Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves
Abstract 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 ide...
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doaj-c8342ed5b18f41329cfb21e52d1a66882021-06-13T11:39:15ZengNature Publishing GroupScientific Reports2045-23222021-06-0111111310.1038/s41598-021-91802-2Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valvesDejia Liu0Sükrü Caliskan1Bita Rashidfarokhi2Harriëtte Oldenhof3Klaus Jung4Harald Sieme5Andres Hilfiker6Willem F. Wolkers7Biostabilization Laboratory, Lower Saxony Centre for Biomedical Engineering, Implant Research and Development, University of Veterinary Medicine HannoverBiostabilization Laboratory, Lower Saxony Centre for Biomedical Engineering, Implant Research and Development, University of Veterinary Medicine HannoverBiostabilization Laboratory, Lower Saxony Centre for Biomedical Engineering, Implant Research and Development, University of Veterinary Medicine HannoverUnit for Reproductive Medicine, Clinic for Horses, University of Veterinary Medicine HannoverInstitute for Animal Breeding and Genetics, University of Veterinary Medicine HannoverUnit for Reproductive Medicine, Clinic for Horses, University of Veterinary Medicine HannoverLeibniz Research Laboratories for Biotechnology and Artificial Organs, Hannover Medical SchoolBiostabilization Laboratory, Lower Saxony Centre for Biomedical Engineering, Implant Research and Development, University of Veterinary Medicine HannoverAbstract 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 H2O2 and FeCl3. 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 H2O2- and FeCl3-treated samples could be distinguished in some tissue section. A feed forward artificial neural network model could accurately classify H2O2 and FeCl3 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.https://doi.org/10.1038/s41598-021-91802-2 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dejia Liu Sükrü Caliskan Bita Rashidfarokhi Harriëtte Oldenhof Klaus Jung Harald Sieme Andres Hilfiker Willem F. Wolkers |
spellingShingle |
Dejia Liu Sükrü Caliskan Bita Rashidfarokhi Harriëtte Oldenhof Klaus Jung Harald Sieme Andres Hilfiker Willem F. Wolkers Fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves Scientific Reports |
author_facet |
Dejia Liu Sükrü Caliskan Bita Rashidfarokhi Harriëtte Oldenhof Klaus Jung Harald Sieme Andres Hilfiker Willem F. Wolkers |
author_sort |
Dejia Liu |
title |
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_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_sort |
fourier transform infrared spectroscopy coupled with machine learning classification for identification of oxidative damage in freeze-dried heart valves |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-06-01 |
description |
Abstract 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 H2O2 and FeCl3. 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 H2O2- and FeCl3-treated samples could be distinguished in some tissue section. A feed forward artificial neural network model could accurately classify H2O2 and FeCl3 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. |
url |
https://doi.org/10.1038/s41598-021-91802-2 |
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