K. Vasanth
Kumar‡
*ab,
Claire
Heffernan§
a,
Kiran A.
Ramisetty¶
a,
Christopher A.
Howard
c and
Sergey
Beloshapkin‡
a
aSynthesis and Solid State Pharmaceutical Centre and Bernal Institute, University of Limerick, Ireland. E-mail: vasanth.kannuchamy@ul.ie
bPharmaceutical Manufacturing Technology Centre (PMTC), University of Limerick, Ireland
cDepartment of Physics & Astronomy, University College London, London, WC1E 6BT, UK
First published on 11th February 2022
Impurities are frequently encountered during the crystallisation of active pharmaceutical compounds. Impurities can either adsorb onto active sites or replace atoms of the crystal lattice. Locating the impurities, especially structurally-similar impurities, on the crystal surface is challenging. In this work, we showed that time-of-flight secondary ion mass spectrometry (TOF-SIMS) can be successfully used to simultaneously quantify the composition of the two structurally-similar impurities, demethoxycurcumin (DMC) and bisdemethoxycurcumin (BDMC), on the surface of the curcumin (CUR) crystals obtained from crystal growth and cooling crystallisation experiments. The distribution of the three curcuminoids on the crystal surface was evaluated through imaging of the specific ions that correspond to intact molecules of the curcuminoids. In terms of location, both BDMC and DMC were evenly distributed on the surfaces of the facets of the curcumin crystals. Additionally, we found that BDMC and DMC occupy their own sites or they are located on the same site on the crystal surface providing evidence for lattice replacement of these molecules. Thus our results demonstrate the potential of TOF-SIMS to provide new information that can help to understand crystallisation.
Typically, chromatographic techniques are employed to quantify the amount of impurities being incorporated into the crystals. Bulk changes induced by impurities can be determined using X-ray diffraction and using a range of spectroscopic techniques. To fully elucidate the effects of impurities during crystal growth, information about the location of impurities is necessary. Impurities can be surface selective and can preferentially adsorb onto a specific crystal face or replace a specific crystallographic plane.12 It is experimentally challenging to map the location of impurities on the crystal surface when dealing with structurally-similar impurities. For instance, widely-used techniques such as X-ray photoelectron spectroscopy (XPS) and energy-dispersive X-ray spectroscopy (EDX) cannot provide direct information about the surface distribution of structurally-similar impurities at the molecular level. Likewise, spectroscopic techniques such as Raman spectroscopy also suffer from similar limitations, unless the impurities directly affect the vibrational modes of the bulk crystal. The use of these techniques becomes ambiguous, especially if we have deal with the presence of more than one impurity which may be structurally similar to the crystallizing compound.13
In this context, TOF-SIMS can be a potentially useful technique and can provide high-quality information about the impurity locations on the surface of a bulk crystal, especially while dealing with structurally-similar impurities. More importantly, TOF-SIMS can also provide a chemical map with specificity, detection limit and resolution that matches the resolving power of mass spectrometry.14 The imaging can be performed at a spatial resolution that can expose the location of the adsorbed impurities on the crystal surface or even in the bulk of the crystal. TOF-SIMS has already been used to characterize polymeric and biological samples.15–19 The detailed working principles and the advantages of SIMS can be found in the work of Liebl.20 TOF-SIMS is a retrospective technique and enables detailed post-acquisition analysis to get in-depth molecular information.21,22 TOF-SIMS is considered as a process analytical technique during manufacturing of pharmaceutical products for root cause investigations. The application of TOF-SIMS in the pharmaceutical sector is reviewed by Barnes et al.23 TOF-SIMS remains a state-of-the-art technique and one of the few that can spatially resolve chemical data of organic compounds and can connect with the morphological aspects of the materials of interest.
In this work, we exploit the ability of TOF-SIMS to connect chemical data to sample morphology and map the distribution of two structurally-similar impurities, bisdemethoxycurcumin (BDMC) and desmethoxycurcumin (DMC), in the final product of curcumin (CUR) crystals crystallized from their impure solutions. This system is purposely chosen as the molecular structure of the impurities is similar to that of the crystallizing compound (see Fig. 1) and their molecular weight differs from each other only by a few grams per mole (molecular weight of CUR: 369 g mol−1, DMC: 339 g mol−1, BDMC: 309 g mol−1), containing the same types of atoms, functional groups and chemical coordination. This means that commonly-used techniques like XPS and EDX cannot be implemented to probe the material for the impurities. Also, this system is particularly difficult to probe with spectroscopic techniques like Raman spectroscopy as here all the structurally-similar molecules add-up to the intensity of scattered light and there is no straightforward technique to deconvolute the spectra in order to obtain quantitative information about the percentage of the impurities, especially their location in the sample. Furthermore, Raman spectroscopy requires stable instrument conditions, homogeneous solid properties of the different samples, and similar measurement conditions that include laser power, irradiation time, spectral resolution, number of acquisitions, and even sample orientation. Additionally, the present system CUR grows as needles or as spherulites composed of near micron sized filaments. A frequently encountered problem during the growth of curcumin is the outgrowth of new crystals on the surface of the growing single crystal. This makes it even more difficult to chemically map the surface of the growing face using spectroscopic techniques. TOF-SIMS will be a complementary and ideal technique to deal with this type of system as it can chemically map the crystal surface at the micron scale and at the molecular level; it can expose the atomic/molecular components in the system and thus does not require any supervised learning or chemometrics.20 More importantly, it can provide a discrete, high-resolution chemical map of the target compound curcumin and the two other impurities on the surfaces of the crystals. Additionally, a high-resolution chemical map of the molecules of interest can be obtained for several crystals to few crystals or even a specific facet (if required) of a particular crystal by operating TOF-SIMS in spectroscopy mode or in imaging mode. Spectroscopy mode gains information about the bulk product as a large area can be mapped for its chemical composition, whereas in imaging mode the quality of up to a single crystal can be exclusively probed and the locations of the impurities can be identified. In this work, we operated TOF-SIMS in both spectroscopy and image modes, to quantify the concentration of the two structurally similar compounds, BDMC and DMC, on the surface of the form I (FI) curcumin crystals and a new form of curcumin spherulite. We also provided the TOF-SIMS reference spectra for the pure CUR and the two other impurities DMC and BDMC, which can be added to chemical libraries. The purpose of this work is to show how TOF-SIMS can be used to map the spatial distribution of the two structurally similar impurities on the surface of the bulk crystals obtained from cooling crystallisation and crystal growth experiments. We compare the results obtained from HPLC and discuss how these techniques will complement each other and provide useful information to crystallisation scientists. Additionally, we discuss the advantages, limitations and practical difficulties that we encountered while using this technique to characterise the surface concentration of impurities. Finally, based on the TOF-SIMS results, we made key theoretical arguments to explain the influence of structurally-impurities on the nucleation and crystal growth kinetics of the studied model compound curcumin in the presence of structurally-similar impurities.
To generate the reference spectra of the curcuminoids, a small quantity of the pure components of the curcuminoids (CUR_s, DMC_s and BDMC_s) was dissolved in excess of isopropanol in order to obtain a dilute solution of the pure compounds. The diluted solution was then immediately drop-cast onto a clean aluminium foil using a plastic dropper. The solution was then allowed to dry completely on the aluminium foil before TOF-SIMS analysis. The TOF-SIMS spectra of all the other samples were obtained by depositing the solids directly on sticky tape mounted on a carbon substrate.
TOF-SIMS data analysis was performed both during acquisition and post-acquisition using the collected raw data. Data analysis was performed with the SURFACELAB 6.7 software (ION-TOF Gmbh) using the signals of CH3+ (m/z 15.022927), C2H3+ (m/z 27.022927), and C4H7+ (m/z 55.04227) for internal mass calibration. During real-time, the concentration of the three curcuminoids was recorded based on the known priori, intense molecular ion peak that represents the intact molecules of CUR, DMC and BDMC. Further interpretation of the collected spectra and the peak assignments of the molecular fragments to test the presence of any impurities (like silica in the samples) were performed during the post-acquisition stage. The total ion yield was significantly low in the imaging mode and thus the TOF-SIMS spectra of the crystalline materials were mostly obtained in spectroscopic mode. The imaging mode was chosen only on few occasions in order to expose the chemical features and how they are distributed on the crystal surface at the near micron level.
Experimental detail | Final morphology | Crystal structurea | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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a Crystalline structure was determined using PXRD. The PXRD analysis of the needle shaped and the curcumin spherulites is described in detail in our recent work.33 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Three curcuminoids, CUR, DMC and BDMC (see section 2.2.1.) | Featureless structures (not shown or discussed in this work) | — | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Single crystals of pure curcumin (see section 2.2.2.) | Needles (Fig. 2a–c) | FI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Single crystals of nominal purity (see section 2.2.3.) | Needles (Fig. 2d–f) | FI | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Spherulites of high purity (see section 2.2.4.) | Spherulites (Fig. 2g–i) | New form of curcumin | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Crystals obtained from crystal growth experiments (see section 2.2.5.) | Needles (Fig. 2j–l) | FI |
Sample | HPLC obtained values | TOF-SIMS obtained values | ||||
---|---|---|---|---|---|---|
CUR (wt%) | DMC (wt%) | BDMC (wt%) | CUR (wt%) | DMC (wt%) | BDMC (wt%) | |
Crude CUR | 78.6 | 17.8 | 3.6 | 9.56 ± 1.07 | 24.06 ± 1.01 | 66.38 ± 2.08 |
CUR_s | 100 | nd | nd | 97.9 ± 1.95 | 1.74 ± 0.05 | 0.36 ± 0.01 |
DMC_s (dmc1) | nd | 100 | Trace | 23.7 ± 0.33 | 75.1 ± 1.43 | 1.1 ± 0.02 |
BDMC_s (bdmc1) | 100 | Trace | nd | 1.27 ± 1.4 | 7.81 ± 0.09 | 90.92 ± 1.64 |
CUR_n | 100 | nd | nd | 6.1 ± 0.58 | 5.26 ± 0.45 | 86.64 ± 1.02 |
CUR_n_impure | 92.28 | 7.72 | nd | 3.74 ± 1.04 | 21.41 ± 0.39 | 74.86 ± 0.73 |
CUR_sph | 100 | nd | nd | 4.5 ± 0.2 | 11.4 ± 0.29 | 84.1 ± 0.33 |
CUR_cg | na | na | na | 9.56 ± 1.07 | 24.06 ± 1.01 | 66.38 ± 2.08 |
Despite the fact that the samples were prepared with extra care, the molecular ion peak [M + H]+ of CUR was detected in the two other curcuminoid samples, DMC_s and BDMC_s. Likewise, the molecular ion peak [M + H]+ of the curcuminoids can be detected but in a negligible amount in CUR_s. Based on the ratio of the peak area that corresponds to intact molecules of the three studied compounds, we found that CUR (m/z = 369) is present only in trace amounts in the reference curcuminoid sample, BDMC_s, and >20% in DMC_s (shown as a pie-chart in Fig. 3b–d; see also Table 2 where we showed the TOF-SIMS obtained weight percentage of the curcuminoids in CUR_s, DMC_s and BDMC_s). The pure CUR carefully obtained via preparative column chromatography contains only trace quantities of the two curcuminoids (see Fig. 3b and Table 2). On the other hand, for the case of the other two curcuminoids, DMC and BDMC, obtaining a pristine surface of these curcuminoids seems to be a practically difficult task as TOF-SIMS results confirmed that both of these samples contain significant amounts of impurities. It should be mentioned here that the HPLC analysis confirmed that the curcuminoids DMC and BDMC are pristine materials (see Table 2). In particular, HPLC confirmed that the sample DMC_s contains only trace quantities of CUR as opposed to the 23 wt% of CUR determined using the TOF-SIMS technique. This observation does not limit the usefulness of the TOF-SIMS technique. Rather it is a useful finding, and it exposes the sensitivity of this technique. TOF-SIMS detects even the presence of impurities in trace amounts on the surface under focus. For instance, the molecular ion peak [M + H]+ of CUR, BDMC, and DMC alone is enough to simultaneously quantify the weight percentage of impurities and to identify the location of impurities on the crystal surface.
The high sensitivity of this technique can also be imaged via obtaining a chemical map of the individual components and determining how they are distributed on the surface. Fig. 4 shows the colored ion images of the characteristic molecular ion peaks of CUR, BDMC and DMC and the RGB (red for CUR, green for DMC and blue for BDMC) overlay image of all the three reference samples, Cur_s (Fig. 4a), DMC_s (Fig. 4b) and BDMC_s (Fig. 4c). TOF-SIMS clearly produced well-defined images that are specific to intact individual molecular components. The overlay image shows that very little overlap is seen on the reference compounds and this should allow us to locate the concentration or the distribution of these compounds on the sample surface. The overlay images clearly show pure red, green and blue colours that correspond to CUR, DMC and BDMC, in the curcuminoid standards, CUR_s, DMC_s and BDMC_s, respectively. Clearly the colored ion images of the molecular ions specific to the curcuminoid molecules and their RGB overlay can expose the distribution of these molecules on the surface. These chemical images, while clearly exposing the near pristine nature of each of the pure components, also provide the map of the other impurities (or components) that are present in trace quantities (that cannot be detected using the conventional HPLC technique) in each of these pure curcuminoid standards.
The curcuminoids CUR, DMC and BDMC have similar molecular weight and if we assume that the ionization probability is the same, then the sum of the areas of the peaks of each component must be proportional to the total concentration of these components altogether. Thus, from the peak area, it is possible to obtain quantitative information about the product purity. To test the validity of this assumption, in Fig. 5b we plotted the chemical composition of the crude curcumin calculated based on the area of the molecular ion peak of CUR, DMC and BDMC. According to the peak area, the crude composition was estimated to be BDMC: 9.56 wt%, DMC: 24.06 wt% and CUR: 66.38 wt% (see Table 2). These values differ from the HPLC determined values given by CUR: 78.6 wt%, DMC: 17.7 wt%, and BDMC: 3.6 wt% (see Table 2). Clearly the concentration determined by HPLC and TOF-SIMS differs. The quantitative relationship between HPLC results and the ones obtained from the molecular ion peaks is difficult to obtain due to the complexity associated with the ionization mechanism or also called the matrix effect.17,37 It should be remembered that the resolution of these techniques and their working principles are different. It is possible to obtain a clear separation of the individual components with chromatographic techniques and their percentage composition in the bulk of the material can be quantified. On the other hand, in static mode, TOF-SIMS can only recognize the chemical composition on the top surface layer of atoms or molecules.38 If the surface under inspection contains more than one component (in our case, the surface contains CUR, DMC and BDMC), the ionization probability is changed by the interaction of more than two types of materials or also called as the matrix effect. In that case, the ratio of the absolute TOF-SIMS counts for the three compounds can be different than the actual concentration of these materials as the ionization probability depends on the material itself. The predicted weight percentage of CUR based on the area of the molecular ion peak was slightly lower than the values obtained from HPLC. This seems to be a common observation while using the TOF-SIMS technique to predict the concentration of the molecules as the ionization probability or the efficiency of ionization and ion yield depends on the type of the molecule and the environment.37 In a few cases, the ionization probability of the material can lead to lower counts for the higher concentration material.23,37,39 Another issue in quantifying the impurity concentration on the surface is that the relationship between the peak area ratios of impurity to CUR versus the impurity concentration does not necessarily need to be linear.37 In the present case, the as-received crude curcumin from the supplier was a fully pulverised and homogeneous mixture that contains all the three curcuminoids. Thus, we expect that the surface concentration of CUR and the impurities should reflect the characteristic weight percentage of these compounds in the bulk of the sample and may match with the values determined using the HPLC technique. The peak intensity will also be influenced by the concentration of impurities on the surface. If the impurities are present in lower concentration, at sub-monolayer coverage, then typically there exists a linear relationship between the selected ion peak intensity and the concentration of the compound of interest. At higher concentrations, there can exist a non-linear relationship between the peak intensity/peak area (as in the present case) and the concentration of the impurities and quantification of impurity concentration merely based on the peak area will be complex. Our experimental results show that, for the case of solid curcumin samples, it may not be a straightforward approach to determine the percentage impurity on the surface merely based on the ion counts of each component. Nevertheless, if we compare the composition of curcuminoids obtained from HPLC and TOF-SIMS (see Table 2), it can be realised that the global trend is not influenced by the above discussed matrix effect. Both TOF-SIMS and HPLC confirm that the crude material contains a higher amount of CUR, followed by DMC and BDMC. The higher the composition of CUR in the sample as determined by HPLC, the higher the area of the molecular ion peak of CUR in the TOF-SIMS spectra.
Despite the results obtained from TOF-SIMS being biased due to the matrix effect and thus cannot be matched to the ones obtained from HPLC, both techniques should complement each other while characterising solid materials. For instance, HPLC can provide the bulk composition, whereas TOF-SIMS can give quantitative information about the composition of curcuminoids on the surface under the analysis window. It is worth mentioning here that the above discussed limitation (matrix effect) can be possibly mitigated by preparing thin films of the bulk product which that can be made by drop casting or spin coating of a highly diluted solution of the crude curcumin in a suitable substrate. This way it is possible to evenly deposit a few layers of the targeted compounds on the substrate surface (similar to the experimental protocol used to collect the reference spectra – see section 2.2.). This is not performed in this study for the crude curcumin because the main focus here is to obtain a chemical map of the surface rather than the bulk of the material. In any case, these limitations or the requirement for a rigorous experimental protocol do not limit the usefulness of this method which is to spatially resolve the chemical data. In Fig. 5c we showed the molecular ion images of CUR, DMC and BDMC in the crude curcumin; also shown is the RGB overlay of these components. Clearly, the TOF-SIMS images show that both the structurally similar impurities, DMC and BDMC, are homogenously distributed which can be expected from a completely pulverized product. The molecular ion images shown in Fig. 5c are obtained in spectroscopy mode and if required the image resolution can be improved by acquiring the ion images in imaging mode (this issue is discussed in detail in the later section).
The ionisation efficiency and yields of ions will contribute to the changes with respect to the species and the local environment. TOF-SIMS is sensitive to almost the first molecular monolayer of a sample within the static operational regime (book) and it is more likely that, the recorded DMC and BDMC could be the deposits of the impurities on the surface of the crystallites from the mother liquor that contains a significant amount of impurities. In any case, we eliminated this possibility by rinsing all the samples with an isopropanol/water (70/30 v/v) solvent mixture at least ten times to ensure that the surfaces are free of the mother liquor. It should be stressed here that TOF-SIMS is not essentially a technique suitable to predict the bulk properties, and the SIMS spectra cannot be simply compared to the ones obtained from conventional spectroscopic/chromatographic techniques. TOF-SIMS relies on the degree of ionization and involves disruption of molecules during the measurement and thus cannot be easily correlated to the values obtained from HPLC techniques where the analyte molecules are kept intact. The interaction of energetic ions with solid samples of organic compounds could create a complex sequence of phenomena and thus the link between the initial conditions and the final SIMS spectra may be often different. In the present study, this issue can be realized from the percentage composition of the curcuminoids in CUR_n which is supposedly a pristine material with only trace quantities of impurities. One reason can be attributed to the fundamental aspects of the interaction between energetic ions and the surface of the organic materials. The level of damage induced by primary ions, extent of molecular fragmentation, rearrangement and chemical reactions induced by primary ions on solid samples all can influence on the SIMS spectra.14 The discrepancy in the weight percentage of the curcuminoids determined using HPLC and TOF-SIMS can also be attributed to the crystallisation mechanism itself. During the cooling crystallisation, at the early stage of the nucleation, the target molecules tend to assemble to form prenucleation clusters which may evolve into stable crystallites or also called stable nuclei. These nuclei can be essentially pure, however, during the growth of these nuclei, it is more likely that the impurities may adsorb or replace the crystal lattice. The impurity transfer can take place, at the later stage of the crystallisation, when the supersaturation approaches the solubility concentration. In that case, only the external surface of the crystals will contain impurities. The concentration of the impurity on the surface of the crystals may be of negligible quantity when compared to the concentration of the entire bulk crystal of curcumin. As TOF-SIMS characterise very few layers on the surface of the crystals, it cannot represent the bulk properties of the crystals characterised using HPLC.
To check the limitation of the TOF-SIMS technique, we prepared a dilute solution of CUR_sph and CUR_n using isopropanol as a solvent followed by dip coating of this solution on aluminium foil. Fig. 7a and b show the molecular ion peaks [M + H]+ of CUR, BDMC, and DMC in the surface dip coated with the solutions of CUR_sph and CUR_n, respectively. For comparison purposes, in these figures, we also showed the molecular ion peaks [M + H]+ of the intact curcuminoids obtained from their solid crystalline materials. Based on the area of these peaks, we calculated the weight percentage of the curcuminoids in these samples. The TOF-SIMS spectra from the Al foil coated with these solutions show that CUR_s contains 0.36 wt% BDMC and 1.74 wt% DMC and CUR_n contains 0.32 wt% of BDMC and 1.45 wt% of DMC. These values indicate that these samples are essentially pure which agrees with the results obtained using the HPLC technique (see Table 2). However, these values do not match with the weight percentage of the impurities obtained directly from the solid crystalline materials using TOF-SIMS (see Fig. 6a and c). Clearly, the sample preparation technique itself plays a big role in the sensitivity of the TOF-SIMS technique. In the case of solid samples, deposited on sticky-tape (see section 2.4.), the surface is clearly not a flat surface. In this case, the primary ion projectile could hit different faces of the crystal and thus the chemical environment within the raster area would be completely different to that of the dip coated surfaces. Typically, the primary ions penetrating the solid surface will cause successive collisions with atoms and molecules, transferring energies producing different molecular fragments, and can produce SIMS spectra that may differ from the characteristic property of the actual target molecules.14
In Fig. 8a and b, we show the colored ion images of the characteristic molecular ion peaks of CUR, DMC and BDMC and the RGB (red for CUR, green for DMC and blue for BDMC) overlay image of solid samples of CUR_sph and their solution coated on the Al foil, respectively. In the case of the CUR_s sample prepared using the dip coating technique, the overlay image clearly shows red colour that corresponds to CUR. This means that the CUR_s sample is essentially pure. On the other hand, the RGB overlay of the solid samples of CUR_s shows the distribution of red, green and blue colours on the samples. This clearly indicates that the impurities are distributed evenly and slightly in higher concentration (when compared to the same sample prepared via dip coating) on the surface of the crystallites.
Likewise, we observed such discrepancies in the positive ion peak area of the curcuminoids in the as-crystallised CUR_n sample (Fig. 9a) and the same sample prepared via dip coating (Fig. 9b). If we compare the RGB overlay images in Fig. 9a and b, it can be realised that the sample preparation method influences the experimental outcome. The RGB overlay of the CUR_n sample prepared using the dip coating technique shows red colour that corresponds to CUR. In the RGB overlay of the solid samples of CUR_n, although the sample predominantly contains CUR, we observed a uniform distribution of green and blue colours on the surface of the samples that correspond to DMC and BDMC. This clearly indicates that the impurities are distributed evenly on the surface of the curcumin crystals and in concentration slightly higher than the ones observed on the dip coated surface. It should be remembered that the degree of molecular fragmentation will be different depending on the crystal face under the beam of the primary ions. For instance, the methoxy groups are more vulnerable if the primary ions impinge on the (1 0 0) face (see Fig. 10a). Likewise, the projectile of the primary ions hitting on the (0 1 0) plane (see Fig. 10b) can bombard 80% of the CUR structure plus the methoxy and hydroxyl groups attached to one end of the aromatic ring. In the (0 0 1) (see Fig. 10c) plane, the hydroxyl group and the keto-oxygen are vulnerable to the primary ions. These effects can be minimized by preparing a homogenous surface via solution drop-casting techniques as used in this work to obtain the reference spectra of curcuminoids.
Finally, we also obtained the chemical map of the CUR_n_impure crystals using TOF-SIMs in spectroscopy mode (see Fig. 11). For convenience, together with the RGB overlay, we show the chemical maps of different ions, CUR, DMC and BDMC in red, blue and green, respectively. Within the field of view of analysis, we have roughly seven to eight crystals. The coloured ion maps clearly show that the impurities are evenly distributed on the surfaces of these crystals. There are several locations where we observed green and blue spots on the surface of the crystals within the field of view of analysis. This clearly indicates that the impurities are evenly distributed and occupy their own site on the crystal surface. We also observed a brighter green spot on the crystal. This means that the concentration of one of the structurally similar impurities is relatively higher in that crystal when compared to other crystals in the sample. Another notable observation is that the overlay image contains new colours, which indicates that the two structurally-similar impurities adsorb on the same site. This is crucial information from the crystal growth science viewpoint as it clearly indicates that all the facets of the crystal show equal affinity towards the two structurally similar impurities. Additionally, a site which can preferentially adsorb or replace DMC can also host or replace BDMC during the crystallisation process. This can be expected, as the impurities are structurally similar to the crystallising compound (CUR) and in that case, during nucleation and crystal growth, these impurities DMC and BDMC can incorporate into the crystal via lattice replacement.
So far, we discussed all the results based on the TOF-SIMS spectra and the positive ion images obtained in the spectroscopy mode. Except for spherulites and the crude curcumin, all the other samples obtained from cooling crystallisation and crystal growth experiments produced needle shaped crystals. These crystals are roughly around 180–200 μm by length and 20–30 μm by width and there exists a size distribution in the final samples. In this work for the spectroscopy mode, we set the field of view of analysis to 300 × 300 μm2 and while imaging, we set the field of view of analysis to 130 × 130 μm2. As we mentioned earlier, primary ions generate a damage front ahead of the sputtering regime; this means that the molecular ions and fragment ions obtained represent only the outermost layer of the sample. This in turn alters the total ion yield depending on the spatial resolution. The higher the spatial resolution, the lower the number of molecules in the area of a single pixel and the number of ions that can be generated and detected from the area will decrease proportionally with the spatial resolution. In spectroscopy mode, the analysis window which we set is sufficient to characterise roughly up to fifteen to twenty crystals and the ion yield is sufficient to characterise the weight percentage of curcuminoids on the surface under the field of view of analysis. Thus, the positive ion spectra collected over three to five different spots per sample should provide characteristic and quantitative information about the distribution and location of the curcuminoids on the surfaces of the crystals. In imaging mode, despite the fact the set analysis window can roughly expose the weight percentage of the curcuminoids on the surface of crystal facets, it compromised the total ion yield, making it difficult to quantify the weigh percentage of the curcuminoids on the sample. On the other hand, the imaging mode provides a better image resolution which allows us to observe the distribution of impurities on the crystal facets. For comparison purposes, in Fig. 12b and c, we showed the coloured ion maps of the three curcuminoids and the RGB overlay in CUR_cg obtained in spectroscopy and imaging mode, respectively. The coloured ion maps in Fig. 12b and c clearly indicate that the impurities are evenly distributed on the crystal surface. The images acquired in imaging model provide a better magnification of the location of impurities on the crystal facets. The crystals are essentially needle shaped with a high aspect ratio and this makes it difficult to focus on a particular facet of the curcumin crystals. However, in the imaging mode, within the field of view of analysis, it is possible to recognize that all the facets contain the two structurally similar impurities, and they are evenly distributed (see the coloured ion maps of DMC and BDMC shown in Fig. 12c). Another notable observation is that the RGB overlay image in Fig. 12c contains several secondary colours. This indicates that the curcuminoids are located on the same area of the surface. This can occur when the topmost few layers of the surface are formed by the ordered arrangement of the curcuminoids on top of each other. This indicates that, the structurally similar impurities BDMC and DMC should have replaced the curcumin molecules in the crystal lattice (see Fig. 12f where we showed a model representation of the curcumin molecules in the crystal lattice replaced by the structurally similar impurities BDMC and DMC). In Fig. 12d and e, we represented the ion images of the curcuminoids obtained in spectroscopy and imaging modes in the form of a carpet plot, respectively. The higher the number of peaks and the higher the peak heights on the carpet plot, the higher the ion yield with respect to that of the molecular ion on the surface. Clearly, the ion yield is better in spectroscopic mode, which is required to obtain quantitative information about the surface composition. Additionally, the carpet plot of the ion images obtained in spectroscopy mode clearly shows that the impurities are evenly distributed on the surface of the crystals under the field of view. Experimentally, irrespective of the mode of operation, the statistics can be improved by acquiring the TOF-SIMS spectra or the ion images at multiple locations over multiple samples.
TOF-SIMS is a very useful technique and if the samples are carefully prepared, it can provide quantitative to semi-quantitative information about the concentration of the impurities and can easily spot the location of the impurities on the crystal surfaces. If used with other analytical techniques like HPLC, TOF-SMS can help to simultaneously quantify both the surface concentration of the impurities and their locations on the crystal facets. As we showed in this work, the chemical properties of bulk crystals can be characterised at the molecular level by probing the surface coated with the dilute solution of the bulk crystals using TOF-SIMS. Another key finding from this work is that the TOF-SIMS ion maps provided new evidence which reveals that the structurally similar impurities occupy either different sites or the same sites on the surface of all the crystal facets. The latter can be attributed to the replacement of the crystal lattice by both impurities. This information is useful from the crystal growth viewpoint. The effect of impurities on the crystal growth process is often discussed based on the impurity pinning mechanisms. At least for the studied systems, it is more likely that the crystal growth may still proceed even after the attachment of structurally similar impurities on the kink sites, as here the impurities merely replace the curcumin molecule instead of pinning the growth steps (this should be tested through separate crystal growth kinetic experiments, which is beyond the scope of this work). The results obtained from TOF-SIMS can even be used to gain understanding on the nucleation mechanism. For instance, Heffernan et al.1 studied the nucleation kinetics of the curcumin in the presence of structurally similar impurities, DMC and BDMC, and they found that these impurities decrease the nucleation rate. They also theoretically showed that the decrease in the nucleation rate in the presence of these impurities was associated with a noticeable decrease in the pre-exponential factor and a negligible change in the surface energy. In this work TOF-SIMS ion images clearly suggest that impurities are incorporated into crystals possibly via lattice replacement as the curcuminoids seem to occupy the same spot at multiple locations on the crystal surface. As crystallisation is an inherently multi-scale process, it is reasonable to assume that the bulk properties of the crystal reflect the properties of solid structures formed via nucleation and even the pre-nucleation clusters. Based on the findings obtained from TOF-SIMS, it is possible to theoretically propose that the incorporation of structurally-similar impurities via lattice replacement may not alter the surface energy (thermodynamic factor associated with crystallisation), but can alter the (kinetic) pre-exponential factor. Similarly, TOF-SIMS ion images can be used to elucidate the impurity inclusion mechanisms during the crystal growth process. For instance, the ion images of curcuminoids on the surface of crystals obtained from crystal growth (see section 3.4.) experiments suggest the same that all the three curcuminoids can take the same spot. This indicates that the inclusion of the two impurities into the bulk crystals could have occurred via lattice replacement. To conclude, TOF-SIMS can be used to explain the nucleation and crystal growth behaviour from an experimental stand-point.
Finally, it is worth acknowledging the limitations of the TOF-SIMS technique. The results obtained from TOF-SIMS are only semi-quantitative and careful preparation of the sample is required, followed by careful post processing of the collected data. In the present study, we created a chemical map of the curcuminoids based on the ion images of the intact molecules. In many cases, retrospective analysis of the collected data may require advanced chemometric tools and user expertise. Another major issue is the sample preparation and the results are vulnerable to surface contamination in the form of compounds adsorbed/deposited onto the sample surface from the environment. In the present study, we characterised the surface properties of the crystallised samples obtained from cooling crystallisation and crystal growth experiments. Many of the trial experiments performed with TOF-SIMS clearly indicate that the surface properties of the bulk crystals are highly vulnerable to the impurities deposited on the crystal surface from the mother liquor. To avoid this, we cleaned the final crystals obtained from the crystallisation experiments and we dried the washed crystals in a completely cleaned dryer. Additionally, we also dried one sample at a time to avoid cross contamination of the samples. In that spirit, the sample preparation time associated with TOF-SIMS is laborious but on the other hand, it provides vital information about the location of the structurally similar impurities based on the ion images of the intact molecules, which cannot be easily obtained from other analytical techniques.
Footnotes |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ce01645h |
‡ Equal contribution. |
§ Present address: AstraZeneca, Charter Way, Macclesfield SK10 2NA, United Kingdom. |
¶ Present address: MSD Ballydine, Kilsheelan, Clonmel, Co Tipperary, Ireland. |
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