Biomedical Engineering Reference
In-Depth Information
and liquid volume can be maintained exactly constant. Consequently, a value of D slightly
less than D opt(DX) may be a good compromise between stability and biomass productivity.
Furthermore, when k d ¼
0, Eqn (12.22) is reduced to
s
K S
K S þ S 0
!
D opt ð DX Þ ¼ m max
1
(12.24)
It should also be apparent that D opt(DX) for biomass formation will not necessarily be
optimal for product formation. Example 12-1 illustrates the use of these equations to charac-
terize the performances of chemostats.
Example 12-1. A new strain of yeast is being considered for biomass production. Tab l e
E12-1.1 shows data obtained from a chemostat with a sterile feed. The substrate feed concen-
tration was 800 mg/L and an excess of oxygen was used at a pH of 5.5 and T
35 C. Deter-
¼
m net ¼ m max S
mine
m max , K S ,YF X/S , k d , and m S , assuming
K S þ S k d .
TABLE E12-1.1
Dilution rate,
h L 1
Carbon substrate
concentration, mg/L
Cell concentration,
mg/L
0.05
9.6
301
0.1
16.7
366
0.2
33.5
407
0.3
59.4
408
0.4
101
404
0.5
169
371
0.6
298
299
0.7
702
59
m max , K S ,YF X/S , k d , and m S are all
kinetic parameters needing to be determined from the experimental data set. Mass balance
of the biomass inside the chemostat leads to:
Solution. This is a case of parametric estimation as
d
d
t ¼ DðX 0 XÞþðm G k d ÞX
(E12-1.1)
where D is dilution rate and D
¼
Q/V . Since the feed medium is sterile, X 0 ¼
0, and the system
is at steady state ( d X/ d t
¼
0), then Eqn (E12-1.1) gives rise to
X ¼ 0
(E12-1.2)
or
D ¼ m net ¼ m G k d
(E12-1.3)
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