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Experimental Study of Biodegradation of Ethanol and Toluene Vapors

Experimental Study of Biodegradation of Ethanol and Toluene Vapors

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2.2.6 Pseudomonas<br />

It is well known that bacteria belonging to the genus Pseudomonas utilize a<br />

large number <strong>and</strong> variety <strong>of</strong> compounds as carbon <strong>and</strong> energy sources (Stanier et al.,<br />

1966). While toluene is not readily degraded by all microorganisms, several strains <strong>of</strong><br />

Pseudomonas putida have demonstrated a toluene-degrading ability (Gibson et al.,<br />

1970; Vecht et al., 1988; Keuning <strong>and</strong> Jager, 1994; Romine <strong>and</strong> Brockman, 1996;<br />

Reardon et al., 1994, 2000; Kim <strong>and</strong> Jaffe, 2000; Brown et al., 2000). Reardon et<br />

al.(1994) measured the kinetics <strong>of</strong> toluene biodegradation by Pseudomonas putida F1<br />

(PpF1) <strong>and</strong> the maximum growth rate <strong>of</strong> PpF1 on toluene was found to be 0.86 h -1 .<br />

Reardon et al. (2000) also reported the kinetics <strong>of</strong> PpF1 growing on mixtures <strong>of</strong><br />

benzene, toluene, <strong>and</strong> phenol. <strong>Toluene</strong> significantly inhibited the biodegradation rate <strong>of</strong><br />

benzene <strong>and</strong> phenol. Brown et al. (2000) have reported toluene removal from aqueous<br />

streams in a cyclical bioreactor using Pseudomonas putida (ATCC 23973), which is the<br />

same strain used in this study. Liquid toluene was added to the self-cycling fermentor<br />

by diffusion across a silicone membrane.<br />

2.3 Modeling <strong>of</strong> Microbial Growth<br />

2.3.1 Monod Model<br />

Microbial growth is the result <strong>of</strong> both replication <strong>and</strong> change in cell size. In a<br />

suitable nutrient medium, organisms extract nutrients from the medium <strong>and</strong> convert<br />

them into biological compounds. A typical bacterial growth curve in a batch culture<br />

appears in the following order: lag phase, exponential phase, stationary phase, <strong>and</strong> death<br />

phase (Shuler <strong>and</strong> Kargi, 2002). The lag phase starts with inoculation <strong>of</strong> the<br />

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