Corynebacterium glutamicum - JUWEL - Forschungszentrum Jülich

More documents

Recommendations

Info

Table E.2: Model Parameters of the Competing Fermentation Models After Model Discriminating Experiment I. (continued) Model 1.5 1.6 Parameter Value σ Value σ Unit µmax,S1 0.436 0.0101 0.487 0.0251 h −1 KmS1 0.0328 0.147 32.7 9.56 mM mS1 0.0220 0.0101 0.00979 0.0171 h −1 YXS1 0.555 0.0293 0.630 0.117 OD.mM −1 µmax,S2 15.8 819 17.0 1.78·10 5 h −1 KmS2 3.38 175 0.0786 808 mM YXS2 17.9 0.626 14.1 0.829 OD.mM −1 πmax 0.455 0.207 0.145 0.418 mM.OD −1 .h −1 KpS1 300 266 412 1815 mM YPS1 1.76 0 571 1.80 7.79 mM.mM −1 KiS2,rp 0.500 0.268 9.40 49.6 mM µmin,S2 0.0358 0.00493 h −1 rx,min,S2 1.86 0.125 h −1 YPX,S1extra 0.386 0.113 0.661 0.0222 mM.OD −1 KiP,rp 1969 4978 mM KiP,rx 179 18.6 mM Model 1.7 1.8 Parameter Value σ Value σ Unit µmax,S1 0.448 0.0178 0.426 0.00569 h −1 KmS1 4.29 1.94 2.38 2.04 mM mS1 0.0304 0.0148 0.0346 0.00607 h −1 YXS1 0.568 0.0314 0.558 0.0438 OD.mM −1 µmax,S2 19.0 23356 17.8 1.55·10 5 h −1 KmS2 1.20 1475 0.331 2900 mM YXS2 16.8 0.648 16.9 0.596 OD.mM −1 πmax 0.313 0.566 0.446 0.370 mM.OD −1 .h −1 KpS1 455 1208 317 606 mM YPS1 1.68 1.13 1.80 0.909 mM.mM −1 KiS2,rp 0.651 0.618 mM rx,min,S2 1.73 0.162 1.68 0.165 h −1 YPX,S1extra 0.666 0.0475 0.427 0.268 mM.OD −1 KiP,rp 1751 5685 2000 5933 mM KiP,rx 220 39.5 196 30.1 mM 159
E. Models used in the First Model Discriminating Experiment. Table E.3.: Estimated Lag-Times of the First Batch Experiment, Before Model Discriminating Experiment I. Model tlag,exp1[h] 1.1 1.09 1.2 0.969 1.3 1.35 1.4 1.13 1.5 1.33 1.6 0.633 1.7 0.800 1.8 0.648 Table E.4.: Estimated Lag-Times of the First Batch Experiment (tlag,exp1) andAfter Model Discriminating Experiment I (tlag,exp2), After Model Discriminating Experiment I. Model tlag,exp1[h] tlag,exp2[h] 1.1 0.0037 1.92 1.2 0.401 2.33 1.3 0.381 2.00 1.4 0.508 2.48 1.5 0.537 2.44 1.6 0.0377 2.00 1.7 0.656 2.38 1.8 0.333 2.00 160
Page 1 and 2:
Lebenswissenschaften Life Sciences
Page 4 and 5:
Forschungszentrum Jülich GmbH Inst
Page 6:
’Therefore, mathematical modeling
Page 9 and 10:
Contents 3.4. Application: L-Valine
Page 11 and 12:
Contents 4
Page 13 and 14:
1. Introduction need for improved m
Page 15 and 16:
2. Theory In a batch process, all s
Page 17 and 18:
2. Theory 1997; Goncalves et al., 2
Page 19 and 20:
2. Theory For batch fermentations,
Page 21 and 22:
2. Theory with Yps being the yield
Page 23 and 24:
2. Theory Inhibition Some catalytic
Page 25 and 26:
2. Theory The method of least squar
Page 27 and 28:
2. Theory evaluation can be made by
Page 29 and 30:
2. Theory We define the measured or
Page 31 and 32:
2. Theory build in the model. An ob
Page 33 and 34:
2. Theory nations, the researcher i
Page 35 and 36:
2. Theory W = J · Covθ · J T (2.
Page 37 and 38:
2. Theory arg max ξ � m� m�
Page 39 and 40:
2. Theory with all measured values
Page 41 and 42:
2. Theory which can be estimated us
Page 43 and 44:
2. Theory One option to account for
Page 45 and 46:
2. Theory θ 2 $θ 2 0 area ≅ det
Page 47 and 48:
2. Theory designed using a paramete
Page 49 and 50:
2. Theory proteome14 (Hermann et al
Page 51 and 52:
2. Theory 44
Page 53 and 54:
3. Dynamic Modeling Framework itera
Page 55 and 56:
3. Dynamic Modeling Framework 3.3.
Page 57 and 58:
3. Dynamic Modeling Framework 3.3.3
Page 59 and 60:
3. Dynamic Modeling Framework 52 du
Page 61 and 62:
3. Dynamic Modeling Framework the c
Page 63 and 64:
3. Dynamic Modeling Framework For d
Page 65 and 66:
3. Dynamic Modeling Framework subse
Page 67 and 68:
3. Dynamic Modeling Framework 60
Page 69 and 70:
4. Simulative Comparison of Model D
Page 71 and 72:
Page 73 and 74:
Page 75 and 76:
Page 77 and 78:
Page 79 and 80:
Page 81 and 82:
Page 83 and 84:
Page 85 and 86:
Page 87 and 88:
Page 89 and 90:
Page 91 and 92:
Page 93 and 94:
Page 95 and 96:
5. L-Valine Production Process Deve
Page 97 and 98:
Page 99 and 100:
Page 101 and 102:
Page 103 and 104:
Page 105 and 106:
Page 107 and 108:
Page 109 and 110:
Page 111 and 112:
Page 113 and 114:
Page 115 and 116: 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 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 174 and 175: Table F.2.: Estimated Lag-Times of
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
Page 206 and 207: 6FKULIWHQ GHV )RUVFKXQJV]HQWUXPV -
Page 208 and 209: 6FKULIWHQ GHV )RUVFKXQJV]HQWUXPV -
show all

Corynebacterium glutamicum - JUWEL - Forschungszentrum Jülich

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?