Day, Dan, Farmer, Thomas James orcid.org/0000-0002-1039-7684, Granelli, Joe et al. (6 more authors) (2022) Reaction Optimization for Greener Chemistry with a Comprehensive Spreadsheet Tool. MOLECULES. 8427. ISSN 1420-3049
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 by the authors |
Keywords: | green chemistry,Green metrics,kinetics,Michael addition,solvents,Variable Time Normalization Analysis |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Chemistry (York) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION 887398 |
Depositing User: | Pure (York) |
Date Deposited: | 06 Dec 2022 14:30 |
Last Modified: | 18 Dec 2024 00:22 |
Published Version: | https://doi.org/10.3390/molecules27238427 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.3390/molecules27238427 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:194060 |