crystal engineering for product & process designcastdiv.org/archive/doherty_webcast.pdf ·...
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1
Crystal Engineering for Product & Process Design
Michael F. Doherty
Department of Chemical Engineering
University of California
Santa Barbara
Special Thanks to Dan Green, DuPont Company
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Acknowledgements
2
PeopleDaniel WinnNancy LapeHerbert HofmannVered Bisker-LeibSagar GadewarMax MullerYongchun ZhangJacob SizemoreRyan SnyderAndrea RobbenJeff Ward
FundingBASFDuPontMerckNSF-CTSNSF-MRLRhodiaUnileverUCSB
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Role of Engineer in Industry
3
To make, evaluate and justify technical decisions in support of business
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Why Crystals?
4
• Crystalline organic solids ubiquitous inchemicals & specialty chemicalshome & personal carefood and pharma
• Almost 100% of small MW drugs are isolated as crystalline materials
• Over 90% of ALL pharmaceutical products are formulated in particulate, generally crystalline form
• Pharma industry worldwide > $300 billion/year sales
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Why Modeling?
5
“If you can’t model your process, you don’tunderstand it. If you don’t understand it, you can’t improve it. And, if you can’t improve it, you won’t be competitive in the 21st century.”
Jim Trainham, DuPont
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Perspectives
6
Engineers believe that their models approximate nature
Scientists believe that nature approximates their models
Mathematicians don’t give a damn either way
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Outline
7
1. Phase diagrams & crystal quality
2. Material properties & product functionality
3. Design for desired material properties
- crystal engineering for product design
4. Scale up & process synthesis
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Solid – Liquid Equilibrium
8
T(°C)
P = 1 atm
xsolute0
solvent(Water)
1solute
(Succinic Acid)
0 (°C)
188 (°C)
Solid solute inequilibrium
with liquid solution
Solubility of Succinic Acid (Based on Qiu and Rasmuson 1990)
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
160.00
15 20 25 30 35 40
Saturation Temperature (oC)
Load
of S
ucci
nic
Aci
d (g
/kg
wat
er)
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Succinic Acid
9
T(°C)
C(g/L solution)
Metastable
2.2 (°C)Hofmann & Doherty
{~5 g/L solution(Qin & Rasmusm)
{
Unstable
Stable
24 (°C) 30 (°C)
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Apparatus after experiment of 30 min, 0.8K below the metastable zone width (succinic acid saturated at 24 C)
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Polymorphism
12
• The polymorph that is selected can affect:Solubility, Shape, Melting Point, Bioavailability, Compressibility, Growth and Dissolution Rate, Taste, Color, Stability, Flowability, Patentability…
• The transition from one polymorph to another usually occurs more easily in a solution mediated mechanism, rather than a direct solid-solid transition.
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Solution-Mediated Polymorphism
13
0.2mm
Time = 0 hrs. Time = 15 hrs.
Time = 30 hrs. Time = 45 hrs.
Time lapse photos of a transition between forms 1 and 2 of dihydroxybenzoic acid (Davey et al.)
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Polymorphs of Ritonavir
14
• Ritonavir – Main component in an Abbott Labs HIV drugCommercial Startup – Jan. 1996Early 1998 – Many final product lots began to fail a dissolution test
• A new, previously unknown, thermodynamically more stable and much less soluble crystalline form (polymorph) appeared after two years of production
They were no longer able to produce the marketed form.US-FDA web site 1998, “Abbott Laboratories is experiencing manufacturing difficulties with the capsule formulation of our HIV protease inhibitor, Norvir (ritonavir), which will result in a shortage of capsules. We have encountered an undesired formation of a Norvir crystalline structure that affects how the capsule form of Norvir dissolves …”
• It is vital to know about polymorphs as early as possible, and it is important to understand their interconversion for processing.
Chemburkar, et. al., “Dealing with the Impact of Ritonavir Polymorphs on the Late Stages of Bulk Drug Process Development,” Organic Process Research and Development, 4, 413 (2000)
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Ibuprofen grown out of hexane
Ibuprofen grown out of methanol
Gordon & Amin US Patent 4,476,248 issued to The Upjohn Company
• Objective of the invention: “an improved crystalline habit and crystal shape of ibuprofen”
• Method of crystallization from polar solvents, such as methanol, ethanol (instead of hexane or heptane).
• Faster dissolution rate, larger particle size, lower bulk volume, reduced sublimation rates and improved flow properties.
Crystal Shape - Ibuprofen
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Crystal Size
16
• Beta-carotene – food colorant. Color shade is determined by the narrow size distribution in the submicron range
• New brilliant ink pigments in the nanoparticle size range
• Tungsten carbide particles – narrow size distribution in the 5-7 micron range
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Key Issues for Process Development
17
• How to design for the desired material properties?
crystal puritymean particle size and particle size distributionpolymorphparticle shapeenantiomer
• How to scale up?vessel designsystem design & process synthesis
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Equilibrium Crystal Growth & Shape
18
• Idealized shape at infinitesimal supersaturation and looooooooooong times
• Gibbs equilibrium condition for shape of facetted crystals (1877-78)
• Wulff (1901) construction - solves the Gibbs minimization problem
min , . .i ii
A s t fixed Vγ∑
C. Herring, “Some Theorems on the Free Energies of Crystal Surfaces,”Phys. Rev., 82, 87-93 (1951)
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Wulff Construction
d1
d4
d2
d3d5
d6
γ2
γ3
γ4
γ5
γ6
γ1
1 2
1 2
i
id d dγγ γ
= = =
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Reservations About the Theory
20
Gibbs (Collected Works, pp. 325-326)
“On the whole it seems not improbable that the form of very minute crystals in equilibrium with solvents is principally determined by the condition that ( ) shall be a minimum for the volume of the crystal, but as they grow larger (in a solvent no more supersaturated than is necessary to make them grow at all), the deposition of new matter on the different surfaces will be determined more by the orientation of the surfaces and less by their size and relations to the surrounding surfaces. As a final result, a large crystal, will generally be bounded by those surfaces alone on which the deposit of new matter takes place least readily. But the relative development of the different kinds of sides will not be such as to make ( ) a minimum”.
i ii
Aγ∑
i ii
Aγ∑
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Reservations About the Theory
21
Landau & Lifshitz (Statistical Physics, p. 520)
“It must be emphasized that the crystal shape observed under ordinary conditions is determined by the condition of growth of the crystal and is not the equilibrium shape.”
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Steady-State Growth Shapes
22
d1
d4
d2
d3d5
d6
v2
v3
v4
v5
v6
v1
1 2
1 2
i
i
vv vd d d
= = =
A. A. Chernov, “The Kinetics of the Growth Forms of Crystals,”Soviet Physics-Crystallography, 7, 728-730 (1963)
Real growth shapes at low supersaturation
Chernov Condition
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Facetted Growth
23
Thomas, L. A., N. Wooster, and W.A. Wooster,Crystal Growth, Discussions of the Faraday Society, 343 (1949)
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Crystal Shape and Growth Models
24
• Crystals grow by the flow of steps across the faces
• Sources of steps2-D nuclei - birth and spread modelspirals growing from screw dislocations
• Sources of edges – strong bond chains (PBC’s)
• Sources of docking points for solute incorporation –kinks on edges (missing molecules along bond chains)
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Spiral Growth of Organic Crystals
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Step Formation
26
Spirals from a Screw Dislocation (BCF)
2-D Nucleation / Birth & Spread
Vstep
Rhkl
dhkly
Paloczi, et. al., Applied Physics Letters, 73,1658 (1998)
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BCF Growth Model
27
Vistep
Rhkl
dhklyihkliihkl ydvR )/( =
Rate of growth normal to face hkl
i = edge i on face hkl
s velocitiestep and spiral of shape on depends )( hkliy
1 , )]/exp(5.01[)( −+∝ RTav ikinkhklphkli φ
1 , )]/exp(5.01[)(
−+∝ RTaydR ikink
hklphkli
hklhkl φ
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Boltzmann Distribution of Kinks
28
Bulk
Bulk
v1
v2
kink1φ
kink2φ
kT
kT
kT kinki
kinki
ee
ekinknop
ikinkp φφ
−
−
−
== 0)() ,(
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Kinks on Steps of Ferritin Crystal
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Solid State and Solvent Effects
30
Face velocities depend on:
crystallography (unit cell, space group, etc)
atom-atom pair potentials (including charge distribution)
bond chains (we have a fast, automated new method for finding them) and kink energies
growth unit
solvent5.0)(2 s
dlslAslls W γγγγγγγ −+=−+=
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General Principle
31
The faster the rate of growth of a face, the smaller its size on the crystal
Fast faces grow out and do not appear on the final steady growth shape
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The Model
,ii i
dx u xdξ
= − Href
H1
G2
G3
G4
ii
dH Gdt
=
ii
ref
HxH
= ii
ref
GRG
= ref
ref
Gd dt
Hξ =
( )refii i
ref
Gdx R xdt H
= −
Eigenvalues = -1
Unique Stable Steady State
, 1,..., 1ii i
dx R x i Ndξ
= − = −
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Href
H1
G2
G3
G4Steady States
ii i
dx R xdξ
= −
0i iR x− =
1 2
1 2
1N
N
RR Rx x x
= = = =
Chernov
Condition1 2
1 2
constantN
N
GG GH H H
= = = =
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Discrete Events at Vertices
34
• Geometric Elements Crystal: 3-D polyhedron bounded by flat facesEdges: intersection of 2 facesVertices: intersection of 3 or more faces
• Euler's Polyhedral RuleConvex polyhedronUnder shape changesNumber of virtual faces, edges
max 3 max 21,N N VV C E C E∆ = − ∆ = −
2F V E+ − =
0F V E∆ + ∆ − ∆ =
N = number of faces that meet at the vertex under consideration
EV = number of edges that meet at the vertex under consideration = N
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Effect of Random Seed Shape
35
A
B
128
7
6 5
4
3
1
2
3
46
8 82
6
1
3
56
88
1
2
36
3
82
64
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Succinic Acid Grown from Water
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3-D Shape Evolution: Adipic Acid
37
(1 0 0)
(0 0 2) (-1 0 2)
(-1 1 1)
(0 1 1)
(1 0 0)
(0 0 2)(-1 0 2)
(0 1 1)
(-1 1 1)
(2 0 -2)
(1 0 0)
(0 0 2)
(-1 0 2)
(0 1 1)
(-1 1 1)
(2 0 -2)
(1 0 0)
(0 0 2)(-1 0 2)
(2 0 -2)
(0 1 1)
(-1 1 1)
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Application - Ibuprofen
38
a
c
b
100002
011
100
002
011
Storey & York (1997)Ibuprofen grown from methanol
Storey & York (1997)Ibuprofen grown from hexane
Predicted – ibuprofen grown from hexane (top) and methanol (bottom)
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Application – alpha glycine
39
alpha-glycine grown from aqueous solution
Experiment – Boek, Feil, Briels & Bennema,J. Cryst. Growth, (1991)
Prediction – Bisker-Leib & Doherty, Crystal Growth Des., (2003)
(b) dimer growth unit(c) monomer growth unit
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Population Balance Modeling
40
• Shape Factor:
• Link: Shape Evolution Model PBM
• One Dimensional MSMPR Crystallizer
( ),v hkl lh kk h G ⎯⎯⎯⎯⎯→
Population Balance:
Solute Mass Balance:
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Size & Shape Evolution – Succinic Acid
41
0 500 1000 15000
20
40
60
80
100
120
140
160
h020 (µm)
n (li
ter-1
⋅µm
-1) 0 500 1000 1500
0
50
100
150
200
Initial and steady-state distribution Size distribution transient dynamics
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Initializing the Model: Nucleation & Polymorph Selection
3 24 4 (1)
3solute
solute
G r rv
µπ π γ
∆∆ = − +Gibbs-Thomson Theory
r (nm)
∆G (kJ)
3D Nucleation of α-glycine
100 200 300 400 500
4 e-17
2 e-17
-2 e-17
0
Critical Diameter = 600 nm
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Recent Experiments
43
A flat near-critical sized cluster consisting of approx. 20apoferritin molecules (Yau and Vekilov, Nature 2000).
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Observations
44
• Critical nucleus sizes are in the range of 10’s of nm, e.g., 40 nm for apoferritin
• Molecular arrangement within the nucleus is similar to that in the bulk crystal
• “Contrary to the general belief, the observed nuclei are not compact molecular clusters, but planar arrays of several rods of 4-7 molecules set in 1 or 2 monomolecular layers. Similar unexpected nuclei structures might be common, especially for anisoptropic molecules. Hence, the nucleus structure should be considered as a variable by advanced theoretical treatments.” (Yau &Vekilov)
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Additional Important Issues
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• Scale-upCFD – spatially non-uniform conditions
• Optimization & controlCompartmental models (Bermingham et al., Delft)Exchange rates between cells?
• Process synthesisDouglas, Ng, et al.Crystallization paths are usefulProcess alternatives selected on the basis of economics
• Material properties (product design) not yet considered (other than size)
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Opportunities
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• Polymorphic phase transformations• Additives & impurities• Nucleation and polymorph selection• Solvents/co-solvents/anti-solvents• Complex bond chains, H-bonds, growth units• Racemic mixtures, enantiomeric resolution• From single particles to suspensions• Process models & process systems engineering• Process intensification by division of tasks• Experiments
on surfaces for model validationfor polymorph selectiongrowth units & precursors
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Molecules to Products
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