Disodium 4,4'-bis[(4-anilino-6-methoxy-1,3,5-triazin-2-yl)amino]stilbene-2,2'-disulphonate

Biodegradation in water: screening tests

Link to relevant study record(s)

Reference

Endpoint:

biodegradation in water: ready biodegradability

Remarks:

prediction

Type of information:

(Q)SAR

Adequacy of study:

key study

Reliability:

2 (reliable with restrictions)

Rationale for reliability incl. deficiencies:

accepted calculation method

Justification for type of information:

1. SOFTWARE: EPI Suite

2. MODEL: v4.11

3. BIODEGRADATION MODELS
Linear model (Biowin1)
The fast biodegradation probability for any  compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), and then adding this summation to the equation constant which is 0.7475.  

Non-linear model (Biowin2)
Calculation of the fast biodegradation probability for any compound begins by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), then adding this summation to the equation constant which is 3.0087.  The non-linear fast biodegradation probability is then calculated from the logistic equation, where total = 3.0087 + the summation as described above:
non-linear probability  =  exp(total) / (1 + exp(total) )

Ultimate and primary survey model (Biowin3 and Biowin4)
These two models estimate the time required for "complete" ultimate and primary biodegradation.  Primary biodegradation is the transformation of a parent compound to an initial metabolite.  Ultimate biodegradation is the transformation of a parent compound to carbon dioxide and water, mineral oxides of any other elements present in the test compound, and new cell material.  The models are based upon a survey of 17 biodegradation experts conducted by EPA, in which the experts were asked to evaluate 200 compounds in terms of the time required to achieve ultimate and primary biodegradation in a typical or "evaluative" aquatic environment (Boethling et al. 1994).  Each expert rated the ultimate and primary biodegradation of each compound on a scale of 1 to 5. The ratings correspond to the following time units:   5 - hours;  4 - days;  3 - weeks;  2 - months;  1 - longer.   It should be noted that the ratings are only semi-quantitative and are not half-lives.  
The ultimate or primary rating of a compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound (for MW, the value of that parameter is multiplied by its coefficient), and then adding this summation to the equation constant which is 3.1992 for Biowin3 and 3.8477 for Biowin4. 

Calculated rating                        Words assigned, representing expected total
(numerical value from model)       degradation time
>4.75 - 5                                 hours
>4.25 - 4.75                                 hours to days
>3.75 - 4.25                                 days
>3.25 - 3.75                                 days to weeks
>2.75 - 3.25                                weeks
>2.25 - 2.75                               weeks to months        
>1.75 - 2.25                                 months
<1.75                                         recalcitrant


Linear and Non-Linear MITI Biodegradation Model (Biowin 5 and Biowin 6)
Under its Chemical Substances Control Law (CSCL), the Japanese have tested approximately 900 discrete substances in the Ministry of International Trade and Industry (MITI)-1 test.  This protocol for determining ready biodegradability is among six officially approved as ready biodegradability test guidelines of the OECD (Organization for Economic Cooperation and Development).  A total dataset of 884 chemicals was compiled to derive the fragment probability values that are applied in this MITI Biodegradability method.  The dataset consists of 385 chemical that were critically evaluated as "readily degradable" and 499 chemicals that were critically evaluated as "not readily biodegradable".
The 884 compound dataset was divided into a training dataset (589 compounds) and a validation dataset (295 compounds).  The critical biodegradation evaluations (results of the MITI tests) were either "readily degradable" or "not readily degradable"; "readily degradable" was assigned a numeric value of 1 and "not readily degradable" was assigned a numeric value of 0 (0 to 1 is the full probability range). The basic approach for deriving the fragment values is very similar to the approach used for the original linear/non-linear model described above.
Although the majority of fragments in the new MITI models are identical to fragments in the models described above, the new MITI models incorporate various changes.  For example, to provide fuller characterization of alkyl chain length and branching, the original C4 terminal alkyl group fragment was replaced with a fragment set consisting of -CH3, -CH2 (both linear and ring types), -CH (both linear and ring types), and -C=CH (alkenyl hydrogen). The final MITI models contain 42 fragments and molecular weight as independent variables.

Anaerobic Biodegradation Model (Biowin 7)
Biowin7 estimates the probability of fast biodegradation under methanogenic anaerobic conditions; specifically, under the conditions of the "serum bottle" anaerobic biodegradation screening test (Meylan et al. 2007).  A total of 169 compounds with serum bottle test data were identified for use in model development.  This data set was not separated into separate training and validation sets: all available compounds were used for the regression. Each compound was scored "pass" or "fail" using 60% of theoretical gas production in 56 days (i.e. normal test duration) as the pass criterion; for model regression, Pass=1 and Fail=0.A set of 37 fragments was developed using existing fragments from the other BIOWIN models. Molecular weight is not used as a predictive variable. The probability of fast biodegradation for any compound is calculated by summing, for all the fragments present in that compound, the fragment coefficient multiplied by the number of instances of the fragment in the compound, and then adding this summation to the equation constant which is 0.8361.  

Guideline:

other: REACH Guidance on QSARs R.6

Parameter:

probability of ready biodegradability (QSAR/QSPR)

Remarks on result:

not readily biodegradable based on QSAR/QSPR prediction

Details on results:

Probability of Rapid Biodegradation (BIOWIN v4.10)
Biowin1 (Linear Model): -0.4629
Biowin2 (Non-Linear Model): 0.000

Expert Survey Biodegradation Results:
Biowin3 (Ultimate Survey Model): 0.6765 (recalcitrant)
Biowin4 (Primary Survey Model): 2.3944 (weeks-months)

MITI Biodegradation Probability:
Biowin5 (MITI Linear Model): -1.3987
Biowin6 (MITI Non-Linear Model): 0.0000

Anaerobic Biodegradation Probability:
Biowin7 (Anaerobic Linear Model): -2.2260

Ready Biodegradability Prediction: NO

Ready Biodegradability Prediction: YES or NO

 

The criteria for the YES or NO prediction are as follows:  if the Biowin3 (ultimate survey model) result is "weeks" or faster (i.e. days, days to weeks, or weeks) AND the Biowin5 (MITI linear model) probability is >= 0.5, then the prediction is YES (readily biodegradable).  If this condition is not satisfied, the prediction is NO (not readily biodegradable).

 

This method is based on the application of Bayesian analysis to ready biodegradation data for US Premanufacture Notification (PMN) chemicals, derived collectively from all six OECD301 test methods plus OECD310.  The approach is fully described in Boethling et al. (2004).

 

The linear and nonlinear MITI models (Biowin5 and 6) also predict ready biodegradability, but for degradation in the OECD301C test only, and based exclusively on data from the Chemicals Evaluation and Research Institute Japan (CERIJ) database (http://www.cerij.or.jp/ceri_en/otoiawase/otoiawase_menu.html).

Validity criteria fulfilled:

not applicable

Remarks:

estimation by EPI Suite

Interpretation of results:

not readily biodegradable

Conclusions:

Based on prediction carried out with EPI Suite, the substance resulted as non ready biodegradable.

Executive summary:

Method

Estimate of probability of rapid biodegradation relying on BIOWIN v4.10 in EPI Suite prediction tool. The overall assessment is based on the responses given by different predictive models for biodegradability under various conditions: linear and non-linear models, ultimate and primary survey models, MITI linear and non-linear models, anaerobic linear model.

Results

The substance was predicted to be not ready biodegradable.

Description of key information

Non readily biodegradable based on prediction by BIOWIN v4.10 as implemented in EPI Suite v4.11.

Additional information

Experimental studies were carried out to measure BOD5 and COD values. As no details on test procedures and results were available, such data was only used as a qualitative indication of the substance behaviour.

Results were reported in the table:

test material	purity	pH	BOD5 (mg O2/g)	COD (mg O2/g)	BOD5/COD	date
Rylux PRS 747	80 % (10 % NaCl, 10 % Na2SO4)	9.55	11.4	685.3	0.02	1994
FAT 65'006/A	57%	9.6	0 (DEV H5)	778 (DEV H4)	0	1974
FAT 65'006/C	n.a.	7.5	6 (DEV H5)	915 (DEV H4)	0	1973
FAT 65'006/D	83%	10 (method 17)	0 (method 15)	1076 (method 16)	0	1975
FAT 65'006	34%	9	0 (DEV H5)	492 (DEV H4)	0	1973

Irrespective of the sample composition, in terms of dye content, no indication of ready biodegradability potential was found, i.e. BOD5/COD ca. 0, thus confirming prediction by EPI Suite tool.