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Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool
Green chemistry places an emphasis on safer chemicals, waste reduction, and efficiency. Processes should be optimized with green chemistry at the forefront of decision making, embedded into research at the earliest stage. To assist in this endeavor, we present a spreadsheet that can be used to inter...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738638/ https://www.ncbi.nlm.nih.gov/pubmed/36500523 http://dx.doi.org/10.3390/molecules27238427 |
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author | Day, Daniel M. Farmer, Thomas J. Granelli, Joe Lofthouse, Janice H. Lynch, Julie McElroy, Con R. Sherwood, James Shimizu, Seishi Clark, James H. |
author_facet | Day, Daniel M. Farmer, Thomas J. Granelli, Joe Lofthouse, Janice H. Lynch, Julie McElroy, Con R. Sherwood, James Shimizu, Seishi Clark, James H. |
author_sort | Day, Daniel M. |
collection | PubMed |
description | Green chemistry places an emphasis on safer chemicals, waste reduction, and efficiency. Processes should be optimized with green chemistry at the forefront of decision making, embedded into research at the earliest stage. To assist in this endeavor, we present a spreadsheet that can be used to interpret reaction kinetics via Variable Time Normalization Analysis (VTNA), understand solvent effects with linear solvation energy relationships (LSER), and calculate solvent greenness. With this information, new reaction conditions can be explored in silico, calculating product conversions and green chemistry metrics prior to experiments. The application of this tool was validated with literature case studies. Reaction performance was predicted and then confirmed experimentally for examples of aza-Michael addition, Michael addition, and an amidation. The combined analytical package presented herein permits a thorough examination of chemical reactions, so that the variables that control reaction chemistry can be understood, optimized, and made greener for research and education purposes. |
format | Online Article Text |
id | pubmed-9738638 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97386382022-12-11 Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool Day, Daniel M. Farmer, Thomas J. Granelli, Joe Lofthouse, Janice H. Lynch, Julie McElroy, Con R. Sherwood, James Shimizu, Seishi Clark, James H. Molecules Article Green chemistry places an emphasis on safer chemicals, waste reduction, and efficiency. Processes should be optimized with green chemistry at the forefront of decision making, embedded into research at the earliest stage. To assist in this endeavor, we present a spreadsheet that can be used to interpret reaction kinetics via Variable Time Normalization Analysis (VTNA), understand solvent effects with linear solvation energy relationships (LSER), and calculate solvent greenness. With this information, new reaction conditions can be explored in silico, calculating product conversions and green chemistry metrics prior to experiments. The application of this tool was validated with literature case studies. Reaction performance was predicted and then confirmed experimentally for examples of aza-Michael addition, Michael addition, and an amidation. The combined analytical package presented herein permits a thorough examination of chemical reactions, so that the variables that control reaction chemistry can be understood, optimized, and made greener for research and education purposes. MDPI 2022-12-02 /pmc/articles/PMC9738638/ /pubmed/36500523 http://dx.doi.org/10.3390/molecules27238427 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Day, Daniel M. Farmer, Thomas J. Granelli, Joe Lofthouse, Janice H. Lynch, Julie McElroy, Con R. Sherwood, James Shimizu, Seishi Clark, James H. Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title | Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title_full | Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title_fullStr | Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title_full_unstemmed | Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title_short | Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool |
title_sort | reaction optimization for greener chemistry with a comprehensive spreadsheet tool |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738638/ https://www.ncbi.nlm.nih.gov/pubmed/36500523 http://dx.doi.org/10.3390/molecules27238427 |
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