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The life science business of Merck KGaA,
Darmstadt, Germany operates as
MilliporeSigma in the U.S. and Canada.
PARVOVIRUS
FILTRATION BEST
PRACTICIES
Paul Genest
Applications Engineer,
BioPharm Center of Excellence - Innovation + Influence = Impact
25 YEARS OF HANDS-ON EXPERIENCE
The life science business
of Merck KGaA, Darmstadt,
Germany operates as
MilliporeSigma in the U.S.
and Canada
3
Paul Genest
Applications Engineering
(25 years in industry)
B.S. Chemical Engineering, UNH, 1994
M.S. Chemical Engineering, UNH, 1996
No. 1 Goal = Optimized Performance and
Trouble-free Operation
Agenda
1
2
3
How to measure virus filter
capacity performance?
What are the operating
parameters that impact virus
filter capacity performance?
What is the best way to size
virus filters during PD?
4
5
What is the virus removal / LRV impact
from level of filter plugging?
Scalability and the
importance of the scale down
model used for virus
validation?
6
How is validation of the virus
filter performed, what
operating parameters are
important?
How is filter capacity performance measured:
- either constant feed pressure, or
- constant feed flow, or
- combination (feed pressure and feed flow changing during processing)
- process goal is to minimize plugging / maximize L/m2 volumetric throughput, minimize filter costs ($/g)
PARVOVIRUS FILTRATION BEST PRACTICIES
5
$ $
$
high filter plugging
moderate filter plugging
no filter plugging
6
100
200
300
400
500
200 400 600 800 1000
% flow decay = 100 *
(1- 50/500) = 90%
LRV can be <or= 4
% flow decay = 100 *
(1- 200/500) = 60%
LRV can be 5
% flow decay = 100 *
(1- 400/500) = 20%
LRV can be 6
Flux (LMH) at
constant feed
pressure 30 psi
Volumetric Throughput (L/m2)
high filter plugging
moderate filter plugging
PARVOVIRUS FILTRATION BEST PRACTICIES
Filter capacity performance zone to avoid, and why?
% flow decay higher,
can drive LRV lower
7
100
200
300
400
500
200 400 600 800 1000
Flux (LMH) at
constant feed
pressure 30 psi
Volumetric Throughput (L/m2)
little to no fouling with optimal adsorptive prefilter use
(pilot FULL process simulation)
minimal filter plugging
more filter fouling during tougher validation
step with: frozen / thawed feed, decoupled
adsorptive prefilter, extra handling, virus spike,
etc. = higher % flow decay & lower L/m2
PARVOVIRUS FILTRATION BEST PRACTICIES
Filter capacity performance zone to target,
but (include safety factor before validation)
*** Safety Factor
before
validation
do not make clinical material to
max L/m2, BEFORE VALIDATION
after validation,
within this range
little to no fouling with optimal adsorptive prefilter use
(PD FULL process simulation)
Where is the optimal placement for the virus filter?
PARVOVIRUS FILTRATION BEST PRACTICIES
8
1.
BIOREACTOR
2.
CENTIRFUGE
3.
DEPTH-FILTER
4.
PROTEIN A
5.
LOW pH
INACTIVATION
9.
UF/DF
10.
0.22
FILTER
CEX AEX HIC VF
8.
Viresolve® Pro
Shield / Viresolve®
Pro parvovirus
filtration (20nm)
typical optimal position is
after the 2nd or 3rd column
6.-7.
POLISHING
X X
not
purified
enough
conc. too
high
> 25 g/L
Achieving maximum capacity / volumetric throughput (L/m2):
A. understand what is fouling the virus filter (drug product aggregates),
B. know what conditions cause the foulants / how to control them,
C. know the best way to remove foulants, if they cannot easily be prevented
PARVOVIRUS FILTRATION BEST PRACTICIES
9
Drug Product
Monomer ~ 4-6
nm
Virus Filter
Pore ~ 20 nm
RVLP ~
80 nm
MVM ~
20 nm
Drug Product
Di-mer
Drug Product
Tri-mer
Drug Product
Multi-mer
Virus Spike
Impurity
combined
species?
“aggregate”
Advantages of using
Adsorptive Prefilters:
2. Remove trace
aggregates: increase filter
capacity, reduce filter costs
4. Improved Robustness:
molecule 1 feed variability and
from molecule 1 to molecule 2
3. Can reverse the effects of
feed age, freeze / thaw, etc.
Factors that can impact virus
filter performance:
1. feed storage: temperature and
feed age (increase aggregate?)
2. freeze / thaw (increase
aggregate?)
5. increased concentration
(increase aggregate?)
4. pH / conductivity / additives
(change aggregate level?)
3. air/liquid interfacing,
foaming (increase aggregate?)
6. Interactions with virus spike
impurity (increase “aggregate”?)
1. Effective aggregate removal
vs. ineffective 100-200 nm
size based prefilters
The filterability impact from the specific drug product molecule:
some drug products are well behaved molecules, easy to work with, nothing makes them form aggregates
some drug products are sensitive molecules, hard to work with, they easily form aggregates
PARVOVIRUS FILTRATION BEST PRACTICIES
10
Factors that can impact virus
filter performance:
1. feed storage: temperature and
feed age (increased aggregate?)
2. freeze / thaw (increased
aggregate?)
5. increased concentration
(increased aggregate?)
4. pH / conductivity / additives
(changes in aggregate?)
3. air/liquid interfacing,
foaming (increased aggregate?)
6. Interactions with virus spike
impurity (increased “aggregate”?)
store in cold room at 2-8 C
(track and be aware of feed age)
if you must freeze, thaw using method (slow
vs. fast) that generates the least amount of
aggregate
only gentle handling, filter and siphon using a
dip-tube filling from the bottom up, pour slowly
down the side wall, vacuum filter gently
ideally have drug product in buffer where
aggregation is minimized (pH, condo., additives)
operate at the lower, not higher concentrations
use lowest % virus spike possible to hit
target LRV, use purest virus spike possible
the top and bottom photos are from:
P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans
and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11,
2013, 54–61.
the two middle photos, I took while in a virus spiking lab
foam
PARVOVIRUS FILTRATION BEST PRACTICIES
11
Impact from changing only drug product pH (no adsorptive prefilter)
decreasing pH reduced reversible drug product aggregate, increased VF capacity
blinded data from Viresolve® Vpro user PD
optimization project
less
plugging
lower pH
more
plugging
higher pH
* specific behavior can vary from molecule to molecule
Behaviors with feed pressure, feed concentration, & buffer flushing
PARVOVIRUS FILTRATION BEST PRACTICIES
12
0.2
50.2
100.2
150.2
200.2
250.2
300.2
0 20 40 60 80 100 120 140 160
FLUX
(LMH)
at
30
psi
Time (minutes)
2x10^6 MVM (60 min pause) 1
2x10^6 MVM (60 min pause) 2
2x10^6 MVM (60 min pause) 3
2x10^6 MVM (30 min pause) 1
2x10^6 MVM (30 min pause) 2
2x10^6 MVM (30 min pause) 3
baseline (no virus)
~ same fouling, but SLOW
~ same filter plugging,
FASTER processing
~ same filter plugging,
FASTEST processing
more filter fouling
at highest feed g/L
feed processing buffer flushing
Viresolve® Pro Solution Performance Guide
Lit No. RF1013EN00 Rev. B 11/14 DP SBU-12-07371
Printed in the U.S.A. ©2014 EMD Millipore Corporation,
Billerica, MA 01821 U.S.A. All rights reserved.
data I generated at Millipore R&D virus spiking lab
reversible
polarization
irreversible
fouling
Adsorptive Prefilter Development (increases in virus filter capacity)
diatomaceous earth containing depth filter or membrane with added ion exchange chemistry
PARVOVIRUS FILTRATION BEST PRACTICIES
13
ineffective size
based prefilters
G. Bolton, S. Spector and D. Lacasse, Increasing the capacity of
parvovirus-retentive membranes: performance of the Viresolve™
Prefilter, Biotechnol Appl Biochem 43, 2006, 55–63,
https://doi.org/10.1042/BA20050108.
G. Bolton, A. Brown, C. Bechtel, J. Bill, H. Liu, J. Liu, D.
McDonald, et al., Increasing parvovirus filter throughput of
monoclonal antibodies using ion exchange membrane adsorptive
pre-filtration, Biotechnol Bioeng 106, 2010, 627–637,
https://doi.org/10.1002/bit.22729.
effective
adsorptive
prefilters
Viresolve™ Prefilter Viresolve® Pro Shield
Feed pH and conductivity impact adsorptive prefilter performance
mixed mode / hydrophobic Viresolve™ Prefilter (VPF) is less impacted,
where cation exchange Viresolve® Pro Shield (Shield) is more impacted by pH & condo
PARVOVIRUS FILTRATION BEST PRACTICIES
14
data generated by
Millipore R&D
same data from
previous slide
data I generated in
PD lab
The choice of best adsorptive prefilter ViresolveTM Prefilter (VPF) vs. Viresolve® Pro Shield H
pros and cons [filter suppliers have adsorptive prefilter selection guides to help:
VPF, Shield, Shield H, Millistak+® HC Pro (X0SP)]
PARVOVIRUS FILTRATION BEST PRACTICIES
15
(3) steps for capacity optimization:
1. run virus filter by itself
2. run with various adsorptive prefilters
3. based on results / preferences, set
process design (z preliminary L/m2 capacity
with adsorptive prefilter A, B, C or D)
membrane filter with different
surface chemistry, works at
higher pH and condo, where
regular Shield does not
clean fully synthetic, silica-
based depth filter with lower
extractables, vs. diatomaceous
earth containing VPF depth filter
Adsorptive Prefilter Watchouts
L/m2 loading / binding site dependency AND residence time dependency
PARVOVIRUS FILTRATION BEST PRACTICIES
16
G. Bolton, S. Spector and D. Lacasse, Increasing
the capacity of parvovirus-retentive membranes:
performance of the Viresolve™ Prefilter, Biotechnol
Appl Biochem 43, 2006, 55–63,
https://doi.org/10.1042/BA20050108.
Photos (left) are from:
P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella,
B. Evans and A. Slocum, Artifacts of virus filter
validation, BioProcess Int 11, 2013, 54–61.
adsorptive PF overload
binding sites saturated
adsorptive PF feed pressure / flow too
high, not enough residence time for
aggregate to bind
Flowrate
(L/m2/h)
or
Permeability
(L/m2/h/psi)
Volumetric Throughput (L/m2)
Initial flowrate or
permeability with buffer
Guidelines for virus filter sizing in PD, run full process simulation
(watchout for adsorptive binding site saturation or change in virus filter fouling profile)
PARVOVIRUS FILTRATION BEST PRACTICIES
17
Flowrate
(L/m2/h)
or
Permeability
(L/m2/h/psi)
Volumetric Throughput (L/m2)
Initial flowrate or
permeability with buffer
?
predicted
extrapolated
volumetric
throughput
endpoint with
short run
?
predicted
extrapolated
volumetric
throughput
endpoint with
short run
adsorptive prefilter and virus filter virus filter alone
PARVOVIRUS FILTRATION BEST PRACTICIES
Guidelines for virus filter sizing in PD, watchout for high filter plugging
(high filter plugging can potentially lower virus removal level [LRV, Log Reduction Value])
18
(LRV)
LOG
Reduction
Value
% flow decay = 100 * (1 - Q/Qi)
1
2
3
4
5
6
20 40 60 80 100
Viresolve® NFP
Viresolve® PRO
specific
behavior
confirmed
during
validation
PARVOVIRUS FILTRATION BEST PRACTICIES
No impact to capacity, but at any point, watchout for process pause
(process pause can potentially lower virus removal level [LRV, Log Reduction Value])
19
(LRV)
LOG
Reduction
Value
1
2
3
4
5
6
1. feed pressure /
strong convective
flow brings virus
to original point of
capture by a
retentive pore
2. process pause =
zero pressure and flow
3. virus diffuses to a
new location
4. virus passes through
non-retentive pore into the
filtrate, with re-start
Viresolve® NFP Viresolve®PRO
solid bar, before process pause
hollow bar, after process pause
specific behavior
confirmed during
validation
Steps of virus filter development, relative level of difficulty, relationships
PARVOVIRUS FILTRATION BEST PRACTICIES
20
process development
(proof of concept, capacity
optimization, sets initial L/m2 design
expectation)
level of difficulty = 3-6
pilot scale up
(proof of scalability, generation of
clinical material?)
level of difficulty = 1-5
virus validation,
virus spiking study
(proof of virus removal capability,
sets maximum L/m2 throughput)
level of difficulty = 6-9
large scale implementation
(sets SOP based on
all best practices,
max L/m2 set by validation)
level of difficulty = 1-5
LOD 1 = easiest
LOD 10 = hardest
lod based on
sensitivity of the feed
lod easier with fresh
feed & in-line
adsorptive prefilter
use appropriate safety
factor to cover L/m2 in
tougher validation
environment
test the frozen / thawed
and adsorptive prefilter
decoupling impacts prior
to validation (required for
validation)
lod easier with fresh
feed & in-line
adsorptive prefilter
lod harder with frozen /
thawed feed & de-
coupled adsorptive
prefilter
lod harder with extra
handling (multiple transfers,
vacuum filtration, etc.)
lod harder with virus
spike addition
lod easier with fresh
feed & in-line
adsorptive prefilter
watchouts
do not UF concentrate the feed
material prior to validation (not
in the process, not
representative)
do not run max L/m2 seen
in PD for clinical material
prior to tougher validation
(may not achieve this in
tougher validation
environment)
Virus filter scalability (linked to the scale down model for validation)
PARVOVIRUS FILTRATION BEST PRACTICIES
21
Volumes at
300 and 900 L/m2
90 – 300 ml
5 – 15 L
20 – 60 L
70 – 200 L
150 – 450 L
450 – 1400 L
@ 5g/L
2300 – 7000 g
Viresolve® Pro Solution Performance Guide
Lit No. RF1013EN00 Rev. B 11/14 DP SBU-12-07371
Printed in the U.S.A. ©2014 EMD Millipore Corporation,
Billerica, MA 01821 U.S.A. All rights reserved.
The virus filter validation process (for virus filter alone)
PARVOVIRUS FILTRATION BEST PRACTICIES
22
Feed Sample
(Cvf)
30 psi
2. Filter ‘Spiked’ Solution
3.1 cm2
* ~ 107 – 108 XMuLV or MMV
~ 225 ml Feed 726 L/m2
~ 0.23 ml of *virus prep
(0.1 vol % spike)
1. Spike Virus
0.22um
or
0.45um
Goal = demonstrate target virus LRV at target filter throughput (L/m2)
3. Assay & Calc. LRV








=
p
vp
f
vf
V
C
V
C
LOG
LRV
Filtrate Sample
(Cvp)
viruses too large to pass
through parvovirus filter
pores
small MVM virus can pass
through parvovirus filter
pores
PARVOVIRUS FILTRATION BEST PRACTICIES
23
• Run at low pressure /
flow (controlled to same
flow as would occur with
the adsorptive prefilter
coupled to the parvovirus
filter) = proper residence
time for effective
aggregate removal
• Dip tube used to gently
place the adsorptive
prefilter filtrate in
collection vessel =
minimal air liquid
interfacing / minimal new
aggregate formation
before the parvovirus
filter
• Note that adsorptive
prefilter filtrate sits for
process time (30-120
minutes), new aggregate
does not typically, but can
reform with time before
the parvovirus filter
• Pour virus
spiked
adsorptive
prefiltered /
sterile filtered
filtrate slowly /
gently down side
wall of the feed
vessel =
minimal air
liquid interfacing
/ minimal new
aggregate
formation before
the parvovirus
filter
• Low vacuum and filtrate
down side wall = minimal
air liquid interfacing /
minimal new aggregate
formation before the
parvovirus filter
The virus validation process (with adsorptive prefilter)
decoupled, 2X process time (1X for adsorptive prefilter, 1X for virus filtration)
VIRUS
MONODISPERSITY
MICROFILTRATION
(NO GROSS VIRUS
AGGREGATION)
24
6. a type of parvovirus filter
(removes virus, shows maximum
capacity / minimal fouling with
effective in-line removal of aggregates
[both short residence time between
filters and no harsh handling])
3. virus feed injection syringe
(pushes an amount of virus into the
drug product feed, post adsorptive
prefilter, pre parvovirus filter)
1. a drug product feed
(either pumped direct from a bind
and elute chromatography column or
supplied to filters from pressurized
feed vessel via pressurized gas at
constant 30 psi, as shown, or from a
collected chromatography pool [flow
through or bind and elute step])
4. an in-line
static mixer
(mixes
injected virus
with drug
product feed)
5. feed sample syringe
(pulls at the same rate as the virus feed
injection, provides a measure of total virus
added in the drug product feed, post
adsorptive prefilter, pre parvovirus filter)
syringe pump
(push and pull)
filtrate
collection
(sample
assayed to
show how
much virus
got removed
by the virus
filter)?
Virus filter validation
with in-line virus injection
(coupled, direct in-line, minimal time in between the two filters, minimal
handling in between the two filters,
more representative of manufacturing process)
PARVOVIRUS FILTRATION BEST PRACTICIES
2. an adsorptive prefilter
(used for aggregate removal to protect
the parvovirus filter from fouling)
Publication that describes many of the challenges that exist in validation
Feed sample collection, feed shipping, frozen / thawed feed, decoupled adsorptive prefilter, virus spike addition,
extra handling from microfiltration for virus monodispersity, etc.
PARVOVIRUS FILTRATION BEST PRACTICIES
25
Figure 2 and Photo 1 are from:
P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum,
Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61.
other photos, I took while in a virus spiking lab
Publication that describes many of the challenges that exist in validation
Feed sample collection, feed shipping, frozen / thawed feed, decoupled adsorptive prefilter, virus spike addition,
extra handling microfiltration for virus monodispersity, etc. the need for a dip-tube
PARVOVIRUS FILTRATION BEST PRACTICIES
26
Figure 3, Figure 6, and Figure 5 are all from:
P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A.
Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61.
The importance of virus prep purity, the path to more pure virus preps
PARVOVIRUS FILTRATION BEST PRACTICIES
27
CRUDE
ULTRA 1: lot 1
ULTRA 1: lot 2
ULTRA 2: lot 1
ULTRA 2: lot 2
ULTRA 3: lot 1, lot 2 and lot 3
RUNspike
work around method 1
1012 titer bacteriophage in place
of 107 titer mammalian viruses
work around method 2
PDA Journal of Pharmaceutical Science and
Technology, Technical report, No. 47, Preparation of
virus spikes used for virus clearance studies, 2010,
University of Iowa, Iowa City (Iowa).
D.R. Asher, A. Slocum, K.F. Bergmann, P. Genest, A.B.
Katz, J.J. Morais, et al., Predicting virus filtration
performance with virus spike characterization,
BioProcess Int 9, 2011, 26–36.
Cabatingan, M. Impact of virus stock quality
on virus filter validation. Bioprocess
International 2005, 3 Supplement 7), 39-43
A. Slocum, M. Burnham, P. Genest, A.
Venkiteshwaran, D. Chen and J. Hughes, Impact of
virus preparation quality on parvovirus filter
performance, Biotechnol Bioeng 2013, 110,
https://doi.org/10.1002/bit.24600.
PARVOVIRUS FILTRATION BEST PRACTICIES
28
Even with purified virus preps, higher % virus spikes can still
reduce filter capacity (use only enough virus to hit target LRV)
Can do virus scoping runs with various % spikes to see the
capacity impact (and not assay, until final % spike is decided)
P. de Vilmorin, A. Slocum, T. Jaber, O. Schaefer, H. Ruppach
and P. Genest, Achieving a successful scale-down model and
optimized economics through parvovirus filter validation using
purified TrueSpikeTM viruses, PDA J Pharm Sci Technol 69,
2015, 440–449, https://doi.org/10.5731/pdajpst.2015.01054.
low
purity
virus
spikes
high
purity
virus
spikes
high
purity
virus
spikes
high
purity
virus
spikes
high
purity
virus
spikes
More pure prep collaborations (using Millipore generated pure viruses)
PARVOVIRUS FILTRATION BEST PRACTICIES
29
5 g/L Mab
Weight (g) / Volume (ml) vs. Time Data
Pressure Regulator
(15 psi)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
~200 ml
4.5 g/L
Mab D
Pressure Regulator
(30 psi)
Constant Pressure
Weight (g) / Volume (ml) vs. Time Data
Pump
(125 LMH)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
Pump
(250 LMH) ~200 ml
4.5 g/L
Mab D
vs. Constant Flow
Weight (g) / Volume (ml) vs. Time Data
Pressure Regulator
(15 psi)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
~200 ml
4.5 g/L
Mab D
Pressure Regulator
(30 psi)
Weight (g) / Volume (ml) vs. Time Data
Pressure Regulator
(15 psi)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
~200 ml
4.5 g/L
Mab D
Pressure Regulator
(30 psi)
Constant Pressure
Weight (g) / Volume (ml) vs. Time Data
Pump
(125 LMH)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
Pump
(250 LMH) ~200 ml
4.5 g/L
Mab D
vs. Constant Flow
Weight (g) / Volume (ml) vs. Time Data
Pump
(125 LMH)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
Pump
(250 LMH) ~200 ml
4.5 g/L
Mab D
Weight (g) / Volume (ml) vs. Time Data
Pump
(125 LMH)
~200 ml
4.5 g/L
Mab D
Vpro lot no
M1200607
AVP-4
Vpro lot no
M1200607
AVP-4
Valves
Pump
(250 LMH) ~200 ml
4.5 g/L
Mab D
vs. Constant Flow
P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A.
Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61.
Capacity and LRV Impacts from mode of operation
constant pressure vs. constant flow
30
Virus capacity (L/m2) optimization, example case study
PARVOVIRUS FILTRATION BEST PRACTICIES
Jaime De Souza, Ken Scott, and Paul Genest. Virus-Filtration Process Development
Optimization. BioProcess International, (14) 4, April 2016 pp. 62-74.
1. How is virus filter capacity performance measured?, slide 4
2. How is the final design L/m2 throughput determined (PD, to pilot, to validation, to manufacturing scale)?, slide 5-6
3. Where is the best placement, within the overall process, for the virus filter (VF)?, slide 7
4. How to deal with virus filter plugging / non-optimal filter capacity?, slides 8-10 and 12-16, 15 is poll question 1
5. What are the performance behaviors from feed pressure, feed concentration, and buffer flushing?, slide 11
6. What is the best way to size virus filters during PD (process simulation)?, slide 17
7. What is the virus removal / LRV impact from level of filter plugging?, slide 18
8. What is the virus removal / LRV impact from process pause?, slide 19
9. The steps for virus filter development, their relative levels of difficulty, and how they are related?, slide 20
10. Scalability and the importance of the scale down model used for virus validation?, slide 21
11. What is the validation process (with no adsorptive prefilter)?, slide 22
12. What is the validation process (with an adsorptive prefilter decoupled)?, slide 23
13. What is in-line virus injection (with an adsorptive prefilter still coupled) and where it is helpful to use?, slide 24
14. What are some additional validation challenges / behaviors, and best practices?, slides 25-27, 27 is poll question 2
15. What is the impact from an impure virus spike and or from too high a % virus spike, what is the history regarding the
pursuit of pure virus preps?, slides 28-30, 30 is poll question 3
16. How does constant pressure vs. constant flow operation affect capacity and LRV?, slide 31
PARVOVIRUS FILTRATION BEST PRACTICIES
31
Table of contents, detailed (filter capacity performance)
PARVOVIRUS FILTRATION BEST PRACTICIES
29
References 1. T.H. Meltzer and M.W. Jornitz, Filtration in the biopharmaceutical industry, 1998, Marcel Dekker, New York.
2. G. Sofer, K. Brorson, A. Abujoub, H. Aranha, T. Burnouf, J. Carter, et al., PDA technical report No. 41: virus
filtration, PDA J Pharm Sci Technol 59, 2005, 1–42.
3. G. Miesegaes, S. Lute, H. Aranha and K. Brorson, Virus retentive filters,
2010https://doi.org/10.1002/9780470054581.eib319.
4. T. Burnouf, An overview of plasma fractionation, Ann Blood 3, 2018,
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5. M. Morfini, A. Coppola, M. Franchini and G. Minno, Clinical use of factor VIII and factor IX concentrates, Blood
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Matilde Bourguignat, Helge Berg.
RUNspike
RUNspike
Bacteriophage in place of mammalian virus
Impact of Virus Prep Purity
Impact of % flow decay
Impact of % flow decay
Impact of % process pause
QbD (LRV report cards)
In-line Virus Injection method
QbD & modular validation
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References
56. T. Elich, E. Goodrich, H. Lutz and U. Mehta, Investigating the combination of single-pass tangential flow
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57. G. Bolton, J. Basha and D. Lacasse, Achieving high mass-throughput of therapeutic proteins through
parvovirus retentive filters, Biotechnol Prog 26, 2010, 1671–1677, https://doi.org/10.1002/btpr.494.
58. Bohonak, DM, Mehta, U, Weiss, ER, Voyta, G. Adapting virus filtration to enable intensified and continuous
monoclonal antibody processing. Biotechnol Progress. 2021; 37:e3088. https://doi.org/10.1002/btpr.3088
59. Fan R, Namila F, Sansongko D, Wickramasinghe SR, Jin M, Kanani D, Qian X. The effects of flux on the
clearance of minute virus of mice during constant flux virus filtration. Biotechnol Bioeng. 2021 Apr 3. doi:
10.1002/bit.27778. Epub ahead of print. PMID: 33811657.
Applications Engineer,
BioPharm Center of Excellence - Innovation + Influence = Impact
Paul Genest
The vibrant M, Millipore®, Viresolve® Millistak+® are trademarks of Merck KGaA, Darmstadt, Germany or its affiliates. All
other trademarks are the property of their respective owners. Detailed information on trademarks is available via publicly
accessible resources.
© 2019 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.

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Parvovirus Filtration Best Practices - 25 Years of Hands-On Experience

  • 1. The life science business of Merck KGaA, Darmstadt, Germany operates as MilliporeSigma in the U.S. and Canada. PARVOVIRUS FILTRATION BEST PRACTICIES Paul Genest Applications Engineer, BioPharm Center of Excellence - Innovation + Influence = Impact 25 YEARS OF HANDS-ON EXPERIENCE
  • 2. The life science business of Merck KGaA, Darmstadt, Germany operates as MilliporeSigma in the U.S. and Canada
  • 3. 3 Paul Genest Applications Engineering (25 years in industry) B.S. Chemical Engineering, UNH, 1994 M.S. Chemical Engineering, UNH, 1996 No. 1 Goal = Optimized Performance and Trouble-free Operation
  • 4. Agenda 1 2 3 How to measure virus filter capacity performance? What are the operating parameters that impact virus filter capacity performance? What is the best way to size virus filters during PD? 4 5 What is the virus removal / LRV impact from level of filter plugging? Scalability and the importance of the scale down model used for virus validation? 6 How is validation of the virus filter performed, what operating parameters are important?
  • 5. How is filter capacity performance measured: - either constant feed pressure, or - constant feed flow, or - combination (feed pressure and feed flow changing during processing) - process goal is to minimize plugging / maximize L/m2 volumetric throughput, minimize filter costs ($/g) PARVOVIRUS FILTRATION BEST PRACTICIES 5 $ $ $ high filter plugging moderate filter plugging no filter plugging
  • 6. 6 100 200 300 400 500 200 400 600 800 1000 % flow decay = 100 * (1- 50/500) = 90% LRV can be <or= 4 % flow decay = 100 * (1- 200/500) = 60% LRV can be 5 % flow decay = 100 * (1- 400/500) = 20% LRV can be 6 Flux (LMH) at constant feed pressure 30 psi Volumetric Throughput (L/m2) high filter plugging moderate filter plugging PARVOVIRUS FILTRATION BEST PRACTICIES Filter capacity performance zone to avoid, and why? % flow decay higher, can drive LRV lower
  • 7. 7 100 200 300 400 500 200 400 600 800 1000 Flux (LMH) at constant feed pressure 30 psi Volumetric Throughput (L/m2) little to no fouling with optimal adsorptive prefilter use (pilot FULL process simulation) minimal filter plugging more filter fouling during tougher validation step with: frozen / thawed feed, decoupled adsorptive prefilter, extra handling, virus spike, etc. = higher % flow decay & lower L/m2 PARVOVIRUS FILTRATION BEST PRACTICIES Filter capacity performance zone to target, but (include safety factor before validation) *** Safety Factor before validation do not make clinical material to max L/m2, BEFORE VALIDATION after validation, within this range little to no fouling with optimal adsorptive prefilter use (PD FULL process simulation)
  • 8. Where is the optimal placement for the virus filter? PARVOVIRUS FILTRATION BEST PRACTICIES 8 1. BIOREACTOR 2. CENTIRFUGE 3. DEPTH-FILTER 4. PROTEIN A 5. LOW pH INACTIVATION 9. UF/DF 10. 0.22 FILTER CEX AEX HIC VF 8. Viresolve® Pro Shield / Viresolve® Pro parvovirus filtration (20nm) typical optimal position is after the 2nd or 3rd column 6.-7. POLISHING X X not purified enough conc. too high > 25 g/L
  • 9. Achieving maximum capacity / volumetric throughput (L/m2): A. understand what is fouling the virus filter (drug product aggregates), B. know what conditions cause the foulants / how to control them, C. know the best way to remove foulants, if they cannot easily be prevented PARVOVIRUS FILTRATION BEST PRACTICIES 9 Drug Product Monomer ~ 4-6 nm Virus Filter Pore ~ 20 nm RVLP ~ 80 nm MVM ~ 20 nm Drug Product Di-mer Drug Product Tri-mer Drug Product Multi-mer Virus Spike Impurity combined species? “aggregate” Advantages of using Adsorptive Prefilters: 2. Remove trace aggregates: increase filter capacity, reduce filter costs 4. Improved Robustness: molecule 1 feed variability and from molecule 1 to molecule 2 3. Can reverse the effects of feed age, freeze / thaw, etc. Factors that can impact virus filter performance: 1. feed storage: temperature and feed age (increase aggregate?) 2. freeze / thaw (increase aggregate?) 5. increased concentration (increase aggregate?) 4. pH / conductivity / additives (change aggregate level?) 3. air/liquid interfacing, foaming (increase aggregate?) 6. Interactions with virus spike impurity (increase “aggregate”?) 1. Effective aggregate removal vs. ineffective 100-200 nm size based prefilters
  • 10. The filterability impact from the specific drug product molecule: some drug products are well behaved molecules, easy to work with, nothing makes them form aggregates some drug products are sensitive molecules, hard to work with, they easily form aggregates PARVOVIRUS FILTRATION BEST PRACTICIES 10 Factors that can impact virus filter performance: 1. feed storage: temperature and feed age (increased aggregate?) 2. freeze / thaw (increased aggregate?) 5. increased concentration (increased aggregate?) 4. pH / conductivity / additives (changes in aggregate?) 3. air/liquid interfacing, foaming (increased aggregate?) 6. Interactions with virus spike impurity (increased “aggregate”?) store in cold room at 2-8 C (track and be aware of feed age) if you must freeze, thaw using method (slow vs. fast) that generates the least amount of aggregate only gentle handling, filter and siphon using a dip-tube filling from the bottom up, pour slowly down the side wall, vacuum filter gently ideally have drug product in buffer where aggregation is minimized (pH, condo., additives) operate at the lower, not higher concentrations use lowest % virus spike possible to hit target LRV, use purest virus spike possible the top and bottom photos are from: P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61. the two middle photos, I took while in a virus spiking lab foam
  • 11. PARVOVIRUS FILTRATION BEST PRACTICIES 11 Impact from changing only drug product pH (no adsorptive prefilter) decreasing pH reduced reversible drug product aggregate, increased VF capacity blinded data from Viresolve® Vpro user PD optimization project less plugging lower pH more plugging higher pH * specific behavior can vary from molecule to molecule
  • 12. Behaviors with feed pressure, feed concentration, & buffer flushing PARVOVIRUS FILTRATION BEST PRACTICIES 12 0.2 50.2 100.2 150.2 200.2 250.2 300.2 0 20 40 60 80 100 120 140 160 FLUX (LMH) at 30 psi Time (minutes) 2x10^6 MVM (60 min pause) 1 2x10^6 MVM (60 min pause) 2 2x10^6 MVM (60 min pause) 3 2x10^6 MVM (30 min pause) 1 2x10^6 MVM (30 min pause) 2 2x10^6 MVM (30 min pause) 3 baseline (no virus) ~ same fouling, but SLOW ~ same filter plugging, FASTER processing ~ same filter plugging, FASTEST processing more filter fouling at highest feed g/L feed processing buffer flushing Viresolve® Pro Solution Performance Guide Lit No. RF1013EN00 Rev. B 11/14 DP SBU-12-07371 Printed in the U.S.A. ©2014 EMD Millipore Corporation, Billerica, MA 01821 U.S.A. All rights reserved. data I generated at Millipore R&D virus spiking lab reversible polarization irreversible fouling
  • 13. Adsorptive Prefilter Development (increases in virus filter capacity) diatomaceous earth containing depth filter or membrane with added ion exchange chemistry PARVOVIRUS FILTRATION BEST PRACTICIES 13 ineffective size based prefilters G. Bolton, S. Spector and D. Lacasse, Increasing the capacity of parvovirus-retentive membranes: performance of the Viresolve™ Prefilter, Biotechnol Appl Biochem 43, 2006, 55–63, https://doi.org/10.1042/BA20050108. G. Bolton, A. Brown, C. Bechtel, J. Bill, H. Liu, J. Liu, D. McDonald, et al., Increasing parvovirus filter throughput of monoclonal antibodies using ion exchange membrane adsorptive pre-filtration, Biotechnol Bioeng 106, 2010, 627–637, https://doi.org/10.1002/bit.22729. effective adsorptive prefilters
  • 14. Viresolve™ Prefilter Viresolve® Pro Shield Feed pH and conductivity impact adsorptive prefilter performance mixed mode / hydrophobic Viresolve™ Prefilter (VPF) is less impacted, where cation exchange Viresolve® Pro Shield (Shield) is more impacted by pH & condo PARVOVIRUS FILTRATION BEST PRACTICIES 14 data generated by Millipore R&D same data from previous slide data I generated in PD lab
  • 15. The choice of best adsorptive prefilter ViresolveTM Prefilter (VPF) vs. Viresolve® Pro Shield H pros and cons [filter suppliers have adsorptive prefilter selection guides to help: VPF, Shield, Shield H, Millistak+® HC Pro (X0SP)] PARVOVIRUS FILTRATION BEST PRACTICIES 15 (3) steps for capacity optimization: 1. run virus filter by itself 2. run with various adsorptive prefilters 3. based on results / preferences, set process design (z preliminary L/m2 capacity with adsorptive prefilter A, B, C or D) membrane filter with different surface chemistry, works at higher pH and condo, where regular Shield does not clean fully synthetic, silica- based depth filter with lower extractables, vs. diatomaceous earth containing VPF depth filter
  • 16. Adsorptive Prefilter Watchouts L/m2 loading / binding site dependency AND residence time dependency PARVOVIRUS FILTRATION BEST PRACTICIES 16 G. Bolton, S. Spector and D. Lacasse, Increasing the capacity of parvovirus-retentive membranes: performance of the Viresolve™ Prefilter, Biotechnol Appl Biochem 43, 2006, 55–63, https://doi.org/10.1042/BA20050108. Photos (left) are from: P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61. adsorptive PF overload binding sites saturated adsorptive PF feed pressure / flow too high, not enough residence time for aggregate to bind
  • 17. Flowrate (L/m2/h) or Permeability (L/m2/h/psi) Volumetric Throughput (L/m2) Initial flowrate or permeability with buffer Guidelines for virus filter sizing in PD, run full process simulation (watchout for adsorptive binding site saturation or change in virus filter fouling profile) PARVOVIRUS FILTRATION BEST PRACTICIES 17 Flowrate (L/m2/h) or Permeability (L/m2/h/psi) Volumetric Throughput (L/m2) Initial flowrate or permeability with buffer ? predicted extrapolated volumetric throughput endpoint with short run ? predicted extrapolated volumetric throughput endpoint with short run adsorptive prefilter and virus filter virus filter alone
  • 18. PARVOVIRUS FILTRATION BEST PRACTICIES Guidelines for virus filter sizing in PD, watchout for high filter plugging (high filter plugging can potentially lower virus removal level [LRV, Log Reduction Value]) 18 (LRV) LOG Reduction Value % flow decay = 100 * (1 - Q/Qi) 1 2 3 4 5 6 20 40 60 80 100 Viresolve® NFP Viresolve® PRO specific behavior confirmed during validation
  • 19. PARVOVIRUS FILTRATION BEST PRACTICIES No impact to capacity, but at any point, watchout for process pause (process pause can potentially lower virus removal level [LRV, Log Reduction Value]) 19 (LRV) LOG Reduction Value 1 2 3 4 5 6 1. feed pressure / strong convective flow brings virus to original point of capture by a retentive pore 2. process pause = zero pressure and flow 3. virus diffuses to a new location 4. virus passes through non-retentive pore into the filtrate, with re-start Viresolve® NFP Viresolve®PRO solid bar, before process pause hollow bar, after process pause specific behavior confirmed during validation
  • 20. Steps of virus filter development, relative level of difficulty, relationships PARVOVIRUS FILTRATION BEST PRACTICIES 20 process development (proof of concept, capacity optimization, sets initial L/m2 design expectation) level of difficulty = 3-6 pilot scale up (proof of scalability, generation of clinical material?) level of difficulty = 1-5 virus validation, virus spiking study (proof of virus removal capability, sets maximum L/m2 throughput) level of difficulty = 6-9 large scale implementation (sets SOP based on all best practices, max L/m2 set by validation) level of difficulty = 1-5 LOD 1 = easiest LOD 10 = hardest lod based on sensitivity of the feed lod easier with fresh feed & in-line adsorptive prefilter use appropriate safety factor to cover L/m2 in tougher validation environment test the frozen / thawed and adsorptive prefilter decoupling impacts prior to validation (required for validation) lod easier with fresh feed & in-line adsorptive prefilter lod harder with frozen / thawed feed & de- coupled adsorptive prefilter lod harder with extra handling (multiple transfers, vacuum filtration, etc.) lod harder with virus spike addition lod easier with fresh feed & in-line adsorptive prefilter watchouts do not UF concentrate the feed material prior to validation (not in the process, not representative) do not run max L/m2 seen in PD for clinical material prior to tougher validation (may not achieve this in tougher validation environment)
  • 21. Virus filter scalability (linked to the scale down model for validation) PARVOVIRUS FILTRATION BEST PRACTICIES 21 Volumes at 300 and 900 L/m2 90 – 300 ml 5 – 15 L 20 – 60 L 70 – 200 L 150 – 450 L 450 – 1400 L @ 5g/L 2300 – 7000 g Viresolve® Pro Solution Performance Guide Lit No. RF1013EN00 Rev. B 11/14 DP SBU-12-07371 Printed in the U.S.A. ©2014 EMD Millipore Corporation, Billerica, MA 01821 U.S.A. All rights reserved.
  • 22. The virus filter validation process (for virus filter alone) PARVOVIRUS FILTRATION BEST PRACTICIES 22 Feed Sample (Cvf) 30 psi 2. Filter ‘Spiked’ Solution 3.1 cm2 * ~ 107 – 108 XMuLV or MMV ~ 225 ml Feed 726 L/m2 ~ 0.23 ml of *virus prep (0.1 vol % spike) 1. Spike Virus 0.22um or 0.45um Goal = demonstrate target virus LRV at target filter throughput (L/m2) 3. Assay & Calc. LRV         = p vp f vf V C V C LOG LRV Filtrate Sample (Cvp) viruses too large to pass through parvovirus filter pores small MVM virus can pass through parvovirus filter pores
  • 23. PARVOVIRUS FILTRATION BEST PRACTICIES 23 • Run at low pressure / flow (controlled to same flow as would occur with the adsorptive prefilter coupled to the parvovirus filter) = proper residence time for effective aggregate removal • Dip tube used to gently place the adsorptive prefilter filtrate in collection vessel = minimal air liquid interfacing / minimal new aggregate formation before the parvovirus filter • Note that adsorptive prefilter filtrate sits for process time (30-120 minutes), new aggregate does not typically, but can reform with time before the parvovirus filter • Pour virus spiked adsorptive prefiltered / sterile filtered filtrate slowly / gently down side wall of the feed vessel = minimal air liquid interfacing / minimal new aggregate formation before the parvovirus filter • Low vacuum and filtrate down side wall = minimal air liquid interfacing / minimal new aggregate formation before the parvovirus filter The virus validation process (with adsorptive prefilter) decoupled, 2X process time (1X for adsorptive prefilter, 1X for virus filtration) VIRUS MONODISPERSITY MICROFILTRATION (NO GROSS VIRUS AGGREGATION)
  • 24. 24 6. a type of parvovirus filter (removes virus, shows maximum capacity / minimal fouling with effective in-line removal of aggregates [both short residence time between filters and no harsh handling]) 3. virus feed injection syringe (pushes an amount of virus into the drug product feed, post adsorptive prefilter, pre parvovirus filter) 1. a drug product feed (either pumped direct from a bind and elute chromatography column or supplied to filters from pressurized feed vessel via pressurized gas at constant 30 psi, as shown, or from a collected chromatography pool [flow through or bind and elute step]) 4. an in-line static mixer (mixes injected virus with drug product feed) 5. feed sample syringe (pulls at the same rate as the virus feed injection, provides a measure of total virus added in the drug product feed, post adsorptive prefilter, pre parvovirus filter) syringe pump (push and pull) filtrate collection (sample assayed to show how much virus got removed by the virus filter)? Virus filter validation with in-line virus injection (coupled, direct in-line, minimal time in between the two filters, minimal handling in between the two filters, more representative of manufacturing process) PARVOVIRUS FILTRATION BEST PRACTICIES 2. an adsorptive prefilter (used for aggregate removal to protect the parvovirus filter from fouling)
  • 25. Publication that describes many of the challenges that exist in validation Feed sample collection, feed shipping, frozen / thawed feed, decoupled adsorptive prefilter, virus spike addition, extra handling from microfiltration for virus monodispersity, etc. PARVOVIRUS FILTRATION BEST PRACTICIES 25 Figure 2 and Photo 1 are from: P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61. other photos, I took while in a virus spiking lab
  • 26. Publication that describes many of the challenges that exist in validation Feed sample collection, feed shipping, frozen / thawed feed, decoupled adsorptive prefilter, virus spike addition, extra handling microfiltration for virus monodispersity, etc. the need for a dip-tube PARVOVIRUS FILTRATION BEST PRACTICIES 26 Figure 3, Figure 6, and Figure 5 are all from: P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61.
  • 27. The importance of virus prep purity, the path to more pure virus preps PARVOVIRUS FILTRATION BEST PRACTICIES 27 CRUDE ULTRA 1: lot 1 ULTRA 1: lot 2 ULTRA 2: lot 1 ULTRA 2: lot 2 ULTRA 3: lot 1, lot 2 and lot 3 RUNspike work around method 1 1012 titer bacteriophage in place of 107 titer mammalian viruses work around method 2 PDA Journal of Pharmaceutical Science and Technology, Technical report, No. 47, Preparation of virus spikes used for virus clearance studies, 2010, University of Iowa, Iowa City (Iowa). D.R. Asher, A. Slocum, K.F. Bergmann, P. Genest, A.B. Katz, J.J. Morais, et al., Predicting virus filtration performance with virus spike characterization, BioProcess Int 9, 2011, 26–36. Cabatingan, M. Impact of virus stock quality on virus filter validation. Bioprocess International 2005, 3 Supplement 7), 39-43 A. Slocum, M. Burnham, P. Genest, A. Venkiteshwaran, D. Chen and J. Hughes, Impact of virus preparation quality on parvovirus filter performance, Biotechnol Bioeng 2013, 110, https://doi.org/10.1002/bit.24600.
  • 28. PARVOVIRUS FILTRATION BEST PRACTICIES 28 Even with purified virus preps, higher % virus spikes can still reduce filter capacity (use only enough virus to hit target LRV) Can do virus scoping runs with various % spikes to see the capacity impact (and not assay, until final % spike is decided) P. de Vilmorin, A. Slocum, T. Jaber, O. Schaefer, H. Ruppach and P. Genest, Achieving a successful scale-down model and optimized economics through parvovirus filter validation using purified TrueSpikeTM viruses, PDA J Pharm Sci Technol 69, 2015, 440–449, https://doi.org/10.5731/pdajpst.2015.01054. low purity virus spikes high purity virus spikes high purity virus spikes high purity virus spikes high purity virus spikes More pure prep collaborations (using Millipore generated pure viruses)
  • 29. PARVOVIRUS FILTRATION BEST PRACTICIES 29 5 g/L Mab Weight (g) / Volume (ml) vs. Time Data Pressure Regulator (15 psi) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves ~200 ml 4.5 g/L Mab D Pressure Regulator (30 psi) Constant Pressure Weight (g) / Volume (ml) vs. Time Data Pump (125 LMH) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves Pump (250 LMH) ~200 ml 4.5 g/L Mab D vs. Constant Flow Weight (g) / Volume (ml) vs. Time Data Pressure Regulator (15 psi) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves ~200 ml 4.5 g/L Mab D Pressure Regulator (30 psi) Weight (g) / Volume (ml) vs. Time Data Pressure Regulator (15 psi) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves ~200 ml 4.5 g/L Mab D Pressure Regulator (30 psi) Constant Pressure Weight (g) / Volume (ml) vs. Time Data Pump (125 LMH) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves Pump (250 LMH) ~200 ml 4.5 g/L Mab D vs. Constant Flow Weight (g) / Volume (ml) vs. Time Data Pump (125 LMH) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves Pump (250 LMH) ~200 ml 4.5 g/L Mab D Weight (g) / Volume (ml) vs. Time Data Pump (125 LMH) ~200 ml 4.5 g/L Mab D Vpro lot no M1200607 AVP-4 Vpro lot no M1200607 AVP-4 Valves Pump (250 LMH) ~200 ml 4.5 g/L Mab D vs. Constant Flow P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61. Capacity and LRV Impacts from mode of operation constant pressure vs. constant flow
  • 30. 30 Virus capacity (L/m2) optimization, example case study PARVOVIRUS FILTRATION BEST PRACTICIES Jaime De Souza, Ken Scott, and Paul Genest. Virus-Filtration Process Development Optimization. BioProcess International, (14) 4, April 2016 pp. 62-74.
  • 31. 1. How is virus filter capacity performance measured?, slide 4 2. How is the final design L/m2 throughput determined (PD, to pilot, to validation, to manufacturing scale)?, slide 5-6 3. Where is the best placement, within the overall process, for the virus filter (VF)?, slide 7 4. How to deal with virus filter plugging / non-optimal filter capacity?, slides 8-10 and 12-16, 15 is poll question 1 5. What are the performance behaviors from feed pressure, feed concentration, and buffer flushing?, slide 11 6. What is the best way to size virus filters during PD (process simulation)?, slide 17 7. What is the virus removal / LRV impact from level of filter plugging?, slide 18 8. What is the virus removal / LRV impact from process pause?, slide 19 9. The steps for virus filter development, their relative levels of difficulty, and how they are related?, slide 20 10. Scalability and the importance of the scale down model used for virus validation?, slide 21 11. What is the validation process (with no adsorptive prefilter)?, slide 22 12. What is the validation process (with an adsorptive prefilter decoupled)?, slide 23 13. What is in-line virus injection (with an adsorptive prefilter still coupled) and where it is helpful to use?, slide 24 14. What are some additional validation challenges / behaviors, and best practices?, slides 25-27, 27 is poll question 2 15. What is the impact from an impure virus spike and or from too high a % virus spike, what is the history regarding the pursuit of pure virus preps?, slides 28-30, 30 is poll question 3 16. How does constant pressure vs. constant flow operation affect capacity and LRV?, slide 31 PARVOVIRUS FILTRATION BEST PRACTICIES 31 Table of contents, detailed (filter capacity performance)
  • 32. PARVOVIRUS FILTRATION BEST PRACTICIES 29 References 1. T.H. Meltzer and M.W. Jornitz, Filtration in the biopharmaceutical industry, 1998, Marcel Dekker, New York. 2. G. Sofer, K. Brorson, A. Abujoub, H. Aranha, T. Burnouf, J. Carter, et al., PDA technical report No. 41: virus filtration, PDA J Pharm Sci Technol 59, 2005, 1–42. 3. G. Miesegaes, S. Lute, H. Aranha and K. Brorson, Virus retentive filters, 2010https://doi.org/10.1002/9780470054581.eib319. 4. T. Burnouf, An overview of plasma fractionation, Ann Blood 3, 2018, https://doi.org/10.21037/aob.2018.05.03, 33-33. 5. M. Morfini, A. Coppola, M. Franchini and G. Minno, Clinical use of factor VIII and factor IX concentrates, Blood Transfus (Trasfusione del sangue) 11 (Suppl. 4), 2013, s55–63, https://doi.org/10.2450/2013.010s. 6. P.M. Munnucci, AIDS, hepatitis and hemophilia in the 1980s: memoirs from an insider, J Thromb Haemostasis 1, 2003, 2065–2069. 7. EMA/CHMP/BWP/706271/2010, Committee for medicinal products for human use (CHMP), Guideline on plasma-derived medicinal products, July 21, 2011. 8. A. Dileo, A.E. Allegrezza and S.E. Builder, High resolution removal of virus from protein solutions using a membrane of unique structure, Biotechnology 10, 1992, 182–188, https://doi.org/10.1038/nbt0292-182. 9. DiLeo AJ, Vacante DA, Deane EF. Size exclusion removal of model mammalian viruses using a unique membrane system, Part I: Membrane qualification. Biologicals. 1993 Sep;21(3):275-86. doi: 10.1006/biol.1993.1085. PMID: 8117441. 10. DiLeo AJ, Vacante DA, Deane EF. Size exclusion removal of model mammalian viruses using a unique membrane system, Part II: Module qualification and process simulation. Biologicals. 1993 Sep;21(3):287-96. doi: 10.1006/biol.1993.1086. PMID: 8117442. 11. Phillips MW, DiLeo AJ. A Validatible Porosimetric Technique for verifying the integrity of virus-retentive membranes. Biologicals 1996;24:243-53. 12. Drug Product Insert for BeneFix, recombinant CHO cell culture derived Factor IX, https://hemonc.org/docs/packageinsert/factorixbenefix.pdf 13. H. Brough, C. Antoniou, J. Carter, J. Jakubik, Y. Xu and H. Lutz, Performance of a novel viresolve NFR virus filter, Biotechnol Prog 18, 2002, 782–795, https://doi.org/10.1021/bp010193. 14. Guidance for industry Q5A viral safety evaluation of biotechnology products derived from cell lines of human or animal origin, US department of health and human services food and drug administration center for drug evaluation and research (CDER) center for biologics evaluation and research (CBER) september 1998 IC. 15. Buss NA, Henderson SJ, McFarlane M, Shenton JM, de Haan L. Monoclonal antibody therapeutics: history and future. Curr Opin Pharmacol. 2012 Oct;12(5):615-22. doi: 10.1016/j.coph.2012.08.001. Epub 2012 Aug 21. PMID: 22920732. 16. R.D. Kiss, Practicing safe cell culture: applied process designs for minimizing virus contamination risk, PDA J Pharm Sc Technol 65, 2011, 715–729, https://doi.org/10.5731/pdajpst.2011.00852. 17. Liu S, Carroll M, Iverson R, et al. Development and qualification of a novel virus removal filter for cell culture applications. Biotechnology Progress. 2000 May-Jun;16(3):425-434. DOI: 10.1021/bp000027m. 18. Lute S, Aranha H, Tremblay D, Liang D, Ackermann HW, Chu B, Moineau S, Brorson K. Characterization of coliphage PR772 and evaluation of its use for virus filter performance testing. Appl Environ Microbiol. 2004 Aug;70(8):4864-71. doi: 10.1128/AEM.70.8.4864-4871.2004. PMID: 15294825; PMCID: PMC492345.
  • 33. PARVOVIRUS FILTRATION BEST PRACTICIES 30 References 19. K. Brorson, G. Sofer and H. Aranha, Nomenclature standardization for 'large pore size' virus-retentive filters, PDA J Pharm Sc Technol 59, 2005, 341–345. 20. Lute S, Riordan W, Pease LF 3rd, Tsai DH, Levy R, Haque M, Martin J, Moroe I, Sato T, Morgan M, Krishnan M, Campbell J, Genest P, Dolan S, Tarrach K, Meyer A; PDA Virus Filter TAsk Force, Zachariah MR, Tarlov MJ, EtzeL M, Brorson K, Aranha H, Bailey M, Bender J, Carter J, Chen Q, Dowd C, Jani R, Jen D, Kidd S, Meltzer T, Remington K, Rice I, Romero C, Sato T, Jornitz M, Sekura CM, Sofer G, Specht R, Wojciechowski P; Parenteral Drug Association Virus Filter Task Force. A consensus rating method for small virus-retentive filters. I. Method development. PDA J Pharm Sci Technol. 2008 Sep-Oct;62(5):318-33. PMID: 19055228. 21. Brorson K, Lute S, Haque M, Martin J, Sato T, Moroe I, Morgan M, Krishnan M, Campbell J, Genest P, Parrella J, Dolan S, Martin S, Tarrach K, Levy R; PDA Virus Filter Task Force, Aranha H, Bailey M, Bender J, Carter J, Chen Q, Dowd C, Jani R, Jen D, Kidd S, Meltzer T, Remington K, Rice I, Romero C, Sato T, Jornitz M, Sekura CM, Sofer G, Specht R, Wojciechowski P. A consensus rating method for small virus-retentive filters. II. Method evaluation. PDA J Pharm Sci Technol. 2008 Sep-Oct;62(5):334-43. PMID: 19055229. 22. S. Giglia, D. Bohonak, P. Greenhalgh and A. Leahy, Measurement of pore size distribution and prediction of membrane filter virus retention using liquid–liquid porometry, J Membr Sci 476, 2015, https://doi.org/10.1016/j.memsci.2014.11.053. 23. S. Giglia and M. Krishnan, High sensitivity binary gas integrity test for membrane filters, J Membr Sci 323, 2008, 60–66, https://doi.org/10.1016/j.memsci.2008.06.017. 24. Viresolve® Pro Solution Performance Guide, Lit No. RF1013EN00 Rev. B 11/14 DP SBU-12-07371 Printed in the U.S.A. ©2014 EMD Millipore Corporation, Billerica, MA 01821 U.S.A. All rights reserved. 25. EMA/CPMP/BWP/268/95. Published 14/02/1996 Effective from 14/08/1996, virus validation studies: the design, contribution and interpretation of studies validating the inactivation and removal of viruses. 26. G. Miesegaes, S. Lute and K. Brorson, Analysis of viral clearance unit operations for monoclonal antibodies, Biotechnol Bioeng 106, 2010, 238–246, https://doi.org/10.1002/bit.22662. 27. Lute, S., M. Bailey, J. Combs, M. Sukumar, and K. Brorson. "Phage passage after extended processing in small‐ virus‐retentive filters." Biotechnology and Applied Biochemistry 48.1 (2007). 28. G. Bolton, S. Spector and D. Lacasse, Increasing the capacity of parvovirus-retentive membranes: performance of the Viresolve™ prefilter, Biotechnol Appl Biochem 43, 2006, 55–63, https://doi.org/10.1042/BA20050108. 29. A. Brown, C. Bechtel, J. Bill, H. Liu, J. Liu, D. McDonald, et al., Increasing parvovirus filter throughput of monoclonal antibodies using ion exchange membrane adsorptive pre-filtration, Biotechnol Bioeng 106, 2010, 627–637, https://doi.org/10.1002/bit.22729. 30. P. Genest, H. Ruppach, C. Geyer, M. Asper, J. Parrella, B. Evans and A. Slocum, Artifacts of virus filter validation, BioProcess Int 11, 2013, 54–61. 31. Jaime De Souza, Ken Scott, and Paul Genest. Virus-Filtration Process Development Optimization. BioProcess International, (14) 4, April 2016 pp. 62-74. 32. Rayfield WJ, Roush DJ, Chmielowski RA, Tugcu N, Barakat S, Cheung JK. Prediction of viral filtration performance of monoclonal antibodies based on biophysical properties of feed. Biotechnol Prog. 2015 May- Jun;31(3):765-74. doi: 10.1002/btpr.2094. Epub 2015 May 19. PMID: 25919945. 33. D.R. Asher, A. Slocum, K.F. Bergmann, P. Genest, A.B. Katz, J.J. Morais, et al., Predicting virus filtration performance with virus spike characterization, BioProcess Int 9, 2011, 26–36. 34. A. Slocum, M. Burnham, P. Genest, A. Venkiteshwaran, D. Chen and J. Hughes, Impact of virus preparation quality on parvovirus filter performance, Biotechnol Bioeng 2013, 110, https://doi.org/10.1002/bit.24600. 35. P. de Vilmorin, A. Slocum, T. Jaber, O. Schaefer, H. Ruppach and P. Genest, Achieving a successful scale-down model and optimized economics through parvovirus filter validation using purified TrueSpikeTM viruses, PDA J Pharm Sci Technol 69, 2015, 440–449, https://doi.org/10.5731/pdajpst.2015.01054. 36. Wu, Yaling., Ahmed, A., Waghmare, R., Genest, P., Issacson, S., Krishnan, M., Kahn, D. Validation of Adventitious Virus Removal By Virus Filtration, A Novel Procedure for Monoclonal Antibody Processes. BioProcess Int. 6(5) 2008:54-59. Liquid / Liquid Porometry Binary Gas IT VPF development Shield development Validation watchouts / best practices Virus Filter PD optimization / implementation Impact of Virus Prep Purity Impact of Virus Prep Purity Impact of Virus Prep Purity RUNspike
  • 34. PARVOVIRUS FILTRATION BEST PRACTICIES 31 References 37. Navid Z. Khan, Joseph J. Parrella, Paul W. Genest and Michael S. Colman. Filter Preconditioning Enables Representative Scaled-Down Modeling of Filter Capacity and Viral Clearance By Mitigating the Impact of Virus spike Impurities. Biotechnol. Appl. BioChem. 52(Pt4) 2009:293-301. 38. Joe Parrella, Yaling Wu, David W. Kahn, and Paul Genest. RUNspike, a Complementary Virus Filter Spiking Method: A Solution to the Problem of Reduced Throughput Due to the Addition of the Virus Spike. PDA J Pharm Sci and Tech. 63 2009:547-558. 39. Miesegaes G, Bailey M, Willkommen H, et al. Proceedings of the 2009 Viral Clearance Symposium. Developments in Biologicals. 2010 ;133:3-101. 40. PDA Journal of Pharmaceutical Science and Technology, Technical report, No. 47, Preparation of virus spikes used for virus clearance studies, 2010, University of Iowa, Iowa City (Iowa). 41. G. Bolton, M. Cabatingan, M. Rubino, S. Lute, K. Brorson and M. Bailey, Normal-flow virus filtration: detection and assessment of the endpoint in bio-processing, Biotechnol Appl Biochem 42, 2005, 133–142, https://doi.org/10.1042/BA20050056. 42. P. Genest, J. Campbell, S. Crump, M. Cabatingan and F. Miao, An improved method for virus filter qualification and implementation: using flow decay to determine processing endpoint, Bioprocess Int 4, 2006, 44– 50. 43. D. Lacasse, P. Genest, K. Pizzelli, T. Greenhalgh, L. Mullin and A. Slocum, Impact of process interruption on virus retention of small-virus filters, BioProcess Int 11, 2013, 34–44. 44. D. Lacasse, S. Lute, M. Fiadeiro, J. Basha, M. Stork, K. Brorson, et al., Mechanistic failure mode investigation and resolution of parvovirus retentive filters, Biotechnol Prog 32, 2016, https://doi.org/10.1002/btpr.2298. 45. S. Dishari, A. Venkiteshwaran and A. Zydney, Probing effects of pressure release on virus capture during virus filtration using confocal microscopy: probing virus retention with confocal microscopy, Biotechnol Bioeng 2015, https://doi.org/10.1002/bit.25614. 46. Dishari SK, Micklin MR, Sung KJ, Zydney AL, Venkiteshwaran A, Earley JN. Effects of solution conditions on virus retention by the Viresolve® NFP filter. Biotechnol Prog. 2015 Sep-Oct;31(5):1280-6. doi: 10.1002/btpr.2125. Epub 2015 Jun 25. PMID: 26081350. 47. Yamamoto, A., Hongo‐Hirasaki, T., Uchi, Y., Hayashida, H. and Nagoya, F. (2014), Effect of hydrodynamic forces on virus removal capability of Planova™ filters. AIChE J., 60: 2286-2297. https://doi.org/10.1002/aic.14392 48. EMD Millipore Corporation. Virus retention performance of Viresolve® pro devices under a range of processing conditions. Literature No. MK_WP3374EN Ver. 1.0.2019-19591.08/2019. 49. H. Lutz, W. Chang, T. Blandl, G. Ramsey, J. Parella, J. Fisher and E. Gefroh, Qualification of a novel inline spiking method for virus filter validation, Biotechnol Prog 27, 2011, 121–128, https://doi.org/10.1002/btpr.500. 50. R. Specht and M. Bakhshayeshi, Session 4.1 case studies of application of generic claims and QbD for viral clearance authors: Rachel Specht and Meisam Bakhshayeshi, PDA J Pharm Sci Technol 70, 2016, https://doi.org/10.5731/pdajpst.2016.006957. 51. E. Gefroh, H. Dehghani, M. McClure, L. Connell-Crowley and G. Vedantham, Use of MMV as a single worst- case model virus in viral filter validation studies, PDA J Pharm Sci Technol 68, 2014, 297–311, https://doi.org/10.5731/pdajpst.2014.00978. 52. A. Zydney, Continuous downstream processing for high value biological products: a review, Biotechnol Bioeng 113, 2015, https://doi.org/10.1002/bit.25695. 53. C. Gillespie, M. Kozlov, M. Phillips, A. Potty, R. Skudas, M. Stone, et al., Integrating continuous and single-use methods to establish a new downstream processing platform for monoclonal antibodies, 2015https://doi.org/10.1002/9783527673681.ch04. 54. S.A. Johnson, M.R. Brown, S.C. Lute and K.A. Brorson, Adapting viral safety assurance strategies to continuous processing of biological products, Biotechnol Bioeng 114, 2017, 1362, https://doi.org/10.1002/bit.26245. 55. CONTINUOUS BIOMANUFACTURING, INNOVATIVE TECHNOLOGIES AND METHODS, edited by Ganapathy Subramanian, Wiley-VHC, 2018, Chapter 14: Evolving Needs For Viral Safety Strategies In Continuous Monoclonal Antibody Bioproduction, pp. 289-320, Andrew Clutterbuck, Michael A. Cunningham, Cedric Geyer, Paul Genest, Matilde Bourguignat, Helge Berg. RUNspike RUNspike Bacteriophage in place of mammalian virus Impact of Virus Prep Purity Impact of % flow decay Impact of % flow decay Impact of % process pause QbD (LRV report cards) In-line Virus Injection method QbD & modular validation
  • 35. PARVOVIRUS FILTRATION BEST PRACTICIES 32 References 56. T. Elich, E. Goodrich, H. Lutz and U. Mehta, Investigating the combination of single-pass tangential flow filtration and anion exchange chromatography for intensified mAb polishing, Biotechnol Prog 2019, https://doi.org/10.1002/btpr.2862. 57. G. Bolton, J. Basha and D. Lacasse, Achieving high mass-throughput of therapeutic proteins through parvovirus retentive filters, Biotechnol Prog 26, 2010, 1671–1677, https://doi.org/10.1002/btpr.494. 58. Bohonak, DM, Mehta, U, Weiss, ER, Voyta, G. Adapting virus filtration to enable intensified and continuous monoclonal antibody processing. Biotechnol Progress. 2021; 37:e3088. https://doi.org/10.1002/btpr.3088 59. Fan R, Namila F, Sansongko D, Wickramasinghe SR, Jin M, Kanani D, Qian X. The effects of flux on the clearance of minute virus of mice during constant flux virus filtration. Biotechnol Bioeng. 2021 Apr 3. doi: 10.1002/bit.27778. Epub ahead of print. PMID: 33811657.
  • 36. Applications Engineer, BioPharm Center of Excellence - Innovation + Influence = Impact Paul Genest The vibrant M, Millipore®, Viresolve® Millistak+® are trademarks of Merck KGaA, Darmstadt, Germany or its affiliates. All other trademarks are the property of their respective owners. Detailed information on trademarks is available via publicly accessible resources. © 2019 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.