Chemometric Analysis of 2D Fluorescence Spectra for Monitoring and Modeling of Fermentation Processes |
Kang Tae-Hyoung
(Department of Industrial Engineering, Research Center for Biophotonics, Chonnam National University)
Sohn Ok-Jae (Department of Material Chemical and Biochemical Engineering, BioProcess Technology Lab., Research Center for Biophotonics, Chonnam National University) Kim Chun-Kwang (Department of Material Chemical and Biochemical Engineering, BioProcess Technology Lab., Chonnam National University) Chung Sang-Wook (Department of Industrial Engineering, Research Center for Biophotonics, Chonnam National University) Rhee Jong-Il (School of Applied Chemical Engineering, BioProcess Technology Lab., Research Center for Biophotonics, Chonnam National University) |
1 | Tartakovsky, B., M. Scheintuch, J. M. Hilmer, and T. Scheper (1996), Application of scanning fluorometery for monitoring of a fermentation process, Biotech. Progr. 12, 126-131 DOI ScienceOn |
2 | Boehl, D., D. Solle, B. Hitzmann, and T. Scheper (2003), Chemometric modeling with two-dimensional fluorescence data for Claviceps purpurea bioprocess characterization, J. Biotech. 105, 179-188 DOI ScienceOn |
3 | Bo, R. (2003), Multivariate calibration. What is in chemometrics for the analytical chemist? Anal. Chim. Acta. 500, 185-194 DOI ScienceOn |
4 | Dufour, E. and A. Riaublanc (1997), Potentiality of spectroscopic methods for the characterization of dairy products I Front-face fluorescence study of raw, heated and homogenized milks, Le Lait 77(6), 657-670 DOI |
5 | Guimet, F., J. Ferre, R. Bogue, and F. X. Rius (2004), Application of unfold principal component analysis and parallel factor analysis to the extrapolatory analysis of olive oils by means of excitation-emission matrix fluorescence spectroscopy, Anal. Chim. Acta. 515. 75-85 DOI ScienceOn |
6 | Cooper, J. B. (1999), Chemometric analysis of Raman spectroscopic data for process control applications, Chemomet Intell. Lab. Sys. 46, 231-247 DOI ScienceOn |
7 | Otsuka, M. (2004), Comapartive particle size determination of phenacetin bulk powder by using Kubelka-Munk theory and principal component regression analyis based on near-infrared spectroscopy, Powder Tech. 141, 244-250 DOI ScienceOn |
8 | Shimizu, H., K. Araki, S. Shioya, and K. I. Suga (1991), Optimal production of glutathione by controlling the specific growth rate of yeast in fed-batch culture, Biotech. Bioeng. 38, 196-205 DOI |
9 | Geladi, P. and B. R. Kowalski (1986), Partial least-squares regression: tutorial, Anal. Chim. Acta. 185, 1-17 DOI ScienceOn |
10 | Lee, K. I., Yim Y. S., Chung S. W., Wei J., and Rhee J. I. (2006), Application of artificial neural networks to the analysis of 2D fluorescence spectra in recombinant E.coli fermentation processes, J. Chem. Tech. Biotech. in print |
11 | Hegedorn, A., R. L. Legge, and H. Budman (2003), Evaluation of spectrofluorometry as a tool for estimation in fed-batch fermentations, Biotech. Bioeng. 83(1), 104-111 DOI ScienceOn |
12 | Karim. M. N., D. Hodge, and L. Simon (2003), Data-based modeling and analysis of bioprocesses: some real experiences, Biotech. Prog. 19, 1591-1605 DOI ScienceOn |
13 | Climander, C. and C. F. Mandenius (2002), Online monitoring of a bioprocess based on a multi-analyzer system and multivariate statistical process modeling, J. Chem. Tech. Biotech. 77, 1157-1168 DOI ScienceOn |
14 | Chung, S. Y, Seo K. H., and Rhee J. I. (2005), Influence of culture conditions on the production of extra-cellular 5-aminolevulinic acid (ALA) by recombinant E. coli, Proc. Biochem. 40. 385-394 |
15 | Mukherjee, J., C. Lindermann, and T. Scheper (1999), Fluorescence monitoring during cultivation of Enterobacter aerogenes at different oxygen levels, Appl. Microbiol. Biotech. 52, 489-494 DOI |
16 | Vaidyanathan, S., S. White, L. Harvey, and B. McNeil (2003), Influence of morphology on the near-infrared spectra of mycelial biomass and its implications in bioprocess monitoring, Biotech. Bioeng. 82(6), 715-724 DOI ScienceOn |
17 | Morel, M., K. Santamaria, M. Perrier, S. R. Guiot, and B. Tartakovsky (2004), Application of multi-wavelength fluorometery for on-line monitoring of an anerobic digestion process, Water Res. 38, 3287-3296 DOI ScienceOn |
18 | Teshima, N., H. Katsumate, M. Kurihara, T. Sakai, and T. Kawashima (1999), Flow-injection determination of copper(II) based on its catalysis on the redox reaction of cysteine with iron(III) in the presence of 1,10-phenanthroline, Talanta 50, 41-47 DOI ScienceOn |
19 | Givens D. I. and E. R. Deaville (1999), The current and future role of near infrared reflectance spectroscopy in animal nutrition, J. Agr. Res. 50(7), 1131-1145 DOI |
20 | Geladi P., B. Sthson, J. Nystrom, T. Lillhinga, T. Lestander, and J. Burger (2004), Chemometrics in Spectroscopy, Spectrochim. Acta. Part B 59, 1347-1357 |
21 | Skibsted, E., C. Lindemann, C. Roca, and L. Olsson (2001), On-line bioprocess monitoring with a multi-wavelength fluorescence sensor using multivariate calibration, J. Biotech. 88, 47-57 DOI ScienceOn |
22 | Jolliffe, I. T. (1986), Principal component analysis, New York, Springer |
23 | Langergraber G., Fleischmann N., and F. Hofstaedter (2003), A multivariate calibration procedure for UV/VIS spectrometric quantification of organic matter and nitrate in wastewater, Water Sci. Tech. 47(2), 63-71 |
24 | Liu, R. X., J. Kuang, Q. Gong, and X. L. Hou (2003), Principal component regression analysis with SPSS, Comp. Meth. Prog. Biomed. 71, 141-147 DOI ScienceOn |
25 | Maltlab manual, vers. 6.1, The Mathworks, Inc., USA, 2002 |
26 | Rhee, J. I., Lee K.-I., Kim C.-K., Yim Y.-S., Chung S-W., Wei, J., and K.-H. Bellgardt (2005), Classification of two-dimensional fluorescence spectra using self-organizing maps, Biochem. Eng. J. 22, 135-144 DOI ScienceOn |
27 | Tietze, F. (1969), Enzymic method for quantitative determination of nanogram amount of total and oxidized glutathione, Anal. Biochem. 27, 502-522 DOI ScienceOn |
28 | Basheer, I. A. and M. Hajmeer (2000), Artificial neural networks: fundamentals, computing, design, and application, J. Microbiol. Meth. 43, 3-31 DOI ScienceOn |
29 | Bhat, N. V. and T. J. (1992), Determining model structure for neural network stripping, Compo Chem. Eng. 16, 271-281 |
30 | Lindemann, C., S. Marose, H. O. Nielson, and T. Scheper (1998), 2-Dimensional fluorescence spectroscopy for on-line bioprocess monitoring, Sens. Actuat. B 51, 271-277 |
31 | Haack, M. B., A. Eliasson, and L. Olsson (2004), On-line cell mass monitoring of Saccharomyces cerevisiaecultivations by multi-wavelength fluorescence, J. Biotech. 114, 199-208 DOI ScienceOn |
32 | Marose, S., C. Lindemann, and T. Scheper (1998), Two-dimensional fluorescence spectroscopy: A new tool for on-line bioprocess monitoring, Biotech. Prog. 14, 63-74 DOI ScienceOn |
33 | Tartakovsky, B., L. A. Lishman, and R. L. Legge (1996), Application of multi-wavelength fluorometry for monitoring wastewater treatment process dynamics, Water Res. 30, 2941-2948 DOI ScienceOn |
34 | Wentzell, P. D. and L. V. Montoto (2003), Comparison of principal components regression and partial least squares regression through generic simulations of complex mixturtes, Chem. Intell. Lab. Sys. 65, 257-279 DOI ScienceOn |
35 | Wolf, G., J. S. Almeida, C. Pinheiro, V. Correia, C. Rodrigues, MAM. Reis, and J. G. Crespo (2001), Two-dimensional fluorometry coupled with artificial neural networks: a novel method for on-line monitoring of complex biological processes, Biotech. Bioeng. 72, 297-306 DOI ScienceOn |