Hans de Hoog
DOE case: Virus concentration
Intervet-SP Animal Health, Boxmeer
Presentation outline
•
Introduction Intervet SPAH
•
Case study, part 1
PEG precipitation
•
Case study, part 2
buffer optimisation
•
DOE
design and analysis
•
Conclusions
Intervet Schering-Plough Animal Health
We develop, manufacture and market a broad range of veterinary medicines
and services for the prevention, treatment and control of disease in all major
farm and companion animal species.
Products:
• Vaccines
• Pharmaceuticals (anti-infectives, anti-paracitic, fertility treatment)
• Innovative animal health programs
Viral-Bioprocess Technology & Support (BTS-V)
Research
Production
Trouble shooting
‘Best of both worlds’
BTS-V
Production systems
Bioreactor
(2-2000L)
Roller bottles
(max. 2000/batch)
Cell factories
Bioreactors
2-2000L
Case study: objective
•
Virus concentration (and purification)
•
Current yield 100 AU/ml
request 400
target 1000
AU/ml
Part 1, PEG precipitation
•
Use of Polyethylene Glycol (PEG) for precipitation
Results
•
Factors tested: [PEG], chain length, [salt], chloroform, pH,
solubilisation medium
•
Method: screening designs (FFD, data not shown)
•
Important factors found: [PEG], [salt] and pH
•
Recovery antigenic mass >80%
•
Protein loss (purification)
±
85%
Part 2: Solubilisation buffer
•
DOE
optimisation of factors Phosphate, NaCl, Surfactant and pH
•
Model choice
Central Composite Design, 28 runs
•
Measurement of yield (AM recovery) and protein removal (%)
•
Factor levels
Factor
Level
Log2
Phosphate (Molar)
0.2
-2.32
0.1
-3.32
0.05
-4.32
level
Log5
Surfactant (%)
0.25
-0.86
0.05
-1.86
0.01
-2.86
level
linear
NaCl (Molar)
0.1
-0.25
Importance of randomisation
Design-Expert® Software
Antig. Mass
Color points by value of
Antig. Mass:
1264.5
111.3
Run Number
Int
er
nal
ly
S
tudent
iz
ed
R
es
idual
s
Residuals vs. Run
-3.00 -1.50 0.00 1.50 3.00
1 5 9 13 17 21 25 29 33
Run
1st
2nd
Difference
1
1094
869
21%
2
1145
859
25%
3
1139
943
17%
4
1265
872
31%
5
671
510
24%
6
1058
812
23%
7
1146
993
13%
8
1239
964
22%
9
1038
731
30%
10
1125
825
27%
11
1166
800
31%
Design-Expert® Software
AM
Color points by value of
AM:
1037.8
111.3
Run Number
Int
er
nal
ly
S
tudent
iz
ed
R
es
idual
s
Residuals vs. Run
-3.00 -1.50 0.00 1.50 3.00
1 5 9 13 17 21 25 29 33
ANOVA, AM recovery
Sum of Mean F p-value Source Squares df Square Value Prob > F
Model 14113 10 1411.2997 7.729798 < 0.0001 A-Phosphate 5436.178 1 5436.1780 29.77437 < 0.0001 B-NaCl 1867.749 1 1867.7489 10.22981 0.0043
C-Surfactant 210.8175 1 210.8175 1.154664 0.2948
D-pH 4654.272 1 4654.2718 25.49181 < 0.0001
AB 409.5364 1 409.5364 2.243063 0.1491 AC 682.6782 1 682.6782 3.739081 0.0667
AD 1300.193 1 1300.1930 7.121258 0.0144
BC 24.71399 1 24.7140 0.13536 0.7166
BD 994.5617 1 994.5617 5.447292 0.0296
CD 2.121853 1 2.1219 0.011622 0.9152 Residual 3834.161 21 182.5791
Lack of Fit 1593.684 13 122.5911 0.437732 0.9106 Pure Error 2240.478 8 280.0597
Cor Total 17947.16 31
Std. Dev. 13.51218 R-Squared 0.7864 Mean 70.24374 Adj R-Squared 0.6846 C.V. % 19.23614 Pred R-Squared 0.4997 PRESS 8978.401 Adeq Precision 11.6006
Perturbation plot
Design-Expert® Software
AM recovery
AM recovery
Actual Factors
A: Phosphate = -3.34
B: NaCl = 0.25
C: Surfactant = -1.84
D: pH = 7.00
Perturbation
Deviation from Reference Point (Coded Units)
A
M
r
ec
ov
er
y
-1.000 -0.500 0.000 0.500 1.000 11.0 34.3 57.5 80.8 104.0
A
A
B
B
C
C
D
D
Response surface plot
Design-Expert® Software
AM recovery
Design Points
103.784
11.1327
X1 = A: Phosphate
X2 = D: pH
Actual Factors
B: NaCl = 0.25
C: Surfactant = -1.84
-4.32 -3.83 -3.34 -2.84 -2.35 6.50 6.75 7.00 7.25 7.50
AM recovery
A: Phosphate
D:
p
H
40.0 45.0 50.0 55.0 60.0 65.0 70.0 75.0 80.0 85.0 5Response surface plot
Design-Expert® Software
AM recovery
Design Points
103.784
11.1327
X1 = A: Phosphate
X2 = C: Surfactant
Actual Factors
B: NaCl = 0.10
D: pH = 6.50
-4.32 -3.83 -3.34 -2.84 -2.35 -2.82 -2.33 -1.84 -1.35 -0.86
AM recovery
A: Phosphate
C
:
S
ur
fac
tant
75.0 80.0 85.0 90.0 2 2ANOVA, Ratio AM/protein
Sum of Mean F p-value Source Squares df Square Value Prob > F
Model 1.090605 9 0.12117837 6.730271 0.0001 A-Phosphate 0.133851 1 0.133850722 7.434096 0.0123
B-NaCl 0.045457 1 0.045456573 2.524667 0.1263
C-Surfactant 0.162942 1 0.16294154 9.049806 0.0065 D-pH 0.421704 1 0.421704353 23.42154 < 0.0001
AB 0.049252 1 0.049251778 2.735454 0.1123 AC 0.038973 1 0.038973129 2.164575 0.1554 AD 0.06841 1 0.068409857 3.799497 0.0641
BD 0.132099 1 0.132098972 7.336804 0.0128 A^2 0.080628 1 0.080627566 4.478071 0.0459
Residual 0.396109 22 0.018004976
Lack of Fit 0.209482 14 0.014962965 0.641403 0.7767 Pure Error 0.186628 8 0.023328495
Cor Total 1.486715 31
Std. Dev. 0.134183 R-Squared 0.7336 Mean 0.680897 Adj R-Squared 0.6246 C.V. % 19.70674 Pred R-Squared 0.4391 PRESS 0.833854 Adeq Precision 11.5939
Response surface plot
Design-Expert® Software
Ratio AM/Protein
Design Points
1.01845
0.146601
X1 = A: Phosphate
X2 = D: pH
Actual Factors
B: NaCl = 0.10
C: Surfactant = -0.86
-4.32 -3.83 -3.34 -2.84 -2.35 6.50 6.75 7.00 7.25 7.50