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Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy
For enzyme‐catalysed biotransformations, continuous in situ detection methods minimise the need for sample manipulation, ultimately leading to more accurate real‐time kinetic determinations of substrate(s) and product(s). We have established for the first time an on‐line, real‐time quantitative appr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488198/ https://www.ncbi.nlm.nih.gov/pubmed/28370547 http://dx.doi.org/10.1002/chem.201701388 |
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author | Westley, Chloe Fisk, Heidi Xu, Yun Hollywood, Katherine A. Carnell, Andrew J. Micklefield, Jason Turner, Nicholas J. Goodacre, Royston |
author_facet | Westley, Chloe Fisk, Heidi Xu, Yun Hollywood, Katherine A. Carnell, Andrew J. Micklefield, Jason Turner, Nicholas J. Goodacre, Royston |
author_sort | Westley, Chloe |
collection | PubMed |
description | For enzyme‐catalysed biotransformations, continuous in situ detection methods minimise the need for sample manipulation, ultimately leading to more accurate real‐time kinetic determinations of substrate(s) and product(s). We have established for the first time an on‐line, real‐time quantitative approach to monitor simultaneously multiple biotransformations based on UV resonance Raman (UVRR) spectroscopy. To exemplify the generality and versatility of this approach, multiple substrates and enzyme systems were used involving nitrile hydratase (NHase) and xanthine oxidase (XO), both of which are of industrial and biological significance, and incorporate multistep enzymatic conversions. Multivariate data analysis of the UVRR spectra, involving multivariate curve resolution‐alternating least squares (MCR‐ALS), was employed to effect absolute quantification of substrate(s) and product(s); repeated benchmarking of UVRR combined with MCR‐ALS by HPLC confirmed excellent reproducibility. |
format | Online Article Text |
id | pubmed-5488198 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54881982017-07-24 Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy Westley, Chloe Fisk, Heidi Xu, Yun Hollywood, Katherine A. Carnell, Andrew J. Micklefield, Jason Turner, Nicholas J. Goodacre, Royston Chemistry Communications For enzyme‐catalysed biotransformations, continuous in situ detection methods minimise the need for sample manipulation, ultimately leading to more accurate real‐time kinetic determinations of substrate(s) and product(s). We have established for the first time an on‐line, real‐time quantitative approach to monitor simultaneously multiple biotransformations based on UV resonance Raman (UVRR) spectroscopy. To exemplify the generality and versatility of this approach, multiple substrates and enzyme systems were used involving nitrile hydratase (NHase) and xanthine oxidase (XO), both of which are of industrial and biological significance, and incorporate multistep enzymatic conversions. Multivariate data analysis of the UVRR spectra, involving multivariate curve resolution‐alternating least squares (MCR‐ALS), was employed to effect absolute quantification of substrate(s) and product(s); repeated benchmarking of UVRR combined with MCR‐ALS by HPLC confirmed excellent reproducibility. John Wiley and Sons Inc. 2017-05-02 2017-05-23 /pmc/articles/PMC5488198/ /pubmed/28370547 http://dx.doi.org/10.1002/chem.201701388 Text en © 2017 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Communications Westley, Chloe Fisk, Heidi Xu, Yun Hollywood, Katherine A. Carnell, Andrew J. Micklefield, Jason Turner, Nicholas J. Goodacre, Royston Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title | Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title_full | Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title_fullStr | Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title_full_unstemmed | Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title_short | Real‐Time Monitoring of Enzyme‐Catalysed Reactions using Deep UV Resonance Raman Spectroscopy |
title_sort | real‐time monitoring of enzyme‐catalysed reactions using deep uv resonance raman spectroscopy |
topic | Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5488198/ https://www.ncbi.nlm.nih.gov/pubmed/28370547 http://dx.doi.org/10.1002/chem.201701388 |
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