Mid-Infrared Spectroscopy and Multivariate Analysis to Characterize

Autor: Sumana, Narayana, Line, Christensen, Thomas, Skov, Frans, van den Berg
Rok vydání: 2019
Předmět:
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