Encoder–decoder neural networks for predicting future <scp>FTIR</scp> spectra – application to enzymatic protein hydrolysis-Reference-Cited by-同舟云学术

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Encoder–decoder neural networks for predicting future FTIR spectra – application to enzymatic protein hydrolysis

Published:2022-06-22 Issue:9 Volume:15 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Kuchta Miroslav¹^ORCID,Wubshet Sileshi Gizachew²^ORCID,Afseth Nils Kristian²,Mardal Kent‐André¹³^ORCID,Liland Kristian Hovde⁴^ORCID

Affiliation:

1. Department of Scientific Computing and Numerical Analysis Simula Research Laboratory Oslo Norway

2. Nofima ‐ Norwegian Institute of Food Fisheries and Aquaculture Research Ås Norway

3. Department of Mathematics University of Oslo Oslo Norway

4. Department of Science and Technology Norwegian University of Life Sciences Ås Norway

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202200097

Reference34 articles.

1. T.Aspevik Å.Oterhals S. B.Rønning T.Altintzoglou S. G.Wubshet A.Gildberg N. K.Afseth R. D.Whitaker D.Lindberg Chemistry and chemical technologies in waste valorization 2017 123–150.

2. Hydrolysis of hemoglobin surveyed by infrared spectroscopy

3. Fourier-transform infrared spectroscopy for characterization of protein chain reductions in enzymatic reactions

4. FTIR-based hierarchical modeling for prediction of average molecular weights of protein hydrolysates

5. Fourier-transform infrared spectroscopy for monitoring proteolytic reactions using dry-films treated with trifluoroacetic acid

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1. The role of biospectroscopy and chemometrics as enabling technologies for upcycling of raw materials from the food industry;Analytica Chimica Acta;2023-12

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