Brigitta Bodák1, Marco Mazzotti1. 1. Institute of Energy and Process Engineering, ETH Zurich, 8092 Zurich, Switzerland.
Abstract
Solid-state deracemization via temperature cycles converts a racemic crystal mixture into an enantiopure product by periodic cycling of the temperature in the presence of a racemization catalyst. A continuous counterpart of this conventional batch-operated process is proposed that can be performed in mixed suspension mixed product removal crystallizers (MSMPRCs). More specifically, three different configurations are described to perform periodic forcing via temperature cycles, which differ from each other in the type of the feed and in the withdrawal system. We have developed a model by extending our recent population balance equation model of batch solid-state deracemization via temperature cycles, and we exploit this tool to analyze the start-up and periodic steady-state behavior. Moreover, we compare the performance of the different configurations based on the selected key performance indicators, namely, average periodic steady-state enantiomeric excess and productivity. The process with solution feed yields pure enantiomers, while the solid and suspension-fed process alternatives result in highly enantiomerically enriched crystals. We further design an MSMPRC cascade to overcome this purity limitation. This work discusses guidelines on how to transform the batch process of temperature cycles into a continuous operation, which enables stable, unattended operation and chiral crystal production with consistent product quality.
Solid-state deracemization via temperature cycles converts a racemic crystal mixture into an enantiopure product by periodic cycling of the temperature in the presence of a racemization catalyst. A continuous counterpart of this conventional batch-operated process is proposed that can be performed in mixed suspension mixed product removal crystallizers (MSMPRCs). More specifically, three different configurations are described to perform periodic forcing via temperature cycles, which differ from each other in the type of the feed and in the withdrawal system. We have developed a model by extending our recent population balance equation model of batch solid-state deracemization via temperature cycles, and we exploit this tool to analyze the start-up and periodic steady-state behavior. Moreover, we compare the performance of the different configurations based on the selected key performance indicators, namely, average periodic steady-state enantiomeric excess and productivity. The process with solution feed yields pure enantiomers, while the solid and suspension-fed process alternatives result in highly enantiomerically enriched crystals. We further design an MSMPRC cascade to overcome this purity limitation. This work discusses guidelines on how to transform the batch process of temperature cycles into a continuous operation, which enables stable, unattended operation and chiral crystal production with consistent product quality.
Application
of crystallization-based separation of racemic mixtures
to obtain exclusively the enantiomer with the desired pharmacological
effect is of high relevance in the pharmaceutical industry. Solid-state
deracemization exploits liquid phase racemization to convert the nondesired
enantiomer to the preferred one, and it can be performed either via
grinding a suspension of crystals[1,2] or via applying
temperature cycling[3−9] (TC). In order to deracemize a chiral compound using the processes
described here, three criteria need to be fulfilled: (i) it has to
be a conglomerate-forming compound; (ii) a racemization reaction in
solution must be feasible, to enable conversion between the two enantiomers;
and (iii) an enantiomerically pure solid must be available to provide
an enantiomerically enriched seed population.[2,4,7,10] Though only
10% of organic chiral species are conglomerate-forming compounds,
they are of increasing industrial interest.[11] Moreover, though deracemization is typically applied to compounds
with a single chiral center, there are also examples related to molecules
with multiple stereocenters.[12] In order
to exploit the advantages of continuous operation,[13,14] such as better quality consistency[15,16] and a larger
effective utilization time,[17] continuous
crystallization processes have been adapted for the separation of
conglomerate-forming enantiomers. Continuous preferential crystallization
is a well-known choice,[18,19] and it is the preferred
method also in case racemization of enantiomers in the solution proves
difficult.[20] If a racemization method is
available, continuous Viedma ripening processes can be performed.[21,22] The recent advances in implementing TC as an industrial process
include its scale-up in coupled mixed-suspension vessels,[23] which were kept at low and high temperatures
at a 50 mL scale; later, the scale-up was shown to be feasible in
a 1 L vessel with the usage of a homogenizer.[24] Another step toward industrial application is based on the batch
temperature cycling experiments carried out in a microwave reactor,[25] i.e., exploiting very fast heating and cooling
rates, and its continuous alternative was presented by employing spatial
thermal oscillations in a tubular flow millireactor.[26] In a recent work, the feasibility of performing continuous
temperature cycles in a continuous tubular crystallizer was demonstrated.[27] Nevertheless, to the best of our knowledge,
application of periodic temperature cycles in mixed suspension mixed
product removal crystallizers (MSMPRCs) for the purpose of solid-state
deracemization has not been reported.Yet, forced periodic operation
of reactors is not uncommon in the
field of chemical engineering. In case there are nonlinear effects
in the process, the periodic modulations of the inputs can result
in a better time-average performance than what one would obtain by
operating the process in the steady state.[28] Thus, these periodic regimes are superior with respect to the optimal
steady-state operation without periodic forcing, in terms of, for
instance, selectivity and conversion.[28−34] In this work, first, we present periodic forcing via temperature
cycles (PFTC) in various single-stage MSMPRC schemes and in a multistage
MSMPR cascade configuration (section 2). Second,
we extend the balance equations of batch temperature cycles to develop
a model of PFTC that allows studying process dynamics and potential
steady states (section 3). Then, we identify
regions of operating conditions where enantiomerically pure crystals
can be produced (section 4). Finally, the
effect of selected process parameters (such as residence time, feed
concentration, and cooling rate) on the performance indicators of
the various configurations is comparatively assessed.
Process Design
Periodic forcing via temperature cycles is
a solid-state deracemization
process performed in a continuous crystallizer with liquid phase racemization
and forced periodic operation of the temperature, aimed at producing
enantiopure crystals of the desired enantiomer in a continuous manner.
The crystallizer initially contains a saturated liquid with the racemization
catalyst and a crystal population enriched in the desired enantiomer.
The process is operated with continuous feed and continuous withdrawal,
with forced periodic cycling of the temperature. In this work, three
different types of feed are considered, namely, a solution feed, a
solid feed, and a suspension feed, as indicated in Table .
Table 1
Summary
of Configurations Presented
to Perform Periodic Forcing via Temperature Cycles in Terms of Type
of Feed and Recycle Utilized
configuration
type of feed
wet
mill
recycle
base
solution
preferred, to
generate particles
none
A
solid
optional
liquid
B
suspension
optional
none
cascade
solid
optional
liquid
In the base configuration, which is shown
in Figure , a racemic
solution constitutes the feed,
while a suspension is continuously withdrawn from the crystallizer.
This withdrawn suspension must contain crystals of the desired enantiomer
only so as to obtain an enantiomerically pure product; thus, only
this type of crystal should be present in the crystallizer. Therefore,
a mechanism is required to continuously generate new crystals of only
the desired enantiomer. Three mechanisms can form new crystals of
the same handedness as the parent crystal in a continuous crystallizer,
namely, (i) breakage, (ii) primary nucleation, and (iii) secondary
nucleation. First, breakage is caused by for instance collisions between
crystals and stirrer, or, alternatively, through the action of a milling
unit when present.[21] Then, primary nucleation
can occur in this process only at conditions where the concentration
of the undesired enantiomer is larger than that of the desired enantiomer
(this is a constraint as we want to convert the former into the latter
through the racemization reaction).[35] Therefore,
primary nucleation of the desired enantiomer must be avoided, so as
to avoid the nucleation of the undesired enantiomer; this can be avoided
by keeping the supersaturation level below a (primary nucleation-)
specific threshold. Finally, secondary nucleation occurs either by
attrition, thus forming new crystals of the same handedness as the
parent crystals or via other mechanisms[36−40] that could in principle create nuclei of both enantiomers.
The latter mechanism must clearly be prevented, namely, by keeping
the supersaturation level below a (secondary nucleation-) specific
threshold, which is even lower than the previous one. Such physical
complexity is accounted for in the model by allowing for the formation
of new nuclei of the desired enantiomer via secondary nucleation by
attrition,[41] as described in Table , and by constraining the simulations
in such a way that the supersaturation with respect to the undesired
enantiomer is kept below a given threshold, so as to avoid both its
secondary and its primary nucleation. To model the mechanisms that
occur in this process in a simple manner, both breakage and the formation
of new nuclei of the desired enantiomer by secondary nucleation can
be described as secondary nucleation via attrition by a simple breakage
model,[41] as Table describes.
Figure 1
Crystallizer configurations to perform
periodic forcing via a temperature
cycles (PFTC) process: base configuration: solution-fed PFTC; configuration
A: solid-fed PFTC with liquid recycle stream; configuration B: suspension-fed
PFTC.
Table 2
Constitutive Equations
of the PBE
Model
Crystallizer configurations to perform
periodic forcing via a temperature
cycles (PFTC) process: base configuration: solution-fed PFTC; configuration
A: solid-fed PFTC with liquid recycle stream; configuration B: suspension-fed
PFTC.Alternatively, one can
feed a racemic solid and convert it into
enantiomerically pure solid, as in the case of configuration A illustrated
in Figure . The suspension
is withdrawn, and the crystalline product is obtained after filtration,
while the liquid phase is completely recycled to the crystallizer
from the filter, in order to keep the crystallizer volume constant.Besides feeding either only solid or only liquid phase, feeding
a suspension is also a viable option, as it is illustrated in Figure , process configuration
B. Recycling of the liquid phase is not necessary in this configuration,
as the crystallizer volume is kept constant by the continuous feed
of the suspension. By feeding not only the racemic solid phase, but
also a racemic solution to the MSMPRC, we reduce the asymmetry in
the crystallizer, and thus less pure product and inferior process
performance are expected.In the configurations where the feed
stream contains racemic crystals
of both enantiomers (i.e., configurations A and B), the undesired
enantiomer is introduced into the system in the solid phase, and thus
an additional step is needed compared to the solution-fed process,
namely, the dissolution of its crystals to enable racemization. Therefore,
one can in principle expect inferior process performance in terms
of productivity with respect to the base configuration; this is the
first aspect in which the base configuration is expected to outperform
configurations A and B. The second aspect is the lower enantiomeric
purity of the product. It is an intrinsic property of a continuous
mixed reactor that the product stream always contains the components
of the feed stream, as a consequence of perfect mixing.[42] It is therefore straightforward, based on chemical
reaction engineering principles, that only for the configuration,
which does not contain crystals of the undesired enantiomer (i.e.,
base configuration), attaining complete enantiomeric purity is feasible.
Note that the only feed strategy utilized as to date in continuous
tubular temperature cycles experiments is the suspension feed,[26,27] which is not the preferred feeding strategy in an MSMPR crystallizer,
as it is expected to underperform the other two feed strategies. However,
one could overcome the intrinsic limitation of continuous mixed flow
reactors, e.g., by using a cascade of reactors. Moreover, in configurations
A and B, as crystals are fed to the process, no crystal-generating
unit such as the wet mill is required, which simplifies operation.
PFTC Cascade
Continuous crystallization
is often carried out in multiple crystallizers, and thus we exploit
this possibility also here by performing PFTC in a 2-MSMPRC cascade.
In this configuration, crystals are continuously fed to the first
crystallizer, C1, from which a suspension is pumped to C2, as shown
in Figure . The suspension
leaving C2 is directly filtered, the solid is harvested, and the filtrate
is completely recycled to C1. In both crystallizers, the temperature
is cycled: the minimum temperature in both vessels is set to Tmin, and the temperature differences within
a cycle, ΔT1 and ΔT2, are set in C1 and C2 accordingly. Therefore, Tmax,2 is not necessarily equal to Tmax,1, and we adjust the heating/cooling rates in C2 to
obtain the same heating and cooling times, t1 and t3, so as to synchronize
temperature cycling in the two crystallizers. An additional case when
ΔT2 = 0 is investigated as well,
thus effectively mimicking the utilization of a dissolution vessel.
In this cascade, the first crystallizer provides continuous seeding
to the second reactor; these seeds are highly enriched in the desired
enantiomer. Consequently, in the second reactor, at higher temperature
than the first, the remaining small amount of crystals of the undesired
enantiomer can dissolve. By operating in this way, small amounts of
crystals of the desired enantiomer dissolve as well, but a high product
purity can be achieved.
Figure 2
Solid-fed PFTC cascade.
Solid-fed PFTC cascade.
Mathematical Model
Constitutive
Equations
The model
of the continuous process is based on the batch variant, see section
3 in our previous work[43] for details. The
thermodynamic and kinetic features of the model are accounted for
through the constitutive equations, summarized in Table for enantiomer i, (i ∈ {D, L}). It is worth noting that we are using a size-dependent solubility
model, which enters into the definition of the driving force of both
growth and dissolution.[43−45]Nucleation is not accounted
for in the model, which is reasonable up to a system-specific supersaturation
degree that is the threshold beyond which nucleation occurs. The values
of the parameters presented here and their meaning are listed in Table . The particle size
distribution (PSD) of enantiomer i, f, is a function of particle size, L, and time, t. In our model, we define
the PSD in units of the number of crystals per unit crystal length
and unit mass of the solvent. The nth moment of the
PSD is defined asand the nominal supersaturation is . The solid phase enantiomeric excess of
the d enantiomer, ee, is defined as the
difference between the mass of the d enantiomer, mD, and that of the l enantiomer, mL, divided by their sum:The temperature profile is the typical profile
applied in batch experiments,[7] which is
defined by periodic temperature cycling between Tmin and Tmax, with ΔT = Tmax – Tmin. Heating up the system to large temperature and thus
removing all crystals of the undesired enantiomer in a single cycle
are in general not possible because organic compounds remain stable
only below a system-specific temperature threshold. The temperature
cycle consists of four stages: a heating ramp with a time duration
of t1, a high-temperature isothermal phase
for t2, a cooling ramp for t3, and a low-temperature isothermal phase for t4. The reference time, tr is equal to the duration of the entire temperature cycle,
i.e., t = t1 + t2 + t3 + t4. When the cooling rate
is varied, t3 and tr are adjusted accordingly. The operating conditions regarding
temperature profile and scaling factors are reported in Table .
Table 3
Values
of the Model Parameters[43,45]
parameter
notation
value
activation energy of dissolution
Ed,i [kJ kmol–1]
12000
activation
energy of growth
Eg,i [kJ kmol–1]
12000
activation energy of
racemization
Er [kJ kmol–1]
75000
breakage rate constant
kb [s–1]
10–4
pre-exponential factor of dissolution
kd,i [μm s–1]
200
pre-exponential factor of growth
kg,i [μm s–1]
100
pre-exponential factor of racemization
kr,i [s–1]
1011
surface shape factor
ks [−]
π
volume shape factor
kv [−]
π/6
universal gas constant
R [kJ kmol–1 K–1]
8.314
shape parameter of daughter distribution
q [−]
6
solubility parameter
q0,i [g g–1]
400
solubility parameter
q1,i [K]
2500
capillary length constant
α0 [K m]
9.2 × 10–7
crystal density
ρc [kg m–3]
1300
solvent density
ρsolvent [kg m–3]
786
Table 4
Scaling Factors and Operating Conditions
Kept Identical in Simulations[43,45]
parameter
notation
value
reference size
Lr [μm]
100
reference time
tr [s]a
3600
time of heating period
t1 [s]
600
time of isothermal high T period
t2 [s]
600
time of cooling period
t3 [s]a
1800
time of isothermal low T period
t4 [s]
600
minimum
temperature
Tmin [K]
298
reference
temperature
Tr [K]
273
These
parameters are adjusted
when the cooling rate is varied.
These
parameters are adjusted
when the cooling rate is varied.
Balance Equations
The assumptions
made in developing the model of the continuous process arethe residence time in the tubing,
used for transfer
of the solution and of the slurry, is negligible;the solution density is approximated by the solvent
density, which does not change significantly within the temperature
range considered;the suspension/solution
entering the MSMPRC attains
immediately the temperature of the receiving MSMPRC;the solid–liquid separation is considered to
be perfect, i.e., without any loss of solvent;the mixing is perfect (i.e., the suspension is homogeneous),
and there is no classification at withdrawal.The equations are presented for the base configuration,
and the derivation of the equations for other PFTC configurations
shown in Figure is
straightforward and therefore only shown in the Supporting Information (see section S1). The system of equations consists of the population balance equations:The first term on the left-hand side of eq accounts for accumulation in the crystallizer
of crystals of the enantiomer i between L and L + ΔL, and the second
term accounts for growth and dissolution; on the right-hand side of
the equation, B(L, c, T) and D(L, c, T) are the birth and death terms due to breakage (or due
to agglomeration, as in our previous work[43]), whereas the last term accounts for the outlet stream, with residence
time, tres, defined aswhere m is the mass of solvent
in the crystallizer, and ṁout is
the mass flow rate of the outgoing stream, which is set to be identical
to the mass flow rate of the feed. When the wet mill is included,
we model the crystallizer and the mill as a single unit, and m represents the mass of solvent in this coupled unit. We
note that in configuration A, the solid feed is characterized by its
mass flow rate and its PSD, called Ṁin and N, respectively,
whereas in configuration B, fin, and ṁin are the PSD and
the flow rate of the suspension feed, respectively.The PBEs
of eqs are
coupled with the following mass balances:where cin, is the concentration of enantiomer i in the
feed stream. The left-hand side of eq accounts for accumulation, whereas the first term
on the right-hand side accounts for the racemization reaction, and
the second and third terms describe the inlet and outlet flows of
the MSMPRC. The initial and boundary conditions arewhere the initial supersaturation in the crystallizer
is set equal to that of the feed solution.The model equations
are formulated assuming diluted conditions,
i.e., of a suspension density less than 15%. In this case, choosing
as basis the mother-liquor volume or the suspension volume is essentially
the same, according to Randolph and Larson.[46] The case of higher suspension densities is beyond the scope of this
work though the extension of the model is straightforward.[47]In practice, one transforms the equations
into a system of nondimensional
equations, as discussed in our previous work.[43] For details on the nondimenional system of equations, see section S2 in the Supporting Information; the rescaled quantities are reported in Table . Note that the initial
PSDs are truncated Gaussian distributions, defined by their mean size
(calculated based on the first and zeroth moments), λ̅, and standard deviation, σ̃. In case crystals are fed, the feed PSDs
are defined by their mean size and standard deviation, which we set
to be identical to those of the initial PSD. Tables and 8 summarize the
initial conditions and the process parameters used in the simulations.
Table 5
Rescaling of the Model[43,45]
rescaled quantities
notation
definition
rescaled PSD
f̃i
= fiLr
rescaled third moment
ϕ̃3,i
rescaled time
τ
rescaled residence time
τres
rescaled size
λ
rescaled growth rate
G̃i
rescaled racemization
rate
κr,i
= trkr,i
rescaled breakage rate
Kbg
= kbtr
rescaled cooling rate
θ̇c
rescaled feed constant
C
rescaled solid feed
PSD
Ñi
= LrNi
rescaled suspension feed PSD
f̃in,i
= Lrfin,i
Table 7
Initial
Conditions in the Simulationsa
run
configuration
ee0 [−]
ρsusp,0 [kg kg–1]
λ̅i,0 [−]
σ̃i,0 [−]
section
1
batch
0.40
0.10
1
0.05
3
2
base
0.40
0.10
1
0.05
3.1.1
3
base
0.40
0.10
1
0.05
3.1.2
4
base
0.40
0.10
1
0.05
3.1.2
5
base
0–1.00
0.10
1
0.05
3.1.3
6
base
0.40
0.04–0.12
1
0.05
3.1.3
7
A
0.40
0.10
1
0.05
3.2
8
A
0.40
0.10
1
0.05
3.2
9
B
0.40
0.10
1
0.05
3.3
10
cascade
0.40
0.10
1
0.05
3.4
Note that we
set ρsusp,0 and ee0 in
each simulation;
ϕ̃3,D0 and ϕ̃3,L0 are
not degrees of freedom.
Table 8
Process Parameters Varied in the Simulationsa
run
τres [−]
ΔT [K]
θ̇c × 102 [−]
Ṁin/ṁout [−]
mill [−]
eein [−]
λ̅in,i [−]
σ̃in,i [−]
ρin [−]
cin,i [kg kg–1]
1
batch
10
7.33
2
15
10
7.33
M
0.18
3
2–50
10
7.33
M
0.09–0.27
4
15
10
7.33–20.2
M
0.18
5
15
10
7.33
M
0.18
6
15
10
7.33
M
0.18
7
10–100
10
7.33
0.10
–/M
0
1
0.05
8
50
10
7.33
0.05–0.35
M
0
1
0.05
9
50
10
7.33
ṁin = ṁout
0
1
0.05
0.017–0.150
0.09
10
50
ΔT1 = 10
Θ̇c,1 = 7.33
2.0
0
1
0.05
ΔT2 = 0; 15
Θ̇c,2*
2.0
0
1
0.05
Varied to have t1 and t3 values as in the
first MSMPRC.
PFTC Cascade
The model equations
for MSMPRC k, k ∈ {1, 2},
are presented in Table . The residence times are chosen to be equal in both crystallizers,
i.e., tres,1 = tres,2.
Table 6
Model Equations of the PFTC Cascade
Process
Solution
of the PBEs
The PBEs of eqs and 5 are solved using a high-resolution
finite volume scheme with van
Leer flux limiter and Godunov splitting.[48] The Godunov splitting is a fractional-step method consisting of
two consecutive steps and gives a consistent approximation to the
solution of the original equation.[48−50] In the first step, the
first subproblem, i.e., eq with the right-hand side set to zero, is solved over a time
step. The obtained PSD is used as initial PSD to solve the second
subproblem. In the second step, the PSD is updated by solving the
second subproblem over a time step; i.e., the source term effects
are computed. Thus, one alternates between the solution of growth/dissolution
term and that of the source terms, namely, the breakage and the inlet
and outlet flow terms. The model equations are discretized along both
the space and the time coordinates, the result being an explicit time-marching
algorithm or fully discrete scheme. The PBEs are coupled with mass
balances, which are calculated by integration of eq over a time step. See the Supporting InformationSection S3 for details about the numerical algorithm.
Performance
Indicators
Two important
performance indicators for a deracemization process are the attained
product purity and the productivity.where the SS subscript refers to
the average
value of the quantity within a single temperature cycle. Additionally,
in the case of a PFTC cascade, tres is
defined as the sum of the residence times in the first and in the
second reactor. In order to obtain the productivity values with the
desired units, i.e., g kg–1 h–1, one needs to convert the model output accordingly.Purity: The purity is defined to be the enantiomeric
excess.Productivity: For continuous
crystallization processes,
the general productivity definition is considered.[19,22] The productivity for PFTC, by
accounting for the enantiomeric excess
of the product,[45] can be defined as
Results and Discussion
A batch process was simulated
as a reference case, in which the
solid phase is initially enriched in the d enantiomer (run
1 in Tables and 8). Figure shows
the ee evolution as a function of the number of cycles,
τ, i.e., a dimensionless time; complete deracemization, i.e., ee = 1, is achieved after 16 cycles. For more details on
the analysis of batch processes, the interested reader can see our
previous work.[43]
Figure 3
Batch process: evolution
of the ee as a function
of nondimensional time (run 1).
Note that we
set ρsusp,0 and ee0 in
each simulation;
ϕ̃3,D0 and ϕ̃3,L0 are
not degrees of freedom.Varied to have t1 and t3 values as in the
first MSMPRC.Batch process: evolution
of the ee as a function
of nondimensional time (run 1).
Solution-Fed PFTC
Base Configuration
We analyze the
dynamic behavior of the base case configuration, when supersaturated
racemic solution is fed to the reactor (cin, = 0.18 kg kg–1, run 2). The periodic
steady-state condition for an MSMPR reactor involving crystallization
has been recently defined as the state of the system, which maintains
itself despite transitory effects caused by periodic disturbances
or periodic forcing.[51] Thus, a periodic
steady state is defined as the time-average computed between the maximum
and minimum values obtained periodically at steady state. The enantiomeric
excess as a function of the normalized time, τ, is shown in Figure a (where the inset
is a magnification, the time averaged value is shown as a black solid
line, and its instantaneous value appears as a green-shaded region).
The evolution of the enantiomeric excess during the start-up phase
is similar as in batch temperature cycles; i.e., the ee increases during the heating phase and the isothermal holding phase
at high temperature, and then it decreases during the cooling phase
and the isothermal holding phase at low temperature. At steady state,
enantiopurity is reached (i.e., eeSS =
1). The third moment evolution of each enantiomer, which is proportional
to the crystal mass, is shown in Figure b. The time averaged mass of the d enantiomer (red solid line) and that of the l enantiomer
(blue solid line) increase steeply due to the large initial and feed
concentration, and both crystals grow, as illustrated by the gray
dashed lines representing the time averaged total mass of crystals.
Then, the mass of both populations decreases, which is followed by
an increase in the crystal mass of d enantiomers and a gradual
decrease of the crystal mass of l enantiomer. Finally, the
crystals populations approach an average periodic steady-state value,
which is 0 for the l enantiomer, thus confirming that only
the enantiopure d enantiomer crystals remain. The average
supersaturation of the l enantiomer is larger than that of d; thus, racemization occurs in the desired direction, as Figure c shows with blue
and red lines, respectively. Figure d shows that the rescaled zeroth moment, i.e., the
number of particles of the d enantiomer at steady state,
is larger than its initial value, as a consequence of milling, and
that of l particles reaches 0.
Figure 4
Transient and steady-state
behavior of the solution-fed PFTC process
(base configuration, run 2). (a) The evolution of the ee along the process: the instantaneous ee is shown
with a green solid line, the average ee during the
cycles is plotted with a black solid line. The black dashed lines
present the upper and lower periodic boundaries. (b) The time averaged
value of the rescaled third moment during the process for the d (red lines) and l (blue lines) enantiomers, and their
sum (gray dashed line), respectively. (c) The supersaturation profiles
during the cycles for the d (red lines) and the l (blue lines) enantiomers. (d) The evolution of the average number
of particles of d (red solid line) and l (blue solid
line).
Transient and steady-state
behavior of the solution-fed PFTC process
(base configuration, run 2). (a) The evolution of the ee along the process: the instantaneous ee is shown
with a green solid line, the average ee during the
cycles is plotted with a black solid line. The black dashed lines
present the upper and lower periodic boundaries. (b) The time averaged
value of the rescaled third moment during the process for the d (red lines) and l (blue lines) enantiomers, and their
sum (gray dashed line), respectively. (c) The supersaturation profiles
during the cycles for the d (red lines) and the l (blue lines) enantiomers. (d) The evolution of the average number
of particles of d (red solid line) and l (blue solid
line).
Effect
of Operating Conditions
A simulation study has been performed
by varying the residence time
and the feed concentration in order to investigate their effect on
the achievable steady state and on the process performance.First, we analyze the effect of the residence time, τres, on the average steady-state enantiomeric excess, eeSS, and on the productivity, PSS, as illustrated in Figure a (run 3). When the residence time is very low, the crystals
get washed out, resulting in a trivial steady state (white zone and
black symbols in Figure a). At low residence times (i.e., 1 ≤ τres < 9.8), a steady state with racemic crystal composition is achieved
(i.e., eeSS = 0, gray zone and symbols
in Figure a). At larger
residence times (i.e., 9.8 ≤ τres), only d crystals are obtained (i.e., eeSS = 1, red zone and symbols in Figure a). However, one can notice that the productivity decreases
with increasing residence time. Thus, a threshold residence time exists,
below which the deracemization capacity of the process is too low
to show for complete deracemization, while at this value, the deracemization
capacity is optimal. Then, further increasing τres results in unutilized deracemization capacity.
Figure 5
(a) Effect of the residence
time, τres, on the
productivity, PSS, in the solution-fed
process (base configuration, run 3, at c = 0.18 kg kg–1); (b) map of
steady-state outcomes spanned by the feed concentration, cin,, and by τres. The
symbols represent the steady-state value of the system; red symbol
corresponds to a case with d enantiomer product, gray symbols
mark the case when racemic crystals are obtained, and black symbols
represent a steady state without crystals, i.e., a trivial steady
state.
(a) Effect of the residence
time, τres, on the
productivity, PSS, in the solution-fed
process (base configuration, run 3, at c = 0.18 kg kg–1); (b) map of
steady-state outcomes spanned by the feed concentration, cin,, and by τres. The
symbols represent the steady-state value of the system; red symbol
corresponds to a case with d enantiomer product, gray symbols
mark the case when racemic crystals are obtained, and black symbols
represent a steady state without crystals, i.e., a trivial steady
state.Second, Figure b shows the attainable steady states (or eeSS) as a function of both τres and the feed
concentration, cin,.
When the residence time is kept constant (i.e., we are moving vertically
along the plane), we can observe that at low cin,, the trivial steady state is obtained
(black symbols). When cin, increases, d enantiomers are obtained at steady state
(i.e., eeSS = 1, red symbols). In the
high feed concentration region, a racemic steady state is reached
(i.e., eeSS = 0, gray symbols). It is
trivial that the simulated points of Figure a are located along a vertical line at c = 0.18 in Figure b. It is remarkable that 0
< eeSS < 1 is never obtained. Note
that a steady state where pure enantiomeric crystals are obtained
is not achievable at low residence times.In order to further
explore the effect of operating conditions,
we performed simulations by varying the normalized cooling rate between
the minimum value θ̇c = 0.073 and the maximum
value θ̇c = 0.202 (run 4, the range corresponding
to 0.33–0.50 K min–1 utilized in batch experiments[4,7,52]), and the eeSS reaches 1 in all simulations. Thus, the continuous
process is not sensitive to changes in the cooling rate in the investigated
range, contrary to the batch process.[43]
Effect of Initial Conditions
By
choosing the initial conditions carefully, one can shorten the time
to reach the periodic steady state. Figure a (run 5) shows that the eeSS (green symbols) is not dependent on the ee0, while the time to reach the periodic steady state,
τSS (blue symbols), becomes significantly shorter
with increasing ee0, as expected. By running
simulations at varying initial suspension density, ρ0, the independence of the eeSS from the
initial values has been further confirmed, as Figure b shows (run 6). One can also observe that
increasing ρ0, also τSS increases,
as expected, due to the larger number of crystals of the undesired
enantiomer that needs to be deracemized in the process.
Figure 6
(a) Average
steady-state enantiomeric excess, eeSS (green stars, left), and start-up time, τSS (blue
stars, right), as a function of initial enantiomeric
excess, ee0, in the solution-fed process
(base configuration, run 5). (b) Effect of initial suspension density
on the eeSS (green stars, left) and τSS (blue stars, right), are shown (base configuration, run
6).
(a) Average
steady-state enantiomeric excess, eeSS (green stars, left), and start-up time, τSS (blue
stars, right), as a function of initial enantiomeric
excess, ee0, in the solution-fed process
(base configuration, run 5). (b) Effect of initial suspension density
on the eeSS (green stars, left) and τSS (blue stars, right), are shown (base configuration, run
6).
Solid-Fed
PFTC
We have performed
simulations in configuration A (i.e., by feeding racemic crystals),
and we have varied the residence time (run 7) in order to investigate
its effect on the eeSS. Figure a shows that by increasing
the residence time, the eeSS increases
(black circles). However, the eeSS never
reaches 1, as expected, based on the rationale given in section 2. One can notice that given the same residence time,
the eeSS can be higher when one utilizes
a mill (green symbols), as the mill comminutes the particles of the
undesired enantiomer that are not yet dissolved in the cycles, thus
accelerating their dissolution.
Figure 7
(a) Effect of the residence time, τres on the
average steady-state enantiomeric excess, eeSS, without and with milling indicated by open circles and
stars, respectively; (b) effect of the ratio of the solid feed rate
and of the suspension withdrawal rate, Ṁin/ṁout, on eeSS (green stars, left axis), and on the productivity, PSS (red stars, right axis), in the solid-fed
process (configuration A, run 8).
(a) Effect of the residence time, τres on the
average steady-state enantiomeric excess, eeSS, without and with milling indicated by open circles and
stars, respectively; (b) effect of the ratio of the solid feed rate
and of the suspension withdrawal rate, Ṁin/ṁout, on eeSS (green stars, left axis), and on the productivity, PSS (red stars, right axis), in the solid-fed
process (configuration A, run 8).Moreover, increasing the ratio of the solid feed rate with respect
to the suspension withdrawal rate, Ṁin/ṁout, is a potential way to increase
the productivity (configuration A, run 8). Interestingly, the eeSS is low at low feed rates, as the surface
available for growth of the desired enantiomer is not enough to compensate
for that of the withdrawn crystals (Figure a, left axis, green symbols). Then, by increasing
the solid feed rate, the eeSS reaches
a maximum, and then it decreases (the feeding rate of the racemic
solid is too high with respect to the rate of deracemization). Figure b illustrates that
the average steady-state productivity, PSS, obviously increases with an increasing feed rate (Figure b, right axis, red stars),
reaches a maximum, and then decreases, as smaller (larger) amounts
of target (undesired) enantiomer are produced. Thus, an optimal feed
rate exists, at which the deracemizing capacity of the suspension
in the crystallizer is exploited to the maximum.
Suspension-Fed PFTC
In this section,
the suspension-fed continuous process (configuration B) is analyzed.First, we compare the performance of configuration B (ρin = 0.100 kg kg–1, run 9) with that of the
solid-fed variant (configuration A, run 7) at an identical residence
time (τres = 50). Note that in both simulations,
the same amount of crystals are fed per unit time, but in configuration
A, only solid is fed, while in configuration B, the solid is suspended
in a saturated solution (therefore, the liquid phase is not recycled
after filtration). The suspension-fed process reaches eeSS = 0.88 (configuration B) versus eeSS = 0.92 for the solid-fed process (configuration A).
The corresponding productivities are 1.30 g kg–1 h–1 and 1.84 g kg–1 h–1, respectively. It is therefore preferable to feed the crystals only,
without a solution, as expected. In the case of feeding a suspension,
the liquid composition is racemic; in the solid-fed process, the solution
is recycled; thus, it is not racemic, and thus it provides a larger
driving force for the racemization, and therefore it enables faster
deracemization.Second, we analyze the effect of varying feed
suspension density
on the steady state (run 9). Figure shows that low values of ρin result
in a racemic product, while with increasing values of ρin, the corresponding values of eeSS (black triangles) and the PSS (red circles)
increase as well. Note that at low feed suspension densities, the
crystal generation in the MSMPRC, namely, the solid feed, is not sufficient
to operate the process with reasonable productivity. Therefore, a
minimum feed suspension density exists, above which the configuration
B is able to produce crystals while achieving reasonable levels of eeSS and PSS.
Figure 8
Effect of feed
suspension density, ρin, on the
average steady-state enantiomeric excess, eeSS (left, black triangles) and on the average steady-state
productivity, PSS (right, red circles),
in the suspension-fed process (configuration B, run 9).
Effect of feed
suspension density, ρin, on the
average steady-state enantiomeric excess, eeSS (left, black triangles) and on the average steady-state
productivity, PSS (right, red circles),
in the suspension-fed process (configuration B, run 9).In the solid-fed configuration,
the eeSS never reached 1. Therefore, we
have explored whether running this process in a cascade enables reaching
complete deracemization, and thus two PFTC cascade simulations were
carried out (run 10). In all simulations, the temperature profile
in C1 was set to be the temperature cycle with ΔT1 = 10 K, i.e., the same amplitude as in previous simulations.
In C2, we explored two different options. In the first case, the maximum
temperature difference within a cycle was large: ΔT2 = 15 K. In the second case, the temperature is constant
at high temperature, Tmax ,2. In
both cases, as Table shows, enantiopure d crystals with similar productivities
are obtained. C2 acts as a temperature cycling dissolution vessel
in the first case, and it is a dissolution vessel at constant temperature
in the second case. The minimum temperature of the dissolution vessel
that enables complete dissolution of the crystals of the undesired
enantiomer depends on the dissolution rates of specific compounds,
and it also needs to be selected as a function of residence times.
Table 9
Initial Conditions in the Simulationsa
ΔT1 = 10 K, ΔT2 = 15 K
ΔT1 = 10 K, T2 = const = Tmax ,2
eeSS
1.00
1.00
PSS
1.01
1.02
Note that we set ρsusp,0 and ee0 in each simulation;
ϕ̃3,D0 and ϕ̃3,L0 are
not degrees of freedom.
Note that we set ρsusp,0 and ee0 in each simulation;
ϕ̃3,D0 and ϕ̃3,L0 are
not degrees of freedom.
Conclusions
Novel mixed-suspension mixed product removal
crystallizer-based
configurations have been proposed in this work for the first time
to perform periodic forcing via temperature cycles. By extending our
model of batch deracemization via temperature cycles, the population
balance equation based model of each continuous configuration has
been developed to perform model-based investigation of this process.
An efficient numerical algorithm has been implemented that allowed
us to perform process analysis. Although the kinetic parameters used
in this work are reasonable in terms of their order of magnitude,
they represent a hypothetical compound. Nevertheless, we have demonstrated
that the developed PBE-based modeling platform is essential, as it
enables one to design novel processes and to develop valuable guidelines
for their implementation.First, a base configuration, where
the feed is a solution, has
been proposed; where a racemic solution is fed, the solid acts as
seed, and the steady state is independent of the initial conditions,
thus resulting in a robust process. It has been shown that among the
operating parameters, the residence time and the feed concentration
have the largest impact on the process performance, as they define
the region where an enantiopure product or racemic product can be
obtained at steady state. The limitations of this process are that
the target compound should be stable at a high temperature at which
the feed solution is prepared, and the process has to be operated
at such conditions, at which nucleation of the nondesired enantiomer
does not occur.[22]If these conditions
cannot be fulfilled, alternatively, the solid-fed
configuration can be utilized. This second configuration (i.e., configuration
A) was found to produce enantiomerically highly enriched crystals,
which can be achieved by tuning the operating parameters, namely,
the residence time and the solid feed rate. Finally, a third alternative,
a suspension-fed configuration (i.e., configuration B) was shown to
underperform the solid-fed configuration.The purity limitation
of the solid-fed configuration has been overcome
by the addition of a second, dissolution vessel, which can be operated
either by large temperature ramps or by holding it at high temperature.
The potential advantage of such a dissolution vessel was suggested
in the literature for continuous resolution of conglomerate-forming
compounds;[21] however, it has been proven
in this work via simulations that an enantiopure product can indeed
be achieved in such configuration.Our two final take-home messages
are as follows. First, we have
been able to show that batch-wise deracemization via temperature cycles
can be made continuous through the configurations presented here.
This has obvious advantages in terms of stability of operation and
of product consistency. Second, a clear disadvantage with respect
to batch-wise temperature cycles is the intrinsic difficulty in continuous
processes to correct for the possible occurrence of nucleation of
the undesired enantiomer, which could be overcome with periodic forcing
of the temperature. Thus, summarizing, with this work and the companion
literature from this group, we have provided a family of deracemization
processes for conglomerate forming systems, which collectively provide
a number of very useful alternative approaches, and we have thoroughly
comparatively assessed their merits.
Authors: Wim L Noorduin; Willem J P van Enckevort; Hugo Meekes; Bernard Kaptein; Richard M Kellogg; John C Tully; J Michael McBride; Elias Vlieg Journal: Angew Chem Int Ed Engl Date: 2010-11-02 Impact factor: 15.336
Authors: Wim L Noorduin; Hugo Meekes; Willem J P van Enckevort; Bernard Kaptein; Richard M Kellogg; Elias Vlieg Journal: Angew Chem Int Ed Engl Date: 2010-03-29 Impact factor: 15.336
Authors: Adam C Fisher; Sau L Lee; Daniel P Harris; Lucinda Buhse; Steven Kozlowski; Lawrence Yu; Michael Kopcha; Janet Woodcock Journal: Int J Pharm Date: 2016-10-20 Impact factor: 5.875
Authors: Anthonius H J Engwerda; Johannes C J Mertens; Paul Tinnemans; Hugo Meekes; Floris P J T Rutjes; Elias Vlieg Journal: Angew Chem Int Ed Engl Date: 2018-10-19 Impact factor: 15.336