Classification of two-dimensional fluorescence spectra using self-organizing maps

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Jong Il Rhee
  • Kum Il Lee
  • Chun Kwang Kim
  • Yong Sik Yim
  • Sang Wook Chung
  • Jiaqiu Wei
  • Karl Heinz Bellgardt

Research Organisations

External Research Organisations

  • Chonnam National University
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Details

Original languageEnglish
Pages (from-to)135-144
Number of pages10
JournalBiochemical engineering journal
Volume22
Issue number2
Early online date20 Oct 2004
Publication statusPublished - Jan 2005

Abstract

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.

Keywords

    2D spectrofluorometer, Bioprocess monitoring, Fermentation, Self-organizing map, Sensors

ASJC Scopus subject areas

Cite this

Classification of two-dimensional fluorescence spectra using self-organizing maps. / Rhee, Jong Il; Lee, Kum Il; Kim, Chun Kwang et al.
In: Biochemical engineering journal, Vol. 22, No. 2, 01.2005, p. 135-144.

Research output: Contribution to journalArticleResearchpeer review

Rhee, JI, Lee, KI, Kim, CK, Yim, YS, Chung, SW, Wei, J & Bellgardt, KH 2005, 'Classification of two-dimensional fluorescence spectra using self-organizing maps', Biochemical engineering journal, vol. 22, no. 2, pp. 135-144. https://doi.org/10.1016/j.bej.2004.09.008
Rhee, J. I., Lee, K. I., Kim, C. K., Yim, Y. S., Chung, S. W., Wei, J., & Bellgardt, K. H. (2005). Classification of two-dimensional fluorescence spectra using self-organizing maps. Biochemical engineering journal, 22(2), 135-144. https://doi.org/10.1016/j.bej.2004.09.008
Rhee JI, Lee KI, Kim CK, Yim YS, Chung SW, Wei J et al. Classification of two-dimensional fluorescence spectra using self-organizing maps. Biochemical engineering journal. 2005 Jan;22(2):135-144. Epub 2004 Oct 20. doi: 10.1016/j.bej.2004.09.008
Rhee, Jong Il ; Lee, Kum Il ; Kim, Chun Kwang et al. / Classification of two-dimensional fluorescence spectra using self-organizing maps. In: Biochemical engineering journal. 2005 ; Vol. 22, No. 2. pp. 135-144.
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AU - Rhee, Jong Il

AU - Lee, Kum Il

AU - Kim, Chun Kwang

AU - Yim, Yong Sik

AU - Chung, Sang Wook

AU - Wei, Jiaqiu

AU - Bellgardt, Karl Heinz

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AB - 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.

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KW - Bioprocess monitoring

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KW - Self-organizing map

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