On-line process monitoring and chemometric modeling with 2D fluorescence spectra obtained in recombinant E. coli fermentations |
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| Institution: | 1. BioProcess Technology Lab., Chonnam National University, YongBong-dong 300, 500-757 GwangJu, Republic of Korea;2. School of Applied Chemical Engineering, Chonnam National University, YongBong-dong 300, 500-757 GwangJu, Republic of Korea;3. Department of Industrial Engineering, Chonnam National University, YongBong-dong 300, 500-757 GwangJu, Republic of Korea;4. Center for Functional Nano Fine Chemicals, Chonnam National University, YongBong-dong 300, 500-757 GwangJu, Republic of Korea;1. R&D Center for Petrochemical Technology, Tianjin University, Tianjin 300072, China;2. Collaborative Innovation Center of Chemical Science and Engineering, Tianjin 300072, China;3. Key Laboratory for Green Chemical Technology of Ministry of Education, R&D Center for Petrochemical Technology, Tianjin University, Tianjin 300072, China;4. Department of Biochemical Engineering, School of Chemical Engineering and Technology, Tianjin University, Tianjin 300072, China;1. Institute of Applied Geosciences, Karlsruhe Institute of Technology, Adenauerring 20, 76131 Karlsruhe, Germany;2. Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76128 Karlsruhe, Germany;3. Institute of Mineralogy, Technische Universität Bergakademie Freiberg, Brennhausgasse 14, 09596 Freiberg, Germany;4. Department of Geology and Mineral Resources, Chinese University of Geosciences, Xueyuan Road 29, Beijing 100083, China;5. Research Center Human Biometeorology, Air Quality Department, German Meteorological Service, Stefan-Meier-Str. 4, 79104 Freiburg i. Br, Germany;1. Laboratory of Computational Systems Biotechnology (LCSB), Swiss Federal Institute of Technology (EPFL), CH-1015 Lausanne, Switzerland;2. Swiss Institute of Bioinformatics, CH-1015 Lausanne, Switzerland;3. Genomatica, Inc., San Diego, CA, USA;1. Fraunhofer Institute for Microelectronic Circuits and Systems, Duisburg, Germany;2. Institute of Materials in Electrical Engineering, Chair 1, RWTH Aachen University, Germany;3. Montefiore Institute, Department of Electrical Engineering and Computer Science, University of Liège, Belgium;1. Graduate School of Engineering, Nagoya Institute of Technology, Gokiso-cho Showa-ku, Nagoya, Aichi 466-8555, Japan;2. Osaka City University, The OCU Advanced Research Institute for Natural Science & Technology, 3-3-138 Sugimoto-cho, Sumiyoshi, Osaka 558-8585, Japan;3. Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku Nagoya, Aichi 464-8602, Japan |
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| Abstract: | 2D spectrofluorometry produces a large volume of spectral data during fermentation processes with recombinant E. coli, which can be analyzed using chemometric methods such as principal component analysis (PCA), principal component regression (PCR) and partial least square regression (PLS). An analysis of the spectral data by PCA results in scores and loadings that are not only visualized in the score-loading plots but are also used to monitor the fermentation processes on-line. The score plots provided useful qualitative information on four fermentation processes for the production of extracellular 5-aminolevulinic acid (ALA). Two chemometric models (PCR and PLS) were used to examine the correlation between the 2D fluorescence spectra and a few parameters of the fermentation processes. The results showed that PLS had slightly better calibration and prediction performance than PCR. |
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