Toxicity: 77 Must-Know Predictions of Organic Compounds: Including Ionic Liquids
Due to the advances of various methods for the prediction of toxicity of organic compounds and ionic liquids (ILs), it is necessary to review these methods for scientists and students. It is essential to compare the advantages and shortcomings of these methods. Since many organic compounds and ILs a...
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Format: | Elektronisch E-Book |
Sprache: | English |
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Berlin ; Boston
De Gruyter
[2023]
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Schriftenreihe: | De Gruyter Textbook
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Schlagworte: | |
Online-Zugang: | DE-1046 DE-1043 DE-858 DE-Aug4 DE-859 DE-860 DE-739 Volltext |
Zusammenfassung: | Due to the advances of various methods for the prediction of toxicity of organic compounds and ionic liquids (ILs), it is necessary to review these methods for scientists and students. It is essential to compare the advantages and shortcomings of these methods. Since many organic compounds and ILs are synthesized each year, this book introduces suitable models for the assessment of their toxicities. This book reviews the best predictive methods for the prediction of toxicity of organic compounds and ILs, which were derived by in vitro or in vivo experiments. Different available quantitative structure‐toxicity relationship (QSTR) models based on various descriptors have been discussed to predict toxicity parameters such as LD50 (50% lethal dose), EC50 (the concentration of the desired IL that produces mortality of 50 percent of the bacterial population) and log(IGC50-1) (logarithm of 50% growth inhibitory concentration of T. pyriformis) of various classes of organic compounds and ILs. The reliability of these methods is compared and discussed. Each chapter contains some complimentary problems with their answers, which can improve the experience of students and researchers. The introduced subjects are suitable for advanced students in chemistry, biochemistry, medicinal chemistry, and chemical engineering |
Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
Beschreibung: | 1 Online-Ressource (IX, 199 pages) |
ISBN: | 9783111189673 |
DOI: | 10.1515/9783111189673 |
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Datensatz im Suchindex
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author | Keshavarz, Mohammad Hossein |
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discipline | Chemie / Pharmazie |
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doi_str_mv | 10.1515/9783111189673 |
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illustrated | Not Illustrated |
index_date | 2024-07-03T23:16:17Z |
indexdate | 2025-01-10T17:13:58Z |
institution | BVB |
isbn | 9783111189673 |
language | English |
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physical | 1 Online-Ressource (IX, 199 pages) |
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spelling | Keshavarz, Mohammad Hossein Verfasser aut Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids Mohammad Hossein Keshavarz Berlin ; Boston De Gruyter [2023] © 2023 1 Online-Ressource (IX, 199 pages) txt rdacontent c rdamedia cr rdacarrier De Gruyter Textbook Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) Due to the advances of various methods for the prediction of toxicity of organic compounds and ionic liquids (ILs), it is necessary to review these methods for scientists and students. It is essential to compare the advantages and shortcomings of these methods. Since many organic compounds and ILs are synthesized each year, this book introduces suitable models for the assessment of their toxicities. This book reviews the best predictive methods for the prediction of toxicity of organic compounds and ILs, which were derived by in vitro or in vivo experiments. Different available quantitative structure‐toxicity relationship (QSTR) models based on various descriptors have been discussed to predict toxicity parameters such as LD50 (50% lethal dose), EC50 (the concentration of the desired IL that produces mortality of 50 percent of the bacterial population) and log(IGC50-1) (logarithm of 50% growth inhibitory concentration of T. pyriformis) of various classes of organic compounds and ILs. The reliability of these methods is compared and discussed. Each chapter contains some complimentary problems with their answers, which can improve the experience of students and researchers. The introduced subjects are suitable for advanced students in chemistry, biochemistry, medicinal chemistry, and chemical engineering In English Chemische Technik Organische Chemie Technische Chemie Toxikologie SCIENCE / Chemistry / Toxicology bisacsh Toxikologische Bewertung (DE-588)4303356-8 gnd rswk-swf Ionische Flüssigkeit (DE-588)7548899-1 gnd rswk-swf Organische Verbindungen (DE-588)4043816-8 gnd rswk-swf Organische Verbindungen (DE-588)4043816-8 s Ionische Flüssigkeit (DE-588)7548899-1 s Toxikologische Bewertung (DE-588)4303356-8 s DE-604 Erscheint auch als Druck-Ausgabe 9783111189123 https://doi.org/10.1515/9783111189673 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Keshavarz, Mohammad Hossein Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids Chemische Technik Organische Chemie Technische Chemie Toxikologie SCIENCE / Chemistry / Toxicology bisacsh Toxikologische Bewertung (DE-588)4303356-8 gnd Ionische Flüssigkeit (DE-588)7548899-1 gnd Organische Verbindungen (DE-588)4043816-8 gnd |
subject_GND | (DE-588)4303356-8 (DE-588)7548899-1 (DE-588)4043816-8 |
title | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids |
title_auth | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids |
title_exact_search | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids |
title_exact_search_txtP | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids |
title_full | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids Mohammad Hossein Keshavarz |
title_fullStr | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids Mohammad Hossein Keshavarz |
title_full_unstemmed | Toxicity: 77 Must-Know Predictions of Organic Compounds Including Ionic Liquids Mohammad Hossein Keshavarz |
title_short | Toxicity: 77 Must-Know Predictions of Organic Compounds |
title_sort | toxicity 77 must know predictions of organic compounds including ionic liquids |
title_sub | Including Ionic Liquids |
topic | Chemische Technik Organische Chemie Technische Chemie Toxikologie SCIENCE / Chemistry / Toxicology bisacsh Toxikologische Bewertung (DE-588)4303356-8 gnd Ionische Flüssigkeit (DE-588)7548899-1 gnd Organische Verbindungen (DE-588)4043816-8 gnd |
topic_facet | Chemische Technik Organische Chemie Technische Chemie Toxikologie SCIENCE / Chemistry / Toxicology Toxikologische Bewertung Ionische Flüssigkeit Organische Verbindungen |
url | https://doi.org/10.1515/9783111189673 |
work_keys_str_mv | AT keshavarzmohammadhossein toxicity77mustknowpredictionsoforganiccompoundsincludingionicliquids |