Corynebacterium glutamicum - JUWEL - Forschungszentrum Jülich

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Table F.2.: Estimated Lag-Times of the First Batch Experiment (tlag,exp1), Model Discriminating Experiment I (tlag,exp2), and the Subsequent Intuitively Planned Experiment (tlag,exp3) After these Three Experiments. Model tlag,exp1[h] tlag,exp2[h] tlag,exp3[h] 2.1 6.56·10 −4 1.75 1.12 2.2 2.76·10 −4 1.79 1.50 2.3 2.82·10 −4 1.69 1.51 2.4 4.08·10 −4 1.77 1.12 2.5 1.09·10 −4 1.77 1.54 167
F. Models used in the Second Model Discriminating Experiment. Table F.3.: Model Parameters of the Competing Fermentation Models After Model Discriminating Experiment II. 168 Model 2.1 2.2 Parameter Value σ Value σ Unit µmax,S1 0.441 0.00591 0.420 0.00412 h −1 KmS1 14.63 0.951 0.00586 0.107 mM mS1 0.0814 0.00900 0.00135 0.0107 mM.OD −1 .h −1 YXS1 0.426 0.0162 0.339 0.0106 OD −1 .mM µmax,S2 1.30 0.409 4.32 2.45 h −1 KmS2 1.09 0.600 3.12 2.19 mM YXS2 65.1 9.52 140 33.4 OD −1 .mM πmax,S1 0.643 0.623 0.209 0.0252 mM.OD −1 .h −1 KpS1 46.0 53.8 9.93 2.67 mM YPS1 0.638 0.0275 0.577 0.0225 mM.mM −1 µmax,S3 5.12 2.69 19.4 263 h −1 KmS3 6.39 3.56 1.573 0.714 µM YXS3 91.7 4.21 16.1 6.84 OD.µM −1 µmax,S2Int 81.1 1793 h −1 KmS2Int 10.6 234 mM.OD −1 CS2IntMin,rx 0.00753 0.00141 mM.OD −1 mS2Int 21.9 6.08 OD.mM −1 .h −1 kdS2 0.00151 0.00139 − KiP,rs2 1.84 0.498 1.30 0.364 mM µmax,S3Int 2.63 558 7.40 47.5 h −1 KmS3Int 0.924 197 0.949 6.34 µM.OD −1 mS3Int 0.0815 0.0242 6.63·10 −4 0.206 h −1 CS3IntMin,rx 0.0114 0.00135 0.00669 0.00162 µM.OD −1 kS3extra 0.114 0.221 0.978 0.293 − KiS2,rp 2.33·10 −4 3.28·10 −4 mM −1 KpS3 0.862 5.01 0.939 0.179 µM.OD −1 CS3IntMin,rp 0.00197 0.00235 0.00790 0.00207 µM.OD −1 kS1extra 0.265 0.0363 0.135 0.0163 − KiP,rp 491 200 680 610 mM πmax,S3 10.2 57.1 mM.OD −1 .h −1 CS2IntMin,rp 0.00793 0.00144 mM.OD −1 KiP,rs1 657 414 mM
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Lebenswissenschaften Life Sciences
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Forschungszentrum Jülich GmbH Inst
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’Therefore, mathematical modeling
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Contents 3.4. Application: L-Valine
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Contents 4
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1. Introduction need for improved m
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2. Theory In a batch process, all s
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2. Theory 1997; Goncalves et al., 2
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2. Theory For batch fermentations,
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2. Theory with Yps being the yield
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2. Theory Inhibition Some catalytic
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2. Theory The method of least squar
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2. Theory evaluation can be made by
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2. Theory We define the measured or
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2. Theory build in the model. An ob
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2. Theory nations, the researcher i
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2. Theory W = J · Covθ · J T (2.
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2. Theory arg max ξ � m� m�
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2. Theory with all measured values
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2. Theory which can be estimated us
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2. Theory One option to account for
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2. Theory θ 2 $θ 2 0 area ≅ det
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2. Theory designed using a paramete
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2. Theory proteome14 (Hermann et al
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2. Theory 44
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3. Dynamic Modeling Framework itera
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3. Dynamic Modeling Framework 3.3.
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3. Dynamic Modeling Framework 3.3.3
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3. Dynamic Modeling Framework 52 du
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3. Dynamic Modeling Framework the c
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3. Dynamic Modeling Framework For d
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3. Dynamic Modeling Framework subse
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3. Dynamic Modeling Framework 60
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4. Simulative Comparison of Model D
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5. L-Valine Production Process Deve
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Page 123 and 124: 5. L-Valine Production Process Deve
Page 140 and 141: A. Nomenclature Table A.1.: Symbols
Page 142 and 143: Table A.1.: Symbols and Abbreviatio
Page 144 and 145: Table A.1.: Symbols and Abbreviatio
Page 146 and 147: B. Ratio between OD600 and Dry Weig
Page 148 and 149: C. The Influence of the Oxygen Supp
Page 150 and 151: The measurements of amino acids and
Page 152 and 153: kiv [mM] lac [mM] 15 10 5 0 0 10 20
Page 154 and 155: OTR, CTR 0.06 0.04 0.02 0 0 10 20 3
Page 156 and 157: DO properly at a low value in dynam
Page 158 and 159: D. Dilution for Measurement of Amin
Page 160 and 161: E. Models used in the First Model D
Page 162 and 163: Model 1.6 Model 1.6 is similar to m
Page 164 and 165: Table E.1: Model Parameters of the
Page 166 and 167: Table E.2: Model Parameters of the
Page 168 and 169: 161
Page 170 and 171: Model 2.2 Model 2.2 is similar to m
Page 172 and 173: Table F.1.: Model Parameters of the
Page 176 and 177: Table F.3: Model Parameters of the
Page 178 and 179: Table F.4.: Estimated Lag-Times of
Page 180 and 181: G. Alternative Off-line Optimized P
Page 182 and 183: G.2. Overall Yield of Product on Su
Page 184 and 185: Summary Fast development of product
Page 186 and 187: Zusammenfassung Es ist wichtig, die
Page 188 and 189: Acknowledgements This thesis result
Page 190 and 191: Bibliography K. Akashi, H. Shibai,
Page 192 and 193: Bibliography A. Bodalo-Santoyo, J.L
Page 194 and 195: Bibliography A.J. Cooper, J.Z. Gino
Page 196 and 197: Bibliography A.G. Fredrickson, R.D.
Page 198 and 199: Bibliography W.G. Hunter and A.M. R
Page 200 and 201: Bibliography A.C. McHardy, A. Tauch
Page 202 and 203: Bibliography E. Radmacher, A. Vaits
Page 204 and 205: Bibliography K.J. Versyck, J.E. Cla
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Corynebacterium glutamicum - JUWEL - Forschungszentrum Jülich

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