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Please be aware that this old REACH registration data factsheet is no longer maintained; it remains frozen as of 19th May 2023.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

Ecotoxicological information

Endpoint summary

Administrative data

Description of key information

Additional information

96 hr LC50 (Pimephales promelas) 27'200 mg/l (Test material with average molec. weight: 720 g/mol)

96 hr LC50 (Danio rerio) 6'310 mg/l (Test material with average molec. weight: 440 g/mol)

48 hr EC50 (Daphnia magna)= 9'890 mg/L

The 21d-NOEC (Daphnia magna) of the structurally related analogue D-Glucitol (Sorbitol), propoxylated (CAS 52625-13-5) in aOECD 211 guideline study is 10 mg/l (nominal) for all endpoints.

72 hr EC50 (Desmodesmus subspicatus): > 100 mg/l. No effects were observed.

72 hr NOEC (Desmodesmus subspicatus): ≥ 100 mg/l.

3 hr EC50 respiration inhibition (activated sludge) > 10'000 mg/L.

3 hr NOEC respiration inhibition (activated sludge) ≥ 10'000 mg/L.

Read-across statement

No-Longer-Polymer (NLP) polyether polyols are produced by the reaction of various starter molecules with propylene oxide and/or ethylene oxide. These substances exhibit a remarkable uniformity in the physical/chemical properties which influence their fate and distribution in the environment. All NLP polyols have a full acute aquatic ecotoxicity dataset and do not exhibit acute toxicity below 100 mg/L. However, differentiation in chronic invertebrate toxicity is apparent and is based on the alcohol- or amino- starter molecules used to prepare these NLP polyols. A sub-grouping based on (i) aliphatic alcohol and amine NLP polyols, (ii) EDA- (ethylenediamine) based amino NLP polyols and (iii) o-TDA- (ortho-diaminotoluene) based aromatic NLP polyols is justified (ISOPA, 2010) and toxicity is expected to be similar between substances within each of these categories. It is considered appropriate to use ‘read-across’ of data of structural analogues within each sub-grouping to fill data gaps for chronic invertebrate toxicity and derive PNECs for endpoints based on these sub-groupings.