Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

A high-performance chiral 19F-labeled probe with an increased structural twisting

Chenyang Wang ab, Guangxing Gu b, Wei Zhang b, Jian Wu c and Yanchuan Zhao *abc
aThe Education Ministry Key Lab of Resource Chemistry and Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Normal University, Shanghai 200234, China
bKey Laboratory of Fluorine and Nitrogen Chemistry and Advanced Materials, Shanghai Institute of Organic Chemistry, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 345 Ling-Ling Road, Shanghai 200032, China. E-mail: zhaoyanchuan@sioc.ac.cn
cInstrumental Analysis Center, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China

Received 22nd March 2024 , Accepted 13th April 2024

First published on 15th April 2024


Abstract

We developed a new strategy to enhance the chiral discrimination capability of 19F-labeled probes by tuning the torsion angle of the probe's backbone, allowing for the resolution of challenging analytes. Its versatility is demonstrated through the superior performance and the wide analyte scope.


Analytical techniques are crucial in various domains, providing precise data that forms the foundation for critical decisions in medical diagnosis, food quality assurance, and the detection of illegal substance use.1 The growing demand for rapid and accurate detection methods continues to drive scientific research and technological advancements.2 Among these, chiral discrimination has emerged as a key area of intense investigation.3 The chirality of molecules significantly influences their biological and pharmaceutical properties, which is widely acknowledged in scientific communities.4 Moreover, chirality plays a pivotal role in optical and self-assembling behaviours, contributing to the efficacy of advanced functional materials.5 These distinctive properties and their broad applications underscore the significance of chirality and its related research. Nonetheless, the progression of chiral science is still limited by the lack of fast and precise analytical methods for analysing complex mixtures. Currently, the analysis of chiral compounds primarily relies on chromatographic techniques.6 Despite their broad applicability, these methods often require pre-purification of the analytes, selection of a suitable stationary phase, and careful screening of the eluting conditions. Analytes with low UV absorption often necessitate proper derivatization and the use of chiral gas chromatography (GC) methods, which can be time-consuming. These limitations hinder the application of chromatography for high-throughput analysis, an increasingly important aspect due to the widespread adoption of automation techniques.

Nuclear magnetic resonance (NMR) presents an alternative approach for enantioanalysis.7 This is typically achieved through the formation of diastereoisomeric species, which exhibit distinct spectroscopic signatures. Recently, there has been increasing interest in the unique capabilities of 19F NMR for use in enantioanalysis.8 The rarity of organofluorine compounds in nature, combined with the 100% natural abundance of the 19F nucleus, makes 19F NMR a preferred choice for analytical techniques due to its low background interference and high sensitivity. Furthermore, the high sensitivity of 19F NMR chemical shifts to changes in the local environment makes it suitable for discriminating spectroscopic differences caused by stereoconfiguration. Various 19F-labeled chiral derivatizing agents have been developed, facilitating the chiral discrimination of a wide range of analytes containing amino or hydroxy groups.9 As an alternative to covalent derivatization, 19F-labeled probes capable of reversibly binding to the analyte have been explored. When the chemical exchange rate is slow on the NMR timescale, distinct 19F NMR signals corresponding to each enantiomer are produced.10 This approach combines the benefits of operational simplicity and ease of spectrum interpretation, which is often referred to as recognition-enabled chromatographic 19F NMR.11 Although this method has been applied to the detection of various chiral substances, demonstrating a broader scope than derivatization-based methods, few investigations have focused on strategies to tune the resolving ability of the 19F-labeled probe. Previously, we demonstrated that altering the metal center and constructing Lewis acid–base pairs can enhance the performance of chiral discrimination systems.12 In this report, we present that adjusting the torsion angle is an effective strategy to improve the resolving ability. Compared to the CF3-labeled cyclopalladium probes developed earlier,13 the new probe is characterized by a larger torsion angle, due to steric repulsion between the fluorine atom and the bound analyte (Scheme 1). This significant twisting of the probe's backbone leads to superior resolving ability in the chiral discrimination of amines, amino acid esters, nitriles, and N-heterocycles.


image file: d4cc01313a-s1.tif
Scheme 1 DFT calculation of probe-2 and probe-1.

Recently, we developed 19F-labeled cyclopalladium complexes for the enantiodifferentiation of N-heterocycles and nitriles. These complexes have shown that a methyl-substituted chiral center can cause the probe's backbone to twist, indicating a transfer from point chirality to helical-like chirality.13 We hypothesize that this asymmetric backbone is critical for enantioresolution, as evidenced by the distinct 19F NMR chemical shift differences corresponding to the enantiomers. If this hypothesis is correct, adjusting the twist of the probe's backbone could be an effective method for controlling the enantiodifferentiation performance of 19F-labeled probes. With this approach, we initiated our research by synthesizing a fluorinated quinoline-based ligand, replacing the previously used pyridine-containing ligand (Scheme 1(a)). This new design ensures that the fluorine atom's position in the probe is static, unlike the mobile 19F atom in the CF3 group. The stationary 19F atom is expected to experience increased steric repulsion with bound acetonitrile or analytes, resulting in a significant torsion angle (Scheme 1(b)). This alteration will move the probe's backbone away from a planar structure, potentially enhancing its chiral discrimination capability. To assess whether our design would result in the anticipated increased twisting of the probe's backbone, we conducted density functional theory (DFT) calculations on the optimized structures of both the previously reported probe-1 and the newly designed probe-2. Our computations revealed a significant change in the torsion angle due to the replacement of the pyridyl group with quinoline (Fig. S21 in ESI). Specifically, for probe-2, complexation with acetonitrile led to a substantial torsional angle of 19.09°, a notable increase compared to the 4.52° observed in probe-1 (Scheme 1). Building on these insights, we proceeded to synthesize the targeted 19F-labeled probe-2. The synthesis began with readily available 8-fluoroquinoline-2-carboxylic acid (3). Converting acid 3 into its acid chloride with SOCl2, we then reacted it with (R)-1-phenylethylamine to yield the desired ligand-4. A C–H palladation reaction was efficiently performed in acetonitrile at 80 °C, producing the designed probe-2 in a high yield (Fig. S1 in ESI). It is noteworthy that probe-2 was isolated with a bound acetonitrile molecule, which can be substituted by various analytes. This dynamic ligand exchange property is pivotal to our chiral discrimination strategy, allowing for immediate detection following the mixing of the probe with an analyte. Having successfully synthesized probe-2, we conducted a comparative study to evaluate the enantiodifferentiation performance of probe-1 and probe-2. Chiral discrimination experiments were conducted by combining 19F-labeled probes with various analytes in CDCl3, followed by the acquisition of the 19F NMR spectra. To evaluate the probe's chiral discrimination capability, we employed a parameter known as “Resolution (Rs)”.14 Our analysis revealed that probe-2 outperforms probe-1 in the chiral discrimination of various analytes, as indicated by higher Rs values, shown in Fig. 1. For example, probe-2 effectively differentiates chiral nitriles with distant chiral centers, in contrast to the inadequate enantiodifferentiation of A1 and A2 by probe-1. Moreover, probe-2 showed enhanced discrimination for nitrile compounds with quaternary chiral centers and axial chirality (Fig. 1(c) and (e)). Notably, improved resolution with probe-2 was also observed in the enantioanalysis of other nitriles, where well-separated 19F NMR signals were evident, unlike the crowded signals seen with probe-1 (Fig. 1(d), (f) and (g)). Besides nitrile compounds, probe-2 also demonstrated superior discrimination of amines with β-chirality centers (Fig. 1(h) and (i)). These observations suggest that probe-2 is more sensitive to stereoconfigurations distal from the palladium metal, a feature difficult for probe-1 to discern. Remarkably, aliphatic amines with substituents at the chirality center differing by just one methylene unit could be resolved by probe-2, a task known to be challenging for chiral HPLC. Consistent with our expectations, we observed a gradual decrease in the Rs values for analytes ranging from A10 to A13. This trend can be attributed to the increasing similarity in the size of the alkyl chains attached to the chiral carbon in these analytes. As the structural differences between the alkyl chains become less pronounced, the ability of the probe to differentiate between the enantiomers correspondingly diminishes, resulting in lower resolution values. For analytes already distinguishable by probe-1, a significant improvement in resolution was noted, with the Rs values increasing by factors of 3.2 to 9.9. This substantial enhancement in resolution augments the capability of this approach to analyze mixtures of structurally similar analytes in complex matrices (Fig. S2 in ESI). It is important to note that for some analytes, such as A19, comparable spectral separation was observed between probe-1 and probe-2. This could be attributed to the phenyl group in the analytes, where its shielding effect may significantly influence the overall spectral separation of the 19F signal. These findings suggest that the augmented torsion angle leads to a structure that is less planar and more three-dimensional, enhancing the probe's ability to interact with and distinguish between the chiral centers of analytes more effectively. In an effort to amplify this structural twisting, we explored synthesizing a trifluoromethyl-substituted version of probe-2. However, the attempted C–H palladation reaction was unsuccessful. This failure could be attributed to increased steric repulsion between the bound acetonitrile molecule and the CF3 group in the event that the palladium complex did indeed form. Such steric hindrance is likely a key factor impeding the reaction, rendering the formation of the complex energetically less favorable. In addition, we included an analysis comparing the performance of probe-2 with another probe, similarly labeled with a 19F atom but featuring a more planar backbone. The findings indicated that the probe with the planar backbone exhibited inferior performance relative to probe-2 (Fig. S20 in ESI). This suggests that the improved performance is not solely reliant on the replacement of the CF3 label by a 19F atom. To evaluate the effectiveness of probe-2 in measuring the enantiomeric excess (ee) values of the enantioenriched samples, we employed A7 as a model analyte. When analyzing the racemic mixture, we noted that the 19F NMR signal peak areas for both enantiomers were identical (Fig. S3 in ESI), indicating that probe-2 has an equal affinity for A7 enantiomers with different stereoconfigurations. This characteristic enables the calculation of the ee values by directly comparing the peak areas of the 19F NMR signals. Using this method, we observed a strong linear correlation between the calculated ee values and those determined by chiral HPLC analysis, validating the accuracy of our approach (Fig. S4 in ESI). It's important to mention that for analytes where enantiomers exhibit different binding strengths towards the 19F-labeled probe, a correction coefficient can be applied to account for the unequal binding affinity.11,12 Our previous studies have shown that incorporating this correction coefficient allows for accurate determination of the enantiocomposition. The results achieved with this adjusted method showed an average absolute deviation of less than 2% compared to HPLC analysis, underscoring the reliability of this approach in enantiomeric analysis.


image file: d4cc01313a-f1.tif
Fig. 1 (a)–(s) 19F NMR spectra of mixtures containing 19F-labeled probes and various analytes dissolved in deuterated chloroform (CDCl3). The spectra associated with probe-1 are presented in deep blue, while those corresponding to probe-2 are depicted in dark red. All 19F NMR measurements were conducted using a Bruker Avance Neo 600 MHz (565 MHz for the 19F nucleus) NMR spectrometer, with each spectrum obtained from 64 scans. For the dark red spectra related to probe-2, 1H-decoupled 19F NMR techniques were employed.

To demonstrate the capability of probe-2 for quickly determining the enantioselectivity of transition-metal catalyzed reactions during the screening conditions, we chose a copper-catalyzed decarboxylative cyanation of benzyl acids as a model reaction. In this reaction, a complex of Cu(acac)2 and bis(oxazoline)-type ligands acts as the catalyst, promoting enantioselectivity.15 Trimethylsilyl cyanide and hypervalent iodine compounds are utilized as the cyanide source and oxidant, respectively. Previous studies have indicated that the enantioselectivity of this reaction is affected by both the ligand structure and the solvent used. We employed our method to rapidly determine the enantiomeric excess (ee) values of the products from the reaction under two different sets of conditions. For analysis, approximately 0.5 mL of the reaction mixture was sampled. The reaction was quenched with water, followed by extraction using ethyl acetate. After evaporating the organic phase under vacuum, the crude product was directly mixed with probe-2 for 19F NMR analysis. As shown in Fig. S16 (ESI), our method yielded ee values of 83.8% and 80.8% for reactions conducted under conditions 1 and 2, respectively. These findings are in alignment with the values obtained through chiral HPLC analysis, which were 84.9% and 81.5%. It is noteworthy that bis(oxazoline)-type ligands produce 19F NMR signals characterized by chemical shifts that differ from those produced by the nitrile products, thereby not affecting the ee assessments (Fig. S19 in ESI). Typically, HPLC analysis requires a prepurification step, but our approach circumvents this necessity, demonstrating a significant advantage for high-throughput analysis. This method's ability to bypass extensive purification steps not only saves time but also makes it an attractive option for rapidly assessing the enantioselectivity of reactions in a more efficient manner.

In conclusion, we have developed a novel approach to enhance the resolving ability of chiral 19F-labeled probes by manipulating the structural twisting of the probe's backbone. It is demonstrated that strategically replacing the pyridyl moiety with a 2-fluoroquinolyl group leads to a significant torsion angle. This structural alteration increases the probe's sensitivity to discern both distal chiral centers and chiral centers substituted by very similar alkyl groups. Enhanced chiral resolving capabilities were observed across a range of chiral analytes, including nitriles, amines, and amino alcohols. Computational simulations have provided further insights into how this modification induces structural twisting. We anticipate that this new strategy will extend to the design of other chiral probes, beyond those based solely on NMR techniques. The advancement in 19F-labeled chiral probes is expected to significantly expedite progress in related fields, particularly asymmetric catalysis and drug discovery.

This work was supported by the National Natural Science Foundation of China (22271305) and the Strategic Priority Research Program of the Chinese Academy of Sciences (XDB0590000).

Conflicts of interest

There are no conflicts to declare.

Notes and references

  1. (a) K. Bingol, L. Bruschweiler-Li, D. Li, B. Zhang, M. Xie and R. Brüschweiler, Bioanalysis, 2016, 8, 557 CrossRef CAS PubMed; (b) J. Du, M. Hu, J. Fan and X. Peng, Chem. Soc. Rev., 2012, 41, 4511 RSC; (c) M. A. De La Fuente and M. Juárez, Crit. Rev. Food Sci. Nutr., 2005, 45, 563 CrossRef CAS PubMed; (d) L. Vaclavik, A. Schreiber, O. Lacina, T. Cajka and J. Hajslova, Metabolomics, 2012, 8, 793 CrossRef CAS; (e) D. R. Milićević, M. Škrinjar and T. Baltić, Toxins, 2010, 2, 572 CrossRef PubMed; (f) C. K. Ho, A. Robinson, D. R. Miller and M. J. Davis, Sensors, 2005, 5, 4 CrossRef CAS; (g) J. Jiang, L. Wen, H. Wang, X. Chen, Y. Zhao and X. Wang, J. Fluorine Chem., 2023, 226, 110085 CrossRef.
  2. (a) X. Wu, Z. Li, X. X. Chen, J. S. Fossey, T. D. James and Y. B. Jiang, Chem. Soc. Rev., 2013, 42, 8032 RSC; (b) O. R. Miranda, B. Creran and V. M. Rotello, Curr. Opin. Chem. Biol., 2010, 14, 728 CrossRef CAS PubMed; (c) K. L. Diehl and E. V. Anslyn, Chem. Soc. Rev., 2013, 42, 8596 RSC.
  3. (a) L. D. Barron, Chem. Soc. Rev., 1986, 15, 189 RSC; (b) P. Cintas, Angew. Chem., Int. Ed., 2002, 41, 1139 CrossRef CAS; (c) S. Yu and L. Pu, J. Am. Chem. Soc., 2010, 132, 17698 CrossRef CAS PubMed; (d) L. Zhu and E. V. Anslyn, J. Am. Chem. Soc., 2004, 126, 3676 CrossRef CAS PubMed.
  4. (a) B. Kasprzyk-Hordern, Chem. Soc. Rev., 2010, 39, 4466 RSC; (b) K. H. Engel, J. Agric. Food Chem., 2020, 68, 10265 CrossRef CAS.
  5. (a) M. Liu, L. Zhang and T. Wang, Chem. Rev., 2015, 115, 7304 CrossRef CAS; (b) F. Yang, M. Wang, D. Zhang, J. Yang, M. Zheng and Y. Li, Chem. Rev., 2020, 120, 2693 CrossRef CAS PubMed.
  6. (a) P. Parrilla Vázquez, C. Ferrer, M. J. Martínez Bueno and A. R. Fernández-Alba, TrAC, Trends Anal. Chem., 2019, 115, 13 CrossRef; (b) W. H. Pirkle and T. C. Pochapsky, Chem. Rev., 1989, 89, 347 CrossRef CAS; (c) Y. Okamoto and T. Ikai, Chem. Soc. Rev., 2008, 37, 2593 RSC; (d) J. Shen and Y. Okamoto, Chem. Rev., 2016, 116, 1094 CrossRef CAS.
  7. (a) H. Qian, M. Zhu, C. Gayathri, R. R. Gil and R. Jin, ACS Nano, 2011, 5, 8935 CrossRef CAS; (b) X. Li, K. H. Hopmann, J. Hudecová, J. Isaksson, J. Novotná, W. Stensen, V. Andrushchenko, M. Urbanová, J. S. Svendsen, P. Bouř and K. Ruud, J. Phys. Chem. A, 2013, 117, 1721 CrossRef CAS PubMed; (c) S. Immel, M. Köck and M. Reggelin, J. Am. Chem. Soc., 2022, 144, 6830 CrossRef CAS PubMed.
  8. (a) Z. Xu and Y. Zhao, J. Fluorine Chem., 2023, 266, 110089 CrossRef CAS; (b) Z. Xu, C. Liu, S. Zhao, S. Chen and Y. Zhao, Chem. Rev., 2019, 119, 195 CrossRef CAS PubMed; (c) H. Chen, S. Viel, F. Ziarelli and L. Peng, Chem. Soc. Rev., 2013, 42, 7971 RSC.
  9. (a) M. Kriegelstein, D. Profous, A. Lyčka, Z. Trávníček, A. Přibylka, T. Volná, S. Benická and P. Cankař, J. Org. Chem., 2019, 84, 11911 CrossRef CAS; (b) B. Huang, L. Xu, N. Wang, J. Ying, Y. Zhao and S. Huang, Anal. Chem., 2022, 94, 1867 CrossRef CAS PubMed; (c) L. Xu, B. Huang, Z. Hou, S. Huang and Y. Zhao, Anal. Chem., 2023, 95, 3012 CrossRef CAS.
  10. (a) Y. Jia, L. Wen, W. Bao, Z. Xu, J. Wu and Y. Zhao, Anal. Chem., 2023, 95, 10362 CrossRef CAS; (b) W. Wang, X. Xia, G. Bian and L. Song, Chem. Commun., 2019, 55, 6098 RSC.
  11. (a) Y. Li, L. Wen, H. Meng, J. Lv, G. Luo and Y. Zhao, Cell Rep. Phys. Sci., 2020, 1, 100100 CrossRef; (b) Z. Xu and Y. Zhao, Chem. Rec., 2023, e202300031 CrossRef CAS.
  12. (a) J. Liang, Z. Xu, J. Wu and Y. Zhao, Anal. Chem., 2023, 95, 7569 CrossRef CAS PubMed; (b) H. Li, Z. Xu, S. Zhang, Y. Jia and Y. Zhao, Anal. Chem., 2022, 94, 2023 CrossRef CAS PubMed.
  13. (a) G. Gu, Z. Xu, L. Wen, J. Liang, C. Wang, X. Wan and Y. Zhao, JACS Au, 2023, 3, 1348 CrossRef CAS PubMed; (b) G. Gu, Y. Yue, C. Wang, W. Zhang, J. Wu, Y. Li and Y. Zhao, Org. Lett., 2023, 25, 4819 CrossRef CAS.
  14. C. Dong, Z. Xu, L. Wen, S. He, J. Wu, Q. H. Deng and Y. Zhao, Anal. Chem., 2021, 93, 2968 CrossRef CAS PubMed.
  15. Z. Li, G. Zhang, Y. Song, M. Li, Z. Li, W. Ding and J. Wu, Org. Lett., 2023, 25, 3023 CrossRef CAS PubMed.

Footnotes

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4cc01313a
These authors contributed equally to this work.

This journal is © The Royal Society of Chemistry 2024
Click here to see how this site uses Cookies. View our privacy policy here.