Literature DB >> 27280168

Expedited Selection of NMR Chiral Solvating Agents for Determination of Enantiopurity.

Lu Yang1, Thomas Wenzel2, R Thomas Williamson1, Melodie Christensen1, Wes Schafer1, Christopher J Welch1.   

Abstract

The use of NMR chiral solvating agents (CSAs) for the analysis of enantiopurity has been known for decades, but has been supplanted in recent years by chromatographic enantioseparation technology. While chromatographic methods for the analysis of enantiopurity are now commonplace and easy to implement, there are still individual compounds and entire classes of analytes where enantioseparation can prove extremely difficult, notably, compounds that are chiral by virtue of very subtle differences such as isotopic substitution or small differences in alkyl chain length. NMR analysis using CSAs can often be useful for such problems, but the traditional approach to selection of an appropriate CSA and the development of an NMR-based analysis method often involves a trial-and-error approach that can be relatively slow and tedious. In this study we describe a high-throughput experimentation approach to the selection of NMR CSAs that employs automation-enabled screening of prepared libraries of CSAs in a systematic fashion. This approach affords excellent results for a standard set of enantioenriched compounds, providing a valuable comparative data set for the effectiveness of CSAs for different classes of compounds. In addition, the technique has been successfully applied to challenging pharmaceutical development problems that are not amenable to chromatographic solutions. Overall, this methodology provides a rapid and powerful approach for investigating enantiopurity that compliments and augments conventional chromatographic approaches.

Entities:  

Year:  2016        PMID: 27280168      PMCID: PMC4882744          DOI: 10.1021/acscentsci.6b00062

Source DB:  PubMed          Journal:  ACS Cent Sci        ISSN: 2374-7943            Impact factor:   14.553


Introduction

The NMR analysis of enantiopurity using chiral solvating agents (CSAs) has a nearly 50 year history of utility.[1−3] However, the emergence of fast and convenient chromatographic methods of enantiopurity determination has diminished the use of NMR approaches with CSAs. Despite the convenience of modern chromatographic methods for the separation of enantiomers, the technique is by no means universal. Chromatographic enantioseparation relies on the differential adsorption of the two enantiomers of the compound of interest by an enantiopure adsorbent—a sometimes difficult task for compounds that are chiral by virtue of very subtle differences such as isotopic substitution or variations in alkyl chain length.[4] In contrast, while differentiation in the NMR spectrum may occur because of differential binding of the two enantiomers to the CSA, this is not mandatory. Enantiomeric differentiation in the NMR spectrum often depends on different geometries for the two diastereomeric complexes formed between the enantiomers of the analyte of interest and the enantiopure CSA. Specifically, isoenergetic diastereomeric adsorbates cannot lead to separation in chromatography, but can lead to distinct NMR signals. Consequently, NMR analysis using CSAs can often complement enantioselective chromatography, performing well for those compounds that are the most difficult to resolve chromatographically. Despite these advantages, the use of NMR CSAs is limited by several factors including the lack of predictive rules or simple to use method development strategies that ensure rapid success in the selection of a CSA and development of an NMR based approach for analysis of enantiopurity. Factors influencing the selection of the best CSA for a given analyte are also poorly understood. Unlike most reports of new chromatographic phases, almost all reports of new NMR CSAs examine a rather limited group of analytes. A more significant problem is that these reports seldom provide any comparison with known CSAs, presumably stemming from the challenge of preparing and analyzing large numbers of samples. The lack of data comparing the effectiveness of different CSAs makes choice of the optimal CSA for a given analyte a challenging task. To our knowledge, this report represents the first time where direct comparison of a wide range of CSAs (32 total) on analytes from a variety of functional group classes has been undertaken. A historical lack of automation in many NMR laboratories has, until recently, made CSA identification and method development a one at a time ad hoc undertaking that is still reminiscent of the early days of enantioselective chromatography. Given the inherent power of the CSA approach, the extensive body of literature accumulated over the past half century,[2,3] and the orthogonality to conventional enantioselective chromatographic methods, we have endeavored to create an automated high-throughput experimental approach to the rapid selection and optimization of NMR-based approaches to the analysis of enantiopurity using CSAs.

Results and Discussion

Selection of CSA Library and Analytes

We conducted the initial exploratory study in chloroform-d, although the method is easily extended to other NMR solvents. Commercial availability of CSAs known to have broad applicability was an important criterion used in selecting our test library of 32 CSAs (Figure ). Additionally, we shaped our library to contain mostly CSAs that were commercially available (C1–C18, C20, C23–C27, C29–C31). Unfortunately, many of the large number of reported NMR CSAs are not commercially available at this time, presumably because it remains unknown, at least in part, whether these reagents exhibit improved performance and broader applicability than those that can already be purchased from a commercial vendor. Many of these literature-reported CSAs also require multistep syntheses, constituting an additional deterrent to their use. We did include several CSAs in the test library that are not commercially available, most of which have been developed in our laboratories (C19, C21, C22, C28). A rhodium reagent (C32) possessing effectiveness for use with soft Lewis base analytes was also studied. All of the noncommercial CSAs included in the library are readily prepared from commercially available reagents, most in a single step. Clearly, additional CSAs could be added to future iterations of the library.
Figure 1

CSA library exploited in NMR high-throughput screening. CSAs with both enantiomeric and multiple diastereomeric forms that have been screened are labeled with *.

CSA library exploited in NMR high-throughput screening. CSAs with both enantiomeric and multiple diastereomeric forms that have been screened are labeled with *. For the initial study, a group of analytes were selected that span the range of functionalities and structural variability commonly found in drug candidates (A1–A16, Figure ). Analytes available in enantiopure form were chosen so that solutions could be enriched in one of the enantiomers, thereby aiding understanding of how each enantiomer undergoes chemical shift perturbation upon complexation with a given CSA. In addition, both enantiomers of each CSA were used when available, facilitating the determination of whether or not enantiomeric differentiation is observed in the NMR spectrum.
Figure 2

Analytes used in CSA NMR high-throughput screening.

Analytes used in CSA NMR high-throughput screening.

Preparation and Use of CSA Screening Kits

A streamlined approach for rapid selection of the optimal CSA for analysis of enantiopurity is analogous to platform screening approaches previously developed in these laboratories for chromatographic separation, or choices of crystallization or catalysis conditions.[5] (Figure ) Using automated liquid handling, an aliquot of a stock solution of each CSA in acetonitrile was dispensed into a glass vial insert of a 96-well tray. Evaporation of solvent afforded CSA kits containing predosed amounts of the 32 different CSAs, which were sealed under plastic cap mats and stored in a refrigerator under nitrogen until needed. When performing an NMR screening, 80 μL of a 10 mM stock solution of the analyte in chloroform-d was dispensed into each of the 32 inserts in the CSA screening kit. The plate is slowly shaken to dissolve the CSAs, and then 35 μL of each solution is transferred, using an automated liquid handler, to a 1.7 mm NMR tube in a tube rack having the footprint of a 96-well tray. The rack of 1.7 mm NMR tubes is then placed into an automatic sample changer, and the NMR spectrum for each tube is collected using automated acquisition and data processing protocols.
Figure 3

Overview of the preparation and use of CSA screening kits.

Overview of the preparation and use of CSA screening kits. An important question with such a screening protocol involves the concentration of CSA and analyte. Since NMR enantiodifferentiation with CSAs can occur because of either differential association or the diastereomeric nature of the complexes, the optimal ratio of CSA to analyte depends on which mechanism of intermolecular association predominates. If the diastereomeric nature of the complexes is important, using excess CSA relative to analyte is often warranted. Based on previous experience, we opted to use a CSA concentration of 20 mM and analyte concentration of 10 mM for initial screening. These concentrations are common[6−8]in NMR studies of other CSAs and facilitate sufficient complexation to promote formation of the diastereomeric complexes. Assuming that at least one CSA produces enantiomeric differentiation in the NMR spectrum of the analyte, the conditions for using the best combination can then be optimized in subsequent studies.

Effectiveness of CSAs

A summary of the results obtained for all the CSA–analyte combinations is provided in Table . Gray cells in Table indicate that the CSA caused no enantiodifferentiation for any resonances of the analyte, yellow indicates partial enantiodifferentiation of one or more resonance, and green indicates complete enantiodifferentiation for one or more resonances.
Table 1

Summary of CSA High-Throughput Screening Resultsa

32 CSAs are screened by NMR spectroscopy on 16 enantiomerically enriched analytes. Green, yellow, and gray cells respectively indicate full, partial, and no enantiodifferentiation. The score is based on whether complete (2 points) or partial (1 point) enantiodifferentation is observed for each analyte.

32 CSAs are screened by NMR spectroscopy on 16 enantiomerically enriched analytes. Green, yellow, and gray cells respectively indicate full, partial, and no enantiodifferentiation. The score is based on whether complete (2 points) or partial (1 point) enantiodifferentation is observed for each analyte. As evidenced by the large number of gray cells in Table , most CSA–analyte combinations resulted in no enantiodifferentiation in the NMR spectrum. Only a very few combinations (green cells) resulted in complete enantiodifferentiation of one or more resonances. Nevertheless, every analyte in the study did show partial or complete enantiodifferentiation of at least one resonance with one or more CSAs in the library, including the challenging analytes A8 and A11, which are chiral by virtue of isotopic substitution. In no case would it have been possible to predict a priori which CSA would perform best for which analyte, but broad screening of CSAs facilitates the rapid identification of a suitable lead, from which optimization of CSA–analyte ratio, solvent, temperature, and NMR conditions can proceed. The data in Table also provided a rare opportunity to compare the general effectiveness of a wide range of NMR CSAs. Included in Table is a weighted score based on the number of analytes where a particular CSA causes complete (2 points) or partial (1 point) enantiodifferentation in the NMR spectrum. Whelk-O (C28), Rh2(MTPA)4 (C32), quinine (C13), the 1-(1-naphthyl)ethyl urea derivatives of tert-leucine (C21) and valine (C22), and dibenzoyltartaric acid (C24) were the most broadly applicable CSAs in the study group. The Whelk-O reagent is an analogue of a broadly applicable chiral discriminator from liquid chromatographic studies[9,10] and has received some limited attention as an NMR CSA.[11−14] The rhodium reagent, which might generally be thought of as applicable to soft Lewis bases,[15] but which has also been shown to be effective for some hard Lewis bases,[16] was observed to be effective for a number of analytes in our study with hard Lewis base functionalities. Quinine[2,3,17] and the naphthyl urea derivatives of valine and tert-leucine[18] have been the focus of only limited studies, but our results indicate that they are applicable to a broad range of analytes. Dibenzoyltartaric acid has not been widely studied[19,20] and, while it only results in partial enantiodifferentiation in most cases, was shown to be effective for a broad range of analytes. 1-(1-Naphthyl)ethylamine (C11)[2,21,22] also performed very well, which, to a large degree, was the result of its applicability for carboxylic acids. Our study suggests that commercial availability of CSAs such as Whelk-O, Rh2(MTPA)4, and naphthylurea derivatives of valine and tert-leucine may be warranted. Figure shows an example of the complete enantiodifferentiation of the methyl doublet of 2-amino-3,3-dimethylbutane (A5) with 1,1′-binaphthyl-2,2′-diyl hydrogen phosphate (C25). The mixture is enriched in the (R)-enantiomer of A5, and the reversal in the order of the two doublets of the two enantiomers of A5 with (R)- and (S)-C25 is apparent.
Figure 4

1H NMR (500 MHz, CDCl3, 298 K) spectrum of the methyl resonance of (a) 2-amino-3,3-dimethylbutane (A5, R/S 3:2, 10 mM) with (b) 1,1′-binaphthyl-2,2′diyl hydrogen phosphate ((S)-C25, 20 mM) and (c) (R)-C25 (20 mM).

1H NMR (500 MHz, CDCl3, 298 K) spectrum of the methyl resonance of (a) 2-amino-3,3-dimethylbutane (A5, R/S 3:2, 10 mM) with (b) 1,1′-binaphthyl-2,2′diyl hydrogen phosphate ((S)-C25, 20 mM) and (c) (R)-C25 (20 mM). The spectra shown in Figure illustrate the complete enantiomeric differentiation of the H5 and H7 aryl resonances of an (S)-enriched mixture of naproxen (A3) with quinine (C13). Either the H5 or H7 resonances in this mixture are suitable for determining enantiopurity. Having more than one enantiodifferentiated resonance improves the chances that a usable resonance will be in a region of the spectrum free of overlap with other analyte or CSA resonances.
Figure 5

1H NMR (500 MHz, CDCl3, 298 K) spectrum of a portion of the aryl region of (a) naproxen (A3, R/S 4:7, 10 mM) with (b) quinine (9R-C13, 20 mM).

1H NMR (500 MHz, CDCl3, 298 K) spectrum of a portion of the aryl region of (a) naproxen (A3, R/S 4:7, 10 mM) with (b) quinine (9R-C13, 20 mM). Figure shows the aryl region of an (S)-enriched mixture of omeprazole (A16) with quinine (C13). H13 appears as a singlet at about 8.23 ppm and H7 as a doublet at about 6.90 ppm. Both H13 and H7 exhibit complete enantiomeric differentiation in the presence of C13 as seen in Figure b. H5 appears as a doublet of doublets at about 6.95 ppm and is only partially differentiated in the presence of C13. In many cases, partial enantiomeric differentiation with CSAs is still sufficient to estimate enantiopurity, although this is not the case for the H5 resonance in Figure b. Alternatively, it is possible to use a pure shift NMR pulse sequence in which the overlapped multiplets are collapsed into singlets leading to significantly improved resolution in the NMR spectrum.[23−25]Figure c shows the corresponding pure shift spectrum for the mixture of A16 with C13. Pure shift spectra were obtained for the entire CSA library under automated conditions, so no attempt was made to optimize the signal-to-noise ratio for the rapid screening study. Two enantiodifferentiated singlets are seen in the pure shift spectrum for both H7 and H13. Of particular note are the two singlets seen for the H5 resonance, clearly showing that this resonance is also enantiodifferentiated. Based on these initial results, subsequent studies could be performed to optimize the signal-to-noise of the pure shift spectrum for a more accurate determination of enantiopurity.
Figure 6

1H NMR (500 MHz, CDCl3, 298 K) spectrum of the aryl region of (a) omeprazole (A16, R/S 3:7, 10 mM) with (b) quinine (9R-C13, 20 mM). Spectrum c has the same concentrations as spectrum b but is obtained in a pure shift mode.

1H NMR (500 MHz, CDCl3, 298 K) spectrum of the aryl region of (a) omeprazole (A16, R/S 3:7, 10 mM) with (b) quinine (9R-C13, 20 mM). Spectrum c has the same concentrations as spectrum b but is obtained in a pure shift mode. Two other CSAs deserve mention for specialized applications. 1,1′-Binaphthyl-2,2′-diyl hydrogen phosphate (C25)[2,26] is noteworthy for its enantiodifferentiation of amines, and the europium(III) tris-β-diketonate of (3-heptafluorobutyryl)-camphorate (C30, Eu(hfc)3)[2,27] is effective for some analytes where very few of the other CSAs afforded any enantiodifferentiation. Chiral lanthanide reagents were commonly used when investigators only had access to NMR spectrometers of lower field strength (200 MHz or less).[28] On higher field instruments, line broadening with these CSAs is often a problem and the spectra that we obtained with C30 were often broadened to such a degree as to render the spectra useless. However, in certain instances, there was obvious enantiodifferentiation of a magnitude (e.g., 0.25 and 0.22 ppm for the diastereotopic H4 methylene atoms of 2-amino-4-phenylbutane) far greater than that observed with other reagents. The use of the (+)- and (−)-Eu(hfc)3 with an analyte enriched in one enantiomer is especially useful in determining whether the highly shifted resonances exhibit enantiodifferentiation. Decreasing the concentration of the europium CSAs from 20 mM to 5 mM or even lower would likely be warranted in future studies. Interestingly, the widely used CSA, 2,2,2-trifluoro-1-(9-anthryl)ethanol (C7), commonly known as Pirkle’s alcohol, did not perform well in this study. While care should be taken in generalizing based on a small analyte sample set, this result does help to emphasize the value of screening a diverse set of CSAs. The 3,5-dinitrobenzoyl (DNB) derivatives of phenylglycine (C17), 1-phenylethylamine (C18), and l-leucine (C19) did cause enantiodifferentiation in the NMR spectra of some analytes, but were not as broadly applicable as the Whelk-O CSAs (C28). Similar results are observed in liquid chromatographic studies in which the Whelk-O chiral stationary phase shows enhanced effectiveness relative to the DNB-amino acid phases.[29] Analysis of the screening outcomes can be used to remove certain CSAs from the library because either they are ineffective or their effectiveness is duplicated by other CSAs. However, it is important to recall that some of the CSAs work well for certain types of compounds (e.g., TRISPHAT (C26) for cationic metal complexes[30]) that are not well represented within the set of analytes chosen for this study. Further research will be required to develop a complete understanding, but at this juncture it would seem that CSAs C1–C4, C6, C10, C12, C14–C16, C19, C20, C23, C26, C27, and C31 could be removed from the library without substantial decrease in overall performance. Another outcome of analyzing so many CSAs is that it allowed us to determine whether or not particular functionalities were amenable for study by many or only a few CSAs. Carboxylic acid containing analytes had by far the most CSAs that produced some degree of enantiomeric differentiation in the NMR spectrum, suggesting that the development of additional CSAs for carboxylic acids should be a fairly low priority. A number of CSAs afforded enantiomeric differentiation of the amines, with 1,1′-binaphthyl-2,2′-diyl hydrogen phosphate (C25) being most noteworthy. Consequently, in future reports of new CSAs for amines, the degree of enantiodifferentiation should be compared with C25. Similarly, several CSAs afforded enantiodifferentiation of sulfoxides, particularly the Whelk-O reagent (C28). The alcohols in our study were the least effectively differentiated, suggesting a potential focus for new CSA development. For three of the alcohols, only one or two CSAs (A10 with C32; A12 with C24; and A13 with C28 and C30) afford enantiodifferentiation in the NMR spectrum. Terpinen-4-ol (A10) is a highly hindered tertiary alcohol, and it may be that Rh2(MTPA)4 (C32) is effective because of association with the olefin instead of the hydroxyl group.[31] The one diol in our test group was enantiodifferentiated by a number of CSAs. Many CSAs contain aryl rings, which can afford significant shielding and upfield shifts of the resonances of analyte hydrogen atoms that are positioned over the ring, thereby leading to enantiodifferentiation in the NMR spectrum when this shielding is selective for one of the complexed enantiomers. For example, the shielding of the H5 and H7 resonances of naproxen with quinine is apparent in Figure b. This shielding is often ascribed to a face-centered pi–pi stacking of the aryl rings of the analyte and CSA, but recent studies have shown that edge-to-face interactions are also important, particularly when the interaction of two electron-rich rings is involved.[32−34] All of the aryl rings in our analytes are electron rich; however, of the CSAs containing electron-deficient dinitrobenzoyl aromatic rings (C17, C18, C19, and C28), only C28 showed a general ability to afford enantiodifferentiation for a large number of analytes. It should be noted that C28 possesses an electron rich naphthyl ring in addition to the electron deficient dinitrobenzyl ring. For the combinations in Table that led to enantiodifferentiation, the degree of shielding of aryl resonances of the analytes varied with different CSAs. A few of the analytes (A14–A16) have more than one functional group capable of interacting with CSAs, and in each case a number of the CSAs caused enantiodifferentiation in the NMR spectrum. This is not surprising since different CSAs can be expected to associate at different types of functionalities. Many compounds of pharmaceutical interest contain fluorine atoms, allowing for the possibility of enantiodifferentiation in the 19F NMR spectrum. The observation of the 19F NMR nonequivalence in diastereomeric complexes with CSAs was one of the first examples of NMR nonequivalence reported.[1]19F NMR spectra were recorded for A2 with the CSA library. Even though the fluorine atom in A2 is relatively remote from the stereocenter, C32 caused complete enantiodifferentiation and C28 caused partial enantiodifferentiation of the fluorine singlet (Figure ). Note that the spectrum shown in Figure b has two sets of enantiodifferentiated fluorine signals, each set of which has two peaks with areas equal to the proportions of R- and S-enantiomers in the mixture. It is known that analytes can form 1:1 or 2:1 complexes with C32(15) and the two sets of signals presumably result from the presence of both complexes in solution under conditions of slow exchange. The unexpectedly complicated nature of the CF3 resonance of the MTPA group in the rhodium complex provides further evidence for the formation of the 1:1 and 2:1 complexes. In no cases was there any evidence for the formation of multiple complexes in the 1H NMR spectral results with C32 reported in Table . The high degree of spectral dispersion, the observation that the 19F NMR spectrum for many compounds consists of a singlet, and the lack of obscuring signals from the CSA are significant advantages that suggest great potential for this approach for fluorine-containing molecules.
Figure 7

19F NMR (471 MHz, CDCl3, 298 K) spectrum of flurbiprofen (A2, R/S 7:3, 10 mM) with (a) (S,S)-Whelk-O (C28, 20 mM) and (b) Rh2(MTPA)4 (C32, 20 mM).

19F NMR (471 MHz, CDCl3, 298 K) spectrum of flurbiprofen (A2, R/S 7:3, 10 mM) with (a) (S,S)-Whelk-O (C28, 20 mM) and (b) Rh2(MTPA)4 (C32, 20 mM). The high-throughput CSA screening kit approach has proven useful for the rapid development of NMR methods for quantifying the enantiopurity of enantiomeric mixtures that are not amenable to chromatographic enantioseparation methods. Attempts to resolve the enantiomers of amino-lipid A17(35) with standard methods for chromatographic enantioseparation proved completely ineffective, perhaps not surprising given that the asymmetry of the molecule only becomes apparent at a distance eight bonds from the stereocenter. CSA library screening revealed hits for several possible CSAs, with 1,1′-binaphthyl-2,2′-diyl hydrogen phosphate (C25) showing the best results. Figure a shows the N-methyl singlet, olefinic multiplets, and allylic methylenes at about 2.20, 5.35, and 2.05 ppm, respectively. In Figure b, the N-methyl resonance splits into two distinct doublets at a 1:1 ratio in the presence of C25, which suggests that the amino-lipid is a racemic mixture. The olefinic (H-16) and allylic protons (H-21) also exhibit partial enantiodifferentiation that is clearly observed in the pure shift spectrum by the 1:1 singlets at 5.38 and 2.04 ppm, respectively (Figure d). A question that arises from the interpretation of Figure d is whether the chemical shift nonequivalence of the two N-methyl singlets results from slow chemical exchange caused by N-protonation when A17 binds with C25, thereby rendering the two methyl groups diastereotopic. In other words, are two singlets observed in Figure d because of diastereotopic resolution or because the two N-methyl groups have the same chemical shift and are enantiodifferentiated? The 1H1H COSY correlations between the exchangeable proton at 11.75 ppm, the N-methyl doublets at 2.65 and 2.69 ppm, and the adjacent methylene resonances provide evidence for the protonation of A17 nitrogen by C25, which is corroborated by the 4.2 Hz J-coupling between the N-methyl and the downfield proton. However, the strong NOE between the N-methyl groups and the flanking methylene groups and the absence of observable NOE between the N-methyl groups (Figure ) indicates that the two singlets for the N-methyl groups in Figure d are the result of enantiodifferentiation rather than diastereotopic resolution. The NOE between the N-methyl and C25 resonances at 7.55 and 7.89 ppm further suggests that the CSA associates with the racemic amino-lipid via hydrogen bonding.
Figure 8

Application of high-throughput screening of CSAs for NMR enantiodifferentiation of a chiral lipid that is resistant to chromatographic resolution. 1H NMR (500 MHz, CDCl3, 298 K) spectrum of (a) amino-lipid A17 (10 mM) with (b) 1,1′-binaphthyl-2,2′diyl hydrogen phosphate ((S)-C25, 20 mM). Spectra c and d have the same concentrations as spectra a and b but are obtained in a pure shift mode.

Figure 9

2D 500 MHz ROESY spectrum expansion of amino-lipid A17 with 1,1′-binaphthyl-2,2′diyl hydrogen phosphate (S)-C25.

Application of high-throughput screening of CSAs for NMR enantiodifferentiation of a chiral lipid that is resistant to chromatographic resolution. 1H NMR (500 MHz, CDCl3, 298 K) spectrum of (a) amino-lipid A17 (10 mM) with (b) 1,1′-binaphthyl-2,2′diyl hydrogen phosphate ((S)-C25, 20 mM). Spectra c and d have the same concentrations as spectra a and b but are obtained in a pure shift mode. 2D 500 MHz ROESY spectrum expansion of amino-lipid A17 with 1,1′-binaphthyl-2,2′diyl hydrogen phosphate (S)-C25. These results clearly show the value of the CSA screening approach to provide a powerful, orthogonal method to conventional chiral chromatography for rapid method development and enantiopurity analysis. Elimination of nonproductive CSAs from the library and addition of new CSAs can be expected to lead to further improvements in performance, speed and generality. While this study has focused on NMR automation using a robotic tube-changing autosampler, alternative approaches using flow chemistry with a flow-through NMR probe could be conceived, potentially offering further speed advantages.

Experimental Section

Preparation of CSA Kits

Volumetric dispensing and aspiration of CSA mixtures was carried out on a Chemspeed SWING XL robot equipped with a 4-needle head dispenser and tumble stirrer, under positive nitrogen flow. CSA mixtures were prepared at 32 mM concentration in MeCN-d3 or varying mixtures MeCN-d3/CDCl3. The solvent choice for each CSA was driven by the ability to form a uniform solution or slurry, with the goal of achieving uniform dispensing. The resulting mixtures were dispensed to a 96-well polypropylene tray with 4 × 21 mm (200 μL) glass vial inserts (Analytical-Sales Cat. No. 96342) at 50 μL volume. The solvents were evaporated to leave behind 1.6 μmol of CSA in each well, and the kits were bagged under nitrogen to minimize exposure to moisture upon storage.

Preparation of NMR Samples

Judiciously chosen analytes were precisely weighed as mixtures of enantiomers at a concentration of 10 mM. These were typically prepared as enantiomeric mixtures enriched in one enantiomer (i.e., 7 mM/3 mM) and prepared as stock solutions in CDCl3. 80 μL of the substrate solution (0.8 μmol) was manually transferred with a multichannel pipet to an insert containing 1.6 μmol of preloaded CSA on a 96-well reaction plate. The resulting mixture of CSA and substrate in CDCl3 was sealed with a top cover and well mixed on a shaker for 0.5 h. Transfer of 35 μL of CSA/substrate complex from the insets to each 1.7 mm NMR tube (96-tube rack) was facilitated by a PrepGilsonST liquid handler. Subsequently, the 96-tube rack was loaded onto a SampleJet NMR sample changer on a 500 MHz NMR spectrometer equipped with 1.7 mm MicroCryoProbe. All NMR experiments were acquired in automation using IconNMR software.

Conclusions

In this study we have demonstrated the value of a high-throughput experimentation approach to the selection of enantioselective NMR CSAs that employs automation-enabled screening of prepared libraries of CSAs in a systematic fashion. This approach is helpful in providing a comparative data set for the effectiveness of CSAs for different classes of compounds. Good results were obtained for a standard set of enantioenriched compounds, with the technique proving especially valuable for rapid development of analytical methods for studying the enantiomers of compounds that proved challenging or impossible to resolve using conventional chromatographic enantioseparation approaches.
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Journal:  Chem Commun (Camb)       Date:  2017-11-28       Impact factor: 6.222

2.  A 1-phytase type III effector interferes with plant hormone signaling.

Authors:  Doreen Blüher; Debabrata Laha; Sabine Thieme; Alexandre Hofer; Lennart Eschen-Lippold; Antonia Masch; Gerd Balcke; Igor Pavlovic; Oliver Nagel; Antje Schonsky; Rahel Hinkelmann; Jakob Wörner; Nargis Parvin; Ralf Greiner; Stefan Weber; Alain Tissier; Mike Schutkowski; Justin Lee; Henning Jessen; Gabriel Schaaf; Ulla Bonas
Journal:  Nat Commun       Date:  2017-12-18       Impact factor: 14.919

3.  Molecular Recognition of the HPLC Whelk-O1 Selector towards the Conformational Enantiomers of Nevirapine and Oxcarbazepine.

Authors:  Roberta Franzini; Marco Pierini; Andrea Mazzanti; Antonia Iazzetti; Alessia Ciogli; Claudio Villani
Journal:  Int J Mol Sci       Date:  2020-12-25       Impact factor: 5.923

4.  R-VAPOL-phosphoric acid based 1H and 13C-NMR for sensing of chiral amines and acids.

Authors:  Durga Prasad; Santosh Mogurampelly; Sachin R Chaudhari
Journal:  RSC Adv       Date:  2020-01-13       Impact factor: 4.036

5.  Atropisomeric Racemization Kinetics of MRTX1719 Using Chiral Solvating Agent-Assisted 19F NMR Spectroscopy.

Authors:  Svitlana Kulyk; Susan M De Paul; Matthew A Marx; Torren M Peakman; Christopher R Smith
Journal:  ACS Omega       Date:  2022-08-31

6.  Discrimination of enantiomers of amides with two stereogenic centers enabled by chiral bisthiourea derivatives using 1H NMR spectroscopy.

Authors:  Hanchang Zhang; Hongmei Zhao; Jie Wen; Zhanbin Zhang; Pericles Stavropoulos; Yanlin Li; Lin Ai; Jiaxin Zhang
Journal:  Org Biomol Chem       Date:  2021-08-05       Impact factor: 3.890

7.  The robust, readily available cobalt(iii) trication [Co(NH2CHPhCHPhNH2)3]3+ is a progenitor of broadly applicable chirality and prochirality sensing agents.

Authors:  Quang H Luu; Kyle G Lewis; Anik Banerjee; Nattamai Bhuvanesh; John A Gladysz
Journal:  Chem Sci       Date:  2018-05-11       Impact factor: 9.825

8.  Discrimination of supramolecular chirality using a protein nanopore.

Authors:  James A Cooper; Stefan Borsley; Paul J Lusby; Scott L Cockroft
Journal:  Chem Sci       Date:  2017-05-11       Impact factor: 9.825

  8 in total

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