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

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Autoren

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

Organisationseinheiten

Externe Organisationen

  • Chonnam National University
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Details

OriginalspracheEnglisch
Seiten (von - bis)135-144
Seitenumfang10
FachzeitschriftBiochemical engineering journal
Jahrgang22
Ausgabenummer2
Frühes Online-Datum20 Okt. 2004
PublikationsstatusElektronisch veröffentlicht (E-Pub) - 20 Okt. 2004

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.

ASJC Scopus Sachgebiete

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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, Jahrgang 22, Nr. 2, 20.10.2004, S. 135-144.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Rhee, JI, Lee, KI, Kim, CK, Yim, YS, Chung, SW, Wei, J & Bellgardt, KH 2004, 'Classification of two-dimensional fluorescence spectra using self-organizing maps', Biochemical engineering journal, Jg. 22, Nr. 2, S. 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. (2004). Classification of two-dimensional fluorescence spectra using self-organizing maps. Biochemical engineering journal, 22(2), 135-144. Vorabveröffentlichung online. 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. 2004 Okt 20;22(2):135-144. Epub 2004 Okt 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. 2004 ; Jahrgang 22, Nr. 2. S. 135-144.
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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.",
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T1 - Classification of two-dimensional fluorescence spectra using self-organizing maps

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

N1 - Funding Information: This work was supported by Grant No. R01-2002-000-00027-0 from the Basic Research Program of the Korea Science & Engineering Foundation (KOSEF).

PY - 2004/10/20

Y1 - 2004/10/20

N2 - 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.

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.

KW - 2D spectrofluorometer

KW - Bioprocess monitoring

KW - Fermentation

KW - Self-organizing map

KW - Sensors

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