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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

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Administrative data

Endpoint:
skin sensitisation, other
Remarks:
(Q)SAR
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:
SOFTWARE
QSAR DYES R&C
Report produced by version QSAR dyes R&C 2.0
Developed by Milano Chemometrics and QSAR Research Group, Dept. Earth and Environmental
Sciences, University Milano-Bicocca, Italy.
Details about the tool are included into the attachment.

Data source

Reference
Reference Type:
other: (Q)SAR report
Title:
Unnamed
Year:
2016

Materials and methods

Principles of method if other than guideline:
QSAR Prediction. Details on the QSAR model used are reported in the attachment (i.e. (Q)SAR model reporting (QMRF)).
GLP compliance:
no

Test material

Constituent 1
Reference substance name:
Acid Red 174 (a)
IUPAC Name:
Acid Red 174 (a)

Results and discussion

In vitro / in chemico

Results
Parameter:
other: (Q)SAR prediction
Remarks on result:
positive indication of skin sensitisation

Applicant's summary and conclusion

Interpretation of results:
other: Not classified according to the CLP Regulation (EC 1272/2008)
Conclusions:
The substace is expected to be not sensitizing, on basis of the prediction.
Executive summary:

The skin sensitization potential of the substance was investigated using a specific QSAR model, developed to predict the skin sensitization potential for dyes. The existing QSAR models have strong limitations to predict ionic complex structures as the organic dyes are, and consequently they provide unreliable results. The QSAR modelling was developed in accordance with the OECD principles (details in the documentation attached).

Based on the estimation, the substance is expected to be not sensitizing. The estimation resulted to be in the applicability domain of the model.