A parallel hybrid model for integrating protein adsorption models with deep neural networks-Reference-Cited by-同舟云学术

A parallel hybrid model for integrating protein adsorption models with deep neural networks

Published:2023-11-06 Issue: Volume: Page:
ISSN:0929-5607
Container-title:Adsorption
language:en
Short-container-title:Adsorption

Author:

de Souza Gama Marlon,Lima Fernando Arrais Romero Dias,Santana Vinícius Viena,dos Reis Nogueira Idelfonso Bessa,Tavares Frederico Wanderley,Barreto Júnior Amaro Gomes

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Surfaces and Interfaces,General Chemical Engineering,General Chemistry

Link

https://link.springer.com/content/pdf/10.1007/s10450-023-00415-w.pdf

Reference57 articles.

1. Akhgar, C.K., Ebner, J., Spadiut, O., Schwaighofer, A., Lendl, B.: QCL-IR spectroscopy for in-line monitoring of proteins from preparative ion-exchange chromatography. Anal. Chem. 94(14), 5583–5590 (2022). https://doi.org/10.1021/acs.analchem.1c05191

2. He, Q.L., von Lieres, E., Sun, Z., Zhao, L.: Model-based process design of a ternary protein separation using multi-step gradient ion-exchange SMB chromatography. Comput. Chem. Eng. 138, 106851 (2020). https://doi.org/10.1016/j.compchemeng.2020.106851

3. Leblanc, Y., Chapuis, V., Faid, V., Seifert, A.: Characterization of antithrombin isoforms and latent forms by ion exchange chromatography coupled to mass spectrometry. Anal. Biochem. 668, 115088 (2023). https://doi.org/10.1016/j.ab.2023.115088

4. Moreno-González, M., Chuekitkumchorn, P., Silva, M., Groenewoud, R., Ottens, M.: High throughput process development for the purification of rapeseed proteins napin and cruciferin by ion exchange chromatography. Food Bioprod. Process. 125, 228–241 (2021). https://doi.org/10.1016/j.fbp.2020.11.011

5. Santana, V.V., Gama, M.S., Loureiro, J.M., Rodrigues, A.E., Ribeiro, A.M., Tavares, F.W., Barreto, A.G., Nogueira, I.B.R.: A first approach towards adsorption-oriented physics-informed neural networks: monoclonal antibody adsorption performance on an ion-exchange column as a case study. ChemEngineering (2022). https://doi.org/10.3390/chemengineering6020021