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Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves
Freeze-drying can be used to ensure off-the-shelf availability of decellularized heart valves for cardiovascular surgery. In this study, decellularized porcine aortic heart valves were analyzed by nitroblue tetrazolium (NBT) staining and Fourier transform infrared spectroscopy (FTIR) to identify oxi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192956/ https://www.ncbi.nlm.nih.gov/pubmed/34112893 http://dx.doi.org/10.1038/s41598-021-91802-2 |
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author | Liu, Dejia Caliskan, Sükrü Rashidfarokhi, Bita Oldenhof, Harriëtte Jung, Klaus Sieme, Harald Hilfiker, Andres Wolkers, Willem F. |
author_facet | Liu, Dejia Caliskan, Sükrü Rashidfarokhi, Bita Oldenhof, Harriëtte Jung, Klaus Sieme, Harald Hilfiker, Andres Wolkers, Willem F. |
author_sort | Liu, Dejia |
collection | PubMed |
description | Freeze-drying can be used to ensure off-the-shelf availability of decellularized heart valves for cardiovascular surgery. In this study, decellularized porcine aortic heart valves were analyzed by nitroblue tetrazolium (NBT) staining and Fourier transform infrared spectroscopy (FTIR) to identify oxidative damage during freeze-drying and subsequent storage as well as after treatment with H(2)O(2) and FeCl(3). NBT staining revealed that sucrose at a concentration of at least 40% (w/v) is needed to prevent oxidative damage during freeze-drying. Dried specimens that were stored at 4 °C depict little to no oxidative damage during storage for up to 2 months. FTIR analysis shows that fresh control, freeze-dried and stored heart valve specimens cannot be distinguished from one another, whereas H(2)O(2)- and FeCl(3)-treated samples could be distinguished in some tissue section. A feed forward artificial neural network model could accurately classify H(2)O(2) and FeCl(3) treated samples. However, fresh control, freeze-dried and stored samples could not be distinguished from one another, which implies that these groups are very similar in terms of their biomolecular fingerprints. Taken together, we conclude that sucrose can minimize oxidative damage caused by freeze-drying, and that subsequent dried storage has little effects on the overall biochemical composition of heart valve scaffolds. |
format | Online Article Text |
id | pubmed-8192956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81929562021-06-14 Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves Liu, Dejia Caliskan, Sükrü Rashidfarokhi, Bita Oldenhof, Harriëtte Jung, Klaus Sieme, Harald Hilfiker, Andres Wolkers, Willem F. Sci Rep Article Freeze-drying can be used to ensure off-the-shelf availability of decellularized heart valves for cardiovascular surgery. In this study, decellularized porcine aortic heart valves were analyzed by nitroblue tetrazolium (NBT) staining and Fourier transform infrared spectroscopy (FTIR) to identify oxidative damage during freeze-drying and subsequent storage as well as after treatment with H(2)O(2) and FeCl(3). NBT staining revealed that sucrose at a concentration of at least 40% (w/v) is needed to prevent oxidative damage during freeze-drying. Dried specimens that were stored at 4 °C depict little to no oxidative damage during storage for up to 2 months. FTIR analysis shows that fresh control, freeze-dried and stored heart valve specimens cannot be distinguished from one another, whereas H(2)O(2)- and FeCl(3)-treated samples could be distinguished in some tissue section. A feed forward artificial neural network model could accurately classify H(2)O(2) and FeCl(3) treated samples. However, fresh control, freeze-dried and stored samples could not be distinguished from one another, which implies that these groups are very similar in terms of their biomolecular fingerprints. Taken together, we conclude that sucrose can minimize oxidative damage caused by freeze-drying, and that subsequent dried storage has little effects on the overall biochemical composition of heart valve scaffolds. Nature Publishing Group UK 2021-06-10 /pmc/articles/PMC8192956/ /pubmed/34112893 http://dx.doi.org/10.1038/s41598-021-91802-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Liu, Dejia Caliskan, Sükrü Rashidfarokhi, Bita Oldenhof, Harriëtte Jung, Klaus Sieme, Harald Hilfiker, Andres Wolkers, Willem F. Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title | Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title_full | Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title_fullStr | Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title_full_unstemmed | Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title_short | Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
title_sort | fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192956/ https://www.ncbi.nlm.nih.gov/pubmed/34112893 http://dx.doi.org/10.1038/s41598-021-91802-2 |
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