laboratory notes
An automated platform for parallel crystallization of small organic molecules
aSolid-State Research Group, Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 27 Taylor Street, Glasgow G4 0NR, UK, and bISIS Facility, CCLRC Rutherford Appleton Laboratory, Chilton, Didcot, Oxon, OX11 1QX, UK
*Correspondence e-mail: alastair.florence@strath.ac.uk
An automated platform for parallel crystallization of small organic molecules from solution is described. The principal gain over manual crystallization lies in the automated sequencing of crystallization steps, including computer-controlled dosing of liquids and solids. The platform is designed to conduct 32 crystallizations per day, from solution volumes up to 10 ml, allowing a search for physical forms to be conducted over a finer grid than might be accessible manually and thereby increasing the probability of success.
Keywords: polymorph screening; crystallization; automation; solvates; powder diffraction.
1. Introduction
An effective approach to systematic searching for crystalline forms (polymorphs, solvates and/or salts) of organic molecules is an important element of any experimental study into physical form diversity, whether it be driven by commercial solids development (e.g. Morissette et al., 2004) or, as in this case, by academic research into control and prediction of the solid state (e.g. Florence, Johnston et al., 2006). The `bottleneck' in achieving a comprehensive experimental knowledge of physical form diversity is simply the sheer number of experiments (crystallizations plus concurrent analyses) needed to establish sets of conditions under which crystalline product is obtained. In this respect, automation offers clear advantages over manual effort, in terms of enhanced productivity and efficient data management.
2. Implementation
The automated parallel crystallization platform described below is a novel implementation of the Chemspeed Accelerator SLT100 parallel synthesizer, a commercially available platform designed to address chemistry-related applications, such as parallel organic synthesis. An outline of the main elements of the platform is shown in Fig. 1. The entire platform tray is housed within an enclosure of ca 1.7 m3 that reduces the possibility of airborne particulate contamination of solutions and enables the internal atmosphere to be controlled, and solvent vapours to be extracted, as necessary. Crystallization solutions are held in double-jacketed glass vessels, each capable of holding a solution volume of 1–10 ml at a temperature controlled by the flow of thermostatically heated oil. Each vessel contains a `cold finger', typically held at 278 K to condense gaseous solvent and minimize evaporation losses, particularly at elevated crystallization temperatures. The vessels are connected in pairs by a filtration system, allowing solutions or suspensions to be transferred, under vacuum, between the pre- and post-filtration vessels, through a high-surface-area sintered reusable glass filter (nominal pore size < 10 µm). Eight pairs of double-jacketed crystallization vessels are then securely mounted on each of four blocks (Fig. 1) that utilize motorized ceramic plates to either open each glass vessel (e.g. to allow liquid and solid dosing, or evaporation of solvent) or close it (e.g. to prevent excessive evaporation, or allow a vacuum to be pulled).
Two temperature zones can be set up, with isothermal crystallization (233–523 K) and rapid cooling (up to ca 5 K min−1 readily accessible, depending on the number of crystallization vessels and external chiller specification) both possible. The rate of solvent evaporation can be varied by applying a vacuum or by passing dry nitrogen over a solution, and agitation is provided by dual orbital shakers built into the floor of the platform. The platform also makes provision for storage of up to six 2.5 l solvent vessels (e.g. for washing cycles) plus over sixty 50 ml septum-sealed vessels containing the library of crystallization solvents.
Automation for the platform is effected by a robotic arm that is capable of translational (x, y, z) and rotational (α) movements. This enables the handling of both solids and liquids by the programmed exchange of the solid dispensing unit and the needle-head (Fig. 1).
2.1. Crystallization protocol
In the configuration described here, the platform is capable of 32 simultaneous crystallizations (i.e. eight post-filtration crystallization vessels in each of the four blocks; Fig. 1) via evaporation, controlled cooling or anti-solvent addition. Crystallization protocols are enabled under computer control using a programming interface (Autosuite Software, Chemspeed Technologies, 2006). A typical crystallization protocol is illustrated in Fig. 2, which summarizes the key steps of dissolution, filtration and Typically, a solution volume of 3–8 ml is used to ensure that sufficient polycrystalline sample is produced for X-ray powder diffraction (XRPD) and even from solvents in which the solute has a relatively low solubility. The diverse range of polar and non-polar solvents that comprise the solvent library have been detailed elsewhere (Florence, Johnston et al., 2006).
2.2. Sample retrieval and system cleaning
At the time of writing, recrystallized solid is recovered manually from suspension by rapid vacuum filtration through individual membrane filters, though the feasibility of automating this key step is being investigated. Each sample (ca 1–50 mg) is then transferred to a multi-well automated xy sample stage for analysis by XRPD, using a diffractometer with foil transmission geometry, primary monochromated radiation and a position-sensitive detector (Florence et al., 2003). Using this approach, it is possible to collect high-quality diffraction patterns from up to 32 samples per day, matching the daily sample output of the crystallization platform.
Automated cleaning cycles, with the glass vessels in situ, are enabled via the automated liquid handling system. Suitable solvents, such as water, N,N-dimethylformamide and acetone, are rinsed through the glassware arrays (spray needles provide an effective means of rinsing each vessel) and tubing in cycles at elevated temperature, effectively removing residual solid.
3. Summary
The platform described here is distinct from many high-throughput approaches used in industry, principally in that it is designed to support an academic research program into control and prediction of the solid state, rather than provide evidence to support commercial solids development. As such, the emphasis is on controlling critical parameters in the nucleation and crystallization processes, rather than maximizing throughput or miniaturizing hardware to accommodate small amounts of commercial lead compound. That said, all implementations of parallel methods, irrespective of their specific design features, automate what is otherwise a standard sequence of crystallization steps. The principal gain over manual crystallization stems from the fact that automation enhances productivity, allowing the search for physical forms to be conducted systematically and reproducibly over a finer grid (e.g. larger solvent library) than might be accessible manually, increasing the probability of observing new forms. In practise, making due time allowance for set-up, sample retrieval and cleaning between experiments, experience has shown that 32 crystallizations per working day is sustainable. Further opportunity for productivity enhancement comes from integration of the platform control PC with an electronic laboratory information management system (LIMS) to provide effective archival, search and retrieval facilities for the recorded control parameters associated with large numbers of crystallizations.
A detailed example of parallel crystallization using this platform (excluding the functionality described here) can be found in the previously reported search for predicted crystal structures of carbamazepine (Florence, Johnston et al., 2006), an anti-epileptic drug that has been investigated extensively for more than three decades. To quantify that particular exercise, a total of 594 individual crystallizations across 66 solvents yielded 403 samples giving measurable XRPD data, amongst which were three non-solvated polymorphic forms, one hydrate and eight organic solvates, with three crystal structures previously unreported. The results of this wide-scale automated search provided the basis for a subsequent set of more targeted, small-scale manual crystallizations that yielded a novel carbamazepine (1:1 with 10,11-dihydrocarbamazepine), representing a significant step forward in completing the picture of favourable bonding and packing arrangements within this compound (Florence, Leech et al., 2006). In summary, the platform is well specified for systematic experimental investigations into the physical form diversity of pharmaceuticals and other small organic molecules.
Acknowledgements
The authors thank the Basic Technology Programme of the UK Research Councils for funding under the project Control and Prediction of the Organic Solid-State (http://www.cposs.org.uk).
References
Chemspeed Technologies (2006). Autosuite Software, version 1.5, Augst, Switzerland. Google Scholar
Florence, A. J., Baumgartner, B., Weston, C., Shankland, N., Kennedy, A. R., Shankland, K. & David, W. I. F. (2003). J. Pharm. Sci. 92, 1930–1938. Web of Science CSD CrossRef PubMed CAS Google Scholar
Florence, A. J., Johnston, A., Price, S. L., Nowell, H., Kennedy, A. R. & Shankland, N. (2006). J. Pharm. Sci. 95, 1918–1930. Web of Science CrossRef PubMed CAS Google Scholar
Florence, A. J., Leech, C. K., Shankland, N., Shankland, K. & Johnston, A. (2006). CrystEngComm, 8, 746–747. Web of Science CSD CrossRef CAS Google Scholar
Morissette, S. L., Almarsson, O., Peterson, M. L., Remenar, J. F., Read, M. J., Lemmo, A. V., Ellis, S., Cima, M. J. & Gardner, C. R. (2004). Adv. Drug Del. Rev. 56, 275–300. Web of Science CrossRef CAS Google Scholar
Munsch, C. (2003). Four Channel Needle Head, Technical Note 14, Chemspeed Technologies, Switzerland. Google Scholar
Schröer, J. & Diep, A. (2003). Convenient, Accurate and Precise Dispensing, Technical Note 26, Chemspeed Technologies, Switzerland. Google Scholar
© International Union of Crystallography. Prior permission is not required to reproduce short quotations, tables and figures from this article, provided the original authors and source are cited. For more information, click here.