On-line monitoring and chemometric modeling of S.cerevisiae fermentation processes with 2D spectrofluorometry

  • Authors:

  • Jong Il Rhee;Tae-Hyoung Kang;Ok-Jae Sohn;Sun Yong Kim

  • Affiliations:

  • BioProcess Technology Lab., School of Applied Chemical Engineering, Research Center for Biophotonics, Chonnam National University, GwangJu, Republic of Korea;Department of Industrial Engineering, Research Center for Biophotonics, Chonnam National University, GwangJu, Republic of Korea;BioProcess Technology Lab, Research Center for Biophotonics, Chonnam National University, GwangJu, Republic of Korea;BioProcess Technology Lab., Research Center for Biophotonics, Chonnam National University, GwangJu, Republic of Korea

  • Venue:
  • MCBC'07 Proceedings of the 8th Conference on 8th WSEAS Int. Conference on Mathematics and Computers in Biology and Chemistry - Volume 8
  • Year:
  • 2007

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Abstract

During fermentation processes of S. cerevisiae 2D spectrofluorometry produces a large volume of spectral data, which can be analyzed using chemometric methods such as principal component analysis (PCA) and partial least square regression (PLS). PCA resulted in scores and loadings that were visualized in the score-loading plots and used to monitor the fermentation processes on-line. PLS was used to examine the correlation between the 2D fluorescence spectra and the process variables.