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Merck KGaA
Darmstadt, Germany
Michael Phillips, Habib Horry, Michael Felo
Driving Value in the
Evolution Toward
Continuous Mab
Processing
The life science business of
Merck KGaA, Darmstadt, Germany
operates as MilliporeSigma
in the U.S. and Canada.
2
Table of Contents
Driving Value in the Evolution Toward Continuous Mab Processing
3
Market Trends
BPOG Technology Road Map
A Major Shift in Business Drivers
Market Growth
Cost Pressure
Uncertainty
New Product
Classes
Business Drivers
Flexibility
Reduce product change-
over time by 90%
Speed
Reduce new facility build
times by 70%. Compress
production lead time by
80%
Cost
90% reduction in cost to
manufacture and CAPEX
Quality
10X transformation in mfg.
robustness and reliability
Process Analytics
5
Next Generation Processing
https://www.biophorum.com/category/resources/tech
nology-roadmapping-resources/introduction/
Market Research
Drivers for Adoption of Next Generation Processing Technologies
Cost Control /
CoGs Reduction
90%
Facility
Flexibility
93%
Multiple Molecule
Pipeline
77%
Multi-Use
Product Facilities
73%
6
Market Research
The Many Definitions of Next Generation Processing
Process
Intensification
for existing
bottleneck
Process
Compression
Continuous
Processing
New greenfield
facility
leveraging
single-use
Industry
definitions of
Next Generation
Processing
Light Asset
Facility
??
7
8
Any technology, expendable, service, or system which
significantly changes the existing monoclonal
antibody manufacturing template to deliver:
Speed
Flexibility
Quality
Cost
Next Generation
Processing
Evolutionary
Approach to
Process
Intensification
10
Factory of the Future
Evolutionary Journey Across Many Disciplines
Timeline
Today
Near-term
Mid-term
End state
Process
Batch
Intensified
Connected
Continuous
Format
Stainless
Hybrid
Single Use
SU/Closed
Controls
Process Monitoring
Unit operation
control
Integrated process
control
Holistic process
control
Analytics
QC
Manufacturing
At-line
In-line/real-time
Software
Unit Operation
Control
Systems
Connectivity
Paperless Facility
Process Simulation
Focus Areas:
(1) Cell Culture Media For Intensified Processes
(2) Integrated Perfusion Bioreactor
(3) Protein A for Intensified Capture
(4) In-Line Viral Inactivation
(5) Flow Through Polishing Toolbox
(6) Single-Pass UF/DF
2018
2018-2020+
11
Poll 1
Upstream
Intensification
Strategies
MCB
200 vial
NN-1
or
x x
Seed TrainInoc. Train Production
MWCB
200 vial
BatchBatch
Intensified Seed Intensified Production
• Fed-batch
• Conventional
Perfusion
1. High Cell Density
Process Intermediates
2. Perfused Seed Train
1. High Seed Fed-Batch
2. Concentrated Fed-Batch
3. Ultra High VCD Fed-Batch
4. Steady State Perfusion
5. Dynamic Perfusion
Intensified Upstream
Several Opportunities for Intensified Upstream Processing
14
Intensified
Production
processes
Intensified Upstream
Intensified Production Processes – Single Harvest
N-1 N Typical
Processing Values
Conventional
Fed-Batch
14 – 21 days
VCD: 10 – 30 .106
Titer: 1 X
Concentrated
Fed-Batch
14 – 21 days
VCD: 100 – 200 .106
Titer: 3 – 6 X
Ultra High
VCD
Fed-Batch
14 – 21 days
VCD: 50 – 150 .106
Titer: 2 – 4 X
High Seed
Fed-Batch
9 – 16 days
VCD: 10 – 30 .106
Titer: 1 – 1.3 X
Perfusion
Batch
Batch
Batch
Fed-Batch
Fed-Batch
Fed-Batch
Perfusion
Perfusion
X
X
High Seed
Concentrated;
Ultra High VCD
Conventional
16
Intensified Upstream
Intensified Production Processes – Continuous Harvest
N-1 N Typical
Processing Values
Conventional
Perfusion
30+ days
VCD: 30 – 50 .106
VCD Controlled
High Density
Perfusion
30+ days
VCD: 50 – 100+ .106
VCD Controlled
Dynamic
Perfusion
14 – 21 days
VCD: 100 – 200 .106
No VCD Control
Perfusion
Perfusion
Perfusion
Batch
Batch
Batch
Conventional
High Density
Dynamic
17
Intensified
Seed Train
Processes
Intensified Upstream
Intensified Seed Train
Batch
x
1-2 mL
10 - 30 .106 VC/mL
N-1
or
x
Batch
MCB/MWCB Inoculum Train
Seed Train
Production
CRD
Perfusion
CRD
50-100 .106 VC/mL
or or
4.5mL 50-500 mL bag
CRD
CRD
N
CRD
(2) High Cell Density Process Intermediates
(1) Perfused Seed Train
19
Intensified Seed Train
Perfused Seed Train
14 days
10 days
Conventional
Fed-Batch
(~ 0.2 .106 VC/mL)
High Seed
Fed-Batch
(~ 5 .106 VC/mL)
Conventional
(Batch N-1)
3 days3 days3 days3 days
or
5 days
Compressed
Seed Train
High Seed
(N-1 only)
High Seed
(N-1 & N-2)
Compressed Seed Train: facility utilization and reduced footprint
High Seed: increased manufacturing capacity, facility utilization
8 days
or
3 days3 days3 days
10 days
or
3 days3 days3 days3 days
5 days8 days
or
3 days3 days3 days
20
Intensified Seed Train
High Cell Density Process Intermediate
Batch
x
1-2 mL
10 - 30 .106 VC/mL N-1
or
x
Batch
MCB/MWCB Inoculum Train
Seed Train
Production
50-100 .106 VC/mL
or or
4.5 mL 50-500 mL bagCRD
CRD
N
CRD
High Cell Density Process Intermediate
CRD
Perfusion
CRD
21
Upstream
value Modeling
23
What is Biosolve® Software?
• Excel-based process model from BioPharm Services
• Limited Calculates process economics
• Database of industry averages with the option for user-
specific information
Benefits of Process Modeling
1. Focus on the “holistic process”
2. Side-by-side evaluation of alternatives
3. Can run “what if”, sensitivity analyses
4. Clear communication of value
Unique Intensified Operation Modules of
Process Modeling
1. Perfusion seed train and production options
2. Continuous chromatography
3. Flow through polishing
4. Single-pass TFF
Biosolve® Software
The Benefits of Process Modeling (Value Modeling)
Upstream Value Modeling
Intensified (High) Seed Train
14 days
10 days
Conventional
Fed-Batch
(~ 0.2 .106 VC/mL)
High Seed
Fed-Batch
(~ 5 .106 VC/mL)
Conventional
(Batch N-1)
3 days3 days3 days3 days
or
5 days
High Seed
(N-1 Perfusion)
High Seed: increased manufacturing capacity, facility utilization
10 days
or
3 days3 days3 days3 days
60-300 mL 1-2 L 10 L 50-200 L
1600-
2000 L
24
Upstream Value Modeling
Assumptions
Conventional
Train
N-2
(Batch)
N-1
(Fed-Batch)
Production
(Fed-Batch)
Harvest Product
Titer
Reactor
Volume
200 L 500 L 2000 L 5 g/L
Duration 3 Days 5 Days 14 Days -
High Seed
Train
N-2
(Seed)
N-1
(Perfusion)
Production
(Fed-Batch)
Harvest Product
Titer
Reactor
Volume
50 L
Batch
200 L
(2 VVD)
2000 L
Fed-batch
5 g/L
Duration 3 Days 10 Days 10 Days -
• Value modeling focus on
upstream only (all other
processes held constant)
• Seed train bioreactor volumes
differ based on feed-in ratios
• High seed train scenario
duration 1 day longer than
base-case
• Production bioreactor run
is 4 days shorter
or
N-2 Seed N-1 Seed Production Centrifugation
Depth
Filtration
Full DSP
25
Upstream Value Modeling
Comparison with High Seed Train Scenario
11.5% COGS reduction with
High Seed Train Scenario
• N-2 reactor through depth filters
COGS Contribution
Lower COGS with High Seed Train despite higher media costs
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
26
Upstream Value Modeling
Impact on Plant Throughput
• High Seed Train Scenario provides:
• Shorter time in production
bioreactor
• Increased batches per year
• Additional production bioreactors
deliver further increase in capacity
High Seed: increased manufacturing capacity, facility utilization
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
27
Poll 2
Flow Through
Polishing in
Downstream
Processing
Toolbox Approach
Flow Through Polishing
Leached
Protein A
Aggregates
Virus
Host Cell DNA
Host Cell Protein
Others?
(Fragments,
Charge Variants)
Chemistries Matrices Devices
30
3
1
Flow Through Polishing
Existing Toolbox
▪ Eshmuno® CP-FT resin
Flow through aggregate removal at high
loading
5 – 10X buffer reduction
Easy implementation
▪ NatriFlo® HD-Q AEX membrane
Impurity clearance at high loading
High velocity operation (~1 sec RT)
▪ Millistak+® Pod CR depth filter
Activated carbon media
Binding: van der Waals interactions
Size-based selectivity
Impurity (MW) Capacity
Insulin 60 g/L
Methotrexate 75 g/L
Pluronic® F68
surfactant
75 g/L
Antifoam C > 16 g/L
31
Low pH
VI Pool
Virus
Filter
Pool
Carbon Depth Filter
+ FT-AEX
FT-CEX
+ Virus Filtration
In-line pH
Low pH
VI Pool
Depth
Filter
Pool
CEX
Pool
AEX
Pool
Virus
Filter
Pool
pH Adjust
& Dilution
Depth Filter Bind & Elute
CEX
FT-AEX Virus
Filtration
Traditional Batch Polishing
Flow Through Polishing
32
Batch vs. Integrated Implementation of Flow Through Technology
Robust Performance with Significant Footprint Reduction
Robust Purification across 8 Molecules
- High product yield (83 – 91%)
- Aggregates: < 1%
- Fragments: up to 1 LRV
- HCP clearance: < 10 ppm
Significant Facility Footprint Reduction
- Lower media and buffer requirements
- Eliminate intermediate hold tanks
- Single-skid operation
33
Value Modeling
What Value Does FT Polishing Deliver?
Bioreactor Clarification Affinity
Chromatography
Virus
Inactivation
CEX Bind and
Elute
Flow Through AEX Viral
Clearance
Final
Filtration
Concentration &
Diafiltration
Traditional Batch
(Baseline)
Depth
Filtration
Four polishing steps run continuously without intermediate hold steps
• Lower buffer volume
• Higher loading on chromatography media and virus filter
• Smaller facility footprint for systems, columns, and tanks
Bioreactor Clarification Affinity
Chromatography
Virus
Inactivation
Final
Filtration
Concentration &
Diafiltration
Flow Through
Polishing
Activated Carbon Flow Through
CEX
Flow Through
AEX
Viral
Clearance
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
Assumption Activated
Carbon
AEX FT CEX FT Virus
Filtration
Technology Millistak+®
Carbon Filter
Eshmuno® Q
resin
Eshmuno®
CP-FT resin
Viresolve®
Pro filter
Yield 93% 95% 95% 98%
Capacity 1500 g/m2 3000 g/L 1000 g/L 5000 g/m2
# Re-uses Single use 150 150 Single use
# Buffers 1 5 4 0
Activated Carbon Flow Through
CEX
Flow Through
AEX
Viral
Clearance
Value Modeling
34
35
Baseline Scenario vs. Flow Through Polishing
• Most significant savings capital, consumables, and labor
• Buffer reduction due primarily from switching CEX to flow through mode
10% COGS reduction
47% Buffer reduction
43% COGS reduction
87% Buffer reduction
Polishing alone… Total process…
Value Modeling Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
COGS Reduction with Varying Titers and Scales
Value Modeling
36
• Varying product titer and
bioreactor volume
• Comparison made between
batch and flow through
polishing processes
Benefits increase with
increasing titer &
independent of
bioreactor scale
37
Value Modeling – Baseline vs. FT Polishing
Impact on buffer volumes & facility footprint
CEX Bind and
Elute
Flow Through AEX
Virus
Filter
Depth
Filtration
Activated
Carbon
Flow Through
CEX
Flow Through
AEX
Virus
Filter
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
38
Value Modeling – Baseline vs. FT Polishing
Impact on buffer volumes & facility footprint
CEX Bind and
Elute
Flow Through AEX
Virus
Filter
Depth
Filtration
Activated
Carbon
Flow Through
CEX
Flow Through
AEX
Virus
Filter
X
X X X
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
39
Process Time Decreases Can Drive Output
Value Modeling
Bioreactor: 2k L fed-batch
Titer: 5 g/L Mab
Time Savings
• 72% decrease in polishing
process time
• 24% decrease in overall DSP
process time
• Replace B/E CEX contributes
most to decrease
Decreased Process Time
 More Batches / Year
12.4 hours
3.5 hours
Poll 3
Summary
Summary
Through the use of process
modeling significant improvements
identified with Flow Through
Polishing:
• COGS reduction 5-10%
• Footprint reduction through
reduced buffer volumes and
hold tanks
• 72% reduction in processing
time with flow through polishing
There is an evolution happening
in bioprocessing
• Step change in business drivers
• Intensification and Connection
• Increased Flexibility & Speed,
Decreased Risk & Cost
Perfusion operations in seed train
and production bioreactor can:
• Shorten overall process time
• Increase product titer
• Enable continuous processing
with constant harvest
42
Michael.Felo@emdmillipore.comHabib.Horry@emdgroup.com
Michael.Phillips@emdmillipore.com
Michael FeloHabib Horry
Michael Phillips
The vibrant M, Eshmuno, Millistak+, Viresolve, and NatriFlo 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.
© 2018 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.

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Driving Value in the Evolution Toward Continuous Monoclonal Antibody Processing

  • 1. Merck KGaA Darmstadt, Germany Michael Phillips, Habib Horry, Michael Felo Driving Value in the Evolution Toward Continuous Mab Processing
  • 2. The life science business of Merck KGaA, Darmstadt, Germany operates as MilliporeSigma in the U.S. and Canada. 2
  • 3. Table of Contents Driving Value in the Evolution Toward Continuous Mab Processing 3
  • 5. BPOG Technology Road Map A Major Shift in Business Drivers Market Growth Cost Pressure Uncertainty New Product Classes Business Drivers Flexibility Reduce product change- over time by 90% Speed Reduce new facility build times by 70%. Compress production lead time by 80% Cost 90% reduction in cost to manufacture and CAPEX Quality 10X transformation in mfg. robustness and reliability Process Analytics 5 Next Generation Processing https://www.biophorum.com/category/resources/tech nology-roadmapping-resources/introduction/
  • 6. Market Research Drivers for Adoption of Next Generation Processing Technologies Cost Control / CoGs Reduction 90% Facility Flexibility 93% Multiple Molecule Pipeline 77% Multi-Use Product Facilities 73% 6
  • 7. Market Research The Many Definitions of Next Generation Processing Process Intensification for existing bottleneck Process Compression Continuous Processing New greenfield facility leveraging single-use Industry definitions of Next Generation Processing Light Asset Facility ?? 7
  • 8. 8 Any technology, expendable, service, or system which significantly changes the existing monoclonal antibody manufacturing template to deliver: Speed Flexibility Quality Cost Next Generation Processing
  • 10. 10 Factory of the Future Evolutionary Journey Across Many Disciplines Timeline Today Near-term Mid-term End state Process Batch Intensified Connected Continuous Format Stainless Hybrid Single Use SU/Closed Controls Process Monitoring Unit operation control Integrated process control Holistic process control Analytics QC Manufacturing At-line In-line/real-time Software Unit Operation Control Systems Connectivity Paperless Facility Process Simulation
  • 11. Focus Areas: (1) Cell Culture Media For Intensified Processes (2) Integrated Perfusion Bioreactor (3) Protein A for Intensified Capture (4) In-Line Viral Inactivation (5) Flow Through Polishing Toolbox (6) Single-Pass UF/DF 2018 2018-2020+ 11
  • 14. MCB 200 vial NN-1 or x x Seed TrainInoc. Train Production MWCB 200 vial BatchBatch Intensified Seed Intensified Production • Fed-batch • Conventional Perfusion 1. High Cell Density Process Intermediates 2. Perfused Seed Train 1. High Seed Fed-Batch 2. Concentrated Fed-Batch 3. Ultra High VCD Fed-Batch 4. Steady State Perfusion 5. Dynamic Perfusion Intensified Upstream Several Opportunities for Intensified Upstream Processing 14
  • 16. Intensified Upstream Intensified Production Processes – Single Harvest N-1 N Typical Processing Values Conventional Fed-Batch 14 – 21 days VCD: 10 – 30 .106 Titer: 1 X Concentrated Fed-Batch 14 – 21 days VCD: 100 – 200 .106 Titer: 3 – 6 X Ultra High VCD Fed-Batch 14 – 21 days VCD: 50 – 150 .106 Titer: 2 – 4 X High Seed Fed-Batch 9 – 16 days VCD: 10 – 30 .106 Titer: 1 – 1.3 X Perfusion Batch Batch Batch Fed-Batch Fed-Batch Fed-Batch Perfusion Perfusion X X High Seed Concentrated; Ultra High VCD Conventional 16
  • 17. Intensified Upstream Intensified Production Processes – Continuous Harvest N-1 N Typical Processing Values Conventional Perfusion 30+ days VCD: 30 – 50 .106 VCD Controlled High Density Perfusion 30+ days VCD: 50 – 100+ .106 VCD Controlled Dynamic Perfusion 14 – 21 days VCD: 100 – 200 .106 No VCD Control Perfusion Perfusion Perfusion Batch Batch Batch Conventional High Density Dynamic 17
  • 19. Intensified Upstream Intensified Seed Train Batch x 1-2 mL 10 - 30 .106 VC/mL N-1 or x Batch MCB/MWCB Inoculum Train Seed Train Production CRD Perfusion CRD 50-100 .106 VC/mL or or 4.5mL 50-500 mL bag CRD CRD N CRD (2) High Cell Density Process Intermediates (1) Perfused Seed Train 19
  • 20. Intensified Seed Train Perfused Seed Train 14 days 10 days Conventional Fed-Batch (~ 0.2 .106 VC/mL) High Seed Fed-Batch (~ 5 .106 VC/mL) Conventional (Batch N-1) 3 days3 days3 days3 days or 5 days Compressed Seed Train High Seed (N-1 only) High Seed (N-1 & N-2) Compressed Seed Train: facility utilization and reduced footprint High Seed: increased manufacturing capacity, facility utilization 8 days or 3 days3 days3 days 10 days or 3 days3 days3 days3 days 5 days8 days or 3 days3 days3 days 20
  • 21. Intensified Seed Train High Cell Density Process Intermediate Batch x 1-2 mL 10 - 30 .106 VC/mL N-1 or x Batch MCB/MWCB Inoculum Train Seed Train Production 50-100 .106 VC/mL or or 4.5 mL 50-500 mL bagCRD CRD N CRD High Cell Density Process Intermediate CRD Perfusion CRD 21
  • 23. 23 What is Biosolve® Software? • Excel-based process model from BioPharm Services • Limited Calculates process economics • Database of industry averages with the option for user- specific information Benefits of Process Modeling 1. Focus on the “holistic process” 2. Side-by-side evaluation of alternatives 3. Can run “what if”, sensitivity analyses 4. Clear communication of value Unique Intensified Operation Modules of Process Modeling 1. Perfusion seed train and production options 2. Continuous chromatography 3. Flow through polishing 4. Single-pass TFF Biosolve® Software The Benefits of Process Modeling (Value Modeling)
  • 24. Upstream Value Modeling Intensified (High) Seed Train 14 days 10 days Conventional Fed-Batch (~ 0.2 .106 VC/mL) High Seed Fed-Batch (~ 5 .106 VC/mL) Conventional (Batch N-1) 3 days3 days3 days3 days or 5 days High Seed (N-1 Perfusion) High Seed: increased manufacturing capacity, facility utilization 10 days or 3 days3 days3 days3 days 60-300 mL 1-2 L 10 L 50-200 L 1600- 2000 L 24
  • 25. Upstream Value Modeling Assumptions Conventional Train N-2 (Batch) N-1 (Fed-Batch) Production (Fed-Batch) Harvest Product Titer Reactor Volume 200 L 500 L 2000 L 5 g/L Duration 3 Days 5 Days 14 Days - High Seed Train N-2 (Seed) N-1 (Perfusion) Production (Fed-Batch) Harvest Product Titer Reactor Volume 50 L Batch 200 L (2 VVD) 2000 L Fed-batch 5 g/L Duration 3 Days 10 Days 10 Days - • Value modeling focus on upstream only (all other processes held constant) • Seed train bioreactor volumes differ based on feed-in ratios • High seed train scenario duration 1 day longer than base-case • Production bioreactor run is 4 days shorter or N-2 Seed N-1 Seed Production Centrifugation Depth Filtration Full DSP 25
  • 26. Upstream Value Modeling Comparison with High Seed Train Scenario 11.5% COGS reduction with High Seed Train Scenario • N-2 reactor through depth filters COGS Contribution Lower COGS with High Seed Train despite higher media costs Bioreactor: 2k L fed-batch Titer: 5 g/L Mab 26
  • 27. Upstream Value Modeling Impact on Plant Throughput • High Seed Train Scenario provides: • Shorter time in production bioreactor • Increased batches per year • Additional production bioreactors deliver further increase in capacity High Seed: increased manufacturing capacity, facility utilization Bioreactor: 2k L fed-batch Titer: 5 g/L Mab 27
  • 30. Toolbox Approach Flow Through Polishing Leached Protein A Aggregates Virus Host Cell DNA Host Cell Protein Others? (Fragments, Charge Variants) Chemistries Matrices Devices 30
  • 31. 3 1 Flow Through Polishing Existing Toolbox ▪ Eshmuno® CP-FT resin Flow through aggregate removal at high loading 5 – 10X buffer reduction Easy implementation ▪ NatriFlo® HD-Q AEX membrane Impurity clearance at high loading High velocity operation (~1 sec RT) ▪ Millistak+® Pod CR depth filter Activated carbon media Binding: van der Waals interactions Size-based selectivity Impurity (MW) Capacity Insulin 60 g/L Methotrexate 75 g/L Pluronic® F68 surfactant 75 g/L Antifoam C > 16 g/L 31
  • 32. Low pH VI Pool Virus Filter Pool Carbon Depth Filter + FT-AEX FT-CEX + Virus Filtration In-line pH Low pH VI Pool Depth Filter Pool CEX Pool AEX Pool Virus Filter Pool pH Adjust & Dilution Depth Filter Bind & Elute CEX FT-AEX Virus Filtration Traditional Batch Polishing Flow Through Polishing 32 Batch vs. Integrated Implementation of Flow Through Technology Robust Performance with Significant Footprint Reduction Robust Purification across 8 Molecules - High product yield (83 – 91%) - Aggregates: < 1% - Fragments: up to 1 LRV - HCP clearance: < 10 ppm Significant Facility Footprint Reduction - Lower media and buffer requirements - Eliminate intermediate hold tanks - Single-skid operation
  • 33. 33 Value Modeling What Value Does FT Polishing Deliver? Bioreactor Clarification Affinity Chromatography Virus Inactivation CEX Bind and Elute Flow Through AEX Viral Clearance Final Filtration Concentration & Diafiltration Traditional Batch (Baseline) Depth Filtration Four polishing steps run continuously without intermediate hold steps • Lower buffer volume • Higher loading on chromatography media and virus filter • Smaller facility footprint for systems, columns, and tanks Bioreactor Clarification Affinity Chromatography Virus Inactivation Final Filtration Concentration & Diafiltration Flow Through Polishing Activated Carbon Flow Through CEX Flow Through AEX Viral Clearance Bioreactor: 2k L fed-batch Titer: 5 g/L Mab
  • 34. Assumption Activated Carbon AEX FT CEX FT Virus Filtration Technology Millistak+® Carbon Filter Eshmuno® Q resin Eshmuno® CP-FT resin Viresolve® Pro filter Yield 93% 95% 95% 98% Capacity 1500 g/m2 3000 g/L 1000 g/L 5000 g/m2 # Re-uses Single use 150 150 Single use # Buffers 1 5 4 0 Activated Carbon Flow Through CEX Flow Through AEX Viral Clearance Value Modeling 34
  • 35. 35 Baseline Scenario vs. Flow Through Polishing • Most significant savings capital, consumables, and labor • Buffer reduction due primarily from switching CEX to flow through mode 10% COGS reduction 47% Buffer reduction 43% COGS reduction 87% Buffer reduction Polishing alone… Total process… Value Modeling Bioreactor: 2k L fed-batch Titer: 5 g/L Mab
  • 36. COGS Reduction with Varying Titers and Scales Value Modeling 36 • Varying product titer and bioreactor volume • Comparison made between batch and flow through polishing processes Benefits increase with increasing titer & independent of bioreactor scale
  • 37. 37 Value Modeling – Baseline vs. FT Polishing Impact on buffer volumes & facility footprint CEX Bind and Elute Flow Through AEX Virus Filter Depth Filtration Activated Carbon Flow Through CEX Flow Through AEX Virus Filter Bioreactor: 2k L fed-batch Titer: 5 g/L Mab
  • 38. 38 Value Modeling – Baseline vs. FT Polishing Impact on buffer volumes & facility footprint CEX Bind and Elute Flow Through AEX Virus Filter Depth Filtration Activated Carbon Flow Through CEX Flow Through AEX Virus Filter X X X X Bioreactor: 2k L fed-batch Titer: 5 g/L Mab
  • 39. 39 Process Time Decreases Can Drive Output Value Modeling Bioreactor: 2k L fed-batch Titer: 5 g/L Mab Time Savings • 72% decrease in polishing process time • 24% decrease in overall DSP process time • Replace B/E CEX contributes most to decrease Decreased Process Time  More Batches / Year 12.4 hours 3.5 hours
  • 42. Summary Through the use of process modeling significant improvements identified with Flow Through Polishing: • COGS reduction 5-10% • Footprint reduction through reduced buffer volumes and hold tanks • 72% reduction in processing time with flow through polishing There is an evolution happening in bioprocessing • Step change in business drivers • Intensification and Connection • Increased Flexibility & Speed, Decreased Risk & Cost Perfusion operations in seed train and production bioreactor can: • Shorten overall process time • Increase product titer • Enable continuous processing with constant harvest 42
  • 43. Michael.Felo@emdmillipore.comHabib.Horry@emdgroup.com Michael.Phillips@emdmillipore.com Michael FeloHabib Horry Michael Phillips The vibrant M, Eshmuno, Millistak+, Viresolve, and NatriFlo 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. © 2018 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.