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Toxicity: 77 Must-Know Predictions of Organic Compounds - Including Ionic Liquids Loot Price: R1,617
Discovery Miles 16 170
You Save: R400 (20%)
Toxicity: 77 Must-Know Predictions of Organic Compounds - Including Ionic Liquids: Mohammad Hossein Keshavarz

Toxicity: 77 Must-Know Predictions of Organic Compounds - Including Ionic Liquids

Mohammad Hossein Keshavarz

Series: De Gruyter Textbook

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List price R2,017 Loot Price R1,617 Discovery Miles 16 170 | Repayment Terms: R152 pm x 12* You Save R400 (20%)

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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 structureâ€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.

General

Imprint: De Gruyter
Country of origin: Germany
Series: De Gruyter Textbook
Release date: October 2023
First published: 2023
Authors: Mohammad Hossein Keshavarz
Dimensions: 240 x 170mm (L x W)
Pages: 260
ISBN-13: 978-3-11-118912-3
Categories: Books
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LSN: 3-11-118912-0
Barcode: 9783111189123

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