designing generic high-yielding processes for gs...

1
INTRODUCTION Mammalian cell lines are widely used by the pharmaceutical industry for the production of therapeutic proteins. The identification of a high producing recombinant mammalian line is a key economic consideration. Over the past few years, we have developed a series of processes for cell lines using the Glutamine Synthetase Gene Expression System (Lonza Biologics) to allow the rapid generation of material for the clinic. These processes, performed in chemically defined and animal component-free (CDACF) medium, were improved to meet ever increasing market demands for high yielding processes. We investigated parameters affecting the growth and productivity of Chinese Hamster Ovary (CHO) cells. Two routes were chosen to improving process productivity: • Increase the time integral of viable cell concentration (IVC) • Increase the specific antibody production rate of the cells (Qp) Furthermore, product quality was profiled during the course of a fermentation using the optimised process to verify that product quality was not compromised through extension of the culture duration. These data were also compared with product quality data from the original process. MATERIALS AND METHODS Cell Lines • LB01 generated by transfecting host cell line CHOK1SV with GS vector encoding the genes for IgG 4 antibody heavy chain and light chain, adapted to growth in CDACF media. Media and Feeds • GS-CHO: CD-CHO from Invitrogen. Proprietary CDACF feeds. Bioreactor Processes • 10 L airlift bioreactors operated with on-line control of dissolved oxygen, temperature and pH. Product concentration was determined by Protein A HPLC. • Product quality was profiled by SDS-PAGE, IEF, MALDI-TOF and tryptic peptide mapping. RESULTS AND DISCUSSION Process Optimisation using pH Drift A model GS-CHO cell line (LB01) was grown at a pH below pH 7.0. Reducing the culture pH increased the culture duration (Figure 1) and IVC (Figure 2). Additionally the Qp was increased throughout the culture resulting in an increased harvest antibody concentration of 4.3 g/L (Figure 2). A reduction in lactate production with a pH drift was also apparent in this optimised process, suggesting a shift in cell metabolism (Figure 3). This reduction in lactate accumulation also provided a further benefit through a significantly decreased need for alkali addition. Designing Generic High-Yielding Processes for GS-CHO Cell Lines M. H. Rendall, A. Maxwell, A. Pham, M.J. Davies and D. O. Mainwaring Lonza Biologics plc, 228 Bath Road, Slough, Berkshire SL1 4DX, UK Figure 1. Profile of cell growth in optimised versus original process for the GS-CHO cell line LB01. Figure 2. Profile of the productivity of the optimised versus original using the GS-CHO cell line LB01. Figure 3. Profile of glucose and lactate of the optimised versus original process using the GS-CHO cell line LB01. Product Quality Profiling In parallel with improvements in growth and productivity of the GS-CHO process, product quality consistency was profiled throughout the extended culture duration of the optimised process. The biochemical characteristics of this antibody were compared at different stages throughout the fermentation process. Biochemical comparability was assessed by SDS-PAGE (Figure 4), IEF (Figure 5), MALDI TOF-MS (Figure 6) and RP HPLC tryptic peptide mapping (Figure 7) of samples purified by Protein A affinity chromatography. Original Process Optimised Process Elapsed Time (h) Lactate Concentration (g/L) 0 1 2 3 4 5 6 7 8 0 48 96 144 192 240 288 336 384 432 480 528 Figure 4. Affect of culture duration on molecular weight of IgG 4 antibody as determined by non-reduced SDS-PAGE of the optimised process. Original process profile also shown for comparison. Banding patterns (Figure 4) observed were consistent throughout the fermentation (day 7 to day 20). A slight increase in the overall proportion of whole antibody was observed over the course of the fermentation, and was associated with a decrease in the levels of half antibody. It is currently unknown why the proportion of half antibody was reduced, or furthermore whether the change was pre- or post-secretion. Figure 5. IEF profiles for an IgG 4 antibody produced by the GS-CHO cell line LB01 between day 9 and day 20 of the fermentation process. The original process IEF profile is also shown for comparison. IEF banding profiles were consistent throughout the fermentation to day 20. Furthermore these profiles are consistent with the original process. Figure 6. MALDI-TOF Oligosaccharide profiles for an IgG 4 antibody produced from the GS-CHO cell line LB01, between day 7 and day 20 of the optimised fermentation process. The antibody glycosylation profiles determined by MALDI-TOF mass spectrometry were predominantly bi-antennary core fucosylated glycans with varying amounts of terminal galactose (G2F, G1F and G0F). A slight decrease in the degree of terminal galactosylation was observed up to day 13, however, this decrease did not exceed the variation observed as part of typical batch to batch variability. The oligosaccharide profiles observed were also comparable to those for the original process (data not shown). It is under investigation why terminal galactose decreased during the fermentation, possible causes included reduced availability of substrate or variation in galactosyltransferase activity. Further manipulation of nutrient feed regimes or the physiochemical environment may be required to modify late culture galactosylation profiles. Figure 7. RP HPLC tryptic peptide map profiles for an IgG 4 produced in the GS-CHO cell line LB01 from day 9 to day 20 of the optimised fermentation. pI Markers Day 9 Day 11 Day 13 Day 15 Day 16 Day 17 Day 18 Day 19 Day 20 Original process Blank pI Markers pI Markers pI Markers 1850 1900 1950 2000 2050 2100 2150 m/z 100 0 100 % 0 100 % 0 100 % AP01040423 7 (0.594) Cm (1:9) TOF LD+ 6.96e3 1485.69 1339.68 1647.78 1527.79 1809.88 AP01040422 4 (0.319) Cm (1:9) TOF LD+ 4.19e3 1485.67 1339.60 1123.82 1647.52 1527.73 1809.82 AP01040421 7 (0.599) Cm (1:9) TOF LD+ 2.56e3 1485.72 1127.10 1283.09 1201.01 1339.65 1647.80 1527.81 1809.94 1689.82 AP01040420 5 (0.348) Cm (1:9) TOF LD+ 9.13e3 1485.67 TOF LD+ 9.56e3 Day 16 Day 17 Day 18 Day 19 Day 20 G0F G1F G1F G2F G0F G1F G2F G0F G1F G2F G0F 1850 1900 1950 2000 2050 2100 2150 m/z TOF LD+ 6.97e3 TOF LD+ 2.08e3 TOF LD+ 5.14e3 1809.76 TOF LD+ 2.88e3 1809.76 TOF LD+ 3.71e3 1809.76 Day 15 Day 13 Day 11 Day 9 Day 7 1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150 m/z 0 100 % 0 100 % 0 100 % 0 100 % 0 100 % AP01040423 7 (0.594) Cm (1:9) TOF LD+ 6.96e3 1485.69 1339.68 1647.78 1527.79 1809.88 AP01040422 4 (0.319) Cm (1:9) TOF LD+ 4.19e3 1485.67 1339.60 1123.82 1647.52 1527.73 1809.82 AP01040421 7 (0.599) Cm (1:9) TOF LD+ 2.56e3 1485.72 1127.10 1283.09 1201.01 1339.65 1647.80 1527.81 1809.94 1689.82 AP01040420 5 (0.348) Cm (1:9) TOF LD+ 9.13e3 1485.67 1339.58 1647.72 1527.71 1809.82 AP01040419 4 (0.317) Cm (1:9) TOF LD+ 9.56e3 1485.61 1339.58 1647.66 1527.62 1809.76 1689.68 Day 16 Day 17 Day 18 Day 19 Day 20 G0F G1F G2F G0F G1F G2F G1F G2F G0F G1F G2F G0F G1F G2F G0F 1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150 m/z 0 100 % 0 100 % 0 100 % 0 100 % 0 100 % AP01040418 1 (0.041) Cm (1:9) TOF LD+ 6.97e3 1485.64 1339.55 1647.69 1527.62 1809.76 1689.77 AP01040417 6 (1.268) Cm (1:9) TOF LD+ 2.08e3 1485.64 1139.30 1339.55 1281.34 1647.72 1527.62 1809.73 1689.79 AP01040416 1 (0.041) Cm (1:9) TOF LD+ 5.14e3 1485.61 1340.54 1178.51 1384.59 1647.69 1527.65 1809.76 1689.71 AP01040415 7 (1.127) Cm (1:9) TOF LD+ 2.88e3 1485.64 1129.861173.871217.96 1339.60 1282.57 1647.69 1527.68 1809.76 1689.77 AP01040414 3 (0.804) Cm (1:9) TOF LD+ 3.71e3 1647.69 1485.64 1340.56 1129.63 1282.55 1527.57 1809.76 1689.74 G0F G0F G0F G0F G0F G1F G1F G1F G1F G1F G2F G2F G2F G2F G2F Day 15 Day 13 Day 11 Day 9 Day 7 Day 16 Day 17 Day 18 Day 19 Day 20 MW Markers Day 7 Day 9 Day 11 Day 13 Day 15 MW Markers Interassay Control Original process MW Markers Interassay Control MW Markers MW Markers RP HPLC tryptic peptide maps were comparable throughout the fermentation, with no new peaks being detected between days and only minor variations in peak intensity being observed. These peptide maps were also comparable to the original process (data not shown). CONCLUSIONS • Increased productivity from mammalian cell cultures requires a combination of highly productive cell lines and fermentation processes that improve both IVC and Qp. Reduction of the culture pH below pH 7.0 was effective as an optimisation strategy since it improved both parameters. • In parallel with process improvement programmes, it is paramount to verify that process changes do not adversely impact product quality. - SDS PAGE and IEF profiles were comparable throughout the fermentation and consistent with the typical profiles for an IgG. - Oligosaccharide profiling of N-glycans indicated a slight decrease in terminal galactose during the early stage of fermentation, however this did not exceed typical acceptable product specification limits and the profiles were comparable across the fermentation and to the original process. - RP HPLC tryptic peptide maps were comparable throughout the fermentation, with no new peaks being detected between days and only minor variations in peak intensity being observed. • In summary, extension of the culture duration in the optimised process did not demonstrate an adverse effect on product quality. • Overall product quality of the optimised process was comparable with the original process. ACKNOWLEDGEMENTS Cell culture process development, Lonza Biologics. Assay development, Lonza Biologics. CORRESPONDENCE [email protected] m 0 20 40 60 80 100 mAU 0 100 200 300 400 DAD1 A, S ig= 210, 4 Ref= 360, 100 (LM 260 204 \00 8- 080 1.D) Day 17 m 0 20 40 60 80 100 mAU 0 100 200 300 400 DAD1 A, S ig= 210, 4 Ref= 360, 100 (LM 260 204 \00 9- 090 1.D) Day 18 m 0 20 40 60 80 100 mAU 0 100 200 300 400 DAD1 A, S ig= 210, 4 Ref= 360, 100 (LM 260 204 \01 0- 100 1.D) Day 19 m 0 20 40 60 80 100 mAU 0 100 200 300 400 DAD1 A, S ig= 210, 4 Ref= 360, 100 (LM 260 204 \01 1- 110 1.D) Day 20 0 20 40 60 80 100 120m 0 DAD1 A, Sig=210,4 Ref=360,100 (LM260204\003-0301.D) Day 9 0 20 40 60 80 100 120m 0 200 DAD1 A, Sig=210,4 Ref=360,100 (LM260204\004-0401.D) Day 11 0 20 40 60 80 100 120m 0 200 DAD1 A, Sig=210,4 Ref=360,100 (LM260204\005-0501.D) Day 13 0 20 40 60 80 100 120m 0 200 DAD1 A, Sig=210,4 Ref=360,100 (LM260204\006-0601.D) Day 15 0 20 40 60 80 100 120m mAU 0 200 DAD1 A, Sig=210,4 Ref=360,100 (LM260204\007-0701.D) Day 16 200 mAU mAU mAU mAU 0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 0 500 1000 1500 2000 2500 3000 3500 4000 Time Integral of Viable Cell Concentration (10 9 cell h/L) Product Concentration (mg/L) Original Process Optimised Process Elapsed Time (h) Viable Cell Concentration (10 6 /mL) Original Process Optimised Process 0.1 1.0 10.0 100.0 0 48 96 144 192 240 288 336 384 432 480 528

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INTRODUCTION

Mammalian cell lines are widely used by the pharmaceutical industry for the production of therapeutic proteins. The identification of a high producing recombinant mammalian line is a key economic consideration.

Over the past few years, we have developed a series of processes for cell lines using the Glutamine Synthetase Gene Expression System (Lonza Biologics) to allow the rapid generation of material for the clinic. These processes, performed in chemically defined and animal component-free (CDACF) medium, were improved to meet ever increasing market demands for high yielding processes. We investigated parameters affecting the growth and productivity of Chinese Hamster Ovary (CHO) cells.

Two routes were chosen to improving process productivity:

• Increase the time integral of viable cell concentration (IVC)

• Increase the specific antibody production rate of the cells (Qp)

Furthermore, product quality was profiled during the course of a fermentation using the optimised process to verify that product quality was not compromised through extension of the culture duration. These data were also compared with product quality data from the original process.

MATERIALS AND METHODSCell Lines• LB01 generated by transfecting host cell line CHOK1SV with GS vector encoding the

genes for IgG4 antibody heavy chain and light chain, adapted to growth in CDACF media.

Media and Feeds• GS-CHO: CD-CHO from Invitrogen.• Proprietary CDACF feeds.

Bioreactor Processes• 10 L airlift bioreactors operated with on-line control of dissolved oxygen, temperature and

pH.• Product concentration was determined by Protein A HPLC.• Product quality was profiled by SDS-PAGE, IEF, MALDI-TOF and tryptic peptide mapping.

RESULTS AND DISCUSSIONProcess Optimisation using pH DriftA model GS-CHO cell line (LB01) was grown at a pH below pH 7.0. Reducing the culture pH increased the culture duration (Figure 1) and IVC (Figure 2). Additionally the Qp was increased throughout the culture resulting in an increased harvest antibody concentration of 4.3 g/L (Figure 2). A reduction in lactate production with a pH drift was also apparent in this optimised process, suggesting a shift in cell metabolism (Figure 3). This reduction in lactate accumulation also provided a further benefit through a significantly decreased need for alkali addition.

Designing Generic High-Yielding Processes for GS-CHO Cell LinesM. H. Rendall, A. Maxwell, A. Pham, M.J. Davies and D. O. Mainwaring

Lonza Biologics plc, 228 Bath Road, Slough, Berkshire SL1 4DX, UK Figure 1. Profile of cell growth in optimised versus original process for the

GS-CHO cell line LB01.

Figure 2. Profile of the productivity of the optimised versus original using the GS-CHO cell line LB01.

Figure 3. Profile of glucose and lactate of the optimised versus original process using the GS-CHO cell line LB01.

Product Quality Profiling

In parallel with improvements in growth and productivity of the GS-CHO process, product quality consistency was profiled throughout the extended culture duration of the optimised process. The biochemical characteristics of this antibody were compared at different stages throughout the fermentation process. Biochemical comparability was assessed by SDS-PAGE (Figure 4), IEF (Figure 5), MALDI TOF-MS (Figure 6) and RP HPLC tryptic peptide mapping (Figure 7) of samples purified by Protein A affinity chromatography.

Original Process Optimised Process

Elapsed Time (h)

Lact

ate

Conce

ntr

ation (

g/L

)

0

1

2

3

4

5

6

7

8

0 48 96 144 192 240 288 336 384 432 480 528

Figure 4. Affect of culture duration on molecular weight of IgG4 antibody as determined by non-reduced SDS-PAGE of the optimised process. Original process profile also shown for comparison.

Banding patterns (Figure 4) observed were consistent throughout the fermentation (day 7 to day 20). A slight increase in the overall proportion of whole antibody was observed over the course of the fermentation, and was associated with a decrease in the levels of half antibody. It is currently unknown why the proportion of half antibody was reduced, or furthermore whether the change was pre- or post-secretion.

Figure 5. IEF profiles for an IgG4 antibody produced by the GS-CHO cell line LB01 between day 9 and day 20 of the fermentation process. The original process IEF profile is also shown for comparison.

IEF banding profiles were consistent throughout the fermentation to day 20. Furthermore these profiles are consistent with the original process.

Figure 6. MALDI-TOF Oligosaccharide profiles for an IgG4 antibody produced from the GS-CHO cell line LB01, between day 7 and day 20 of the optimised fermentation process.

The antibody glycosylation profiles determined by MALDI-TOF mass spectrometry were predominantly bi-antennary core fucosylated glycans with varying amounts of terminal galactose (G2F, G1F and G0F). A slight decrease in the degree of terminal galactosylation was observed up to day 13, however, this decrease did not exceed the variation observed as part of typical batch to batch variability. The oligosaccharide profiles observed were also comparable to those for the original process (data not shown). It is under investigation why terminal galactose decreased during the fermentation, possible causes included reduced availability of substrate or variation in galactosyltransferase activity. Further manipulation of nutrient feed regimes or the physiochemical environment may be required to modify late culture galactosylation profiles.

Figure 7. RP HPLC tryptic peptide map profiles for an IgG4 produced in the GS-CHO cell line LB01 from day 9 to day 20 of the optimised fermentation.

pI

Mark

ers

Day

9

Day

11

Day

13

Day

15

Day

16

Day

17

Day

18

Day

19

Day

20

Origin

al

pro

ces s

Bla

nkpI

Mark

er s pI

Mark

ers pI

Mark

er s

1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150m/z0

100

%

0

100

%

0

100

%

0

100

%

0

100

%

AP01040423 7 (0.594) Cm (1:9) TOF LD+ 6.96e31485.69

1339.68

1647.78

1527.79 1809.88

AP01040422 4 (0.319) Cm (1:9) TOF LD+ 4.19e31485.67

1339.601123.82

1647.52

1527.73 1809.82

AP01040421 7 (0.599) Cm (1:9) TOF LD+ 2.56e31485.72

1127.10 1283.091201.01 1339.65

1647.80

1527.81 1809.941689.82

AP01040420 5 (0.348) Cm (1:9) TOF LD+ 9.13e31485.67

1339.58

1647.72

1527.71 1809.82

AP01040419 4 (0.317) Cm (1:9) TOF LD+ 9.56e31485.61

1339.58

1647.66

1527.62 1809.761689.68

Day 16

Day 17

Day 18

Day 19

Day 20

G0F G1FG2F

G0F G1FG2F

G1F G2F

G0F G1FG2F

G0F G1FG2F

G0F

1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150m/z0

100

%

0

100

%

0

100

%

0

100

%

0

100

%

AP01040418 1 (0.041) Cm (1:9) TOF LD+ 6.97e31485.64

1339.55

1647.69

1527.62 1809.761689.77

AP01040417 6 (1.268) Cm (1:9) TOF LD+ 2.08e31485.64

1139.30 1339.551281.34

1647.72

1527.62 1809.731689.79

AP01040416 1 (0.041) Cm (1:9) TOF LD+ 5.14e31485.61

1340.541178.51 1384.59

1647.69

1527.651809.76

1689.71

AP01040415 7 (1.127) Cm (1:9) TOF LD+ 2.88e31485.64

1129.861173.871217.96 1339.601282.57

1647.69

1527.681809.76

1689.77

AP01040414 3 (0.804) Cm (1:9) TOF LD+ 3.71e31647.69

1485.64

1340.561129.63 1282.55 1527.57

1809.76

1689.74

G0F

G0F

G0F

G0F

G0F

G1F

G1F

G1F

G1F

G1F

G2F

G2F

G2F

G2F

G2F

Day 15

Day 13

Day 11

Day 9

Day 7

1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150m/z0

100

%

0

100

%

0

100

%

0

100

%

0

100

%

AP01040423 7 (0.594) Cm (1:9) TOF LD+ 6.96e31485.69

1339.68

1647.78

1527.79 1809.88

AP01040422 4 (0.319) Cm (1:9) TOF LD+ 4.19e31485.67

1339.601123.82

1647.52

1527.73 1809.82

AP01040421 7 (0.599) Cm (1:9) TOF LD+ 2.56e31485.72

1127.10 1283.091201.01 1339.65

1647.80

1527.81 1809.941689.82

AP01040420 5 (0.348) Cm (1:9) TOF LD+ 9.13e31485.67

1339.58

1647.72

1527.71 1809.82

AP01040419 4 (0.317) Cm (1:9) TOF LD+ 9.56e31485.61

1339.58

1647.66

1527.62 1809.761689.68

Day 16

Day 17

Day 18

Day 19

Day 20

G0F G1FG2F

G0F G1FG2F

G1F G2F

G0F G1FG2F

G0F G1FG2F

G0F

1150 1200 1250 1300 1350 1400 1450 1500 1550 1600 1650 1700 1750 1800 1850 1900 1950 2000 2050 2100 2150m/z0

100

%

0

100

%

0

100

%

0

100

%

0

100

%

AP01040418 1 (0.041) Cm (1:9) TOF LD+ 6.97e31485.64

1339.55

1647.69

1527.62 1809.761689.77

AP01040417 6 (1.268) Cm (1:9) TOF LD+ 2.08e31485.64

1139.30 1339.551281.34

1647.72

1527.62 1809.731689.79

AP01040416 1 (0.041) Cm (1:9) TOF LD+ 5.14e31485.61

1340.541178.51 1384.59

1647.69

1527.651809.76

1689.71

AP01040415 7 (1.127) Cm (1:9) TOF LD+ 2.88e31485.64

1129.861173.871217.96 1339.601282.57

1647.69

1527.681809.76

1689.77

AP01040414 3 (0.804) Cm (1:9) TOF LD+ 3.71e31647.69

1485.64

1340.561129.63 1282.55 1527.57

1809.76

1689.74

G0F

G0F

G0F

G0F

G0F

G1F

G1F

G1F

G1F

G1F

G2F

G2F

G2F

G2F

G2F

Day 15

Day 13

Day 11

Day 9

Day 7

Day

16

Day

17

Day

18

Day

19

Day

20

MW

Mark

ers

Day

7

Day

9

Day

11

Day

13

Day

15

MW

Mark

ers

Inte

rass

ay

Contr

ol

Origin

al

pro

cess

MW

Mark

ers

Inte

rass

ay

Contr

ol

MW

Mark

ers

MW

Mark

ers

RP HPLC tryptic peptide maps were comparable throughout the fermentation, with no new peaks being detected between days and only minor variations in peak intensity being observed. These peptide maps were also comparable to the original process (data not shown).

CONCLUSIONS• Increased productivity from mammalian cell cultures requires a combination of highly

productive cell lines and fermentation processes that improve both IVC and Qp. Reduction of the culture pH below pH 7.0 was effective as an optimisation strategy since it improved both parameters.

• In parallel with process improvement programmes, it is paramount to verify that process changes do not adversely impact product quality.- SDS PAGE and IEF profiles were comparable throughout the fermentation and consistent

with the typical profiles for an IgG. - Oligosaccharide profiling of N-glycans indicated a slight decrease in terminal galactose

during the early stage of fermentation, however this did not exceed typical acceptable product specification limits and the profiles were comparable across the fermentation and to the original process.

- RP HPLC tryptic peptide maps were comparable throughout the fermentation, with no new peaks being detected between days and only minor variations in peak intensity being observed.

• In summary, extension of the culture duration in the optimised process did not demonstrate an adverse effect on product quality.

• Overall product quality of the optimised process was comparable with the original process.

ACKNOWLEDGEMENTSCell culture process development, Lonza Biologics.Assay development, Lonza Biologics.

[email protected]

m0 20 40 60 80 100

mAU

0

100

200

300

400

DAD1 A, Sig= 210, 4 Ref= 360, 100 (LM260204\008-0801.D)

Day 17

m0 20 40 60 80 100

mAU

0

100

200

300

400

DAD1 A, Sig= 210, 4 Ref= 360, 100 (LM260204\009-0901.D)

Day 18

m0 20 40 60 80 100

mAU

0

100

200

300

400

DAD1 A, Sig= 210, 4 Ref= 360, 100 (LM260204\010-1001.D)

Day 19

m0 20 40 60 80 100

mAU

0

100

200

300

400

DAD1 A, Sig= 210, 4 Ref= 360, 100 (LM260204\011-1101.D)

Day 20

0 20 40 60 80 100 120m0

DAD1 A, Sig=210,4 Ref=360,100 (LM260204\003-0301.D)

Day 9

0 20 40 60 80 100 120m0

200

DAD1 A, Sig=210,4 Ref=360,100 (LM260204\004-0401.D)

Day 11

0 20 40 60 80 100 120m0

200

DAD1 A, Sig=210,4 Ref=360,100 (LM260204\005-0501.D)

Day 13

0 20 40 60 80 100 120m0

200

DAD1 A, Sig=210,4 Ref=360,100 (LM260204\006-0601.D)

Day 15

0 20 40 60 80 100 120m

mAU

0

200

DAD1 A, Sig=210,4 Ref=360,100 (LM260204\007-0701.D)Day 16

200

mAU

mAU

mAU

mAU

0

500

1000

1500

2000

2500

3000

3500

4000

4500

5000

0 500 1000 1500 2000 2500 3000 3500 4000

Time Integral of Viable Cell Concentration (109 cell h/L)

Pro

duct

Conce

ntr

ation (

mg/L

)

Original Process Optimised Process

Elapsed Time (h)

Via

ble

Cel

l Conce

ntr

atio

n (

10

6 /m

L)

Original Process Optimised Process

0.1

1.0

10.0

100.0

0 48 96 144 192 240 288 336 384 432 480 528