Synthesis, modeling and optimization of cyanide antidote (3-methylbutyl) nitrite using response surface methodology

Synthesis, modeling and optimization of cyanide antidote (3-methylbutyl) nitrite using response... In this research, synthesis of cyanide antidote (3-methylbutyl) nitrite has been designed and performed by response surface methodology. The antidote was prepared by the reaction of 3-methyl-1-butanol with sodium nitrite, which is the nitrosonium (NO+) source, in the presence of sulfonic acid-functionalized Fe3O4 (Fe3O4@SO3H) as a nanomagnetic solid acid catalyst and triethylammonium hydrogen sulfate as ionic liquid in aqueous media. Optimization of the reaction conditions was investigated using the response surface method (central composite design). In accordance with analysis of variance, a quadratic polynomial model was able to predict the response. Predicted response values by the obtained model was in good agreement with the experimental results. A clean reaction, easy workup procedure, reusability of the catalyst and a high yield are some advantages of this method. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Research on Chemical Intermediates Springer Journals

Synthesis, modeling and optimization of cyanide antidote (3-methylbutyl) nitrite using response surface methodology

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Publisher
Springer Netherlands
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Chemistry; Catalysis; Physical Chemistry; Inorganic Chemistry
ISSN
0922-6168
eISSN
1568-5675
D.O.I.
10.1007/s11164-015-2156-5
Publisher site
See Article on Publisher Site

Abstract

In this research, synthesis of cyanide antidote (3-methylbutyl) nitrite has been designed and performed by response surface methodology. The antidote was prepared by the reaction of 3-methyl-1-butanol with sodium nitrite, which is the nitrosonium (NO+) source, in the presence of sulfonic acid-functionalized Fe3O4 (Fe3O4@SO3H) as a nanomagnetic solid acid catalyst and triethylammonium hydrogen sulfate as ionic liquid in aqueous media. Optimization of the reaction conditions was investigated using the response surface method (central composite design). In accordance with analysis of variance, a quadratic polynomial model was able to predict the response. Predicted response values by the obtained model was in good agreement with the experimental results. A clean reaction, easy workup procedure, reusability of the catalyst and a high yield are some advantages of this method.

Journal

Research on Chemical IntermediatesSpringer Journals

Published: Jul 3, 2015

References

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