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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Ecotoxicological information

Toxicity to aquatic algae and cyanobacteria

Administrative data

Endpoint:
toxicity to aquatic algae and cyanobacteria
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

Data source

Reference
Title:
ECOSAR (US EPA)
Year:
2017
Bibliographic source:
ECOSAR (US EPA) Version 2.0

Materials and methods

Principles of method if other than guideline:
- Software tool(s) used including version: ECOSAR (US EPA)
- Model(s) used: ECOSAR (US EPA) Version 2.0
- Model description: see field 'Attached justification'
GLP compliance:
no

Test material

1
Chemical structure
Reference substance name:
α-[2-(methylamino)ethyl]benzyl alcohol
EC Number:
255-679-8
EC Name:
α-[2-(methylamino)ethyl]benzyl alcohol
Cas Number:
42142-52-9
Molecular formula:
C10H15NO
IUPAC Name:
3-(methylamino)-1-phenylpropan-1-ol

Results and discussion

Effect concentrations
Duration:
48 h
Dose descriptor:
EC50
Effect conc.:
16.43 mg/L
Nominal / measured:
estimated
Conc. based on:
other: Aliphatic Amines SAR
Remarks on result:
other: prediction
Details on results:
The predictions do not indicate extreme or acute toxicities relevant for classification and labelling. The assessment indicates that the prediction is suitable for the regulatory conclusion in accordance with the tonnage driven information requirements.

Applicant's summary and conclusion

Conclusions:
The predictions do not indicate extreme or acute toxicities relevant for classification and labelling. The assessment indicates that the prediction is suitable for the regulatory conclusion in accordance with the tonnage driven information requirements.