Experimental Study of Biodegradation of Ethanol and Toluene Vapors

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emoval of ethanol at 25 mg/L of gas inlet concentration. At the instant of the gas inlet concentration being changed to 25 mg/L, the biomass reaches a higher level, which requires more oxygen for growth. The dissolved oxygen level decreased rapidly to zero, which is obviously below the critical value. At this condition an unwanted product, acetic acid, was formed which caused the pH level to decrease, which in turn inhibited the growth of the bacteria. The derivation of the unsteady state operation of the reactor is given in Appendix F. The transient, continuous flow model can appropriately capture the transient experimental data such as variation of gas inlet concentrations (See Figure 5-7 and Appendix F). Biomass and substrate concentrations, g/L; DO, mg/L 4 3.5 3 2.5 2 1.5 1 0.5 0 S X Cgin=15.9 mg/L Cgin=25.0 mg/L 0 20 40 60 80 ethanol (cont.) acetic acid Biomass DO, mg/L Time, h Figure 5-21. Removal of ethanol from gas stream in a continuous mode at dilution rate of 0.1 h -1 150
The continuous models can capture all significant physical phenomena since they were derived based on fundamental biochemical principles and mass balances. Equations (5-65), (5-69), (5-71), and (5-73) illustrate that biomass concentrations are a function of the operating conditions such as inlet and outlet concentrations in liquid and gas phases, dilution rates, yield coefficients on each substrate, and the maintenance terms under different conditions. If the operating conditions change, the model reflects the physical reality of this change. For instance, for continuous removal of ethanol at steady state conditions, biomass concentration increases as the amount of ethanol introduced from gas phase increases when other conditions remain the same (see Figures 5-14a and 5-14b). For example, results in Figure 5-7 show that the steady state continuous model predicts the changes in biomass concentrations due to the increase of ethanol gas inlet concentration. However, there was not sufficient time to generate more data to determine the predictive ability of the model. The limitation of the simulation is the parameters obtained from the limited (but time consuming) number of experiments such as m, Y m . As discussed in Section 5.4.2, this maintenance term of growth depends on the growth environment such as the type of substrate and its concentration, operating mode (batch or continuous), and conditions of other nutrients such as pH, oxygen and ammonia. Moreover, in reality the P/O ratio (δ ) may also vary with the operating conditions. Therefore, it is recommended that more detailed on-line measurements, including ATP, oxygen and carbon dioxide, be carried out in order to verify and improve the model in the future. 151
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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
Page 119 and 120: Ethanol and biomass concentration (
Page 121 and 122: Ethanol measured (C-mol/L) 0.3 0.25
Page 123 and 124: Figures 5.5 (a-d) demonstrate the s
Page 125 and 126: Benzyl alcohol and biomass concentr
Page 127 and 128: Benzyl alcohol measured (C-mol/L) 0
Page 129 and 130: x = 5 ∑ i= 1 x N i (5-40) where x
Page 131 and 132: ethanol in a steady state mode is l
Page 133 and 134: where ν 1 , ν 2 , ν 3, ν 4 are
Page 135 and 136: Biomass concentration, g/L 1.5 1 0.
Page 137 and 138: φ T =ν 4 (5-53b) φx = −ν 1 (5
Page 139 and 140: In this study, a metabolic model ha
Page 141 and 142: Equations (5-34) and (5-35) and the
Page 143 and 144: ATP 1 = Y max ATP r x + m ATP ⋅ C
Page 145 and 146: Ethanol, biomass and ammonium conce
Page 147 and 148: Figure 5-13a shows that the lower t
Page 149 and 150: Biomass, substrate concentrations,
Page 151 and 152: C e DKe = (5-63) μ − D m Equatio
Page 153 and 154: corresponds with the value associat
Page 155 and 156: Biomass and ethanol concentrations
Page 157 and 158: than 4.0 mg/L at all dilution rates
Page 159 and 160: 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: 1.2 g/L, the system could not be op
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 and 212: 2 σ = −1.3E − 06 (E-11) Y xe Y
Page 213: Biomass, ethanol, and acetic acid c
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Experimental Study of Biodegradation of Ethanol and Toluene Vapors

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