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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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2.3.2 Growth Models with Inhibition<br />

At high concentrations <strong>of</strong> all substrates, growth becomes inhibited <strong>and</strong> growth<br />

rate depends on inhibitor concentrations. The inhibition pattern <strong>of</strong> microbial growth is<br />

analogous to enzyme inhibition. If a single enzyme-catalyzed reaction is the ratelimiting<br />

step in microbial growth, then kinetic constants are biologically meaningful.<br />

Often, the underlying mechanism is complicated <strong>and</strong> kinetic constants <strong>of</strong> unstructured<br />

growth models do not then have biological meanings. The effects <strong>of</strong> increasing the<br />

inhibitor concentrations are similar to the effects <strong>of</strong> enzyme reaction inhibitors. Thus,<br />

the expressions for enzyme inhibition can be applied to model cell growth inhibition.<br />

Some enzyme inhibition models are shown below (Shuler <strong>and</strong> Kargi, 2002):<br />

Non-competitive substrate inhibition (Haldane inhibition model):<br />

μ<br />

max<br />

μ =<br />

(2-3)<br />

K<br />

s S<br />

(1 + )(1 + )<br />

S K<br />

if K i >> K s , then<br />

i<br />

μ<br />

maxS<br />

μ =<br />

(2-4)<br />

2<br />

S<br />

(1 + S + )<br />

K i<br />

Competitive substrate inhibition:<br />

μ max<br />

S<br />

μ =<br />

(2-5)<br />

S<br />

K<br />

s<br />

(1 + ) + S<br />

K<br />

i<br />

where K i is the inhibition constant.<br />

Luong (1987) proposed an empirical relationship to correlate substrate inhibition:<br />

S<br />

= μ<br />

K + S<br />

m<br />

n<br />

μ ( 1−<br />

)<br />

(2-6)<br />

s<br />

S<br />

S<br />

m<br />

25

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