Irena Sović1, Stipe Lukin1, Ernest Meštrović2, Ivan Halasz1, Andrea Porcheddu3, Francesco Delogu4, Pier Carlo Ricci5, Fabien Caron6, Thomas Perilli6, Anita Dogan7, Evelina Colacino8. 1. Ruđer Bošković Institute, Bijenička 54, Zagreb 10000, Croatia. 2. Xellia Pharmaceuticals, Slavonska avenija 24/6, Zagreb 10000, Croatia. 3. Department of Chemical and Geological Sciences, University of Cagliari, Cittadella Universitaria, SS 554 bivio per Sestu, Monserrato, Cagliari 09042, Italy. 4. Department of Mechanical, Chemical and Materials Engineering, University of Cagliari, via Marengo 2, Cagliari 09123, Italy. 5. Department of Physics, University of Cagliari, Cittadella Universitaria, SS 554 bivio per Sestu, Monserrato, Cagliari 09042, Italy. 6. Endress+Hauser Process Analysis Support, Saint-Priest 69800, France. 7. Endress+Hauser d.o.o., Zagreb 10020, Croatia. 8. ICGM, Univ. Montpellier, CNRS, ENSCM, Montpellier 34296, France.
Abstract
The mechanochemical preparation of silver sulfadiazine and dantrolene, two marketed active pharmaceutical ingredients, was investigated by in situ Raman spectroscopy. For the first time, the mechanochemical transformations involving highly fluorescent compounds could be studied in situ with a high-resolution Raman system combined with a unique suitable Raman probe. Moreover, the kinetic features of the mechanochemical process were examined by a mathematical model allowing to describe the chemical changes under mechanical stress. This approach is promising both to broaden the scope of Raman in situ investigations that would otherwise be impossible and for process optimization at any scale.
The mechanochemical preparation of silver sulfadiazine and dantrolene, two marketed active pharmaceutical ingredients, was investigated by in situ Raman spectroscopy. For the first time, the mechanochemical transformations involving highly fluorescent compounds could be studied in situ with a high-resolution Raman system combined with a unique suitable Raman probe. Moreover, the kinetic features of the mechanochemical process were examined by a mathematical model allowing to describe the chemical changes under mechanical stress. This approach is promising both to broaden the scope of Raman in situ investigations that would otherwise be impossible and for process optimization at any scale.
Mechanochemistry, as a method of synthesis
that uses solid reactants
to prepare solid products without intermittent dissolution, has recently
earned significant interest in the context of resource-efficient and
low-waste manufacturing.[1−3] Currently, it encompasses transformations
of inorganic,[4] organic,[5−8] organometallic,[9−11] metal–organic,[12,13] and supramolecular materials,[14] and it
has been used in screening for novel pharmaceutical forms,[15] targeted synthesis,[16,17] and transformations of active pharmaceutical ingredients (APIs).[18,19] An innovative area of investigation is medicinal mechanochemistry(18) providing access to potential APIs
as well as marketed drugs in a sustainable way, with cleaner reaction
profiles and simplified work-up procedures, as well as with an improved
reagent, solvent, energy, and waste economy. Despite the widely recognized
benefits of mechanochemistry, its application is limited due to the
lack of mechanistic knowledge and in situ process
understanding. Mechanochemical milling reactions are normally conducted
in closed and rapidly moving reaction vessels, preventing a direct
insight into the reaction course and, for decades, limited reaction
monitoring to enable stepwise ex situ analysis.[20−23]This situation was only recently remedied with the development
of the first two in situ monitoring techniques probing
the chemical composition of the reaction mixture, which are based
on powder X-ray diffraction (PXRD)[24] and
Raman spectroscopy[25] as well as their use
in tandem.[26,27] Both techniques are enabled by
the use of
poly(methyl methacrylate) (PMMA) plastic reaction vessels. The translucent
PMMA vessel enables the Raman laser light to penetrate the vessel
walls, scatter at the sample, and exit the vessel, enabling collection
of the mixture’s Raman spectrum. Both in situ techniques are suited for uninterrupted reaction monitoring on a
vibratory ball mill while it is in operation and provide diffraction
patterns and Raman spectra with time resolution in seconds. They are
complementary in the sense that PXRD is sensitive to bulk crystalline
species, while Raman is sensitive to changes at the molecular level.
In the case when the reaction mixture is highly crystalline, the reaction
profiles extracted from both techniques coincide. Milled reaction
mixtures, however, often become amorphous or partially amorphous,
rendering PXRD monitoring limited to determination of the amount of
the amorphous phase.[28] In such cases, Raman
spectroscopy may provide a more complete information on the chemical
composition and molecular structure of the products and reactants
because it does not require a sample to be crystalline.[29] In addition, PXRD requires a synchrotron source,[30] while in situ Raman monitoring
is a laboratory technique that can employ fiber-optic sampling probes
for remote monitoring.Application of mechanochemistry to synthesis
or screening of pharmaceutical
compounds is now well known, but it largely remains within academic
circles.[31−39] Several examples were reported for the mechanochemical preparation
of API,[16,18,40,41] including metallodrugs[42−44] and metallopharmaceuticals.[45−47] However, before the mechanochemical approach could be exploited
in large-scale industrial preparation of pharmaceutical products,
better understanding of the underlying processes needs to be accomplished
including detailed mapping of reaction mechanisms and kinetics, full
characterization of products in terms of their particulate properties,
identification of any contamination, and an understanding of how the
reaction mechanism can be altered.[5]Here, we study mechanochemical processes by means of in
situ reaction monitoring using Raman spectroscopy and involving
the formation of pharmaceutically relevant materials. We previously
reported the mechanochemical preparation of metallodrugs (e.g., the gastrointestinal drug bismuth subsalicylate, Pepto-Bismol)[44] and marketed hydantoin-based API[16] (phenytoin,[48] ethotoin,[49,50] nitrofurantoin, and dantrolene[51]). Next,
to show that not only pharmaceutical materials can readily be prepared
by mechanochemistry, we show how one can better understand reaction
mechanisms based on kinetic analysis of reaction profiles extracted
from time-resolved in situ Raman spectra. In situ Raman spectroscopy is particularly suitable for
studying pharmaceutical materials since these may experience partial
or full amorphization, limiting usefulness of in situ PXRD monitoring.To achieve these goals, we selected marketed
drugs such as silversulfadiazine (Silvadene) and dantrolene (Dantrium) as benchmarks (Figure ).
Figure 1
Active pharmaceutical
ingredients selected for in situ monitoring studies.
Active pharmaceutical
ingredients selected for in situ monitoring studies.Herein, we introduce for the first time the use
of a large volumetric
Raman probe to carry out in situ measurements in
the mechanochemical preparation of highly fluorescent pharmaceutical
materials (e.g., dantrolene). Based on the real-time Raman data, it
was possible to discern, for the first time, mechanistic information
(e.g., kinetic constants). The newly derived kinetic model allowed
us to link experimental observations to local microscopic processes
taking place during individual collisions.[52,53]Time-resolved
Raman monitoring and reaction profiles for mechanochemical
synthesis of silver sulfadiazine from AgNO3 and sulfadiazine
with (a, b) 25% aqueous ammonia and (c, d) 10% aqueous ammonia.
Experimental Section
Syntheses
Mechanochemical-activated
reactions are represented
using the formalism first introduced by Hanusa and Rightmire.[11]Comparison of reaction
profiles for the silver sulfadiazine formation
using 10 and 25% aqueous ammonia and kinetic profile fitting. (a)
Red represents 25% aqueous ammonia, and black represents 10% aqueous
ammonia. (b) Fitting of the kinetic curve for reaction using 25% aqueous
ammonia and (c) using 10% aqueous ammonia.
Dantrolene
Synthesis
DantroleneCAS [7261-97-4] was
prepared, adapting a previously published procedure.[51] 1-Aminohydantoin hydrochloride (75.8 mg, 0.5 mmol) and
5-(4-nitrophenyl)furfural (108.6 mg, 0.5 mmol) were ground in a 14
mL PMMA jar with two stainless steel balls (7 mm in diameter, weight
of each ball m = 1.4 g) at 30 Hz for 30–120
min. For liquid-assisted grinding (LAG), acetonitrile (50 μL,
η = 0.27 μL/mg) was used, with the η
value[15] defined as the volume of the solvent
(expressed in μL)/the sample weight (expressed in mg).In situ Raman monitoring of dantrolene
synthesis
from 1-amino hydantoin hydrochloride and 5-(4-nitrophenyl)furfural.
(a) Raman spectra of the 1:1 reactant mixture and final product dantrolene
for NG and LAG reaction using acetonitrile. (b) Two-dimensional time-resolved
plot of in situ-collected and baseline-subtracted
Raman spectra for an LAG using acetonitrile (50 μL). An intermediate
may be noticed by the bands appearing and disappearing denoted with
“*”. The most characteristic bands of the product at
1186 and at 1590 cm–1 as a shoulder to the strongest
band at 1600 cm–1 are denoted with “#”.
(c) Two-dimensional time-resolved plot of in situ-collected and baseline-subtracted Raman spectra for a neat grinding
reaction.
Silver Sulfadiazine Synthesis
Silver sulfadiazineCAS
[22199-08-2] was prepared by mechanochemical treatment of AgNO3 (169.9 mg, 1.0 mmol) and sulfadiazine (250.3 mg, 1 mmol)
using 20 μL of either 25 or 10% aqueous ammonia solution. Solid
reactants were weighed in one-half of the PMMA reaction vessel (internal
volume of 14 mL) together with the milling media (two 7 mm diameter
stainless-steel milling balls, weight of each ball m = 1.4 g) while
aqueous ammonia was added in the other half using an automatic pipette.
The two halves were carefully closed so that the solid reactants did
not come into contact with the ammonia solution before milling was
started. The closed reaction vessel was positioned on the vibratory
ball mill, and in situ Raman monitoring was initiated
together with the start of milling, which was performed at 30 Hz for
30–90 min.(a) Background-subtracted
Raman spectra of dantrolene synthesis as a function of reaction time.
(b) Corresponding MCR decomposition into three reference spectra:
spectrum in blue accounts for 23.3% of variations, spectrum in red
accounts for 61.1% of variations, and the spectrum in green accounts
for 11.5% of variations. (c) Concentration profile for each reference
spectrum. Concentration C is dimensionless and expresses
relative contributions of the three reference spectra in panel (b)
to each spectrum displayed in panel (a).
Product Identification by Nuclear Magnetic Resonance (NMR)
The identity of the final product dantrolene was confirmed with
NMR and by comparing spectra with the NMR spectral data previously
described in the literature.[51] Chemical
shifts (δ) of 1H NMR spectra are reported in ppm
relative to residual solvent signals (DMSO in DMSO-d6: δ = 2.50 ppm). 1H NMR spectra were
recorded at 400 MHz (Figure , black spectrum), 600 MHz (Figure , red spectrum), and 300 MHz (Figure ).
Figure 6
Assessment of dantrolene
identity by comparison of 1H NMR spectra for LAG reaction
(red spectrum) vs. the analytical
sample prepared by planetary ball mill[51] (black spectrum).
Figure 7
1H NMR spectra
of the final mixture (red), 5-(4-nitrophenyl)furfural
(green), and 1-aminohydantoine hydrochloride (blue).
Assessment of dantrolene
identity by comparison of 1H NMR spectra for LAG reaction
(red spectrum) vs. the analytical
sample prepared by planetary ball mill[51] (black spectrum).1H NMR spectra
of the final mixture (red), 5-(4-nitrophenyl)furfural
(green), and 1-aminohydantoine hydrochloride (blue).
In Situ Raman Spectroscopy for Silver Sulfadiazine
Synthesis
Raman spectroscopy measurements for the silversulfadiazine synthesis employed a portable Raman system with a PD-LD
(now Necsel) BlueBox laser source having an excitation wavelength
of 785 nm and an OceanOptics Maya2000Pro spectrometer coupled with
a B&W-Tek fiber optic BAC102 probe. The position of the probe
was about 0.4 cm from the bottom of the vessel. Raman spectra were
collected for 10 s with an acquisition time of 500 ms and summing
20 scans for each spectrum.
In Situ Raman Spectroscopy for Dantrolene Synthesis
Raman spectroscopy
for real-time measurements of the dantrolene
synthesis was carried out by using a 785 nm Kaiser Raman Rxn2 Hybrid
instrument including a 785 nm laser at 400 mW power, a high-resolution
spectrograph, and a cooled charged-coupled device (CCD) detector.
The Kaiser Raman Rxn2 base unit was fitted with a P large volumetric bulk sampling probe, providing a circular
illumination area of 6 mm diameter and a sample penetration of 1–2
mm to cover a large sample area. Scattered light was collected by
a bundle of 50 optical fibers dispersed through a high-performance
spectrometer (f/1.8) and focused to a cooled charge-coupled
device (CCD) detector.In situ Raman spectra
were collected across the range 1875–150 cm–1. A laser exposure time of 1 s with 10 accumulation was selected
to collect one spectrum every 30 s during milling. The P approach allowed a greater volume to be analyzed
in a single measurement than measurements that use a backscattered
probe geometry. This larger sampling volume allowed a more representative,
repeatable, and robust measurement of the process because the measurement
was not as sensitive to sample placement with regard to the laser
focus.
Raman Data Analysis
Utilizing both the Kaiser Hololab
calibration accessory and a Raman calibration standard, calibrations
of the spectrograph, laser excitation wavelength, and instrument spectral
response were performed to ensure high spectral quality. All Raman
spectral data were processed by GramsAI (Thermo, Inc., Waltham, MA)
for visual inspection. Chemometric calculations were performed by
using the multivariate curve resolution-alternating least squares
(MCR-ALS) in Matlab.
Multivariate Analysis of Raman Spectra
Chemometric
analysis was performed by using the multivariate curve resolution-alternating
least squares (MCR-ALS) method directly on the baseline-subtracted
Raman spectra. MCR-ALS is based on a linear model assuming the generalized
law of Lambert–Beer where the individual response of each component
is addable. The aim of this method is the decomposition of the original
data matrix, which contains all the spectra recorded during the dantrolene
synthesis, into the product of two matrices, one that contains the
concentration profiles and the other corresponding to the so-called
reference Raman spectra.
Results and Discussion
Mechanochemical
Preparation of the Metallodrug Silver Sulfadiazine
We studied
the formation of silver sulfadiazine, a topical sulfa-antibiotic
used as an antiseptic in creams and ointments in the treatment of
extensive skin burn and surgery.[54,55] Silver sulfadiazine
is on the World’s Health Organization’s list of essential
medicines[56] because of its antibacterial
properties against Gram-positive bacteria. Silver sulfadiazine has
these properties because it is a metallodrug, which combines the antiseptic
properties of bioactive silver ion[57,58] with the sulfadiazine
API.[59] This association provides a new
antibacterial agent having a broader spectrum of action, more recently
finding new applications in coating for cardiac devices and indwelling
catheters.[57] Insoluble in water, it dissolves
slowly only in biological fluids.[54] In
solution, silver sulfadiazine precipitates in good yield after mixing
aqueous ammonia solutions of sulfadiazine and silver nitrate. In this
study, we prepared silver sulfadiazine in the solid state in a mechanochemical
reaction of silver nitrate and sulfadiazine using a catalytic amount
of concentrated or diluted aqueous ammonia (Scheme ). Proton abstraction from the sulfadiazine
molecule is essential for product formation, so the reaction does
not proceed without aqueous ammonia. The dry mixture of silver nitrate
and sulfadiazine remained a solid mixture even after prolonged milling.
Scheme 1
Mechanochemical Preparation of Silver Sulfadiazine Using Catalytic
Aqueous Ammonia
Previous studies indicated that silver sulfadiazine
is a 1:1 complex with sulfadiazine acting at the same time as the
anion and the coordinating ligand, with silver coordinating both the
sulfonamide group and the nitrogen atoms of the 2-aminopyrimidine
ring.[60−62]Upon addition of aqueous ammonia, the reaction
on the 1 mmol scale
proceeded rapidly and was complete in 10–20 min of milling
(Figure ). Reaction
rates could be modified by using different concentrations of aqueous
ammonia. Ammonia was essential for product formation, and without
aqueous ammonia, solid sulfadiazine and AgNO3 would not
react. However, optimization of the amount of ammonia was required
since too much ammonia slows down the reaction as evidenced by comparing
the reaction profiles for milling using equal volumes (20 μL)
of either 25 or 10% aqueous ammonia solution (Figures and 3a). While ammonia
is likely necessary for deprotonation of sulfadiazine, it is well
known that it efficiently binds to silver(I), which may thus stabilize
it and slow down the formation of the product silver sulfadiazine.
Figure 2
Time-resolved
Raman monitoring and reaction profiles for mechanochemical
synthesis of silver sulfadiazine from AgNO3 and sulfadiazine
with (a, b) 25% aqueous ammonia and (c, d) 10% aqueous ammonia.
Figure 3
Comparison of reaction
profiles for the silver sulfadiazine formation
using 10 and 25% aqueous ammonia and kinetic profile fitting. (a)
Red represents 25% aqueous ammonia, and black represents 10% aqueous
ammonia. (b) Fitting of the kinetic curve for reaction using 25% aqueous
ammonia and (c) using 10% aqueous ammonia.
The two curves for the formation of silver sulfadiazine were collected
under the same experimental conditions except for the initial concentration
of the added aqueous ammonia and are well suited for a kinetic analysis
and comparison. We find that the reaction using 10% NH3(aq) is faster and is best described with an exponential equationwhich arises
when one critical compression
is required to achieve the reaction, where the final conversion (αmax) is allowed to be lower than unity and where an induction
period (t) compensates for the non-uniform
mixing in the beginning of the reaction. The reaction constant k, which measures the amount of effectively processed material
in a single compression (the volume fraction of the material compressed
in a single ball impact), is determined to be 0.17 min–1.The reaction using 25% NH3(aq) is best fitted
using
the expressionwhich is derived assuming that two critical
compressions are required for the material to undergo a transformation.
The rate constant k for this reaction equals 0.19
min–1. Importantly, the values of rate constants
in these two experiments are similar, as they should be since the
milling conditions (reaction vessel volume, amount of reactants, and
type and number of milling balls) have not changed. This different
behavior suggests a variation in the reaction mechanism, and we propose
that the difference stems from stabilization of Ag+ with
excess of ammonia due to the likely formation of a [Ag(NH3)2]+ species. Ammonia is essential for the
reaction to facilitate proton abstraction from sulfadiazine, but excess
ammonia seems to stabilize Ag+, thus slowing down the reaction.
Mechanochemical Preparation of Dantrolene
Dantrolene
remains the only clinically available agent for the treatment of malignant
hyperthermia (MH),[63] a condition in which
the body temperature is very high, by restoring normal calcium levels
in the muscles. It contains the N-acylhydrazone moiety,
a functional group extensively used in medicinal chemistry and marketed
drugs.[64]Dantrolene was previously
prepared by mechanochemistry in a single-step condensation between
5-(4-nitrophenyl)furfural and 1-aminohydantoine hydrochloride (Scheme ).[51] The reaction displayed a highly improved environmental
footprint and a reduced cost compared to classic solvent-based procedures.
The strong activation provided by mechanochemistry avoided the use
of an external base to generate the nucleophilic amine. Moreover,
the hydrochloric acid generated in situ allowed the
reaction to occur without the need for an additional Brønsted
(e.g., hydrochloric, p-toluenesulfonic
or acetic acid) or Lewis (e.g., scandium triflate)
acid to promote the condensation reaction.[51]
Scheme 2
Mechanochemical Synthesis of Dantrolene with Two Potential Intermediate
Species
We encountered problems during
our initial experiments due to fluorescence
of the reaction mixture. We attributed this problem to using a home-built
system consisting of components from various suppliers, as described
previously.[27] While the very beginning
of the reaction provided interpretable Raman spectra of reactants,
as soon as the product started building up, so did the fluorescence
rise, which soon saturated the detector and rendered any in
situ monitoring impossible. We found that using a Raman system
from a single vendor, where the system was equipped with a P large volumetric sampling probe, a fast
(f/1.8) spectrometer, and an NIR-optimized CCD detector,
enabled collecting quality Raman spectra throughout the reaction.
With data collected by the P-equipped
Raman analyzer, we could completely visualize the transformation (Figure ).
Figure 4
In situ Raman monitoring of dantrolene
synthesis
from 1-amino hydantoin hydrochloride and 5-(4-nitrophenyl)furfural.
(a) Raman spectra of the 1:1 reactant mixture and final product dantrolene
for NG and LAG reaction using acetonitrile. (b) Two-dimensional time-resolved
plot of in situ-collected and baseline-subtracted
Raman spectra for an LAG using acetonitrile (50 μL). An intermediate
may be noticed by the bands appearing and disappearing denoted with
“*”. The most characteristic bands of the product at
1186 and at 1590 cm–1 as a shoulder to the strongest
band at 1600 cm–1 are denoted with “#”.
(c) Two-dimensional time-resolved plot of in situ-collected and baseline-subtracted Raman spectra for a neat grinding
reaction.
With the
optimized Raman system, we were able to determine that
dantrolene preparation in a neat grinding (NG) reaction proceeds at
a very slow rate. Knowing that liquid-assisted grinding (LAG) may
beneficially influence reaction kinetics,[15,65] we switched from an NG approach to LAG using acetonitrile (50 μL)
to observe a much faster reaction (Figure ) where the formation of the product could
be best observed by the emergence of characteristic bands. The characteristic
bands for the hydrazone bond at 1186 and 1590 cm–1 belonged to the ν(N–N)[66,67] and ν(C=N),
respectively.[67,68] At the same time, we observed
a notable decrease in the bands at 1668 and 1115 cm–1 attributed to the ν(C=O) stretching of aldehyde and
ν(N–N) stretching of the starting hydrazide in 1-amino
hydantoin hydrochloride, respectively. The formation of an intermediate
phase was also observed, but unfortunately the low quality of spectra
did not allow us to identify the chemical nature of this intermediate.A chemometric approach was applied to a series of spectra for the
LAG dantrolene synthesis (Figure a) with the objective to determine the number of species
present and their concentration profiles.
Figure 5
(a) Background-subtracted
Raman spectra of dantrolene synthesis as a function of reaction time.
(b) Corresponding MCR decomposition into three reference spectra:
spectrum in blue accounts for 23.3% of variations, spectrum in red
accounts for 61.1% of variations, and the spectrum in green accounts
for 11.5% of variations. (c) Concentration profile for each reference
spectrum. Concentration C is dimensionless and expresses
relative contributions of the three reference spectra in panel (b)
to each spectrum displayed in panel (a).
Three main reference
spectra explained more than 95% of all the in situ-collected Raman spectra (Figure b). Extracted concentration profiles for
the reference spectra are presented in Figure c, assigning one reference spectrum jointly
to the reactant mixture (blue line in Figure c), one to an intermediate species (green
line in Figure c)
and one to the product dantrolene (red line in Figure 5c). While visual
inspection of the in situ-collected Raman spectra
in Figure may not
have obviously revealed an intermediate, MCR-ALS analysis clearly
evidenced the presence of a reaction intermediate. Moreover, it can
be noticed from the MCR analysis that the concentration of the dantrolene
product is not reaching a plateau at the end, which suggests that
the reaction is not fully completed, as assessed also by the presence
of the C=O bond contribution of the residual aldehyde (at 1668
cm–1). This observation is also in line with the
final spectrum collected in situ during the reaction
(Figure a, LAG reaction,
spectrum in yellow) and with the previously reported results,[51] indicating that full conversion of the reactants
can be achieved only if more energetic milling regimes are applied.[52,69] It can be also noticed that a small band at 1654 cm–1 appears on the spectral component of the LAG reaction product (Figure b, spectrum in red)
attributed to the ν(C=O) and ν(C–N) stretching
mode of the N-acylhydrazone.[70]The identity of dantrolene obtained in LAG conditions was
assessed
by overlapping the 1H NMR spectrum of the crude mixture
(Figure , red spectrum)
with the spectrum of an authentic sample of dantrolene obtained by
ball milling[51] (Figure , black spectrum).The final mixture,
dissolved in DMSO-d6, was also analyzed
by 1H NMR. Analysis of the 1H NMR spectra confirms
the suggestion that the reaction is not fully
completed (Figure ). Beside the signals that correspond to the product, qNMR analyses
show the presence of 4.6% of the starting material in the final mixture.Data in Figure c are an excellent starting point to carry out a quantitative kinetic
analysis. To this aim, the data have been normalized taking into account
the larger experimental uncertainties affecting the estimation of
the intermediate fraction. The obtained datasets are plotted in Figure as a function of
time t.
Figure 8
Reaction profile for the dantrolene formation.
Best-fitted kinetic
curves are shown.
Reaction profile for the dantrolene formation.
Best-fitted kinetic
curves are shown.We find that the variation
of reactants αr ,
intermediate αi , and product αp fractions is best described with the equationswhere αmax represents the
maximum fraction of the intermediate that can be transformed in the
final product. As discussed in detail elsewhere,[53] the model equations indicate that the reactants need two
critical compressions to form the intermediate, while the critical
compressions for the intermediate to form the product are four. Although
this is a phenomenological interpretation, it clearly indicates that
the reactants are definitely more prone to transformation than the
intermediate. The model equations best fit the experimental data with
a αmax value of about 0.85 and a rate constant k of about 0.14 min–1. A single rate constant
value suffices to describe satisfactorily the two reaction steps.
It follows that the amount of effectively processed material in a
single compression does not change during the transformation.Quite interestingly, the 0.14 min–1 value is
not far from those of 0.19 and 0.17 min–1 obtained
for the silver sulfadiazine formation. We ascribe the result to the
similar mechanical processing conditions used in the silver sulfadiazine
and dantrolene syntheses.
Conclusions
We
showed that in situ reaction monitoring by
Raman spectroscopy is applicable to the study of mechanochemical milling
processing and preparation of two model active pharmaceutical ingredients.
Raman spectra can be used to better understand such processing and
can be exploited in their optimization. For the metallodrug silversulfadiazine, while aqueous ammonia is necessary to achieve a chemical
reaction, too much ammonia has a contrary effect and slows down the
transformation, probably through stabilization of Ag+ species.
Synthesis of dantrolene is very slow if conducted by neat grinding
but is accelerated under LAG conditions. Using acetonitrile as the
liquid additive, an intermediate is recognized before the formation
of the target product.Worth noting is the mechanochemical set
up for in situ monitoring having a high-resolution
Raman system combined with a
unique suitable Raman P probe to investigate
mechanochemical transformations involving highly fluorescent compounds,
which may often be presented as an insurmountable obstacle for in situ Raman spectra collection using other technologies.
Indeed, this process-analytical tool is helpful to determine the end
point of the reactions and could be valuable for process optimization
and control at any scale. This approach is promising to broaden the
scope of Raman in situ investigations that would
otherwise be impossible and are highly important because Raman monitoring
is not limited by potentially poor crystallinity of the reaction mixture.In addition, a mathematical model has been applied to examine the
kinetic features of mechanochemical transformations for the preparation
of APIs, allowing deeper insight into the fundamental processes involved
in the chemical changes induced by mechanical processing. This approach
can eventually help to unveil the mechanisms responsible for the chemical
changes induced by the mechanical activation, thus paving the way
to a better understanding of the mechanochemical reaction kinetics
in the scale-up procedures for API,[71] including
metallodrugs and metallopharmaceuticals.
Authors: Ivan Halasz; Andreas Puškarić; Simon A J Kimber; Patrick J Beldon; Ana M Belenguer; Frank Adams; Veijo Honkimäki; Robert E Dinnebier; Bhavnita Patel; William Jones; Vjekoslav Strukil; Tomislav Friščić Journal: Angew Chem Int Ed Engl Date: 2013-09-23 Impact factor: 15.336
Authors: Ivan Halasz; Tomislav Friščić; Simon A J Kimber; Krunoslav Užarević; Andreas Puškarić; Cristina Mottillo; Patrick Julien; Vjekoslav Strukil; Veijo Honkimäki; Robert E Dinnebier Journal: Faraday Discuss Date: 2014 Impact factor: 4.008