کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6309503 1618875 2014 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
پیش نمایش صفحه اول مقاله
Measurement of baseline toxicity and QSAR analysis of 50 non-polar and 58 polar narcotic chemicals for the alga Pseudokirchneriella subcapitata
چکیده انگلیسی


- REACH-relevant algal toxicity data were obtained for 50 nonpolar narcotic chemicals.
- Most of the tested compounds so far lacked published algal growth inhibition values.
- Toxicity of non-polar narcotic compounds correlated with hydrophobicity: R2 = 0.95.
- MLR QSAR model was derived for non-polar and polar narcotic compounds: R2 = 0.92.
- The Verhaar classification of non-polar narcotics appears to apply for algae.

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).

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Chemosphere - Volume 96, February 2014, Pages 23-32
نویسندگان
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