Registration Dossier

Data platform availability banner - registered substances factsheets

Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Administrative data

short-term toxicity to fish
Type of information:
migrated information: read-across from supporting substance (structural analogue or surrogate)
Adequacy of study:
key study
2 (reliable with restrictions)

Data source

Reference Type:
acute toxicity of Ascorbic
Schlienger C. and Groner J.H.
Bibliographic source:
Hazardous Substances Data bank

Materials and methods

Test guideline
equivalent or similar to guideline
OECD Guideline 203 (Fish, Acute Toxicity Test)
GLP compliance:
not specified

Test material

Constituent 1
Reference substance name:
Ascorbic acid
EC Number:
EC Name:
Ascorbic acid
Cas Number:
5-(1,2-dihydroxyethyl)-3,4-dihydroxyfuran-2(5H)-one (non-preferred name)

Test organisms

Test organisms (species):
Oncorhynchus mykiss (previous name: Salmo gairdneri)

Study design

Test type:
not specified
Water media type:
not specified

Test conditions

Natural and PH 7.5

Results and discussion

Effect concentrations
96 h
Dose descriptor:
Effect conc.:
> 1 000 mg/L
Details on results:
validity of model:1.defined endpoint: acute toxicity to fish (lethality)
2.unambigous algonthm: linead regression QSAR: Log Toxicity (mmol/L) = -0.8981(log Kow) + 1.7108
3. applicability domain: 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. However, the domain of the model is considered to be larger than the descriptor range of the training set of chemicals. As discussed in previous sections it has been determined through empirical data that for acute toxicity endpoints, chemicals with a log Kow value >5.0 are generally expected to have no effects at saturation
4.statistical characteristic: the parameter for ester is unknown
5.mechanistic interpretation: The QSARs in ECOSAR for both neutral organics and classes with excess toxicity are based on a linear mathematical relationship between the predicted 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. The studies collected for the training set chemicals in ECOSAR undergo an extensive data validation step to ensure appropriateness for inclusion in the model.
The QSAR for neutral organics is based on the assumption that all chemicals have a minimal toxicity based on the interference of the chemical with biological membranes, which can be modelled by the octanol-water partition coefficient (Kow). All other chemical classes show excess toxicity compared to the neutral organics. The chemical classes are empirically derived. Nevertheless, a mechanistic basis is often apparent, e.g. reactive chemicals will be more toxic than neutral organics

Applicant's summary and conclusion