Registration Dossier
Registration Dossier
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EC number: 500-044-5 | CAS number: 25791-96-2 1 - 6.5 moles propoxylated
Endpoint summary
Administrative data
Description of key information
Additional information
Acute toxicity (96 hr) to fish has been investigated with a freshwater species (Leuciscus idus) according to the OECD 203 guideline at concentrations up to 1000 mg/l. The 96 hr LC50 was reported as >1000 mg/l.
Acute toxicity (48 hr) to aquatic invertebrates has been investigated with Daphnia magna following procedures similar to or according to the OECD 202 protocol at concentrations up to 100 mg/l based on the range finding study. The 48 hr EC50 were reported as >100 mg/l. The available data indicates low toxicity to aquatic invertebrates.
The 21d-NOEC to Daphnia magna with the structurally related substance D-Glucitol (Sorbitol), propoxylated (CAS# 52625-13-5) in a OECD 211 guideline study is ≥ 10 mg/l (nominal) for all endpoints.
72 hr EC50 growth rate (Desmodesmus subspicatus) >100 mg/l nominal.
No effects were observed up to the highest concentration tested (100 mg/l nominal concentration).
EC10 (3 hr activated sludge respiration inhibition) >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- (orthodiaminotoluene) 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.
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