Registration Dossier
Registration Dossier
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EC number: 500-047-1 | CAS number: 26316-40-5 1 - 4.8 moles ethoxylated and 1 - 8.5 moles propoxylated
Endpoint summary
Administrative data
Description of key information
Additional information
The 96 hr EC50 were reported as >100 mg/l and as 25'600 mg/l in freshwater fish.
The 48 hr EC50 to Daphnia magna were reported as >100 mg/l and as 103 mg/l.
The 21d-NOEC in a OECD 211 guideline study (long term toxicity to Daphnia magna) is ≥ 10 mg/l (nominal) for all endpoints.
Algae: Effect concentration based on growth rateof the structurally related substance Ethylenediamine, propoxylated (NLP#3, CAS 25214-63-5) at 72 h were: EC50=150.67, LOEC:=8.76 and NOEC: 4.25 mg/l. Analytical verification ranged from 76.9 to 130% and from 60.7 to 94% of nominal values, at 0 and 72 hours, respectively.
72 hr EC50 growth rate (Desmodesmus subspicatus) > 100 mgl/l. (No effects were observed)
72 hr NOEC growth rate (Desmodesmus subspicatus) ≥ 100 mg/l.
3 hr EC50 (activated sludge): > 10,000 mg/l. No effects were observed.
3 hr NOEC (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
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