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Prized Writing
University of California, Davis
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DETERMINATION OF VOLUMETRIC MASS TRANSFER COEFFICIENT IN A STIRRED, SPARGED BIOREACTOR
Eric Jackson
Writer’s comment:
ECH 161L was the closest thing to the real world that I have
experienced in all of my classes at UC Davis. The details and
parameters of the experiments we did were obtained mostly from the
literature, rather than from a handout given to us by the professor.
That was a first — I actually had to think about the experiment and
plan it beforehand. It was also something of a first when I was able to
use my experiments in ECH 161L as the basis for a class report —
written report — in Engineering Writing (English 102). - Eric Jackson
Instructor’s comment:
Engineering students tend to pay more attention to scientific accuracy
than to writing style. And appropriately so; no one wants bridges to
fall down because of some engineering miscalculation. But I try to get
students to see that writing style does matter. I use the documents
leading up to the reactor failure at Three Mile Island to show that how
engineers say something (for example, how they organize a document)
affects people’s understanding as much as the facts that the engineers
might present. I also encourage students to consider what they like to
see when they are reading technical documents and to use some of those
techniques in their own papers. Eric’s report is an excellent example of such an effective
scientific style: it is clear, concise, specific, and well-organized. I
also like the way that he establishes his research questions in the
introduction and concludes by directly stating his answers; readers
won’t have any difficulty determining why his work is important and
what he learned from it.
- John Stenzel, English Department
Introduction
The oxygen transfer rate from a gas to a broth in aerobic
fermentation is an important parameter in the design and operation of
bioreactors. Aerobic organisms need oxygen for growth, product
formation, and cell maintenance. Thus, adequate transfer of oxygen from
a gas to the fermentation broth must be maintained. The volumetric mass
transfer coefficient, kLa, indicates the rate of oxygen used for fermentation, taking into account all oxygen-consuming variables in the bioreactor. kLa
values are used in scaling up from laboratory scale to pilot scale or
production scale bioreactors. The determination of the kLa
value for a fermentation is important in order to maintain adequate
transfer of oxygen in a bioreactor, for laboratory scale use or when
scaling up to a larger process.2
Transfer of oxygen from a gas phase to a liquid phase is
complicated by presence of cells, product formation, ionic species, and
antifoaming agents. These can alter bubble size and liquid film
resistance, which affect oxygen solubility.4 Resulting kLa
values are different from those predicted from correlations for oxygen
absorption into water. Therefore, it is important to have a reliable
method for measuring kLa in fermentation systems.2
This experiment examines the relative effects of agitation rate and air sparging rate on kLa in distilled water. In addition, the effects of agitation rate on kLa
are examined in a fermentation media. The results from the variation of
agitation rate in the distilled water and the fermentation media are
compared to see how a realistic media affects kLa.
Theory
There are several models which can be used to determine kLa. All models used to evaluate kLa
assume ideal mixing of the two phases in the reactor and a negligible
resistance of the gas phase to oxygen transfer across the interface.2 This experiment uses the dynamic gassing out method, which gives the following oxygen mass transfer model:
dCL = kLa(C* – CL) (1)
dt
where CL is the dissolved oxygen concentration and C* is the saturated dissolved oxygen concentration in the solution.2,3,4 Figure 1 shows a schematic of the oxygen mass transfer process:
Figure 1. Oxygen Mass Transfer Process
This model also neglects the response time of the oxygen
electrode because the time constant of the electrode is less than the
time it takes to saturate the solution. A plot of ln(C* – CL) versus
time yields a line with a slope equal to –kLa.4
Experimental Methods
Apparatus
Fermenter
A 5L bioreactor (New Brunswick Scientific, BioFlo 3000
Model) was used in this experiment. This reactor is equipped with
built-in automatic feedback controllers for temperature, agitation, and
dissolved oxygen. The agitation system is comprised of a marine
propeller stirrer and a radially conveying flat-blade disk stirrer. The
disk stirrer is located 6.5 in. from the head plate (3.5 in. above the
sparger) and has a diameter of 3.0 in. There are six blades, each with
a width of 0.0625 in., a height of 0.625 in., and a length of 0.75 in.
The marine propeller is 9.625 in. from the head plate (0.25 in. from
the sparger) and has a diameter of 2.25 in. There are three blades,
each with a width of 0.125 in.
Dissolved Oxygen (DO) Probe
A Type T DO Probe (12mm Diameter, Teflon Membrane) was
used in this experiment. The time constant given in the specifications
is 90s for 98% concentration. During calibration, the probe was found
to have a time constant of 99s for 100%.
Figure 2. Experimental Setup (www.nbsc.com/index2.htm)
Procedure
The time constant inherent in the DO probe was determined
by quickly moving the probe from a nitrogen-sparged liquid to an
oxygen-sparged liquid, and observing the response time for the probe to
record saturation. To check for hysteresis of the probe, the response
time was observed when the probe was placed back into the
nitrogen-sparged liquid. There was some hysteresis observed, but this
was neglected as all measurements are from a nitrogen-sparged solution
to an oxygen-sparged solution.
The dynamic gassing out method was used to measure the change
in dissolved oxygen. The solution was sparged with nitrogen, then
sparged with oxygen at the same flow rate and agitation rate. The
change in dissolved oxygen was measured until the solution became
saturated.2,4
In order to observe the relative effects of aeration rate in distilled water on kLa,
agitation rate was held constant at 500 rpm while aeration rate was
varied at 0.5, 1.0, 3.0, 4.0, and 6.0 L/min. To see the effects of
agitation rate, aeration rate was held constant at 3.0 L/min while
agitation rate was examined at 50, 100, 500, 700, and 1000 rpm.
To determine the effects of fermentation media on kLa,
distilled water in the bioreactor was replaced with McCoy’s 5A Medium
(Sigma, M-6523), and only agitation was varied. The same values were
used as with distilled water so that they could be compared. A
different batch of McCoy’s 5A Medium was used for 500 and 700 rpm, due
to contamination of the medium.
Results
Values for kLa were found by plotting ln(C* – CL) versus time. The slope of the graph is equal to –kLa. In general, kLa increases with an increase in aeration rate or agitation rate. This increase is demonstrated in Figure 3, as kLa varies from 0.02 s–1 to 0.12 s–1
with different aeration rates. Figure 3 also shows that 3 L/min was a
good aeration rate to be held constant for variation of agitation rate.
Figure 3. kLa Versus Aeration Rate for Distilled Water
An increase in kLa is also seen in Figure 4 in the range of 50 to 1000 rpm. Figure 4 also shows a larger range of values for kLa than that seen in Figure 3. Agitation rates vary from about 0.2s–1 to 0.2s–1. Around 500 rpm is a good median value to be held constant for variation of aeration rate.
Figure 4. kLa Versus Agitation Rate for Distilled Water
Figure 5 shows values for kLa versus agitation rate for the fermentation media. The range of kLa
values looks more like that for variation of aeration of distilled
water than that for agitation rate. It is also interesting to note that
while the general trend is to increase, the kLa value at 700 rpm is greater than the kLa value at 1000 rpm.
Figure 5. kLa Versus Agitation Rate for Fermentation Media
Table 1 puts the data from Figure 4 and Figure 5 into tabular form so that the kLa values from the two different solutions can be compared.
Table 1. Comparable Values of kLa for Distilled Water and Fermentation Media (aeration held constant at 3.0 L/min)
Agitation Rate (rpm ± 1 rpm) |
Distilled Water kLa (1/s ± 3.9%) |
Fermentation Media kLa (1/s ± 3.9%) |
| 50 |
0.018 |
0.016 |
| 20 |
00.029 |
0.029 |
| 500 |
0.053 |
0.096 |
| 700 |
0.171 |
0.142 |
| 1000 |
0.213 |
0.122 |
In general, the kLa values for distilled water are greater than the kLa values for the fermentation media. They also show a greater range of kLa
values. Table 2 shows the data from three runs of 100 rpm and 3.0
L/min. The results in this table are meant to show the reproducibility
of the method and model used in this experiment.
Table 2. Reproducibility Data
| Agitation Rate (rpm ± 1 rpm) |
kLa (1/s ± 3.9%) |
| 1000 |
0.212 |
| 1000 |
0.222 |
| 1000 |
0.206 |
Average Standard Deviation |
0.213 0.00842 |
Discussion
In general, values of kLa increased as aeration rates or agitation rates increased. This is consistent with what is found in the literature.1,3
Values found by Atkinson are very similar for both variation of
agitation rate (500, 700, and 1000 rpm data available for comparison)
and of aeration rate (0.5 and 1.0 L/min available for comparison).1
These comparable results show that the dynamic gassing out method and
mass transfer model used give the correct trends and are reliable. Values of kLa in Table 2
were calculated for testing the precision of the method and the model
used in this experiment. A standard deviation of 3.9% was found from
these values. This gives the kLa values in this experiment an error of ±3.9% (acceptable for this experiment).
The kLa is found in order to
determine the rate of oxygen flow needed for fermentation. It takes
into account all oxygen-consuming variables in the fermentation,
including aerobic organisms. Data from Figure 5 seem to indicate the
presence of anaerobic organisms. The values for 50, 200, and 1000 rpm
result from a fermentation media that was made hours before the
experiment was actually performed. The values for 500 and 700 rpm
result from a fermentation media that was made just before the
experiment took place. The first batch of fermentation media provided
ideal conditions for the growth of aerobic organisms over the several
hours before it was used. The relative kLa
is low, superficially indicating that it took more time to transfer
oxygen. In actuality, the values are lower probably because of the
consumption of oxygen by aerobic organisms. This consumed oxygen is
part of the overall oxygen delivered, but it is not measured. Therefore
a lower kLa results. The contamination of the first batch of fermentation media was probably due to anaerobic organisms.
The effect of a fermentation media on kLa is seen by the lower values of kLa
for the media than those for water. The more viscous solution does not
take up oxygen as well as water. Another explanation could be that
there are oxygen-consuming variables in the media.
Conclusions
In general, kLa values increase as agitation rates and aeration rates are increased. Values for kLa
are also influenced by factors like fermentation media and the oxygen
consumption of aerobic organisms. In aerobic fermentation, it is
important to provide adequate transfer of oxygen for the growth,
product formation, and cell maintenance of aerobic organisms. kLa
calculations must take this oxygen use by aerobic organisms into
account, or the values will appear lower than they really are. It is
key to have a reliable method and model to use to determine kLa so that this oxygen is provided. The dynamic gassing out method/model is reliable and accurate for this process.
Nomenclature
a interfacial gas liquid surface area per unit reactor volume (L2/L3)
CL dissolved oxygen concentration (mol/L)
C* saturated dissolved oxygen concentration in the solution (mol/L)
kL mass transfer coefficient (1/t)
kL avolumetric mass transfer coefficient (s–1)
References
1. Atkinson, B. 1991. Biochemical Engineering and Biotechnology Handbook,2nd Edition, Stockton Press, New York, NY, Chapter 12.
2. Gauthier, T., Thibault, J. and LeDuy, A. 1991. Measuring kLa with Randomly Pulsed Dynamic Method, Biotechnology and Bioengineering,37: 889-893.
3. Linek, V., Vacek, V. and Benes, P. 1987. A Critical Review
and Experimental Verification of the Correct Use of the Dynamic Method
for the Determination of Oxygen Transfer in Aerated Agitated Vessels to
Water, Electrolyte Solutions and Viscous Liquids, Chemical Engineering Journal,34:11-34.
4. Schuler, M.L. and Kargi, F. 1992, Bioprocess Engineering: Basic Concepts,Prentice Hall, Englewood Cliffs, NJ, pp. 277-281.
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