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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Toxicological information

Skin sensitisation

Currently viewing:

Administrative data

Endpoint:
skin sensitisation, other
Remarks:
QSAR: read-across performed with the OECD QSAR Toolbox
Type of information:
(Q)SAR
Adequacy of study:
weight of evidence
Study period:
2017-10-16
Reliability:
2 (reliable with restrictions)
Rationale for reliability incl. deficiencies:
results derived from a valid (Q)SAR model, but not (completely) falling into its applicability domain, with adequate and reliable documentation / justification
Justification for type of information:
Please refer to the attached QPRF report

Data source

Reference
Reference Type:
other: QSAR model
Title:
OECD QSAR Toolbox version 4.1
Author:
OECD
Year:
2008
Bibliographic source:
The Toolbox is a software for filling gaps in (eco)toxicity data. The Toolbox incorporates information and tools from various sources into a logical workflow. Crucial to this workflow is grouping chemicals into chemical categories.

Materials and methods

Test guideline
Qualifier:
according to guideline
Guideline:
other: REACH Guidance on QSARs R.6

Test material

Constituent 1
Chemical structure
Reference substance name:
6-amino-4-hydroxynaphthalene-2-sulphonic acid
EC Number:
202-000-8
EC Name:
6-amino-4-hydroxynaphthalene-2-sulphonic acid
Cas Number:
90-51-7
Molecular formula:
C10H9NO4S
IUPAC Name:
6-amino-4-hydroxynaphthalene-2-sulphonic acid

Results and discussion

In vitro / in chemico

Results
Parameter:
other: QSAR
Remarks on result:
positive indication of skin sensitisation

Any other information on results incl. tables

Gammasäure is predicted to be sensitising by the OECD QSAR Toolbox v4.1. This prediction does not fall into the applicability domain of this model, since the read-across is based only on one analogue substance.

Applicant's summary and conclusion

Interpretation of results:
other: data not sufficient for classification
Conclusions:
Gammasäure is predicted to be sensitising.
Executive summary:

Skin sensitisation of Gammasäure was predicted using the OECD QSAR Toolbox v4.1. The read-across analysis was performed with one analogue substance. The logKow was used as 'active descriptor'. The prediction is positive. Due to the fact that only one analogue was used for the prediction, it does not fall into the applicability domain of this model.