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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

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Abstract

2D fluorescence sensors produce a great deal of spectral data during fermentation processes, which can be analyzed using a variety of statistical techniques. Principal component analysis (PCA) and a self-organizing map (SOM) were used to analyze these 2D fluorescence spectra and to extract useful information from them. PCA resulted in scores and loadings that were visualized in the score-loading plots and used to monitor various fermentation processes with recombinantEscherichia coli andSaccharomyces cerevisiae. The SOM was found to be a useful and interpretative method of classifying the entire gamut of 2D fluorescence spectra and of selecting some significant combinations of excitation and emission wavelengths. The results, including the normalized weights and variances, indicated that the SOM network is capable of being used to interpret the fermentation processes monitored by a 2D fluorescence sensor.

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Abbreviations

ALA:

5-Aminolevulinic acid

BMU:

Best matching unit

BPNN:

Backpropagation neural network

CWL:

Combinations of the excitation and emission wavelength

DCW:

Dry cell weight

DO:

Dissolved oxygen concentration (%)

E :

Residual matrix

EGFP:

Enhanced green fluorescent protein

FmPro:

Fermentation process

GSH:

Glutathione

IPTG:

Isopropylthiogalactoside

LA:

Levulinic acid

LB:

Luria bertini medium

NMR:

Nuclear magnetic resonance

P :

Loading matrix

PBG:

Porphobilinogen

PC:

Principal component

PCA:

Principal component analysis

Q :

Scores matrix

PLS:

Partial least square regression analysis

SM:

Chemically defined medium

SOM:

Self-organizing map

X:

Given spectral matrix

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Authors and Affiliations

  1. School of Applied Chemical Engineering, Chonnam National University, 500-757, Gwangju, Korea

    Jong Il Rhee

  2. Laboratory of BioProcess Technology, Chonnam National University, 500-757, Gwangju, Korea

    Jong Il Rhee, Ok-Jae Sohn & Sun-Yong Kim

  3. Department of Industrial Engineering, Chonnam National University, 500-757, Gwangju, Korea

    Tae-Hyoung Kang, Kum-Il Lee & Sang-Wook Chung

  4. Research Center for Biophotonics, Chonnam National University, 500-757, Gwangju, Korea

    Jong Il Rhee, Tae-Hyoung Kang, Kum-Il Lee, Ok-Jae Sohn, Sun-Yong Kim & Sang-Wook Chung

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  1. Jong Il Rhee
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  2. Tae-Hyoung Kang
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Rhee, J.I., Kang, TH., Lee, KI. et al. Application of principal component analysis and self-organizing map to the analysis of 2D fluorescence spectra and the monitoring of fermentation processes. Biotechnol. Bioprocess Eng. 11, 432–441 (2006). https://doi.org/10.1007/BF02932311

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  • DOI: https://doi.org/10.1007/BF02932311

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