Digital Library of Zielona Góra contains 9 272 digital objects
Object
Title: Neural network signal interpretation for optimization of chromatographic protein purifications
Contributor:
Skliar, Mikhail - red. ; Ramirez, W. Fred - red.
Subtitle:
Data Processing and Process Control
Group publication title:
Abstract:
Mobile phase pH and salt gradient steepness are optimized for the separation of protein mixtures using gradient elution ion-exchange chromatography. The optimization method utilizes a factorial experimental design to generate an experimental matrix. The resulting chromatographic peaks are classified into six distinct classes based on peak geometry by a vector quantizing neural network (VQN). ; A modified chromatographic optimization function (COF), which accounts for the neural net classification as well as peak separation and total analysis time, is used to rank chromatograms in order of desirability. Results of the COF analysis are fit to a second order polynomial model, which is optimized in the experimental parameters using an advanced simplex algorithm.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
Pages:
Source:
AMCS, volume 8, number 4 (1998) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1998)
Last modified:
Jul 14, 2025
In our library since:
Dec 22, 2020
Number of object content hits:
214
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/64679
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| Edition name | Date |
|---|---|
| Neural network signal interpretation for optimization of chromatographic protein purifications | Jul 14, 2025 |
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