1 Polymorphism and Pharmaceuticals Steve Byrn [email protected].

64
1 Polymorphism and Pharmaceuticals Steve Byrn [email protected]

Transcript of 1 Polymorphism and Pharmaceuticals Steve Byrn [email protected].

Page 1: 1 Polymorphism and Pharmaceuticals Steve Byrn stephen.byrn@gte.net.

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Polymorphism and Pharmaceuticals

Steve Byrn

[email protected]

Page 2: 1 Polymorphism and Pharmaceuticals Steve Byrn stephen.byrn@gte.net.

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DimensionsDimensions

• Solid State Chemical Science

• Regulatory

• Patents

• Speed to market Public health Costs

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Solid State TechnologySolid State Technology

Dosage Choice Manufacturing

Formulation & Drug Delivery

Marketing & Further Product ImprovementsPatents

Quality Control

RegulatoryStability

Research

Purification and Process

Development

Toxicology

no

d

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Cardinal RulesCardinal Rules

HISTORICAL DATA DERIVED FROMTRIAL-N-ERROR EXPERIMENTATION

HEURISTIC RULES“Rules of Thumb”

EMPIRICAL

MODELS

MECHANISTICMODELS

Rules

Make the SameThing Every Time

Know What You Have

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Eliminate The Pipeline ProblemEliminate The Pipeline Problem

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Process Development

Clinical Trials

Drug ProductManufacture

Drug SubstanceManufacture

Formulation

Process Development

Preformulation

Synthesis

DISCOVERY LAUNCH1 - 6 Years

Polymorph DiscoveryPolymorph Discovery

Early full Comprehensive(lifecycle)

may include salt, cocrystal, &

amorphous forms

Focused

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Frequency of Multiple FormsFrequency of Multiple Forms

Based on about 150 studies:

87% > than 1 form51% multiple polymorphs 37% hydrates39% amorphous 31% solvates

SSCI Data

0

5

10

15

20

25

30

35

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

Num

ber o

f Com

poun

ds

Number of Solid Forms

(Pat Stahly)

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Prediction from Energy-Temperature Prediction from Energy-Temperature DiagramsDiagrams

E nergy-Tem perature D iagram

SolubilityStability

Dissolution Dosage Form

0

10

20

30

40

50

60

70

0 10 20 30 40 50 60 70 80 90 100 110 120

Time (min)

Flu

oxet

ine

HC

l Con

cent

ratio

n (m

M)

Fluoxetine HCl:Fumaric Acid

Fluoxetine HCl:Succinic Acid

Fluoxetine HCl

Fluoxetine HCl:Benzoic Acid

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ICH Decision Tree - Polymorphs: ICH Decision Tree - Polymorphs: Question 1Question 1

Note broad definition of polymorphs

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ICH Decision Tree - Polymorph Question 2ICH Decision Tree - Polymorph Question 2

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ICH Decision ICH Decision Tree - Question 3Tree - Question 3

For solid dosage form or liquid containing undissolved drug substanceN.B. Undertake the following process only if technically possible

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Law,et al., J. Pharm. Sci. 93 (2004) 563

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Law,et al., J.Pharm.Sci. 93 (2004) 563

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15(Ralph Pfeiffer)

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FFoouurr

SSii

mmppllee

RROOYY

DDeerriivvaattiivveess

S

NC

NH

NO2

4'

5Me

S

NC

NH

Me

NO2

4'

5Me

S

NC

NH

NO2

4'

5

S

NC

NH

Me

NO2

4'

5

C. A. Bunnell (Eli Lilly, 1995) X. He, U. Griesser (2001)

H. Li (2003) J. Hatakama (2005)

The Original ROY 4’-Me-ROY

5-norMe-ROY 4’-Me-5-norMe-ROY

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TThhee

OOrriiggiinnaall

RROOYY

S

NC

NH

NO2

4'

5Me

ROYC.A. Bunnell (Eli Lilly, 1995)

OPorange plates

ORPorange-red plates

Rred prisms

ONorange needles

YNyellow needles

Yyellow prisms

Yu, et. al. J. Am. Chem. Soc. 2000, 122, 585-591

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44’’--MMee--RROOYY

• Four Polymorphs

S

NC

NH

Me

NO2

4'

5Me

DRdark red

LRlight red

Rred

Oorange

He, et. al. J. Pharm. Sci. 2001, 90, 371-388.

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55--nnoorrMMee--RROOYY

• Two Polymorphs

S

NC

NH

NO2

4'

5

100 m

Oorange

100 m

Rred

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FFoouurr

SSii

mmppllee

RROOYY

DDeerriivvaattiivveess

S

NC

NH

NO2

4'

5Me

S

NC

NH

Me

NO2

4'

5Me

S

NC

NH

NO2

4'

5

S

NC

NH

Me

NO2

4'

5

C. A. Bunnell (Eli Lilly, 1995) X. He, U. Griesser (2001)

H. Li (2003)

6 Polymorphs 4 Polymorphs

2 PolymorphsThis Work

? Polymorphs

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SSyynntthheessiiss

ooff

44’’--MMee--55--nnoorrMMee--RROOYY

98.4g (53%) 46.8g (18%)

ca 36g (14%)a

a: Needs further purification

F

NO2

NaH / THFS

NC

NH

NO2

S

NC

H2NS

S OH

HO

CN

CN

( 2 eq)

NaOH

1 2

3

4

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PPoollyymmoorrpphh

DDiissccoovveerryy

• Simple heat-cool method

• Evaporation method

• Vapor diffusion method

• Hotstage/melt methods

• Vapor deposition method

• Rapidly changing the

solvent by pouring the

solution into anti-solvent

• Even for solvent based

methods there are

> 700,000 experiments

• Need rational approach

Vapor diffusion

Vapor depostion

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• Initial crystallization studies gave only a red form (R4’M5N).

• Is this the first ROY derivative with only one form?

RReedd

FFoorrmm

RR44’’

MM55NN

-1000

0

1000

2000

3000

4000

5000

6000

5 10 15 20 25 30 35 40

2 Theta

Toluene

CH3CNEtOH

IPA

R4’M5N

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SSeeeeddiinngg

wwiitthh

ootthheerr

RROOYY

DDeerriivvaattiivveess

• Using yellow needles of 5-Et-ROY as seed crystals

• Slow evaporation method in EtOH at room temperature afforded orange form (O4’M5N).

Not cocrystal

Pure orange form

S

NC

NH

NO2

5

Y5ETS

NC

NH

Me

NO2

4'

5

O4’M5N

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XXRRPPDD

OO44’’

MM55NN aanndd

RR44’’

MM55NN

-1000

0

1000

2000

3000

4000

5000

6000

7000

5 10 15 20 25 30 35 40

2 Theta

Jin-03047A

Jin-03041B

R4’M5N

O4’M5N

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NNeeww

FFoorrmm

ooff

44’’--MMee--55--nnoorrMMee--RROOYY

OO44’’

MM55NN

R4’M5N O4’M5N Y5ET

Color

Red Orange Yellow

XRPD A B -

mp (°C)(Capillary)

142-143 139-140 104-105

R4’M5N has higher mp.

R4’M5N is stable form ?

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XX--RRaayy

CCrryyssttaallllooggrraapphhyy

• Crystal structures of each form were solved.

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TThhee UUnniitt CCeellllss

O4’M5N R4’M5N

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EEqquuiilliibbrriiuumm SSoolluubbiilliittyy iinn EEttOOHH

RReessuullttss

• van’t Hoff Plot

y = -4788.7x + 16.684

R2 = 0.9955

y = -4222.8x + 15.002

R2 = 0.9939

-0.4

0.0

0.4

0.8

1.2

1.6

2.0

2.4

2.8

3.2

0.0028 0.0030 0.0032 0.0034 0.0036

1/T

Ln

C

ln C = a + b•T-1

r2 > 0.99

a b r2

R4’M5N

15.002

-4222.

80.994

O4’M5N

16.684

-4788.

70.996

Regression Coefficients

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EEqquuiilliibbrriiuumm SSoolluubbiilliittyy iinn EEttOOHH

RReessuullttss

• Relative Energy-Temperature Diagram

Free Energy-Difference

ΔGR,O

= RTln(CR /C

O)

y = -13.985x + 887.26

-200

0

200

400

600

800

1000

0 10 20 30 40 50 60 70

Temperature [C]

Fre

e E

nerg

y D

iffer

ence

[J/m

ol]

63.5°C

a. Calculated values from the regression line, y = 16.684 - 4788.7x.b. Calculated values from the regression line, y = 15.002 - 4222.8 x.

a b

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RReellaattiivvee

EEnneerrggyy--TTeemmppeerraattuurree

DDiiaaggrraamm

Dc

a

l

c

(calcd. density)mp

Solubility

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CCoonncclluussiioonn

• Fourth derivative of simple ROY has been newly synthesized.

• In initial polymorph study, various crystallization conditions gave only a red form (R4’M5N).

• Seeding with another ROY (Y5ET) afforded new form (orange form, O4’M5N).

• Solubility studies showed that the new form (O4’M5N) is the most stable form at room temperature

• The red and orange forms are enantiotropic

• Red form adopts the most planar conformation among ROY compounds.

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Strategies to Find New FormsStrategies to Find New Forms

• Guillory methods

• Seeding with related compounds

• Templated crystallization (Epitaxial growth)

• Ultrasound, Lasers

• Capillary crystallization Studied 18 top selling drugs The form on the market is most stable Found new forms in 13 cases

• Only 4 are solvates• In 9 of the 13 cases, the new forms could also be made by

other methods(Barbara Stahly)

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Why Capillaries?Why Capillaries?

supersaturation ratiosas high as 60 have beenachieved

(Ken Morris)

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Plots of Fraction of Most Stable Form vs Supersaturation for two conditions: (top) 50 mg/mL; and (bottom) 100 mg/mL.

As supersaturation increases fraction of most stable form decreases

Childs, Crystal Growth & Design, 4, 441 (2004)

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Fundamental Studies Using ROYFundamental Studies Using ROY

Morris, K.; Hilden, J.; Kelm, M.; Reyes, C. Purdue University, to be published

0

2

4

6

8

10

12

2 4 6 8 10 12 14 16

Saturation at Crystallization

Fre

quen

cy ONYPORPNew?

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OH3C

CH3

OThe anti-inflammatory Relafen®One solid form reported in the literature

SSCI Case Study: NabumetoneSSCI Case Study: Nabumetone

• About 250 traditional solvent experiments provided only the known Form I

• In capillaries new Form II was obtained in 18% of the experiments

• Appearance of Form II depended on supersaturation and quiescence, not solvent

Chyall, Crystal Growth & Design, 2, 505 (2002)

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1000 m

Nabumetone Form II

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X-ray Powder Diffraction X-ray Powder Diffraction Software and Analysis of Software and Analysis of Crystal Structures using Crystal Structures using

XRPDXRPD

Co

nfi

de

nti

al

(Simon Bates)

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Figure 1Example dendrogram from pattern matching program

based on modified HCA

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Figure 2

Pattern matching result

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Figure 3

Single cluster

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XRPD Pattern Analysis - Use of Electron XRPD Pattern Analysis - Use of Electron Density map for RietveldDensity map for Rietveld

Rietveld analysis (MAUD) using electron density for Quantitative analysis

Form A: 67.4%

Form C1: 32.6%

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XRPD Pattern Analysis: IndexingXRPD Pattern Analysis: Indexing

Monoclinic P21/n: a=14.724 b=7.0953 c=21.5057 beta=103.77

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XRD Pattern Analysis: Physical Properties XRD Pattern Analysis: Physical Properties PredictionPrediction

Form A Morphology

Form C1 Morphology

Density Stability Rule

Form A density = 1.19 g/cm^3

Form C1 density = 1.18 g/cm^3

Experimental Occurrence

Form A: 123 ; Form C1: 32

Inter-conversion: < 95° C: Form C1 >> Form A Inter-conversion: > 95° C: Form A >> Form C1

Form C1 proved difficult to manufacture!

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XRPD Pattern Analysis: The Next Step - 2.) XRPD Pattern Analysis: The Next Step - 2.) Pair-Wise Distribution FunctionsPair-Wise Distribution Functions

• Fourier Sine Transform of Reduced Structure Factors -> PDF. Can be used on 1D or 3D diffraction data. Used to isolate characteristic repeats and

packing of atoms within solid forms. Identify Order-Disorder relationships. Break Down Complex Molecular Structures

into Building Blocks.

• Improved Pattern Matching

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XRPD Pattern Analysis - PDF & Order - XRPD Pattern Analysis - PDF & Order - Disorder relationshipsDisorder relationships

Measured XRPD patterns - are materials related?

Significant Peak broadening!

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XRPD Pattern Analysis - PDF & Order - XRPD Pattern Analysis - PDF & Order - Disorder relationshipsDisorder relationships

Loss of long range order in disordered form

Local Order matches

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5.33Å

10.3Å17.1Å

Characteristic Length Scales

Distance in Å

XRPD Pattern Analysis - The PDF Transform XRPD Pattern Analysis - The PDF Transform for Indomethacin (Gamma)for Indomethacin (Gamma)

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10.3Å Cl-Cl distances

17.1Å Cl-Cl distancesView of crystal structure for Gamma form using Cl as a central atom.

Cl forms a very simple lattice acting as a frame for the organic components.

Gamma Form

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12 minutes

30 minutes

0 minutes

XRPD Pattern Analysis - The PDF TransformXRPD Pattern Analysis - The PDF Transform

Cryo-grinding of IMC gamma

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Loss of long range order

12 minutes

30 minutes

0 minutes

40.0Å

XRPD Pattern Analysis - The PDF TransformXRPD Pattern Analysis - The PDF Transform

Residual memory

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Utilization of XRPD SoftwareUtilization of XRPD Software

• Predict Stability Density rule Tunnel area

• Select candidates for development Number of forms not as important as the fact

that several forms exist with about the same energy

• Analyze amorphous forms Determine residual order Predict ease of crystallization

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FDA InitiativesFDA Initiatives

Critical Path

Industrialization - GMP 21st Century Safety Medical Utility

PATQUALITYSYSTEMS

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FDA Critical PathFDA Critical Path

Safety

Medical

Industrial-ization

Critical Path

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PAT = Process UnderstandingPAT = Process Understanding

HISTORICAL DATA DERIVED FROMTRIAL-N-ERROR EXPERIMENTATION

HEURISTIC RULES“Rules of Thumb”

EMPIRICAL MODELS

MECHANISTICMODELS

Rules

Current Level of Knowledge

Desired Level of Knowledge

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PAT Integrated into Drug Substance PAT Integrated into Drug Substance ManufacturingManufacturing

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Sensor StrategySensor Strategy

PCCP variables –Model dev/refine

What variables should be important?

Sensor development and refinement

What variables are measurable?

Production - Scale up/down/same

Product performance

PCCP variables –Model dev/refine

What variables should be important?

Sensor development and refinement

What variables are measurable?

Production - Scale up/down/same

Product performance

(Ken Morris)

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Raman Monitoring of Polymorph During Raman Monitoring of Polymorph During CrystallizationCrystallization

0 100 200 300 1200 1300 1400 1500

0

50

100

150

200

250

Co

nce

ntr

atio

n (

mg

/mL

)

Time (minutes)

Solute FormIII FormI

(Lynne Taylor)

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Desired Future StateDesired Future State

• Quality by Design Know what you have – form discovery

• Specifications based on mechanistic understanding

• Continuous quality assurance Make the same thing every time

• Risk based regulatory scrutiny

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ConclusionConclusion

• Know what you have – polymorph discovery

• Make the same thing every time – characterization/analytical aspects

• Speed is paramount• Major advances in application of

XRPD • Quality by design – Risk based

regulations

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Eliminate The Pipeline ProblemEliminate The Pipeline Problem

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XXRRPPDD

PPaatttteerrnnss

• Comparison between theoretical and observed pattern

O4’M5N R4’M5N

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Number of ExperimentsNumber of Experiments

• 60 solvents – 60x60=3600

• 10 concentrations – 36000

• 10 temperature changes (or 10 evaporation rates) – 360,000

• With and without stirring – 720,000