Experimental Study of Biodegradation of Ethanol and Toluene Vapors

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Appendix F. Prediction Results at Unsteady State If the dissolved oxygen (DO) is less than the critical value (C cr ), the system would no longer be operated at steady state, and Equations (5-65) or (5-66) will no longer be valid. Instead, the unsteady state equation has to be considered, thus Equation (5-61) becomes: dC dt x = (μ − D) ⋅C (F-1) x At this condition, bacteria are no longer growing, i.e., μ = 0 dC C x x = −D ⋅ dt (F-2) Integrated solution of Equation (F-1) is: C x = C ⋅ exp( −D ⋅ ) (F-3) x0 t The results of prediction from Equation (F-3) is given in Figure F-1. This proves that the model developed in this study can predict the transient process. For ethanol balance: dC dt e = −r + φ (F-4) e e where − r e 1 = Y ex ⋅ r x 1 + Y ep ⋅ r p + m e ⋅C x r = μ ⋅ =0, formation rate of biomass. x C x r p = k ⋅C ⋅C , formation rate of by-product (acetic acid). p e x 192
Biomass, ethanol, and acetic acid concentrations, g/L 3.5 3 2.5 2 1.5 1 0.5 0 0 5 10 15 Time, h biomass predicted ethanol predicted acetic acid predicted biomass measured ethanol measured acetic acid measured Figure F-1. Simulation results for continuous removal of ethanol at inlet gas concentration of 25.0 mg/L and dilution rate of 0.1 h -1 . 193
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BIOREMEDIATION OF VOLATILE ORGANIC
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ABSTRACT The mass transfer of ethan
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effect on the growth of P. putida.
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ACKNOWLEDGMENT Of the countless peo
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TABLE OF CONTENTS PERMISSION TO USE
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4.3 Batch Growth on Ethanol and Ben
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LIST OF FIGURES Figure 3-1. Schemat
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Figure 5.3 (b) Simulation of ethano
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Figure 5-16. Continuous removal of
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NOMENCLATURE a - Interfacial area,
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CHAPTER ONE - INTRODUCTION 1.1 Air
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esults (van Groenestijn and Hesseli
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experimental results are presented
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Table 2.2 VOC Emissions in the U.S.
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(paint shop effluents, for instance
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combustion provides 70 to 90% air p
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used to degrade ethanol vapours and
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g m -3 . This would suggest that th
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treatment, This excessive biomass f
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The simultaneous degradation of tol
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emoves only water-soluble gases. Wa
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2.2.6 Pseudomonas It is well known
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2.3.2 Growth Models with Inhibition
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where µ is the total specific grow
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2.4.1 Batch Reactor In a batch reac
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discharged from the other end. The
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element solution consisted of (gram
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growth on ethanol, 20-48 hours for
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Gas phase samples of toluene were c
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Inlet sampler Exit sampler To fume
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Once the oxygen meter indicated a s
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centrifuged and the supernatant was
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where k L a is the volumetric mass
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Figure 4-2a shows ethanol liquid co
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coefficient (k L a) in the well-mix
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calculated by dividing the gas volu
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Average bubble diameter, mm 8 7 6 5
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Bioflow III bioreactor. Equation (4
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3.5 y=Ln(S0/S) 3 2.5 2 1.5 1 y = 12
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Ethanol and biomass concentration,
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4.3.2 Batch Growth on Benzyl Alcoho
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Biomass and benzyl alcohol concentr
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ethanol loading was beyond the maxi
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Table 4-2. Comparison of bioremedia
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Biomass, benzyl alcohol and toluene
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4.4.3 Toluene-ethanol Bioremediatio
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Substrate and biomass concentration
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Biomass and benzyl alcohol concentr
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Biomass and benzoic acid concentrat
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ethanol. These results clearly indi
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CHAPTER FIVE - MATHEMATICAL MODELIN
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The stoichiometry of the biomass sy
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synthesis and in the ethanol catabo
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1 max Y ex = − 0.635 + 2δ + K 3
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Biomass Eq.5-18 Benzyl Alcohol Eq.5
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r x r N -1.27 -1 0 1 0 0 -0.2 0 0 2
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φ = −θ b ⋅ν (5-31) φ b = 1.
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The data sets used to evaluate the
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Figures 5.4a and 5.4b present 95% c
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Ethanol and biomass concentration (
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Ethanol measured (C-mol/L) 0.3 0.25
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Figures 5.5 (a-d) demonstrate the s
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Benzyl alcohol and biomass concentr
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Benzyl alcohol measured (C-mol/L) 0
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x = 5 ∑ i= 1 x N i (5-40) where x
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ethanol in a steady state mode is l
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where ν 1 , ν 2 , ν 3, ν 4 are
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Biomass concentration, g/L 1.5 1 0.
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φ T =ν 4 (5-53b) φx = −ν 1 (5
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In this study, a metabolic model ha
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Equations (5-34) and (5-35) and the
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ATP 1 = Y max ATP r x + m ATP ⋅ C
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Ethanol, biomass and ammonium conce
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Figure 5-13a shows that the lower t
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Biomass, substrate concentrations,
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C e DKe = (5-63) μ − D m Equatio
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corresponds with the value associat
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Biomass and ethanol concentrations
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than 4.0 mg/L at all dilution rates
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Biomass, benzyl alcohol and ammonia
Page 161 and 162: negligible ( y out , e = 0) , and e
Page 163 and 164: Figure 5-17 shows the results at a
Page 165 and 166: Biomass Concentrations, g/L 3.5 3 2
Page 167 and 168: C x ( 1 max Q max = ⋅{ D( Cb0 −
Page 169 and 170: 1.2 g/L, the system could not be op
Page 171 and 172: The continuous models can capture a
Page 173 and 174: • Air stripping coefficients obta
Page 175 and 176: Toluene acts as an inhibitor on the
Page 177 and 178: Bruining, W. J., G. E. H. Joosten,
Page 179 and 180: Falatko, D. M., and J. T. Novak, 19
Page 181 and 182: Keuning, S., and D. Jager, 1994.
Page 183 and 184: Orshansky, F., and N. Narkis, 1997.
Page 185 and 186: Togna, A. P, M. Singh, 1994. “Bio
Page 187 and 188: APPENDIX A. Important Metabolic Pat
Page 189 and 190: III. Toluene Pathway (Adapted from
Page 191 and 192: Appendix B. Calibration Procedure a
Page 193 and 194: Figure B-2. Pseudomonas putida (ATC
Page 195 and 196: Appendix B-3. Calibration of Chemic
Page 197 and 198: Appendix B-4. Calibration of Toluen
Page 199 and 200: Appendix C. Experimental Results: A
Page 201 and 202: Probe response time, s 12 10 8 6 4
Page 203 and 204: Appendix C-2. Fed-batch Operation B
Page 205 and 206: Appendix D: Mathematical Solutions
Page 207 and 208: The microscopic model allows the fo
Page 209 and 210: 13δ Y o , = 0.585 2 x = (D-24) (8K
Page 211: 2 σ = −1.3E − 06 (E-11) Y xe Y
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Experimental Study of Biodegradation of Ethanol and Toluene Vapors

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