Registration Dossier
Registration Dossier
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EC number: 500-110-3 | CAS number: 50586-59-9 1 - 6.5 moles ethoxylated
Endpoint summary
Administrative data
Description of key information
Additional information
Fish
For fish (Danio rerio) the acute toxicity of Propylidynetrimethanol, ethoxylated was >= 1000 mg/L (96 h-LC0). The study was conducted according to OECD 203. The result relates to nominal concentration (Toxicon AB, 2007).
Aquatic invertebrates
A study according to OECD 202 tested Daphnia magna STRAUS and gives an EC50 > 100000 mg/L that was obtained after 48 hours.The result relates to the nominal concentration (Toxicon AB, 2007).
The chronic toxicity of Propylidynetrimethanol, ethoxylated to aquatic invertebrates (Daphnia magna) was tested according to OECD 202. No toxic effects against D. magna was observed during 21 days exposure up to a concentration of 10 mg/L; NOEC >= 10 mg/L (Currenta, 2009).
Algae
In 72 h the effective concentration of Propylidynetrimethanol, ethoxylated, which reduces the growth rate of Scenedesmus subspicatus by 50 % (EC50) is > 1.000 mg/L in a test according OECD 201 (Toxicon AB, 1992).
STP
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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