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| 1 Optimization of industrial freeze drying cycle - Two case studies DDF 2019 M.Nakach

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Page 1: Optimization of industrial freeze drying cycle - Two case studies · | 8 Data acquisition : redundant information The temperature profile is the main source of information , however

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Optimization of industrial freeze drying cycle - Two case studies

DDF 2019

M.Nakach

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Scope

● Context of the studies● Methodology● Product A example● Product B example● Conclusion

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Introduction : context of the studies● Redevelop a freeze drying process for internal manufacturing of :

● Two “old” products of the 60’s (called “A” and B”) performed with historical cycles in subcontract Manufacturing, to be transferred back in the company

● Historically very few process or physical chemistry data available due to the age of the products

● Pharmaceutical elegance issues for both products

● Take into account the characteristics of the target industrial machine :● 30 m² freeze dryer: 72000* 7 ml vials or 42000*15 ml vials ● Maximum sublimation rate ~10.5 kg/h mean flow (or 16 kg/h max flow) at 150

µbar, limited by hydrodynamics (shocked flow)● Capacitive pressure probe in chamber and ice trap + Pirani probe in the

chamber detection of the primary sublimation end point by pirani/capacitive pressure possible

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Scope

● Context of the studies● Methodology● Product A example● Product B example● Conclusion

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Methodology :

● The methodology was based on :● The product knowledge :

• does the product is crystalline or amorphous ? • Does annealing is an option or not ?• What is the critical temperature for the primary drying phase (Tg’, T

collapse, T eutectic) ?● The equipment knowledge :

• How does the heat transfer coefficients vary with the freeze dryer scale (lab or industrial?

• What is the maximum vapor flow that the freeze dryer can handlle?● The modeling and simulation

• The heat transfer coefficient (“Kv”) and mass transport resistance in the cake (“Rp”) are acquired at lab scale trials

• Simulations are performed in order to get optimal conditions

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Methodology : theory & parameters to measureA simple 1-D , quasi steady-state theory is sufficient to describe accurately the primary sublimation

From Steve L. Neil “ A Design Space Approach to Freeze Dry Cycle Development and Optimization “. April 2012 , Bio Pharma Solutions

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Experimental approach: Data acquisition & process optimization methodology

Experiment # 1

Experimental profiles :•Product Temperature

•Pirani/ MKS => PD end point•Condenser Tprofile ( sublimation rate approx. profile)

Freeze drying parameters : Kv, Rp(h)

Simulation of exp # 2, 3, 4 …

Final conditions

Prediction verification

Parameter fine tuning

Product characterization

Iteration loop

Lab scale : Martin Christ Epsilon 2-6 D, 2 shelfs having a total surface of 0.135 m² (270 vials), Ice capacity: 4kg/ 24 kPirani/MKS recording chamber, T shelf, T condenser, 3 product probes

The simulation allows to design experiments which should fit flow and temperature requirements

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Data acquisition : redundant information● The temperature profile is the main source of

information , however over information is available.

-93

-92

-91

-90

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-88

-87

30252015105

Aggressive cycle

conservative cycle

Tem

pera

ture

°C

Condenser TPirani

Capacitive

Example giving, the condenser outlet temperature provides a quite accurate image of the ice sublimation (=condensation in the trap) profile.

The Pirani/capacitive probe convergence provides the sublimation end point

Coherence of information is essential

T °C

P m

bar

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Scope

● Context of the studies● Methodology● Product A example● Product B example● Conclusion

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Case study: Challenges of the Product A● Product characteristics

● No excipient are used in the formulation● Fully Amorphous product (X-rays)● Low value of Tg’ =-35°C (modulated DSC)● Very diluted solution :~ 45 mg in 1,5 ml WFI strong

collapse is possible

M-DSC : Tg’ at -35°C● Productivity challenge :

● Historical cycle was very aggressive (shelf Temperature at 50°C) many collapsed samples

● 72000 (5 ml) vials on 30 m² shelves- About 100 kg of ice to sublimate

● The whole cycle should work within 24 hours

elegant Collapsed

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Product A historical cycle

● Product A historical cycle was very aggressive : ● too quick evaporation : the machine cannot support the flow● The product temperature raised well above the Tg’ high

collapse risk

Tg’-35

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Product A: Experimental strategy

● Experimental strategy : to define the quickest primary sublimation conditions which :● Keeps low temperature (below or close to Tg’) and good pharmaceutical elegance

of freeze dried cake ● Keeps the mean sublimation rate below ~10.5 kg/h, it is < 0.15 g/h.vial● Productivity : Overall FD cycle (freezing + PD + SD ) < 24 h

Shelf temperature

Cha

mbe

r pre

ssur

e

“Hot ice” & slow

“Hot ice” & quick

“cool ice” & very slow

-15°C -5°C-25°C

140µb(Tice :-39°C)

80µb(Tice :-44°C)

#2 #3

#1

The experimental strategy was based on performing 3 trials best conditions

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Example of data acquisition- Product A

freeze drying simulationGardenal 40 - Optimisation MAF 5

-48-46-44-42-40-38-36-34-32-30-28-26-24-22-20-18-16-14-12-10

-8-6-4-202

0 2 4 6 8 10 12 14

Time (h)

T (°C

)

simul bottom T

simul ice front T

Etagère

center vial measured T

TG'

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-45

-40

-35

-30

-25

-20

-15

-10

-5

0

0 2 4 6 8 10 12 14 16 18 20

Temps (heures)

T°C

0,100

1,000

Pres

sion

(mba

rs)

T°C étagère T°C produit Pression MKS Pression Pirani

Kv ~ 10 W/m²°C (140µb)

0

1

2

3

4

5

6

0,0 0,1 0,2 0,3 0,4 0,5 0,6

Hauteur gateau sec (cm)

Rp

(Tor

r.cm

2.h/

g)

Série1

Série3

Rp = function of dry cake Low Rp values due to high cake porosity – The temperature does not increase a lot during PD-Stays close to the ice temperature at Pchamber

Probe out of ice

End of PD : pirani = MKS

Extrapolated bottom T

End of PD : pirani = MKS

extrapolated

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Results of lab scale trials

Optimized conditions : Tshelf -5°C , P= 150 +/- 10 µbars

P.Drying 12.5 -13 h

•Xrays :amorphous halo

•Pore size ~tenths of microns

•Very porous

Shelf temperature

Cha

mbe

r pre

ssur

e

“Hot ice” & slow

“Hot ice” & quick

“cool ice” & very slow

-15°C -5°C-25°C

140µb(Tice :-39°C)

80µb(Tice :-44°C)

#2 #3

#1“elegant” 0,14 g/h.vial

“elegant” 0,09 g /h.vial

“elegant” 0,07 g /h.vial

“Hot ice” & quick

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Industrial scale-up

The chamber /trap P indicates the gas flow rate

The Pirani/MKS signal indicates the PS end /point

For the first industrial trial, the transition to secondary drying is made “manually”, after Pirani came back to base line,

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Industrial scale-upFirst trial : Tshelf -5°C ,P: 150 µb P Drying : 12.5 h (similar pilot) Tmax ~-25°C

Product OK (elegance and water content)

Second trial : Tshelf 0°C ,P: 150 µb P Drying : 11.5 h (similar pilot) Tmax ~-25°C

Product OK (elegance and water content) conditions kept for validation

comparison pilot/industrial

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-10,0

-5,0

0,00 2 4 6 8 10 12 14

time

prod

uctT

°C

shelf

Lab sclae (trial 5)

f irst industrial trial

140 µbar

150 µbar

3 validation batches successfully performed

Industrial T profile very close to lab scale

The water vapor flow can be deduced from the chamber to condenser pressure drop

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Case study 2 – Product B

● Formulation product B● Pure API – no excipient● High API concentration ~28% High Rp and product heating should be anticipated● Solution height in the vial~1.4cm (vial 7mL)

● Industrial scale● 72000 vials● ~170 kg of ice to trap

● Pharmaceutical elegance was not acceptable: Many defects observed using the historical cycle~15%● Double layer, crevices x x

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Product B – basic data ● Solid form

● Partly & randomly crystalline product)

● DSC ● Tg’ @ -25°C (if non crystallized)

● Teutectic @ -3°C

Inte

nsité

(u.a

.)

3530252015102

Lot #147 Lot #148 Lot #150

After annealing at -10°C no more Tg’Tg’ -25°C

The API randomly crystallizes during the freeze drying- It may recrystallize consistently when an annealing (>1/2 hour) @ -10°C is applied

But eutectic temperature = -3°C

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Product B – historical cycle

The historical cycle was characterized by a regular increase of shelf temperature

The product temperature was going over Tg’ and over the eutectic temperature and may be over 0°C

Eutectic !

!Tg’

Temperature recordings –old cycle

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Product B: Experimental Strategy

● To understand the effect of annealing on the product crystallinity (real freeze drying conditions).

● To perform a “reference” trial with the “old” aggressive cycle in order to verify that the elegance issue can be duplicated at lab. scale

● To perform a trial with or without annealing determine the highest sublimation rate :● Limiting Tp< Teutectic (in practice T< -5°C)● Compatible with the known industrial FD evaporative capacity ● Compatible with the previous “dossier” specification

● To anneal or not to anneal that is the question ?

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Reference cycle (lab trial)

● No annealing● Very quick sublimation PD~17h (Pirani) ● Tp > 0°C at the end of PD

Inte

nsité

(u.a

.)

3530252015102

Lyophilisat Cycle #3

crevice

Partly amorphous

The lab trial confirms that it is possible to reproduce large scale issues : validates the use of the lab scale ( Epsilon 2-6D)

Most vials have an elegance issue

Eutectic (-3°C)

-40

-20

0

20

40

Tem

péra

ture

(°C

)

2520151050Temps (h)

0.2

0.1

Pres

sion

(mba

r)

Cycle #3 (Maisons-Alfort)Température (°C): Pression (mbar):

Produit - milieu MKSProduit - arrière PiraniProduit - façadeConsigne étagère

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Reference cycle – Sublimation flow

● Mean flow : 0,22g/h/vial 16kg/h full scale (72000 vials)● Max flow : 0,26g/h/vial 19kg/h full scale (72000 vials)

freeze drying simulation ancien cycle thiophenicol

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0

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20

30

40

0 5 10 15 20

Time (h)

T (°C

)

0

0,05

0,1

0,15

0,2

0,25

0,3

Flux

éva

pora

toire

(g/h

.flac

on)

simul bottom Tsimul ice front TEtagèreExperimentalSérie6

Flow

Too much for the machine

Simulation vs Experimental – reference cycle

Simulation is in agreement with experimental data

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Annealing effect (very slow cycles, Tshelf -25°C)

● Cycle #1: no annealing-

-40

-20

0

20

40

Tem

péra

ture

(°C

)

403020100

Temps (h)

0.2

0.1

Pre

ssio

n (m

bar)

Cycle #1Température (°C): Pression (mbar):

Produit - milieu MKSProduit - arrière PiraniProduit - façadeConsigne étagère

-40

-20

0

20

40

Tem

péra

ture

(°C

)

403020100Temps (h)

0.2

0.1

Pres

sion

(mba

r)

Cycle #2Température (°C): Pression (mbar):

Consigne étagère MKSProduit - milieu PiraniProduit - arrièreProduit - façade

Inte

nsité

(u.a

.)

3530252015102

Lyophilisat Cycle #1

Inte

nsité

(u.a

.)

35302520151052

Lyophilisat Cycle #2

Cycle #2: annealing-10°C 1 h

Amorphous XRPD

Compliant aspect

Crystalline XRPD

Compliant aspect

Real freeze drying conditions confirm the impact of a -10°C annealing on the cake cristallinity

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Simulation vs experience: product B

00.050.10.150.20.250.30.35

-50.00-40.00-30.00-20.00-10.00

0.0010.00

0 10 20 30

Subl

imat

ion

flow

(g/h

-via

l)

Tem

pera

ture

(°C

)

Time (h)

simulation/experience - Cycle # 6 product B

simul bottom Tsimul ice front Tshelf TExperimental product T

Kv =11 W/m²°C

P= 100 µb

A very high value of Rp is observed – This is consistent with the continuous heating of the vials, The shape of the Rp (height) curve does not fit with the usual convex scheme (“Pikal” model)

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Industrial trial 1- Pharmaceutical Elegance issueFor first industrial trial it was decided not to anneal :

Surprising defects were observed. 3 zones cakes : central zone was slightly collapsed but : no melting, no bubble like defect- No puffing

Explanation : the upper part is amorphous, due to absence of annealing and not collapsed because of the low initial temperature- the medium part is amorphous too but collapsed due to T>Tcollapse. Eventually the bottom part is exposed to high temperature (-10°C ) and can recrystallize (in situ annealing)

To anneal …. That is the answer !

crystalline

amorphouscollapsed

No collapseT < -25°C

Collapse-25°C < T < -10°C

CrystallineT > -10°C

3530252015102

Flac

on #

1Fl

acon

#2

Flac

on #

3

Dessus du flacon Fond du flacon

Vial

#1

Via

l #2

Via

l #3

TopBottom

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Proposal to speed up the sublimation step

Inverted profile : plateau at +10° C the decrease @ 5 may allow to win 2 hours sublimation (simulation 29.5 h)

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0,0

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0 10 20 30 40

Temps (h)

Tem

péra

ture

(°C

)

0

0,05

0,1

0,15

0,2

0,25

Flux

éva

pora

toire

g/h

.flsimul bottom T

simul ice front T

Etagère

Flux théorique nouveau cycle

Max flow ~10.1 kg/h

The most dangerous zone is the end of the primary sublimation : indeed due to the high Rp value, the ice front is hot, the shelf temperature should be moderated,Vice versa at the beginning, the ice front is at lower temperature : it makes sense to accelerate the sublimation rate at the beginning and to slow it at the end !

Mean flow: ~7,5kg/hMax flow : ~10 kg/h

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Industrial Cycle 2 – simulation vs . realityEssai 2- sonde centrale

simul vs exp

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Time (h)

Tem

pera

ture

(°C

)

0

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0,15

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0,25

Evap

orat

ive

capa

city

g/h

.flsimulation bottom T simulation front T shelf

Experimental sonde centrale theoritical evaporative flow

The simulation is very close to the experimental results ( with a probe positioned far from the border)

center

Water content : 0,1% in all tested vials

Annealing crystalline cake

10.000 vials inspected : No defects

About 15 % increase in Yield and 15 % decrease in the industrial cost of goods

7000

6000

5000

4000

3000

2000

1000

a.u.

3530252015102

vial #1- top vial #1- bottom vial #2- top vial #3- top

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Product B final proposal for validationIndustrial trials shelf T profile

-60

-40

-20

0

20

40

60

0 10 20 30 40 50

time (h)

T°C

Trial 2Profile for validation

Longer freezing step

Annealing

For elegance

Longer plateau at 10°C to speed-up

Shorter by 1 hour to be sure to keep operation below 48 hours

Three successful validation batches , then routine production

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CONCLUSION● Application of the methodology :

● Basic physical chemistry information (Tg’, eutectic temperature …)

● Going forth and back from simulation to experiment and experiment interpretation through theoretical parameters (Kv, Rp(h)) provides insight in the physics of the sublimation and allows to understand and predict

● Straightforward approach : elegance & industrial issues solved

● Concrete benefit:● Validation batches with full rational

● Compliant product

● Optimized productivity

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Acknowledgements ● Thanks to all the team members that contributed to make

this deliverable happened :

● Marie Wacquet● Cecile Allais● Lionel Bardet● Estelle Brun● J.R.Authelin● Stephane Devaux● Christian Hermandesse● Tim McCoy ● Charlene Moitie

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Thank You

Do you have questions ?