Autor: |
Sumana, Narayana, Line, Christensen, Thomas, Skov, Frans, van den Berg |
Rok vydání: |
2019 |
Předmět: |
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Zdroj: |
Applied spectroscopy. 73(9) |
ISSN: |
1943-3530 |
Popis: |
The ever-growing competition among global biotech industries has led to high demands on production consistency. A statistical strategy of performance mapping for production optimization is therefore of great economic significance. Process analytical technology (PAT)-based sensors such as mid-infrared (MIR) spectroscopy enable process monitoring through substrate and by-product concentrations that directly represent the physiology of cells. Combined with multivariate statistics, MIR can be employed as a strategy for production performance mapping. This study describes the use of at-line spectroscopy, chemometric modeling, and post-process fitting to characterize |
Databáze: |
OpenAIRE |
Externí odkaz: |
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