon atoms; distal to the geminal hydroxyl groups is an isobutyl group (methyl isopropyl); the target substance 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (1.3) is further functionalised with ethylene oxide and has an ethoxylation degree of 1.3; the source substance 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (3.8) has an ethoxylation degree of 3.8
- they have similar physicochemical properties and thus, show a similar toxicokinetic behaviour
- they are expected to undergo similar metabolism: oxidation of the terminal methyl groups to result in alcohol, aldehyde and finally the corresponding acid

Therefore, read-across from the existing toxicity, ecotoxicity, environmental fate and physicochemical studies on the source substances is considered as an appropriate adaptation to the standard information requirements of REACH regulation.

2. SOURCE AND TARGET CHEMICAL(S) (INCLUDING INFORMATION ON PURITY AND IMPURITIES)
see “Justification for read-across” attached to IUCLID section 13

3. ANALOGUE APPROACH JUSTIFICATION
see “Justification for read-across” attached to IUCLID section 13

4. DATA MATRIX
see “Justification for read-across” attached to IUCLID section 13

Reason / purpose for cross-reference:

read-across source

Reason / purpose for cross-reference:

read-across source

Reason / purpose for cross-reference:

read-across source

Reason / purpose for cross-reference:

read-across: supporting information

Analytical monitoring:

no

Test organisms (species):

Pimephales promelas

Test type:

semi-static

Water media type:

freshwater

Total exposure duration:

96 h

Duration:

96 h

Dose descriptor:

LC50

Effect conc.:

36 mg/L

Nominal / measured:

nominal

Conc. based on:

test mat.

Basis for effect:

mortality (fish)

Conclusions:

For Pimephales promelas the 24, 48, 72, and 96-hour LC50 value was 36 ppm with 95 percent confidence intervals ranging from 31 to 41 ppm. All LC50 values were the same due to the fact that all death occured within the first 24 hours of the test.

Description of key information

96 h LC50 = 36 mg/L (OECD TG 203, Pimephales promelas; read-across: 2,4,7,9-Tetramethyl-5-decyne-4,7-diol)

Key value for chemical safety assessment

Fresh water fish

Fresh water fish

Effect concentration:

36 mg/L

Marine water fish

Marine water fish

Effect concentration:

52 mg/L

Additional information

Experimental data on the short-term toxicity to fish of 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (1.3) are not available. However, studies were conducted with the structurally related source substances2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (3.8)and 2,4,7,9-Tetramethyl-5-decyne-4,7-diol. In addition a QSAR calculation (ECOSAR) was performed for the components of the target substance. A justification for read-across is attached to iuclid section 13.

 

The 96h-LC50 for carp exposed to 2,4,7,9-Tetramethyl-5-decyne-4,7-diol was 42 mg/l with 0% mortality at 32 mg/l (LC0) and 100% mortality at 56 mg/l (LC100). Concentrations down to 18 mg/l induced effects on swimming behaviour and pigmentation, while no sub-lethal effects occurred at 10 mg/l.

 

An acute toxicity study was conducted in accordance with OECD TG 203 with 2,4,7,9-Tetramethyl-5-decyne-4,7-diol. For Pimephales promelas the 24, 48, 72, and 96-hour LC50 value was 36 ppm with 95 percent confidence intervals ranging from 31 to 41 ppm.

 

An acute toxicity (96 hours flow through) test in marine water for the test substance 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (3.8) on the juvenile S. maximus has been performed in accordance with the PARCOM method 1995, OECD Guideline 203, “Fish, acute toxicity test” and AnalyCen Ecotox S.O.P. Lab IIA 1.8. The 96 hour LC50-value for the test substance was found to be 52.5 mg/l. The 95% confidence limit could not be calculated. The NOEC value was estimated to 30 mg/l.

 

The 96 h LC50 values for the constituents of 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated range from 6.67 (2,4,7,9-Tetramethyl-5-decyne-4,7-diol, monomer) to 35.75 mg/L (2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (4/0)), demonstrating, that with increasing degree of ethoxylation the toxicity decreases (ECOSAR v1.11).

 

Overall, the value of 36 mg/L is considered to be the most relevant 96 h LC50 to fish of target substance 2,4,7,9-Tetramethyl-5-decyne-4,7-diol, ethoxylated (1.3).