Journal
BIOCHEMICAL ENGINEERING JOURNAL
Volume 22, Issue 2, Pages 135-144Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.bej.2004.09.008
Keywords
bioprocess monitoring; fermentation; self-organizing map; sensors; 2D spectrofluorometer
Ask authors/readers for more resources
A two-dimensional (2D) spectrofluorometer is often used to monitor various fermentation processes. The change in fluorescence intensities resulting from various combinations of excitation and emission wavelengths is investigated by using a spectra subtraction technique. But it has a limited capacity to classify the entire fluorescence spectra gathered during fermentations and to extract some useful information from the data. This study shows that the self-organizing map (SOM) is a useful and interpretative method for classification of the entire gamut of fluorescence spectral data and selection of some combinations of excitation and emission wavelengths, which have useful fluorometric information. Some results such as normalized weights and variances indicate that the SOM network is capable of interpreting the fermentation processes of S. cerevisiae and recombinant Escherichia coli monitored by a 2D spectrofluorometer. (C) 2004 Elsevier B.V. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available