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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