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Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting
Attenuated total reflectance (ATR) infrared absorbance spectroscopy of proteins in aqueous solution is much easier to perform than transmission spectroscopy, where short path‐length cells need to be assembled reproducibly. However, the shape of the resulting ATR infrared spectrum varies with the ref...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099411/ http://dx.doi.org/10.1002/chir.23002 |
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author | Corujo, Marco Pinto Sklepari, Meropi Ang, Dale L. Millichip, Mark Reason, Andrew Goodchild, Sophia C. Wormell, Paul Amarasinghe, Don Praveen Lindo, Viv Chmel, Nikola P. Rodger, Alison |
author_facet | Corujo, Marco Pinto Sklepari, Meropi Ang, Dale L. Millichip, Mark Reason, Andrew Goodchild, Sophia C. Wormell, Paul Amarasinghe, Don Praveen Lindo, Viv Chmel, Nikola P. Rodger, Alison |
author_sort | Corujo, Marco Pinto |
collection | PubMed |
description | Attenuated total reflectance (ATR) infrared absorbance spectroscopy of proteins in aqueous solution is much easier to perform than transmission spectroscopy, where short path‐length cells need to be assembled reproducibly. However, the shape of the resulting ATR infrared spectrum varies with the refractive index of the sample and the instrument configuration. Refractive index in turn depends on the absorbance of the sample. In this work, it is shown that a room temperature triglycine sulfate detector and a ZnSe ATR unit can be used to collect reproducible spectra of proteins. A simple method for transforming the protein ATR spectrum into the shape of the transmission spectrum is also given, which proceeds by approximating a Kramers‐Krönig–determined refractive index of water as a sum of four linear components across the amide I and II regions. The light intensity at the crystal surface (with 45° incidence) and its rate of decay away from the surface is determined as a function of the wave number–dependent refractive index as well as the decay of the evanescent wave from the surface. The result is a single correction factor at each wave number. The spectra were normalized to a maximum of 1 between 1600 cm(−1) and 1700 cm(−1) and a self‐organizing map secondary structure fitting algorithm, SOMSpec, applied using the BioTools reference set. The resulting secondary structure estimates are encouraging for the future of ATR spectroscopy for biopharmaceutical characterization and quality control applications. |
format | Online Article Text |
id | pubmed-6099411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60994112018-08-24 Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting Corujo, Marco Pinto Sklepari, Meropi Ang, Dale L. Millichip, Mark Reason, Andrew Goodchild, Sophia C. Wormell, Paul Amarasinghe, Don Praveen Lindo, Viv Chmel, Nikola P. Rodger, Alison Chirality Special Issue: Proceedings 16th International Conference on Chiroptical Spectroscopy, Rennes France 2017 Attenuated total reflectance (ATR) infrared absorbance spectroscopy of proteins in aqueous solution is much easier to perform than transmission spectroscopy, where short path‐length cells need to be assembled reproducibly. However, the shape of the resulting ATR infrared spectrum varies with the refractive index of the sample and the instrument configuration. Refractive index in turn depends on the absorbance of the sample. In this work, it is shown that a room temperature triglycine sulfate detector and a ZnSe ATR unit can be used to collect reproducible spectra of proteins. A simple method for transforming the protein ATR spectrum into the shape of the transmission spectrum is also given, which proceeds by approximating a Kramers‐Krönig–determined refractive index of water as a sum of four linear components across the amide I and II regions. The light intensity at the crystal surface (with 45° incidence) and its rate of decay away from the surface is determined as a function of the wave number–dependent refractive index as well as the decay of the evanescent wave from the surface. The result is a single correction factor at each wave number. The spectra were normalized to a maximum of 1 between 1600 cm(−1) and 1700 cm(−1) and a self‐organizing map secondary structure fitting algorithm, SOMSpec, applied using the BioTools reference set. The resulting secondary structure estimates are encouraging for the future of ATR spectroscopy for biopharmaceutical characterization and quality control applications. John Wiley and Sons Inc. 2018-07-20 2018-08 /pmc/articles/PMC6099411/ http://dx.doi.org/10.1002/chir.23002 Text en © 2018 The Authors. Chirality Published by Wiley Periodicals, Inc. This is an open access article under the terms of the 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 | Special Issue: Proceedings 16th International Conference on Chiroptical Spectroscopy, Rennes France 2017 Corujo, Marco Pinto Sklepari, Meropi Ang, Dale L. Millichip, Mark Reason, Andrew Goodchild, Sophia C. Wormell, Paul Amarasinghe, Don Praveen Lindo, Viv Chmel, Nikola P. Rodger, Alison Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title | Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title_full | Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title_fullStr | Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title_full_unstemmed | Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title_short | Infrared absorbance spectroscopy of aqueous proteins: Comparison of transmission and ATR data collection and analysis for secondary structure fitting |
title_sort | infrared absorbance spectroscopy of aqueous proteins: comparison of transmission and atr data collection and analysis for secondary structure fitting |
topic | Special Issue: Proceedings 16th International Conference on Chiroptical Spectroscopy, Rennes France 2017 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6099411/ http://dx.doi.org/10.1002/chir.23002 |
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