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Application of principal component analysis and self-organizing map to the analysis of 2D fluorescence spectra and the monitoring of fermentation processes

✍ Scribed by Jong Il Rhee; Tae-Hyoung Kang; Kum-Il Lee; Ok-Jae Sohn; Sun-Yong Kim; Sang-Wook Chung

Publisher
The Korean Society for Biotechnology and Bioengineering
Year
2006
Tongue
English
Weight
479 KB
Volume
11
Category
Article
ISSN
1226-8372

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## Abstract A two‐dimensional (2D) spectrofluorometer was used to monitor various fermentation processes with recombinant __E coli__ for the production of 5‐aminolevulinic acid (ALA). The whole fluorescence spectral data obtained during a process were analyzed using artificial neural networks, ie s