Registration Dossier

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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.

The new ECHA CHEM database has been released by ECHA, and it now contains all REACH registration data. There are more details on the transition of ECHA's published data to ECHA CHEM here.

Diss Factsheets

Environmental fate & pathways

Biodegradation in water: screening tests

Administrative data

Endpoint:
biodegradation in water: screening test, other
Type of information:
calculation (if not (Q)SAR)
Adequacy of study:
weight of evidence
Reliability:
4 (not assignable)

Data source

Reference
Reference Type:
other: secondary source
Title:
Predicted data is generated using the US Environmental Protection Agency’s EPISuite™
Year:
2018
Bibliographic source:
chemspider pyridine-3-sulfonyl chloride accessed 2018

Materials and methods

Test guideline
Qualifier:
no guideline available
Principles of method if other than guideline:
Predicted data is generated using the US Environmental Protection Agency’s EPISuite™
GLP compliance:
no

Test material

Constituent 1
Chemical structure
Reference substance name:
pyridine-3-sulfonyl chloride
EC Number:
688-270-1
Cas Number:
16133-25-8
Molecular formula:
C5H4ClNO2S
IUPAC Name:
pyridine-3-sulfonyl chloride

Study design

Oxygen conditions:
not specified
Inoculum or test system:
not specified

Results and discussion

% Degradation
Parameter:
other:
Remarks on result:
other: Predicted
Details on results:
Probability of Rapid Biodegradation (BIOWIN v4.10):
Biowin1 (Linear Model) : 0.5084
Biowin2 (Non-Linear Model) : 0.2402
Expert Survey Biodegradation Results:
Biowin3 (Ultimate Survey Model): 2.5925 (weeks-months)
Biowin4 (Primary Survey Model) : 3.5728 (days-weeks )
MITI Biodegradation Probability:
Biowin5 (MITI Linear Model) : 0.1831
Biowin6 (MITI Non-Linear Model): 0.0704
Anaerobic Biodegradation Probability:
Biowin7 (Anaerobic Linear Model): 1.0954
Ready Biodegradability Prediction: NO

Applicant's summary and conclusion

Conclusions:
Predicted data is generated using the US Environmental Protection Agency’s EPISuite™