Open Access Article
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Detection of glyphosate with a copper(II)-pyrocatechol violet based GlyPKit

Prerna Yadav and Felix Zelder *
Department of Chemistry, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland. E-mail: felix.zelder@chem.uzh.ch; Web: www.felix-zelder.net Fax: +41 44 635 6803

Received 8th July 2021 , Accepted 4th September 2021

First published on 6th September 2021


Abstract

This paper describes the development of a test kit for the selective detection of glyphosate (GlyP). A copper(II)-pyrocatechol violet complex was selected by a screening approach from a pool of 96 combinations of metal ions and commercially available indicators and subsequently incorporated as a detection zone into a hydrophobic C18 solid support. With this kit, detection of 20 μM GlyP in tap water by the “naked eye” is possible and quantifications by smartphone analysis with a limit of detection as low as 2.66 μM (450 μg L−1) have been demonstrated in a proof-of-principle study.


Introduction

Herbicides are agricultural additives used to control the growth of unwanted plants and hence improve crop production. One of the most widely applied but controversially discussed organophosphate based herbicides is N-(phosphonomethyl)glycine, better known as glyphosate (GlyP) or “Roundup” (Fig. 1).1,2 GlyP is a water-soluble synthetic, broad-spectrum herbicide effective for more than 100 species of weed.1 It is a four-proton donor with pKa values of 0.80, 2.22, 5.44 and 10.13[thin space (1/6-em)]3 and is a good chelator for metal ions such as CuII, ZnII, NiII and FeII.4–6 Among these four metal ions, the CuII-GlyP complex exhibits the highest thermodynamic stability (log[thin space (1/6-em)]β = 11.9).5 The weed controlling power of GlyP is based on inhibiting the activity of the enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) in the shikimate pathway.7,8 Advantageously, GlyP is decomposed into CO2 and aminomethylphosphonic acid (AMPA) by soil microbes (Fig. 1).8 Since the introduction of genetically modified GlyP-resistant crops,4,9 its usage has increased almost 258-fold in the past 40 years in over 140 countries.10,11
image file: d1ay01168e-f1.tif
Fig. 1 Transport, fate, and potential effects of glyphosate (GlyP) in agricultural landscapes.

Despite this impressive commercial success, its effect on human health is controversially discussed. In particular, GlyP was classified in 2015 as a probable carcinogen to humans (group 2A) by the International Agency for Research on Cancer (IARC).12 There have been other studies describing the potential toxic effects of GlyP on human health.1,11,13,14 In contrast to these evaluations, the European Food Safety Authority (EFSA) listed GlyP as non-carcinogenic for humans.12 The ambiguity concerning the toxicity of GlyP for humans is expressed in drastic variations of regulations between different countries. While the maximum contaminant level of the herbicide is 700 μg L−1 (4.14 μM) in the US, the tolerable level is about 7000 times lower in the European Union (0.1 μg L−1; 0.6 nM).1,9,10,14

Considering the excessive use of GlyP in agriculture and its potential impact on human health, detection of the herbicide in the environment, drinking water and foodstuff is of enormous importance, but difficult due its high polarity and solubility in aqueous media.15 Conventional detection methods such as GC- or LC-MS are sensitive (LOD = 0.0005 ng mL−1),9 but they depend on expensive resources and expert technical knowledge and hence, are not available to everyone. In contrast, immunoassay techniques have been reported as alternative,9,16,17 but the tests require special storage and handling.

Small molecules for the colorimetric and fluorometric detection of GlyP are interesting and cost-effective alternatives.9,18–21

Indicator displacement assays (IDAs)19,22 with either CuII-coumarin20 or ZnII-pyrocatechol violet (PV)18,23–26 have already been successfully applied in this context. In particular, the latter system has been incorporated in a coordination binding-based sensor array for the detection of various phosphates including GlyP.19

Herein, we report the sensitive optical detection of glyphosate with an immobilized Cu(II)-pyrocatechol violet complex (Fig. 2) by an indicator displacement assay. We have successfully applied colorimetric solid-phase27,28 extraction29–34 for the detection of the herbicide in tap water by naked-eye and smartphone colorimetry.


image file: d1ay01168e-f2.tif
Fig. 2 Schematic representation of detection of GlyP with an immobilized CuII2-PV complex by an indicator displacement assay using solid phase extraction.

Results and discussion

Naked-eye screening process

This section describes the identification of CuII-pyrocatechol violet (CuII2-PV)26 and ZnII-zincon35 complexes for the selective detection of GlyP. These metal-based indicators were selected by a two-step naked-eye screening procedure from a pool of 96 combinations of four metal ions and eight commercially available indicators at three different pH as outlined in Fig. 3 and S1 and described in the ESI.36
image file: d1ay01168e-f3.tif
Fig. 3 Two-step screening procedure for the identification of CuII2-PV and ZnII-zincon as metal-based GlyP probes.

In the first step of the screening procedure (Fig. 3), eight indicators such as murexide or zincon (30 μM; Fig. S1) were combined at pH 5.50, 7.40 and 9.00 with four metal ions (FeIII, CuII, ZnII and NiII; 1 or 2 equiv.) having a high affinity to GlyP (log[thin space (1/6-em)]β > 8).4 Out of these 96 combinations, 35 metal-indicator (Mn+-indicator) complexes with a distinct color from the metal-free indicator were selected (Section S2, Tables S1, S3, and S4, and Fig. S7 and S8).

In the second step, these selected metal-indicator complexes (30 μM) were screened against GlyP (10 equiv.) and PO43− (Pi; 10 equiv.). The latter anion was chosen since it interferes with other metal-complexes for anion detection.36 Metal-indicator complexes showing a color change to the metal-free indicator due to selective decomplexation with GlyP were selected afterwards. Twenty six combinations of metal-indicators were discarded because they showed an unselective response towards both analytes, GlyP and Pi. In contrast, nine combinations of Mn+-indicator complexes showed a selective response towards GlyP at either pH 5.50, 7.40 or 9.00, i.e. no change in color of these Mn+-indicator complexes was observed in the presence of Pi (Tables S2–S4 and Fig. S7 and S8). Seven of these combinations such as ZnII2-PV18 were discarded because they showed either low stability or an insufficient color contrast, i.e., poor discrimination between the colors of the metal-indicator complex and the metal-free indicator. Consequently, only two metal-indicators remained as promising candidates for detecting GlyP (Fig. 4). In particular, the blue colored CuII2-PV26 complex (30 μM) converted at pH 6.50 to yellow colored pyrocatechol violet in the presence of GlyP (10 equiv.; Fig. 4B). Dark blue ZnII-zincon37 (30 μM; Fig. 4A) showed GlyP-induced (10 equiv.) demetallation to tangerine colored zincon at pH 7.20. After having identified these two Mn+-indicator complexes as potential candidates for sensing GlyP, they were investigated in sensitivity and selectivity studies as well as tested for their incorporation into a GlyP test kit.


image file: d1ay01168e-f4.tif
Fig. 4 Schematic representation and changes of the color of reactions between ZnII-zincon (30 μM; (A)) or CuII2-PV (30 μM; (B)) and GlyP (10 equiv.) or PO43− (10 equiv.).

A ZnII-zincon complex for GlyP detection

Zincon forms with ZnII a square-planar ZnII-zincon complex as depicted in Fig. 4A.37 When GlyP (0–10 equiv.) was titrated stepwise to an aq. soln. of ZnII-zincon (30 μM) at pH 7.20 ([HEPES buffer] = 10 mM), a blue shift of the absorption maximum from 618 to 467 nm was observed accompanied by a change of color from dark blue to tangerine (Fig. 5left). These changes indicate strikingly the formation of zincon (λmax = 467 nm) by decomplexation of ZnII-zincon with GlyP (Fig. 4A). We assume that this displacement reaction is triggered by the high thermodynamic stability of the ZnII-GlyP complex (log[thin space (1/6-em)]β = 8.40).4 A calibration curve was generated from titration experiments with GlyP in the linear range, resulting in a limit of detection (LOD) of 4.80 μM (811 μg L−1) (Fig. 5right).
image file: d1ay01168e-f5.tif
Fig. 5 Left: UV-vis spectra of titration of ZnII-zincon (30 μM; λmax = 618 nm) with GlyP leading to metal-free zincon (λmax = 467 nm) at pH 7.20, [HEPES buffer] = 10 mM. Right: Corresponding calibration curve ([ZnII-zincon] = 30 μM, [GlyP] = 0–30 μM; LOD = 4.80 μM (811 μg L−1), R2 = 0.997).

The selectivity of ZnII-zincon (30 μM) was subsequently tested by the naked eye with nine potentially interfering ions (10 equiv.). None of these ions induced a color change of the blue colored ZnII-zincon complex (Fig. S2). Despite promising selectivity results in solution, incorporation of ZnII-zincon into solid-phase extraction kits was attempted, but it was not successful and hence not pursued any further.

A CuII-pyrocatechol complex for GlyP detection

The complexation of pyrocatechol violet (PV; 30 μM) with CuII (2 equiv.) led to the formation of a previously described CuII2-PV complex (λmax = 625 nm) with a metal ion to ligand stoichiometry of 2[thin space (1/6-em)]:[thin space (1/6-em)]1 (Fig. S2) and a log[thin space (1/6-em)]β of 10.08 ± 0.14.26,38 Spectroscopic changes of the complex were recorded in the absence of any analyte at 625 nm and pH 6.50 ([HEPES buffer] = 10 mM) indicating that a freshly prepared solution is stable for at least 60 min (ΔA625 nm ≤ 5%), while significant changes (ΔA625 nm ≤ 15%) are already observed after 180 min (Fig. S3). Addition of increasing concentrations of GlyP (0–60 μM) to CuII2-PV resulted in a blue shift (Δλmax = 180 nm) in the absorption spectrum, characteristic of the formation of the metal-free PV indicator (λmax = 445 nm) (Fig. 6left). We suggest that decomplexation of the two copper ions from the CuII2-PV complex with tridentate GlyP (10 equiv.) at pH 6.50 is favoured by the high thermodynamic stability of the CuII-GlyP complex (log[thin space (1/6-em)]β = 11.9).5 A calibration curve was generated from titrations of CuII2-PV (30 μM) with GlyP (0–2 equiv.) indicating that quantifications are possible in the linear range up to 60 μM with a limit of detection as low as 2.50 μM (422 μg L−1) (Fig. 6right).
image file: d1ay01168e-f6.tif
Fig. 6 Left: Changes of absorbance of CuII2-PV (30 μM, λmax = 625 nm) in the presence of GlyP (0–60 μM) at pH 6.50, [HEPES buffer] = 10 mM; λmax (PV) = 445 nm. Right: Calibration curve with an LOD of 2.50 μM (422 μg L−1) (R2 = 0.998).

Naked-eye selectivity studies were performed with 14 different ions (Fig. S4), showing that blue colored CuII2-PV (30 μM) was only converted to yellow colored PV with GlyP, but not with any of the other potential interferents.

In contrast to our attempts with ZnII-zincon, CuII2-PV (10 nmol) was successfully immobilized on hydrophobic C18 solid supports, indicated by a blue-colored ring on the top of the GlyPKit (detection zone; Fig. 7middle). Upon passing an aq. soln. of GlyP (10 nmol, 2 mL; approx. 1 drop per 3 s, pH 6.50) through the GlyPKit, a color change from blue to dark yellow was observed in the detection zone indicating the formation of metal-free immobilized PV (Fig. 2). This reaction is in agreement with the decomplexation of CuII2-PV with GlyP under homogeneous conditions (Fig. 4B). Naked-eye sensitivity of the immobilized CuII2-PV towards GlyP was enhanced in comparison to that of CuII2-PV in the solution phase (Fig. S5).34


image file: d1ay01168e-f7.tif
Fig. 7 Immobilizations of PV and CuII2-PV on the top of C18ec cartridges at pH 6.50 ([HEPES] = 10 mM). Left: PV (2 mL, 5 μM; 10 nmol; dark yellow), middle: CuII2-PV (2 mL, 5 μM; 10 nmol; detection zone: blue), right: CuII2-PV + GlyP (2 mL, 5 μM, 10 nmol; detection zone: dark yellow).

Despite these encouraging results, we noticed that the sensitivity of the GlyP test kit was lowered when we tested GlyP-spiked tap water instead of GlyP-spiked distilled water. This effect is most likely due to the formation of Ca2+/(Mg2+)-GlyP complexes in tap water which makes demetallation of the immobilized CuII2-PV more difficult compared to decomplexation with metal-free GlyP (i.e., GlyP-spiked distilled water). Tap water in the city of Zurich contains about 53 mg L−1 Ca2+ and 8 mg L−1 Mg2+ amongst other potentially interfering ions.39 Nevertheless, the detection of as low as 20 μM GlyP in tap water by the naked eye is still possible with the GlyP test kit (Fig. 8). Quantification of GlyP with the test kit using an optical readout of a smartphone is also possible as demonstrated in a proof-of-principle study. In particular, we created a set of reference images from GlyP kits treated with different known concentrations of GlyP-spiked tap water (2 mL; 0–100 μM; 0–200 nmol). Average R values corresponding to the respective colors of the detection zones were plotted against concentrations of GlyP resulting in a calibration with a linear range between 0 and 4 μM and a LOD of 2.66 μM (450 μg L−1) (Fig. 8left). Therefore, quantifications meeting the US regulations (700 μg L−1; 4.14 μM) are possible with this method.


image file: d1ay01168e-f8.tif
Fig. 8 Left: Averaged R values of calibration samples of immobilized CuII2-PV (10 nmol; detection zone: blue) treated with different conc. of GlyP (2 mL; 0–100 μM; 0–200 nmol). Inset: Corresponding calibration curve: LOD* = 2.66 μM (450 μg L−1), R2 = 0.997. Right: A photograph of calibration samples (from top left to bottom right: 0–100 μM; bottom right: empty white cartridge).

The selectivity of immobilized CuII2-PV (10 nmol) for GlyP testing in tap water was not affected by additional spiking with ions usually present in tap water (Ca2+, Mg2+, Na+, K+, CO32−, and Cl; 100 nmol, 2 mL) (Fig. S6A). In other situations, the presence of polydentate ligands might interfere with the detection of GlyP. This was demonstrated with oxalate26 and pyrophosphate40–42 (C2O42−, PPi; 100 nmol, 2 mL) leading to a change of color of the detection zone from blue to brown-yellow (Fig. S6B).

Conclusions

The development of a test kit (GlyPKit) for the selective detection of glyphosate (GlyP) is described. For this purpose, a Cu(II)-pyrocatechol violet complex was selected by a screening approach from a pool of 96 combinations of metal ions and commercially available indicators and subsequently incorporated as a detection zone into a hydrophobic C18 solid support. With this device, detection of as low as 20 μM GlyP in tap water by the naked eye has been demonstrated and quantifications by smartphone analysis with a limit of detection as low as 2.66 μM (450 μg L−1) are possible as demonstrated in a proof-of-principle study.

Conflicts of interest

The authors declare no conflict of interest.

Acknowledgements

We acknowledge financial and general support by the Department of Chemistry of the University of Zurich. This work was financially supported by a grant from the Swiss National Science Foundation (F. Z.: grant no. 200021_169216). Opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the SNF.

References

  1. I. M. Meftaul, K. Venkateswarlu, R. Dharmarajan, P. Annamalai, M. Asaduzzaman, A. Parven and M. Megharaj, Environ. Pollut., 2020, 263, 114372 CrossRef CAS PubMed.
  2. E. Stavra, P. S. Petrou, G. Koukouvinos, A. Economou, D. Goustouridis, K. Misiakos, I. Raptis and S. E. Kakabakos, Talanta, 2020, 214, 120854 CrossRef CAS PubMed.
  3. O. K. Borggaard and A. L. Gimsing, Pest Manage. Sci., 2008, 64, 441–456 CrossRef CAS PubMed.
  4. M. Mertens, S. Höss, G. Neumann, J. Afzal and W. Reichenbecher, Environ. Sci. Pollut. Res., 2018, 25, 5298–5317 CrossRef CAS PubMed.
  5. H. Madsen, H. Christensen, C. Gottlieb-Petersen, A. Andresen, O. Smidsrød, C.-O. Pontchour, P. Phavanantha, S. Pramatus, B. Cyvin and S. J. Cyvin, Acta Chem. Scand., 1978, 32, 79–83 CrossRef.
  6. S. O. Duke, J. Lydon, W. C. Koskinen, T. B. Moorman, R. L. Chaney and R. Hammerschmidt, J. Agric. Food Chem., 2012, 60, 10375–10397 CrossRef CAS PubMed.
  7. W. Lu, L. Li, M. Chen, Z. Zhou, W. Zhang, S. Ping, Y. Yan, J. Wang and M. Lin, Mol. BioSyst., 2013, 9, 522–530 RSC.
  8. D. N. Ribeiro, V. K. Nandula, F. E. Dayan, A. M. Rimando, S. O. Duke, K. N. Reddy and D. R. Shaw, J. Agric. Food Chem., 2015, 63, 1689–1697 CrossRef CAS PubMed.
  9. A. L. Valle, F. C. C. Mello, R. P. Alves-Balvedi, L. P. Rodrigues and L. R. Goulart, Environ. Chem. Lett., 2019, 17, 291–317 CrossRef CAS.
  10. C. M. Benbrook, Environ. Sci. Eur., 2016, 28, 3 CrossRef PubMed.
  11. L. P. Agostini, R. S. Dettogni, R. S. dos Reis, E. Stur, E. V. W. dos Santos, D. P. Ventorim, F. M. Garcia, R. C. Cardoso, J. B. Graceli and I. D. Louro, Sci. Total Environ., 2020, 705, 135808 CrossRef CAS PubMed.
  12. C. J. Portier, B. K. Armstrong, B. C. Baguley, X. Baur, I. Belyaev, R. Bellé, F. Belpoggi, A. Biggeri, M. C. Bosland, P. Bruzzi, L. T. Budnik, M. D. Bugge, K. Burns, G. M. Calaf, D. O. Carpenter, H. M. Carpenter, L. López-Carrillo, R. Clapp, P. Cocco, D. Consonni, P. Comba, E. Craft, M. A. Dalvie, D. Davis, P. A. Demers, A. J. De Roos, J. DeWitt, F. Forastiere, J. H. Freedman, L. Fritschi, C. Gaus, J. M. Gohlke, M. Goldberg, E. Greiser, J. Hansen, L. Hardell, M. Hauptmann, W. Huang, J. Huff, M. O. James, C. W. Jameson, A. Kortenkamp, A. Kopp-Schneider, H. Kromhout, M. L. Larramendy, P. J. Landrigan, L. H. Lash, D. Leszczynski, C. F. Lynch, C. Magnani, D. Mandrioli, F. L. Martin, E. Merler, P. Michelozzi, L. Miligi, A. B. Miller, D. Mirabelli, F. E. Mirer, S. Naidoo, M. J. Perry, M. G. Petronio, R. Pirastu, R. J. Portier, K. S. Ramos, L. W. Robertson, T. Rodriguez, M. Röösli, M. K. Ross, D. Roy, I. Rusyn, P. Saldiva, J. Sass, K. Savolainen, P. T. J. Scheepers, C. Sergi, E. K. Silbergeld, M. T. Smith, B. W. Stewart, P. Sutton, F. Tateo, B. Terracini, H. W. Thielmann, D. B. Thomas, H. Vainio, J. E. Vena, P. Vineis, E. Weiderpass, D. D. Weisenburger, T. J. Woodruff, T. Yorifuji, I. J. Yu, P. Zambon, H. Zeeb and S.-F. Zhou, J. Epidemiol. Community Health, 2016, 70, 741 CrossRef PubMed.
  13. M. Ansari, S. Sedighi-Khavida and B. Hatami, J. Environ. Health Sustainable Dev., 2019, 4, 731–743 CAS.
  14. A. H. C. Van Bruggen, M. M. He, K. Shin, V. Mai, K. C. Jeong, M. R. Finckh and J. G. Morris, Sci. Total Environ., 2018, 616–617, 255–268 CrossRef CAS PubMed.
  15. S. Singh, V. Kumar, S. Datta, A. B. Wani, D. S. Dhanjal, R. Romero and J. Singh, Environ. Chem. Lett., 2020, 18, 663–702 CrossRef CAS.
  16. E. Viirlaid, M. Ilisson, S. Kopanchuk, U. Mäeorg, A. Rinken and T. Rinken, Environ. Monit. Assess., 2019, 191, 507 CrossRef CAS PubMed.
  17. E. C. Reynoso, E. Torres, F. Bettazzi and I. Palchetti, Biosensors, 2019, 9, 20 CrossRef CAS PubMed.
  18. V. Hamedpour, Y. Sasaki, Z. Zhang, R. Kubota and T. Minami, Anal. Chem., 2019, 91, 13627–13632 CrossRef CAS PubMed.
  19. T. Minami, Y. Liu, A. Akdeniz, P. Koutnik, N. A. Esipenko, R. Nishiyabu, Y. Kubo and P. Anzenbacher, J. Am. Chem. Soc., 2014, 136, 11396–11401 CrossRef CAS PubMed.
  20. X. Wang, M. Sakinati, Y. Yang, Y. Ma, M. Yang, H. Luo, C. Hou and D. Huo, Anal. Methods, 2020, 12, 520–527 RSC.
  21. A. M. Agafontsev, A. Ravi, T. A. Shumilova, A. S. Oshchepkov and E. A. Kataev, Chem.–Eur. J., 2019, 25, 2684–2694 CrossRef CAS PubMed.
  22. B. T. Nguyen and E. V. Anslyn, Coord. Chem. Rev., 2006, 250, 3118–3127 CrossRef CAS.
  23. S. Svane, F. Kjeldsen, V. McKee and C. J. McKenzie, Dalton Trans., 2015, 44, 11877–11886 RSC.
  24. W. Yu, J. Qiang, J. Yin, S. Kambam, F. Wang, Y. Wang and X. Chen, Org. Lett., 2014, 16, 2220–2223 CrossRef CAS PubMed.
  25. T. Rossel and M. Creus, Chimia, 2019, 73, 599–603 CrossRef CAS PubMed.
  26. J. Su, Y.-Q. Sun, F.-J. Huo, Y.-T. Yang and C.-X. Yin, Analyst, 2010, 135, 2918–2923 RSC.
  27. Y. Xu and M. Bonizzoni, Analyst, 2020, 145, 3505–3516 RSC.
  28. Z. Zhang, V. Hamedpour, X. Lyu, Y. Sasaki and T. Minami, ChemPlusChem, 2021, 86, 798–802 CrossRef CAS PubMed.
  29. M. P. Arena, M. D. Porter and J. S. Fritz, Anal. Chem., 2002, 74, 185–190 CrossRef CAS PubMed.
  30. D. B. Gazda, R. J. Lipert, J. S. Fritz and M. D. Porter, Anal. Chim. Acta, 2004, 510, 241–247 CrossRef CAS.
  31. H. Filik, D. Aksu, R. Apak and I. Boz, Sens. Actuators, B, 2009, 141, 491–497 CrossRef CAS.
  32. O. P. Shvoeva, V. P. Dedkova and S. B. Savvin, J. Anal. Chem., 2001, 56, 1080–1083 CrossRef CAS.
  33. M. Cherbuin, F. Zelder and W. Karlen, Analyst, 2018, 40, 130–136 Search PubMed.
  34. C. Männel-Croisé and F. Zelder, ACS Appl. Mater. Interfaces, 2012, 4, 725–729 CrossRef PubMed.
  35. B. P. Morgan, S. He and R. C. Smith, Inorg. Chem., 2007, 46, 9262–9266 CrossRef CAS PubMed.
  36. C. Männel-Croisé, C. Meister and F. Zelder, Inorg. Chem., 2010, 49, 10220–10222 CrossRef PubMed.
  37. A. Kocyła, A. Pomorski and A. Krężel, J. Inorg. Biochem., 2017, 176, 53–65 CrossRef PubMed.
  38. P. Upadhya, M. Singh, R. Vimal and R. Nayan, J. Indian Chem. Soc., 1997, 74, 367–372 CAS.
  39. https://www.stadt-zuerich.ch/dib/de/index/wasserversorgung/Qualitaetsueberwachung/qualitaetswerte/mineraliengehalt.html, vol. 2021.
  40. P. Yadav, M. Jakubaszek, B. Spingler, B. Goud, G. Gasser and F. Zelder, Chem.–Eur. J., 2020, 26, 5717–5723 CrossRef CAS PubMed.
  41. P. Yadav and F. Zelder, Chimia, 2020, 74, 252–256 CrossRef CAS PubMed.
  42. R. R. Mittapalli, S. S. R. Namashivaya, A. S. Oshchepkov, E. Kuczyńska and E. A. Kataev, Chem. Commun., 2017, 53, 4822–4825 RSC.

Footnote

Electronic supplementary information (ESI) available. See DOI: 10.1039/d1ay01168e

This journal is © The Royal Society of Chemistry 2021