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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5366_Библиотеки_им_академика_М_И_Перельмана.pdf
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90
G. W. Hiller
culture science would then be to determine the other by-products and devise meth­odologies to limit or control their formation. Easier said than done! We will touch on such efforts later in this chapter, but for now remind the reader that “the solution to pollution is dilution,” or in the case of cell culture…perfusion. Perfusion is the brute force method that will solve nearly any waste product accumulation problem. However, if the waste product is merely lactate, perfusion is a very inefcient method of keeping lactate below a growth inhibitory concentration [29, 46]. A much more efcient way to implement perfusion is to allow cells to control their own perfusion rate and simultaneously reduce net lactate production to near zero. This can be accomplished by modifying and extending the HiPDOG control scheme to work with perfusion [9]. The technique can reduce by several fold the rate of perfu­sion required to maintain a culture in an exponential growth state and allow us to coin yet another cute acronym, HiPCOP, or Hi-end pH Control Of Perfusion. Instead of controlling the rate of nutrient addition to a fed-batch culture, now when the pH reaches a high-end set point (indicating the culture is limited for glucose) a pump is activated that delivers perfusion media containing glucose to the culture, while a second pump maintains the volume of the culture constant by removing an equal amount of liquid from the culture through a cell retention device. In a similar man­ner to the HiPDOG control, the addition of perfusion media via HiPCOP stops when the pH drops back below the high-end set point as a small amount of lactic acid is produced. However, at this point the astute cell culture scientist would realize the fundamental problem with this this approach. The control of lactic acid forma­tion would almost be too good in this case. Recall that when HiPDOG was used with fed-batch cultures the lactate concentration would slowly fall throughout the course of a culture since other acidic metabolic by-products partially interfered with the control. Even with many dozens of CHO cell lines tested with HiPDOG in fed batch, provided the initial glucose level of the culture was high enough, the level of lactate never fell too low for the HiPDOG control scheme to continue to operate effectively during the growth phase. However, in the case of perfusion, with the simultaneous reduction in lactate concentrations just due to the perfusion operation itself (the ushing of the pollution, remember?), reduction in lactate to near zero could be a real possibility and might cause the HiPCOP control scheme to fail, overly restricting the perfusion rate and slowing cell growth.
Upon realizing this complication, in our laboratory we began adding sodium-L­lactate to the incoming perfusion medium at low levels to ensure that there would always be a low level of lactate in the perfusion bioreactor culture so that the HiPCOP control scheme would not fail. While almost a blasphemous proposal to add lactate to a culture when for the last few decades we were trying to minimize lactate forma­tion in mammalian cell culture, it seemed pragmatic initially. We found, however, that pure sodium-L-lactate is not an inexpensive raw material. Far less expensive is the racemic mixture of D/L-lactic acid which is a by-product of certain industrial processes, and seems to be well tolerated when added to cell cultures. However, since the D form of lactic acid is not readily consumed by mammalian cultures, it would be an extra ion contributing to osmotic strength and the chemical mixture itself would be another raw material requiring suitable sourcing. In continued exper­imentation and understanding of the chemical and biochemical processes occurring
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in these cell cultures, it was realized that just as in fed-batch cultures where HiPDOG control was partially decoupled due to the formation of other acidic species, a perfu­sion culture with HiPCOP control could be continuously maintained at a higher (but still relatively low and controlled) lactate level merely by continuously forcing the pH up independent of the HiPCOP control scheme. This could be accomplished with a continuous slow addition of sodium carbonate titrant or by the continuous ashing­off of carbon dioxide (a removal of carbonic acid if you will) coming from perfusion media entering the bioreactor. The perfusion media was modied to have slightly higher than normal levels of sodium bicarbonate [47]. While carbon dioxide removal can sometimes be an issue with scale up of cell culture processes, a simple calcula­tion reveals that the amount of additional carbon dioxide necessary to be removed from a perfusion culture using extra sodium bicarbonate in the perfusion media is a small fraction of that needed to be removed simply due to the metabolism of glucose to carbon dioxide in the tricarboxylic acid cycle.
4.3.5 “Whack aMole” withInhibitory By-products
The techniques discussed in the above sections describe methods to control lactate and ammonium accumulation, and, at least with perfusion culture, ush out every­thing else that might be slowing growth. Ideally, however, to minimize process com­plexity, we’d prefer not to use perfusion at all and just keep cells growing to ever higher peak densities in simple fed-batch culture. We determined early on that lac­tate accumulation was the primary factor limiting cell growth in our cultures [23], but once that was controlled, we could start to see the “forest for the trees,” that is, we began to see all the other inhibitors being formed when previously all we could see was lactate. We conducted a series of experiments which ruled out a number of other potential reasons and conrmed that the primary factor causing cessation of CHO cell growth was the accumulation of small molecular weight chemical com­pounds that were by-products of cellular metabolism [42]. A wide range of metabo­lism by-products were identied and eventually quantitated by NMR (nuclear magnetic resonance) and LC/GC-MS (liquid chromatography/gas chromatogra­phy—mass spectroscopy). The levels of their accumulation in fed-batch cultures as cell growth slowed were determined, and a painstaking analysis directed by conven­tional understandings of mammalian cell metabolism pathways was performed to determine the growth inhibitory potential of each compound.
While most of these compounds accumulate in fed-batch cultures to only sub­millimolar concentrations, or at most single to low double digit millimolar concen­trations, the compounds had independent and synergistic negative effects on cell growth. When added back to CHO cell cultures as pure chemicals in the ratios and levels to which they accumulate when growth ceases in CHO cell fed-batch culture experiments, the inhibitors could be shown to completely shut down all cell divi­sion. The biochemical pathways which produce the various inhibitors were then investigated and potential strategies for dealing with the most potent inhibitors were devised.
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Many of the more potent inhibitors were found to be by-products of amino acid catabolism. It was found that simply keeping the levels of a number of amino acids below a certain upper threshold level, while simultaneously not allowing them to be completely depleted, could minimize the formation of some inhibitors and enable additional cell growth [42]. However, as with early efforts of cell culture scientists to measure and precisely feed glucose and keep it in a lower range to limit lactate formation, it was realized that other metabolic engineering approaches might be more straightforward and could be implemented across the board for CHO host cell lines. It was realized that three of the inhibitors: isovalerate, 2-methylbutyrate, and isobutyrate, which were primarily formed from leucine, isoleucine, and valine catabolism, respectively, shared the same enzyme at the beginning of their catabolic pathway. Efforts were made to knock out the enzyme—branched chain amino acid transaminase-1, or BCAT1. The resulting CHO cell lines grew to higher cell densi­ties, maintained higher cell viability longer, and when transfected with the appropri­ate genetic elements also produced higher levels of recombinant proteins in fed-batch and perfusion cultures than CHO cells without the knockout [48].
Of course, even fed-batch cultures of these BCAT1 knock out cells eventually reach a peak cell density and cease division. Provided the cultures were appropri­ately fed required nutrients, logically these cultures also stopped division due to some other inhibitory by-products. Further investigation suggested that in CHO cells, missing or low levels of certain enzymes in the catabolic pathway of phenyl­alanine and tyrosine might be leading to the formation of other inhibitory com­pounds. In this case increasing the level of several of these enzymes (and even adding back a co-factor pathway!) reduced the level of the inhibitor production and had the added benet of making the cells no longer require exogenous additions of tyrosine [48].
Our laboratory continues in this effort to determine each inhibitory factor that might be appreciably limiting the maximum cell density reachable in fed-batch cul­tures, or that might require the use of higher levels of perfusion in processes that resort to perfusion to maintain exponential growth. We are currently investigating the implementation of the most benecial and pragmatic metabolism modications directly into the CHO host cell lines used for expression of therapeutic proteins in large-scale production.
G. W. Hiller
4.4 Other Methods ofProcess Intensication
4.4.1 N-1 Perfusion
As was mentioned earlier in this chapter, there are signicant advantages to increas­ing the IVCD, or the area under the curve of a viable cell density versus time graph. This is because cells act as the workhorses, catalyzing the conversion of the amino acids into the polymer, which is the protein therapeutic. Provided that specic pro­ductivity is maintained appropriately, more cells equal more stuff. The working
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volume and efcient utilization of the production bioreactor are typically the prin­cipal limiting factor that determines the overall annual productivity of any manufac­turing facility. Therefore, there is incentive to have that vessel lled with the highest density of healthy cells at all times. Any time used during the expansion of the cell mass in the production bioreactor is potentially wasted time. With this in mind it is logical to minimize the time in the production bioreactor during which the cells are dividing. N-1 (or seed bioreactor) perfusion can help to achieve this.
For reasons discussed earlier, perfusion allows for the maintenance of a much higher number of cells in a bioreactor when compared with simple batch or fed batch. When large volumes of media are perfused through a cell mass that is retained within the bioreactor by a cell retention device, very high cell densities can be achieved. However, there are limits to the practicality of N-1 perfusion. At cell den­sities above 100 × 106 cell/mL the properties of the uid can begin to change merely due to the fact that a signicant fraction of the uid is occupied by cells [8]. Viscosities can signicantly increase making it difcult to move cells in and out of a cell retention lter, particularly if a vacuum diaphragm pump is being utilized for generating such ow. The cell retention lters can also reach the limits of ltration capacity, though this is mitigated to some extent by the fact that the rapidly dividing cell mass of an N-1 bioreactor is typically at very high viability. At extremely high viable cell densities, oxygen transfer in, and carbon dioxide removal from the bio­reactor can become problematic, particularly when foaming starts to occur. Interruptions to gas supply in such cultures can drop the dissolved oxygen to near undetectable levels within less than a minute.
Most large-scale mammalian cell culture manufacturing facilities use a 1:5 vol­ume ratio for each step of their scale up train, and this also typically includes the nal seed bioreactor. If we assume for the moment that 100 × 106 cell/mL is a rea­sonable practical limit for the maximum density achievable in the N-1 seed bioreac­tor, that means that the maximum inoculation density in the production bioreactor would be about 20 × 106 cell/mL, or slightly higher as 20–30% of the volume of the production bioreactor must be left available for the fed-batch feeds that will occur later. If the N-1 bioreactor were instead merely a batch or fed-batch bioreactor the maximum inoculation density of the production bioreactor might be closer to 1 or 2 × 106 cell/mL which is more typical of platform cell culture processes today. As exponential growth doubling times are only around 24hours for mammalian cell, a 20 × 106 cell/mL inoculation coming from an N-1 culture using perfusion could potentially shave three to 4 days off the typical 12–18-day length of a production bioreactor operating in fed-batch mode and still yield equivalent or higher titers [49, 50].
4.4.2 N-1 Intensication
N-1 perfusion is the extreme example of N-1 intensication to enable higher pro­duction bioreactor inoculations, but a well-managed N-1 fed-batch culture can also provide sufcient cells to accelerate the production bioreactor. The key here is to
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provide cells that have not overgrown and are therefore not likely to suffer a lag in the production bioreactor. The HiPDOG glucose limiting strategy has been shown to accomplish this for N-1 cultures [23], but any technique that reduces the forma­tion of growth inhibitors, such as those that were discussed in the earlier sections of this chapter, will also serve the same purpose provided the method does not overly extend the length of the N-1 culture.
4.4.3 Linked Bioreactors
In the last section we investigated and demonstrated the logic of increasing the inoculation density of the production bioreactor. If one follows this to the extreme, we see the value in having the production bioreactor at the highest viable cell den­sity possible all the time. There are practical limits to the length of a fed-batch bio­reactor operation as we explored in the section on fed batch. Briey revisiting, anything the cells produce (including all waste products) remains in the culture, as does anything fed to the culture but not consumed by the cells. In addition, dying cells can release the contents of their cytoplasm and various organelles to the culture milieu. Depending upon the stability of the protein product, 10–18days in such a mixture of various enzymes and cellular components might be problematic to prod­uct quality. Quiescent cells also have limits to their ability to withstand deteriorating culture conditions as waste products accumulate and the osmotic strength of the culture continuously increases. Late in a deteriorating culture, cells also sometimes revert to a more glycolytic metabolism leading to increases in lactate and sometimes also in ammonium. Lower viability cells are also more likely to truncate the glyco­sylation process resulting in product material with lower levels of sialylation, less terminal galactosylation, and increased levels of high mannose species. In short…things go bad when the cells get tuckered out!
We noted earlier that the commonly observed phenomenon that cells with low or near zero growth rates also tend to have higher per cell, or specic productivities. Also, the optimum conditions for cell division might not be the optimum conditions for the production of the protein, especially if it is found that some particular prod­uct quality parameter can best be optimized at an extreme of the normal growth range (pH or temperature for instance). While we can certainly change conditions post-growth phase in a fed-batch production bioreactor, it may take cells time to adapt to the new conditions and some signicant fraction of product will be pro­duced during the growth phase under the unfavorable environmental parameter for product quality.
Some of the above, long recognized limitations of fed-batch culture might be mitigated by completely separating the growth and production phases that usually occur in the production bioreactor. This can be achieved by linking two bioreactors together in continuous operation. The N-1 bioreactor continuously supplies cells dividing near the maximum growth rate to a production bioreactor where conditions are more conducive to a low-growth but highly productive, somewhat quiescent
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state. The cells entering the production CSTR (continuous-ow stirred-tank reactor) perhaps undergo one more division (recall the “division momentum” mentioned in an earlier section) before adapting to the production bioreactor conditions which are optimal for protein production. While certainly a more complex operation, such a linked bioreactor system can be very productive.
The simplest version of such a linked bioreactor system would be a pair of cas­cading CSTR’s or chemostats [51]. If one were to make use of most existing large­scale cell culture facilities this would generally mean a 1–5, or 1–10 volume ratio of the N-1 to production bioreactor. The cascading CSTR system, however, suffers from the fact that the maximum dilution rate of the N-1 bioreactor is limited to the washout dilution rate, which for mammalian cells is not much above 1/day or 1 VVD.Even near that washout dilution rate the cell density in the N-1 would be low and the overall number of cells per unit time delivered to the production bioreactor would be low. Cells in an N-1 bioreactor operating at dilution rates much below the washout rate would by default be growing slower, and therefore on average less likely to continue division when transferred to the production bioreactor. So, we see that the N-1 operating as a CSTR signicantly restricts the operating parameters and therefore the number of cells the bioreactor can produce per day. Introducing perfusion/cell retention in the N-1 removes this constraint and allows for high per­fusion rates, very high growth rates, and enormous quantities of cells for transfer to the production reactor. If the production bioreactor then operates as a simple CSTR or chemostat (no cell retention), with additional nutrients added directly to it, volu­metric productivities approaching or exceeding those in a stand-alone continuous perfusion bioreactor, ~1g/L/d, may be achieved [52]. In such a system, the addi­tional complexity of requiring a cell retention system on the largest vessel, the pro­duction bioreactor, is eliminated. Such a linked-bioreactor system could deliver harvest (containing whole cell culture) continuously to a suitably designed continu­ous downstream operation, or could even be cycled slightly in working volume, allowing bolus harvests to be taken once a day or once per 2 days.
To be efcient, a linked-bioreactor system must reach a high-productivity steady state quickly. It is therefore important in this reactor conguration not to overshoot the sustainable cell density as this could lead to a loss of cell viability. Getting to the highest productivity state might take additional time when compared to a standard fed-batch culture as the cells in the production bioreactor need to adapt to the condi­tions that are ultimately controlled by the dilution rate and rate of addition of cells and nutrients. To be a practical way to produce protein, and to demonstrate the advantage over fed-batch, a linked-bioreactor system would need to be operated for a comparatively long period of time; at least several weeks and perhaps ideally con­tinuously for several months. At rst glance, this may present a problem as geneti­cally engineered cells have varying degrees of genotypic stability for production of the recombinant protein. The limit of such genotypic stability is generally demon­strated for any industrial cell culture process when the “limit of in vitro cell age” or LIVCA study is performed to determine how often a production facility needs to return to the working or master cell banks to expand cells for additional production batches.
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The potential longevity of the linked culture system was demonstrated in our labs with the continuous operation of a linked-bioreactor system for over 80days [52]. Additionally, it was established that the N-1 bioreactor (and ultimately the produc­tion bioreactor) could be “refreshed” by expanding again from frozen vials using a second parallel or twin N-1 bioreactor and switching the stream of cells entering the production bioreactor from the N-1 bioreactor containing the “old” cells to that containing the “new” cells. Performed correctly, it was shown that the viable cell density and volumetric productivity of the production bioreactor can remain nearly constant through this transition. This allows for the production bioreactor to operate nearly indenitely in a very high volumetric productivity steady state, with a regu­larly “rejuvenated” set of cells (if only this could be replicated for humans!) produc­ing product continuously with nearly identical product quality parameters. Since cells in the production bioreactor CSTR divide much slower than those in the N-1 culture, cells in the production CSTR that have accrued a larger number of genera­tions are washed out of the system over time at a rate that depends upon the dilution rate of the production bioreactor among other factors.
The linked-bioreactor system just described provides volumetric productivities approximately double that of an optimized fed-batch process, and nearly as high as a stand-alone steady-state perfusion bioreactor, without the need for perfusion in the production bioreactor. This may decrease the size of the cell retention system by a factor of ve or perhaps ten. For high demand products, production bioreactors in mammalian cell culture facilities are often in the 13,000-L working volume range, meaning that the N-1 reactor might be 2500 or perhaps as small as 1000-L working volume. Still, performing long term consistent perfusion using conventional micro­ltration methods at such a scale might give some cell culture engineers nightmares.
4.4.4 Hydrocyclone Use withLinked Bioreactors
As mentioned earlier in this chapter in the section on perfusion, a great many clever cell retention devices have been developed over the past few decades but scale up for use on mammalian cells in suspension in bioreactors in the 1000L range of any but the microltration methods have been particular problematic. Long used in microbial culture harvest and in mining and oil extraction industries, one cell reten­tion system that seemed particularly promising for scale up was the hydrocyclone [53, 54]. While early experiments suggested that mammalian cells could withstand the very high shear forces generated as cells passed through a hydrocyclone [55], generally their use for cell retention in mammalian cell culture did not catch on widely, with very few mentions in the literature throughout 2005–2020. This may be because while highly viable cells dividing at near exponential growth rates might be able to withstand the shear forces, cells in perfusion production bioreactors are often not growing quickly because conditions that favor fast growth often cause per cell productivity to be lower. Alternatively, if used for an N-1 perfusion culture for the generation of large amounts of cells for a single inoculation of a production
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bioreactor, hydrocyclones also suffer when compared with membrane cell retention devices due to their somewhat low separation efciency. As a result, it might take several additional days for an N-1 perfusion bioreactor using a hydrocyclone to reach a sufciently high cell density to inoculate a production bioreactor at high density. Finally, while running multiple hydrocyclones in series might seem like a method to increase the efciency of the cell separation, the additional pressure drop required might prove too extreme of a shear environment for mammalian cells to survive.
While hydrocyclones have the benet of being very unlikely to plug with cell debris, even fairly optimized geometry hydrocyclones lose too many cells to the perfusion stream. The additional signicant advantage of the hydrocyclone, its scale-up capacity, could even be considered a disadvantage as scaling down a hydro­cyclone for use in bench scale bioreactors is problematic. The best way to scale down a hydrocyclone is merely to turn it on and off periodically by stopping the pump that delivers cell culture uid to it. When running continuously, a hydrocy­clone the size of a 50-mL centrifuge tube is sufcient to process ~500L of cell culture uid a day.
Understanding the limitations of hydrocyclones—low efciency and high shear forces making them suitable only for high viability and shear resistant cells—our laboratory experimented with their use as a cell retention device in the linked biore­actor system [56]. In this system, cells in the N-1 bioreactor were typically dividing at near exponential growth rates, and the overow uid from the hydrocyclone (the permeate uid that had reduced numbers of cells) could be used as the cell source for the continuously linked production bioreactor operating as a CSTR. In this highly specialized use, the hydrocyclone was nearly ideal as it would not plug, and a pair of 3-D printed then autoclaved hydrocyclones operating in parallel, fed by a single high-ow pump, could be shown to be sufcient to perfuse a 1000-L N-1 bioreactor at 1 VVD.Coupled with a production bioreactor operating as a CSTR with a working volume of 10,000 to possibly 13,000L the system could achieve volumetric productivities near those of the linked system using a microltration membrane for N-1 perfusion, ~1g/L/day [52].

4.5 Process Analytical Technology

Process analytical technology is fancy terminology that merely describes sensors for the continuous monitoring and control of parameters such as dissolved oxygen, pH, and temperature that have been in place on bioreactors for many decades. New sensors are always being developed, some of which may have pragmatic applica­tions, while others seem to be searching about for practical value. Dissolved carbon dioxide probes, conductivity or capacitance probes for cell density approximation, and foam sensors are certainly of increased value as mammalian cell culture pro­cesses continue to be intensied.
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The reliability, accuracy, and durability of dissolved carbon dioxide probes have certainly improved in recent years; however, it should be mentioned that extreme accuracy is not necessary for a carbon dioxide probe to yield valuable information. High intensity cultures with very high oxygen demands that often require use of pure oxygen and small bubble generating sparge elements can frequently suffer from high levels of dissolved carbon dioxide. Allowing the level of dissolved carbon dioxide to rise above approximately 12% of saturation can slow cell growth, and in some cases affect product quality parameters [28, 57]. While the two parameters, oxygen delivery and carbon dioxide removal, are certainly closely interlinked, large scale operations with highly intensied processes at our facilities have found it practical to independently control these parameters. Dissolved oxygen is controlled via the delivery of tiny pure oxygen bubbles from suitable spargers. Dissolved car­bon dioxide is continuously measured using an in situ probe and is maintained below a target high-end setpoint by sparging either air or pure oxygen through sparge elements that deliver large volumes of gas and generate larger bubbles than those used exclusively for oxygen delivery.
If they make it to the surface without completely dissolving, the high efciency oxygen transfer afforded by small bubbles of pure oxygen also can create a very stable foam layer, particularly in a culture with high cell densities and high levels of dissolved protein. Cell entrapment into foam has long been identied as potential source of high shear forces capable of killing cells as the bubbles burst [58]. Additionally, if allowed to reach the vent lter such foam can quickly plug vent lters, increase bioreactor hydrostatic pressure, and greatly restrict the ability to continue to sparge the bioreactor. Many forms of foam sensors are available from various industrial processes, but some may be difcult to implement in an aseptic fashion, particularly on the many single-use bioreactor designs being adopted today. Our pilot and large-scale facilities are currently adopting automated control systems with cameras and light strobes that can accurately estimate the foam layer and deliver antifoam as necessary to reduce the likelihood of vent plugging. Such a non­invasive foam control system merely requires a modestly clear window for a view down onto the culture surface.
Conductivity or capacitance probes measure the total volume of cells with intact cell membranes. Generally, this can be closely correlated with the number of viable cells in the culture, at least while the cells are growing quickly [46]. As manual or even computer assisted cell counts performed via automated microscopic methods are subject to signicant variability due sample handling and dilution errors, a capacitance probe can better indicate the true growth rate of the culture. Since even slight changes in growth rate can over time result in signicant differences in cell density, a continuous, precise knowledge of the biomass of a culture can assist in delivering concentrated feeds at appropriate rates to a culture, or assist in control­ling perfusion rates to maintain a constant cell-specic perfusion rate. Unfortunately, later in culture the capacitance probe readings and the actual viable cell density can start to deviate from the strong correlation earlier in the process. This may occur because late in culture sometimes cell size increases without additional division. We
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have found that oxygen consumption rates, or even merely the value of the oxygen delivery rate of a culture that has controlled dissolved oxygen levels can sometimes be used in conjunction with capacitance probe values to estimate the viable cell mass and adjust feeding rates.
In situ, autoclavable probes for Raman spectroscopy can simultaneously collect spectra that can be used to quantitate a whole range of cell culture parameters. Factors such as glucose, lactate, and even certain amino acid concentrations can be correlated to the appropriately analyzed Raman signal; however, the ability to accu­rately determine any of these metabolites at low concentrations (below 3–5mM) is extremely limited [5961]. Also, unfortunately, the Raman calculated value for any of these parameters can be affected by a large number of factors that change through­out the culture. As a result of this, to accurately predict the concentration of a sub­strate or by-product in a culture it may be necessary to go through the somewhat laborious process of creating a large data set of Raman spectra on many bioreactor runs with minor process differences. This “teaching” spectra can be used with an orthogonal method of accurately quantitating the parameter, ultimately generating an algorithm which in the future can be used to calculate the parameter directly from the Raman spectra.
Through the process described above, our laboratory was able to continuously approximate the concentration of both glucose and lactate using Raman spectros­copy [60]. We realized that there could be some value in the number, even if only approximate. We surmised that even knowing the concentration of the value of glu­cose and lactate combined within the range of 1–2g/L could allow us to control the rate of glucose feeding. As mentioned earlier in the section on control of cellular metabolism, during the growth phase if a cell culture becomes limited for glucose it will often begin to consume lactic acid from the culture. So, monitoring the com­bined concentration of glucose and lactate and feeding glucose in an attempt to keep the combined value nearly constant should minimize the formation of lactate. Of course, the same result could be achieved merely using the HiPDOG control strat­egy without all the added Raman correlation experiments; and certainly an auto­clavable pH probe is far less expensive (and nearly ubiquitously implemented) than a Raman probe for every bioreactor. In certain circumstances when the HiPDOG control strategy might be undesirable Raman might prove useful.
Raman might also be utilized to better control in an automated fashion the mass load of antibody to the rst column chromatograph step (e.g., protein A afnity). As part of an integrated downstream purication process, our laboratory is currently evaluating Raman to determine the antibody concentration of permeate leaving the microltration cell retention system of a perfusion bioreactor. Unfortunately, as with other uses of Raman spectroscopy, we have found it may be necessary to gen­erate a complete set of “learning spectra” for each new antibody molecule despite the assumed similar properties that antibodies with only changes to the antigen binding site would have.