Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata
| العنوان: | Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata |
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| المؤلفون: | Anne Kahru, Maikki Moosus, Villem Aruoja, Mariliis Sihtmäe, Uko Maran |
| المصدر: | Chemosphere. 96:23-32 |
| بيانات النشر: | Elsevier BV, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Narcotics, Quantitative structure–activity relationship, Environmental Engineering, Narcotic, Health, Toxicology and Mutagenesis, medicine.medical_treatment, Quantitative Structure-Activity Relationship, 010501 environmental sciences, 010402 general chemistry, 01 natural sciences, Baseline toxicity, Phenols, Chlorophyta, Computational chemistry, Molecular descriptor, Toxicity Tests, medicine, Environmental Chemistry, 0105 earth and related environmental sciences, Aniline Compounds, Chemistry, Public Health, Environmental and Occupational Health, General Medicine, General Chemistry, Pollution, 0104 chemical sciences, Models, Chemical, Environmental chemistry, Molecular stability, Polar, Non polar, Hydrophobic and Hydrophilic Interactions, Applicability domain |
| الوصف: | In this paper a set of homogenous experimental algal toxicity data was measured for 50 non-polar narcotic chemicals using the alga Pseudokirchneriella subcapitata in a closed test with a growth rate endpoint. Most of the tested compounds are high volume industrial chemicals that so far lacked published REACH-compliant algal growth inhibition values. The test protocol fulfilled the criteria set forth in the OECD guideline 201 and had the same sensitivity as the open test which allowed direct comparison of toxicity values. Baseline QSAR model for non-polar narcotic compounds was established and compared with previous analogous models. Multi-linear QSAR model was derived for the non-polar and 58 previously tested polar (anilines and phenols) narcotic compounds modulating hydrophobicity, molecular size, electronic and molecular stability effects coded in the molecular descriptors. Descriptors in the model were analyzed and applicability domain was assessed providing further guidelines for the in silico prediction purposes in decision support while performing risk assessment. QSAR models in the manuscript are available on-line through QsarDB repository for exploring and prediction services (http://hdl.handle.net/10967/106). |
| تدمد: | 0045-6535 |
| DOI: | 10.1016/j.chemosphere.2013.06.088 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99cc6358d3259af111e672be48b5b32c https://doi.org/10.1016/j.chemosphere.2013.06.088 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....99cc6358d3259af111e672be48b5b32c |
| قاعدة البيانات: | OpenAIRE |
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