In this webinar, you will learn:
- how to measure filter performance and capacity,
- how to optimize filter virus removal capability,
- and avoid potential pit-falls
Detailed description:
This webinar will cover all aspects of parvovirus filtration best practices: process development/ optimization, pilot scale-up, and validation and explain the important connections between these activities. The rationale for the recommended best practices will be explained by discussing the underlying mechanisms that control filter performance.
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.
ViresolveĀ® Pro
Shield / ViresolveĀ®
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?
āaggregateā
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 āaggregateā?)
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 āaggregateā?)
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, 54ā61.
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 ViresolveĀ® Vpro user PD
optimization project
less
plugging
lower pH
more
plugging
higher pH
* specific behavior can vary from molecule to molecule
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 Viresolveā¢
Prefilter, Biotechnol Appl Biochem 43, 2006, 55ā63,
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, 627ā637,
https://doi.org/10.1002/bit.22729.
effective
adsorptive
prefilters
14. Viresolveā¢ Prefilter ViresolveĀ® Pro Shield
Feed pH and conductivity impact adsorptive prefilter performance
mixed mode / hydrophobic Viresolveā¢ Prefilter (VPF) is less impacted,
where cation exchange ViresolveĀ® 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. ViresolveĀ® Pro Shield H
pros and cons [filter suppliers have adsorptive prefilter selection guides to help:
VPF, Shield, Shield H, Millistak+Ā® 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 Viresolveā¢ Prefilter, Biotechnol
Appl Biochem 43, 2006, 55ā63,
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, 54ā61.
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
ViresolveĀ® NFP
ViresolveĀ® 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
ViresolveĀ® NFP ViresolveĀ®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)
22. The virus filter validation process (for virus filter alone)
PARVOVIRUS FILTRATION BEST PRACTICIES
22
Feed Sample
(Cvf)
30 psi
2. Filter āSpikedā Solution
3.1 cm2
* ~ 107 ā 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
ļ·
ļ·
ļø
ļ¶
ļ§
ļ§
ļØ
ļ¦
=
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
ā¢ 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
ā¢ 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
ā¢ 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
ā¢ 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
ā¢ 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, 54ā61.
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, 54ā61.
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, 26ā36.
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, 440ā449, 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, 54ā61.
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, 1ā42.
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, s55ā63, 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, 2065ā2069.
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, 182ā188, 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, 782ā795, 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, 715ā729, 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.
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, 133ā142,
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, 44ā
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, 34ā44.
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 ViresolveĀ® 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., HongoāHirasaki, T., Uchi, Y., Hayashida, H. and Nagoya, F. (2014), Effect of hydrodynamic
forces on virus removal capability of Planovaā¢ filters. AIChE J., 60: 2286-2297. https://doi.org/10.1002/aic.14392
48. EMD Millipore Corporation. Virus retention performance of ViresolveĀ® 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, 121ā128, 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, 297ā311,
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, 1671ā1677, 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.