Understanding crystal growth kinetics is of great importance for the development and manufacturing of crystalline molecular materials. In this work, the impact of additives on the growth kinetics of benzamide form I (BZM-I) crystals has been studied. Using our newly developed crystal growth setup for the measurement of facetspecific crystal growth rates under flow, BZM-I growth rates were measured in the presence of various additives previously reported to induce morphological changes. The additives did not have a significant impact on the growth rates of BZM-I at low concentrations. By comparison to other systems, these additives could not be described as "effective" since BZM-I showed a high tolerance of the additives' presence during growth, which may be a consequence of the type of growth mechanisms at play. Growth of pure BZM-I was found to be extremely defected, and perhaps those defects allow the accommodation of impurities. An alternative explanation is that at low additive concentrations, solid solutions are formed, which was indeed confirmed for a few of the additives. Additionally, the growth of BZM-I was found to be significantly affected by solution dynamics. Changes in some facet growth rates were observed with changes in the orientation of the BZM-I single crystals relative to the solution flow. Of the two sets of facets involved in the growth of the width and length of the crystal, the {10l̅ } facets were found to be greatly affected by the solution flow while the {011} facets were not affected at all. Computational fluid dynamics simulations showed that solute concentration has higher gradients at the edges of the leading edge {10l̅ } facets, which can explain the appearance of satellite crystals. {10l̅ } facets were found to show significant structural rugosity at the molecular level, which may play a role in their mechanism of growth. The work highlights the complexities of measuring crystal growth data of even simple systems such as BZM-I, specifically addressing the effect of additives and fluid dynamics.
Organic compounds can crystallise in different forms known as polymorphs. Some polymorphs have disappeared from the physical world, never to be recrystallised again under the same conditions. The most infamous of these cases is that of the HIV drug ritonavir: once its reluctant stable form II was unwillingly nucleated for the first time, its desired but metastable form I could never be produced again with the same manufacturing process. The disappearance of metastable polymorphs remains a mysterious phenomenon, and the lack of control over it can be frustrating and costly for drug development. Here we show that Ritonavir’s extraordinary disappearing polymorph can be consistently produced by ball-mill grinding. Our work shows that not only crystal size, but also crystal shape and molecular conformation dictate polymorph stability switches in the mill. Through population balance modelling simulations, we also demonstrate how the size and shape of crystals at the steady state are determined by crystal breakage, dissolution and growth kinetics in the mill, which in turn can be controlled by the milling conditions. This work highlights the huge potential of mechanochemistry in polymorph discovery, and the manufacturing and control of complex flexible drug compounds such as Ritonavir.
The presence of needle- and plate-like particles has detrimental consequences on their downstream processing in the fine chemicals sector. Therefore, the ability to accurately characterize the particle size and shape of the powder is essential to quantify and predict their impact on the product processability. Nonetheless, tools able to characterize the size and -- most importantly -- the shape, of ensembles of cuboidal crystals are seldom available. Thus, the overarching goal of this work is to provide a fast and accurate offline size and shape characterization tool. To this aim, we have designed and experimentally validated a combined imaging and chromatic confocal microscopy technique. We propose two modes of operation: one that facilitates the 3D reconstruction of particles at the expense of characterization time; and the other that facilitates rapid characterization without the need to 3D reconstruct the particles. We evaluate and validate the performance of our technique, using a commercial technique as a reference, by characterizing particles that exhibit differences in size and shape characteristics and optical properties. We show that our technique can be used to accurately obtain three characteristic lengths (length, width, and thickness) for thousands of particles, making it a valuable addition to existing process analytical technology.
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