Biomass measurement online: the performance of in situ measurements and software sensors
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[1] Karl Willy Wagner,et al. Erklärung der dielektrischen Nachwirkungsvorgänge auf Grund Maxwellscher Vorstellungen , 1914 .
[2] H. Schwan. Electrical properties of tissue and cell suspensions. , 1957, Advances in biological and medical physics.
[3] G N Stephanopoulos,et al. Intelligent Sensors in Biotechnology , 1987, Annals of the New York Academy of Sciences.
[4] I. Marison,et al. A calorimetric investigation of the aerobic cultivation of Kluyveromyces fragilis on various substrates , 1987 .
[5] Application of on line sensors during growth of the dichloroethane degrading bacterium xanthobacter autotrophicus , 1989 .
[6] T Chattaway,et al. An adaptive state estimator for detecting contaminants in bioreactors , 1989, Biotechnology and bioengineering.
[7] D. Kell,et al. The dielectric permittivity at radio frequencies and the bruggeman probe: novel techniques for the on-line determination of biomass concentrations in plant cell cultures , 1991 .
[8] John Villadsen,et al. Characterization and application of precise and robust flow-injection analysers for on-line measurement during fermentations , 1991 .
[9] Prozeßkontrolle in der Biotechnologie mit einem On-line-Viskosimeter am Beispiel der Penicillin-Fermentation , 1991 .
[10] A. Blomberg,et al. Use of microcalorimetric monitoring in establishing continuous energy balances and in continuous determinations of substrate and product concentrations of batch‐grown Saccharomyces cerevisiae , 1991, Biotechnology and bioengineering.
[11] R Fehrenbach,et al. On-line biomass monitoring by capacitance measurement. , 1992, Journal of biotechnology.
[13] E Latrille,et al. On‐line estimation of biological variables during pH controlled lactic acid fermentations , 1994, Biotechnology and bioengineering.
[14] R. W. Watson,et al. Studies of on-line viable yeast biomass with a capacitance biomass monitor. , 1994, Biotechnology and bioengineering.
[15] On-Line Measurement and Control of Cell Concentration Using a laser Turbidimeter , 1995 .
[16] S S Ozturk,et al. Evaluation and applications of optical cell density probes in mammalian cell bioreactors , 1995, Biotechnology and bioengineering.
[17] Kazuyuki Shimizu,et al. Application of artificial neural network and fuzzy control for fed-batch cultivation of recombinant Saccharomyces cerevisiae , 1996 .
[18] B Tartakovsky,et al. Application of Scanning Fluorometry for Monitoring of a Fermentation Process , 1996, Biotechnology progress.
[19] J. Nielsen,et al. On-line and in situ monitoring of biomass in submerged cultivations , 1997 .
[20] S A Siano,et al. Biomass measurement by inductive permittivity. , 1997, Biotechnology and bioengineering.
[21] C. Vergoignan,et al. Biomass estimation in solid state fermentation , 1997 .
[22] M. Boon,et al. The use of on-line off-gas analyses and stoichiometry in the bio-oxidation kinetics of sulphide minerals , 1998 .
[23] J. Block,et al. Dielectric permittivity measurement of hydrophilic and hydrophobic bacterial suspensions: a comparison with the octane adhesion test , 1998 .
[24] Christopher L. Davey,et al. The influence of electrode polarisation on dielectric spectra, with special reference to capacitive biomass measurements I. Quantifying the effects on electrode polarisation of factors likely to occur during fermentations , 1998 .
[25] Thomas Scheper,et al. Two‐Dimensional Fluorescence Spectroscopy: A New Tool for On‐Line Bioprocess Monitoring , 1998, Biotechnology progress.
[26] F.-S. Wang,et al. On-line state estimation of biomass based on acid production in Zymomonas mobilis cultures , 1998 .
[27] Koji Asami,et al. Monitoring cell cycle by impedance spectroscopy: experimental and theoretical aspects , 1998 .
[28] Gonzalo Acuña,et al. Static and Dynamic Neural Network Models for Estimating Biomass Concentration during Thermophilic Lactic Acid Bacteria Batch Cultures , 1998 .
[29] R. Kemp,et al. Specific heat flow rate: an on-line monitor and potential control variable of specific metabolic rate in animal cell culture that combines microcalorimetry with dielectric spectroscopy. , 1998, Biotechnology and bioengineering.
[30] F. Valero,et al. On-line determination of the total lipolytic activity in a four-phase system using a lipase adsorption law. , 1999, Journal of bioscience and bioengineering.
[31] Christopher L. Davey,et al. The dielectric properties of biological cells at radiofrequencies : Applications in biotechnology , 1999 .
[32] Thomas Scheper,et al. Optical sensor systems for bioprocess monitoring , 1999 .
[33] D B Kell,et al. On-Line, Real-Time Measurements of Cellular Biomass using Dielectric Spectroscopy , 2000, Biotechnology & genetic engineering reviews.
[34] M. Rossi,et al. Enhanced production of L-(+)-lactic acid in chemostat by Lactobacillus casei DSM 20011 using ion-exchange resins and cross-flow filtration in a fully automated pilot plant controlled via NIR. , 2000, Biotechnology and bioengineering.
[35] Robert Voyer,et al. On‐Line Monitoring of Physiological Parameters of Insect Cell Cultures during the Growth and Infection Process , 2000, Biotechnology progress.
[36] Norbert Gerbsch,et al. A novel fiber optic probe for on-line monitoring of biomass concentrations , 2000 .
[37] U. Rinas,et al. Simple technique for simultaneous on-line estimation of biomass and acetate from base consumption and conductivity measurements in high-cell density cultures of Escherichia coli. , 2000, Biotechnology and bioengineering.
[38] J. F. Van Impe,et al. Combining yield coefficients and exit-gas analysis for monitoring of the baker's yeast fed-batch fermentation , 2000 .
[39] J. F. Van Impe,et al. Evaluation of on-line viable biomass measurements during fermentations of Candida utilis , 2000 .
[40] R. A. Potyrailo. On-line Measurement , 2001 .
[41] R. Kemp. The application of heat conduction microcalorimetry to study the metabolism and pharmaceutical modulation of cultured mammalian cells , 2001 .
[42] Linda M. Harvey,et al. Deconvolution of near-infrared spectral information for monitoring mycelial biomass and other key analytes in a submerged fungal bioprocess , 2001 .
[43] J. Menezes,et al. Real time monitoring biomass concentration in Streptomyces clavuligerus cultivations with industrial media using a capacitance probe. , 2000, Journal of biotechnology.
[44] S. Sivakesava,et al. Simultaneous determination of multiple components in lactic acid fermentation using FT-MIR, NIR, and FT-Raman spectroscopic techniques , 2001 .
[45] T. Scheper,et al. Fluorescence Techniques for Bioprocess Monitoring , 2002 .
[46] E. November,et al. The tuning of a model-based estimator for the specific growth rate of Candida utilis , 2002, Bioprocess and biosystems engineering.
[47] G. Bastin,et al. Feedback Stabilization of Fed‐Batch Bioreactors: Non‐Monotonic Growth Kinetics , 2002, Biotechnology progress.
[48] S. Arnold,et al. Use of at‐line and in‐situ near‐infrared spectroscopy to monitor biomass in an industrial fed‐batch Escherichia coli process , 2002, Biotechnology and bioengineering.
[49] K Schügerl,et al. In-situ-fluorescence-probes: a useful tool for non-invasive bioprocess monitoring. , 2002, Advances in biochemical engineering/biotechnology.
[50] E. Ferreira,et al. Estimation of multiple biomass growth rates and biomass concentration in a class of bioprocesses , 2003, Bioprocess and biosystems engineering.
[51] Urs von Stockar,et al. On‐line biomass monitoring of CHO perfusion culture with scanning dielectric spectroscopy , 2003, Biotechnology and bioengineering.
[52] Dörte Solle,et al. Chemometric modelling with two-dimensional fluorescence data for Claviceps purpurea bioprocess characterization. , 2003, Journal of biotechnology.
[53] Brian McNeil,et al. Influence of morphology on the near-infrared spectra of mycelial biomass and its implications in bioprocess monitoring. , 2003, Biotechnology and bioengineering.
[54] E. Tamburini,et al. Near-Infrared Spectroscopy: A Tool for Monitoring Submerged Fermentation Processes Using an Immersion Optical-Fiber Probe , 2003, Applied spectroscopy.
[55] Lisbeth Olsson,et al. On-line cell mass monitoring of Saccharomyces cerevisiae cultivations by multi-wavelength fluorescence. , 2004, Journal of biotechnology.
[56] C. Ghommidh,et al. On-line determination of flocculating Saccharomyces cerevisiae concentration and growth rate using a capacitance probe , 2001, Biotechnology Letters.
[57] C. Will Chen,et al. Bounded water kinetic model of β-galactosidase in reverse micelles , 2004 .
[58] Barry Lennox,et al. Integrated condition monitoring and control of fed-batch fermentation processes , 2004 .
[59] Sing Kiong Nguang,et al. Soft sensors for on-line biomass measurements , 2004, Bioprocess and biosystems engineering.
[60] C. Vergoignan,et al. Biomass estimation in solid state fermentation II. On-line measurements , 1991, Applied Microbiology and Biotechnology.
[61] M. Sarrafzadeh,et al. Growth, Sporulation, δ-Endotoxins Synthesis, and Toxicity During Culture of Bacillus thuringiensis H14 , 2005, Current Microbiology.
[62] P. Teissier,et al. Lactic Acid Bacteria Biomass Monitoring in Highly Conductive Media by Permittivity Measurements , 2005, Biotechnology Letters.
[63] Carl-Fredrik Mandenius,et al. On-line multi-analyzer monitoring of biomass, glucose and acetate for growth rate control of a Vibrio cholerae fed-batch cultivation. , 2005, Journal of biotechnology.
[64] Bo Liu,et al. Observer-based online compensation of inner filter effect in monitoring fluorescence of GFP-expressing plant cell cultures. , 2005, Biotechnology and bioengineering.
[65] C. Ghommidh,et al. Dielectric monitoring of growth and sporulation of Bacillus thuringiensis , 2005, Biotechnology Letters.
[66] Rimvydas Simutis,et al. Estimation of biomass concentrations in fermentation processes for recombinant protein production , 2006, Bioprocess and biosystems engineering.
[67] Matti Leisola,et al. Modeling and simulation of Streptomyces peucetius var. caesius N47 cultivation and ɛ-rhodomycinone production with kinetic equations and neural networks , 2006 .
[68] F. Leroy,et al. Use of Artificial Neural Networks and a Gamma-Concept-Based Approach To Model Growth of and Bacteriocin Production by Streptococcus macedonicus ACA-DC 198 under Simulated Conditions of Kasseri Cheese Production , 2006, Applied and Environmental Microbiology.
[69] K. Kiviharju,et al. On-line biomass measurements in bioreactor cultivations: comparison study of two on-line probes , 2007, Journal of Industrial Microbiology & Biotechnology.
[70] Ali Demirci,et al. An On‐Line Approach To Monitor Ethanol Fermentation Using FTIR Spectroscopy , 2007, Biotechnology progress.
[71] Maurício Bezerra de Souza,et al. A hybrid neural model (HNM) for the on-line monitoring of lipase production by Candida rugosa , 2007 .
[72] Bernd Hitzmann,et al. Fluorescence Techniques for Bioprocess Monitoring , 2010 .