Hydrogen-bonded macrocycle-mediated dimerization for orthogonal supramolecular polymerization

  1. ORCID Logo ,
  2. ORCID Logo ,
  3. ORCID Logo ,
  4. ORCID Logo and
  5. ORCID Logo
College of Chemistry, Sichuan University, Chengdu 610064, China
  1. Corresponding author email
Guest Editors: J. W. Meisel and A. H. Flood
Beilstein J. Org. Chem. 2025, 21, 179–188. https://doi.org/10.3762/bjoc.21.10
Received 19 Oct 2024, Accepted 09 Jan 2025, Published 17 Jan 2025
A non-peer-reviewed version of this article has been posted as a preprint https://doi.org/10.3762/bxiv.2024.62.v1
Full Research Paper
cc by logo

Abstract

Orthogonal self-assembly represents a useful methodology to construct supramolecular polymers with AA- and AB-type monomers, as commonly used for covalently linked polymers. So far, the design of such monomers has relied heavily on three-dimensional macrocycles, and the use of two-dimensional shape-persistent macrocycles for this purpose remains rather rare. Here, we demonstrate a dimerization motif based on a hydrogen-bonded macrocycle that can be effectively applied to form orthogonal supramolecular polymers. The macrocycle-mediated connectivity was confirmed by single-crystal X-ray diffraction, which revealed a unique 2:2 binding motif between host and guest, bridged by two cationic pyridinium end groups through π-stacking interactions and other cooperative intermolecular forces. Zinc ion-induced coordination with the macrocycle and a terpyridinium derivative enabled orthogonal polymerization, as revealed by 1H NMR, DLS, and TEM techniques. In addition, viscosity measurements showed a transition from oligomers to polymers at the critical polymerization concentration of 17 μM. These polymers were highly concentration-dependent. Establishing this new dimerization motif with shape-persistent H-bonded macrocycles widens the scope of noncovalent building blocks for supramolecular polymers and augurs well for the future development of functional materials.

Introduction

Host–guest interactions, particularly those involving macrocycles as hosts [1], have found a myriad of applications in supramolecular chemistry [2-4] owing to their ability to create noncovalent, dynamic, yet in some cases strong forces between molecules. Adding an additional element of interactions to supramolecular systems endows them with a feature of “orthogonal self-assembly”, a process in which molecular species are assembled into aggregates by two or more types of noncovalent interactions that work independently from each other [5-8]. Generating such motifs with orthogonal propensity is appealing not only for the construction of supramolecular polymers with the ability to modulate their structure and properties in multiple ways through adjustment of noncovalent bonding interactions. It also confers on supramolecular assemblies with higher complexity and multilevel ordering [9-11], leading to a vast number of applications, for example, for use in detection and separation [12], sensing [13], photocatalysis [14], release [15], and as thermochromic and photoluminescent materials [16]. In this regard, macrocycles emerged a decade ago as a “sticking” end for homo- and heterodifunctional monomers, enabling supramolecular polymerization [17]. So far, macrocycles that are applied to orthogonal self-assembly have been limited to three-dimensional rings, such as cucurbituril [18], cyclodextrin [19], and calix[4]pyrrole [20], as well as flexible crown ethers [10,21]. Few two-dimensional (2D) shape-persistent macrocyclic compounds are used for this purpose. One difficulty in realizing 2D macrocycle-based orthogonal assembly is that the construction motif must be capable of dimerization by binding to a macrocycle in a 2:2 stoichiometry [22,23]. Such binding motifs are intriguing for macrocycle-mediated supramolecular dimerization since they may enable multiple modes of noncovalent connectivity through combination with other noninterfering interactions (e.g., metal coordination interactions and hydrogen bonding), providing access to various multiresponsive orthogonal self-assemblies or smart supramolecular polymers [24,25]. For example, the discovery of cucurbit[8]uril complexation in a 1:2 and 2:2 host–guest stoichiometry leads to a wide spectrum of applications, which includes catalysis [26], gelation [27], sensing [28], color tuning, etc. [29]. However, only several kinds of macrocycles are capable of supramolecular dimerization through host–guest interactions [30].

Shape-persistent macrocycles have captured the interest of chemists for decades [31,32]. This is not only due to their rich host–guest chemistry but also due to π-surface-enabled self-assembly that enables the creation of various supramolecular structures, such as discotic liquid crystals [33], nanodimers [34], and organic frameworks [35]. Among them, shape-persistent hydrogen-bonded aromatic amide macrocycles [36-42], a class of cyclic compounds comprising a number of aromatic residues with consecutive intramolecular hydrogen bonds and amide linkages, stand out as versatile host molecules as their cavity size, peripheral side chains, and recognition sites are tunable to suit desired functions. These macrocycles have found widespread applications owing to their unique host–guest behaviors in the fields of recognition [43], ion channels [44], catalysis [45], rotaxanes [46], as well as molecular machines [47]. We envisioned that the use of a H-bonded aromatic amide macrocycle with six aromatic residues (hereafter called cyclo[6]aramide for brevity, Scheme 1a) could mediate dimerization as a host. That is because such a 2D macrocycle has six carbonyl oxygen atoms pointing inwards as binding sites, demonstrating excellent affinity for cationic organic guests, including pyridinium and its derivatives [40]. More importantly, it favors intermolecular π-stacking interactions with aromatic guests [48]. Herein, we report on a novel supramolecular dimerization motif in 2:2 stoichiometry using H-bonded aramide macrocycles for constructing orthogonal supramolecular polymers (Scheme 1).

[1860-5397-21-10-i1]

Scheme 1: a) Chemical structures of H-bonded macrocycles H1, H2, and guest G1, and schematic representation of the formation of a 2:2 host–guest complex. b) Chemical structure of guest G2. c) Schematic representation of the formation of a supramolecular polymer through orthogonal self-assembly upon addition of zinc ions.

The terpyridyl group and the pyridinium cation in the AB-type monomer G2 each function as a “sticker” to enable supramolecular polymerization in the presence of the macrocyclic component and zinc ions. The driving force for the recognition involves multiple cooperative interactions, particularly π-stacking interactions between the aromatic rings in a parallel fashion from both host and guest, which is demonstrated by the crystal structure of the key element of the recognition motif.

Results and Discussion

Backdrop for design considerations

Our interest in macrocycle-mediated supramolecular dimerization was triggered by observations in mass spectrometry experiments when exploring host–guest interactions. Positive-ion electrospray ionization mass spectrometry (ESI(+)MS) of a sample solution of cyclo[6]aramide H1 and a pyridinium derivative G1 in CHCl3/CH3CN (1:1, v/v) showed a dominant peak at m/z = 2444.3405, corresponding to the cation [H12 + G12 − 2PF6]2+, indicating the presence of a host–guest complex in a 2:2 stoichiometry in the gas state (Figure 1). Job plot experiments provided a 1:1 stoichiometry (Figure S9, Supporting Information File 3), showing consistency with the molar ratio observed in ESI experiments. These inspiring results prompted us to further examine the interaction between host H1 and G1 by 1H NMR spectroscopy. Our prior experience with cyclo[6]aramide has confirmed binding to the cationic guest [49]. Indeed, addition of compound H1 to the guest solution resulted in a pronounced downfield shift (Δδ = +0.694 ppm) of protons H1 relative to the proton resonance of the free guest G1 in CDCl3/CD3CN (1:1, v/v, Figure 2). Proton H6 also experienced a larger downfield shift (Δδ = +0.519 ppm). The fact that all other resonances for protons H2–H5 only showed relatively small lower frequency shifts (Δδ = −0.033–0.270 ppm) with respect to protons H1 and H6 suggested that the macrocycle tends to reside around the cationic pyridinium site in the binding process. On the other hand, the change in the chemical shift of the protons of G1 was accompanied by a change in the resonance of the internal aromatic protons Ha and Hb in the host H (Δδ= −0.170 and +0.218 ppm, respectively), which all pointed toward the existence of strong host–guest interactions in solution.

[1860-5397-21-10-1]

Figure 1: ESIMS spectrum of an equimolar mixture of G1 and H1 in CHCl3/CH3CN (1:1, v/v), including calculated (blue) and experimental (red) isotopic distribution for [H12 + G12 − 2PF6]2+. Calculated and found m/z = 2444.3373 and 2444.3405, respectively.

[1860-5397-21-10-2]

Figure 2: Stacked 1H NMR spectra (CDCl3/CD3CN 1:1, v/v, 400 MHz, 298 K) of G1 upon addition of different equiv of H1 ([G1] = 1.0⋅10−3 M). (a) 0.0 equiv, (b) 0.2 equiv, (c) 0.4 equiv, (d) 0.6 equiv, (e) 0.8 equiv, (f) 1.0 equiv, (g) 1.2 equiv, (h) 1.4 equiv, and (i) only H1.

Then we attempted to grow single crystals of the complex out of curiosity, wondering whether the 2:2 structure would also be found in the solid state. Fortunately, single crystals of the complex H1 ⊃ G1 were obtained by slow evaporation of chloroform/acetone solvent (1:1, v/v) into a small amount of methanol over the course of two weeks. Indeed, analysis of the crystal structure of the complex revealed a strict 2:2 molar ratio (Figure 3), providing convincing evidence for the dimerization process. The complex crystallized in the monoclinic P2(1)/c space group with lattice constants a = 24.434(4) Å, b = 20.026(3) Å, and c = 23.779(4) Å. The dimeric superstructure was stabilized by multiple cooperative noncovalent interactions, particularly intermolecular π–π-stacking and C–H···O interactions. Specifically, π–π-stacking interactions were found between two guest molecules with aromatic rings arrayed in an offset fashion with a distance of 3.3 Å (Figure 3a). Interestingly, these interactions also existed between one guest and one phenyl ring of the host with a distance of 3.4 Å. The observation of these short π-distances suggested the crucial role of π-stacking interactions in sustaining the stability of the 2:2 complex of host H2 and guest G1. It is worth mentioning that each of the two macrocycles adopted a nonplanar conformation, with one aromatic residue protruding out of the macrocyclic skeleton plane. Adopting such a conformation rendered it possible for the π-electron-rich phenyl ring to interact strongly with π-electron-deficient guest molecules G1 by means of charge–transfer interactions and/or π-stacking interactions, conferring the characteristic 2:2 constitutional stoichiometry onto this host–guest complex. In addition, there were eight C–H···O interactions between the hydrogen atoms of G1 and the nearby pyridinium group of H2, with distances of 2.2–3.5 Å, and two C–H···O interactions between hydrogen atoms of G1 and the nearby phenyl groups of H2, with a distance of 2.7–2.9 Å (Figure 3a and Figure 3b). These results provided conclusive evidence for the 2:2 recognition mode through interaction of two guests with two macrocycles.

[1860-5397-21-10-3]

Figure 3: Single-crystal X-ray structure of the complex H2G1. a) Dimeric structure formed by cyclo[6]aramide H2 and cationic guest G1, with each guest molecule threading one molecule of H2 at its end. b) A portion of the dimeric structure showing an array of hydrogen bonding interactions between the amide oxygen atoms of H2 and G1. The brown dotted lines show the hydrogen bond distance between H2 and the positively charged region of G1 (d[C–H···O] = 2.2–3.5 Å). The red dotted lines show the hydrogen bond distance between H2 and the proton of the phenyl group of G1 (d[C–H···O] = 2.7–2.9 Å). c) Dimeric structure showing the π–π-stacking distances (d[π···π] = 3.3–3.4 Å) between H2 and G1. The side chains of H2 were replaced by a methyl group, all hydrogen atoms except amide groups, solvent molecules, and counterions were omitted for clarity.

With the 2:2 host–guest complexation pattern in mind, a guest molecule G2 consisting of phenylpyridinium and a terpyridyl group was designed (Scheme 1b) to form a host–guest complex with cyclo[6]aramide H1. Compound G2 was synthesized by refluxing S2 and 4-phenylpyridine in acetonitrile for 24 h (Scheme S2, Supporting Information File 3). It was expected that by applying the design rules commonly known for metallosupramolecular polymers and macrocycle-mediated dimerization to supramolecular chemistry, we would be able to generate supramolecular polymers with this heterodifunctional monomer, with one end comprising two macrocycles and the other end coordinating metal ions. In such supramolecular polymers, orthogonal host–guest and coordination interactions are responsible for polymerization.

Host–guest complexation and zinc coordination

When forming supramolecular polymers, an AB-type monomer, i.e., the guest G2, is supposed to interact with the macrocycle H1 and a metal ion via each of two end groups (pyridinium and terpyridyl). As such, host–guest complexation and zinc coordination of the AB-type monomer were investigated.

To begin with, the complex formation between host H1 and G2 was explored by 1H NMR spectroscopic titrations in CDCl3/CD3CN 1:1, v/v. Titration of compound H1 to the guest solution resulted in a constant downfield shift of protons H1 (Δδ = +0.889 ppm) and H13 (Δδ = +0.716 ppm) of the pyridinium moiety, signifying the complexation of the macrocycle at the cationic recognition site. The change in the chemical shift of H12 (Δδ = −0.416 ppm) could be explained by ring translocation along the guest axle due to dynamics in the binding process, which is often observed in pseudorotaxanes [50]. When the H1/G2 molar ratio reached 1:1, the original proton signals of the macrocycle disappeared completely (Figure 4). Further addition of the macrocycle marginally influenced the new set of signals, suggesting formation of an n:n complex of H1 and G2. Job plot experiments afforded a stoichiometry of n:n (Figure S10, Supporting Information File 3), purporting the probability of 2:2 complexation in solution. A strong indication of the formation of 2:2 complex came from ESIMS experiments. The mass spectra recorded for a 1:1 mixture of H1 and G2 showed a multicharged pseudomolecular ion peak corresponding to [H12 + G22 + H+ − 2PF6]3+, and the isotope patterns were in good agreement with theoretical simulations (Figure S12, Supporting Information File 3). Therefore, taken together, these experimental results indicated that the macrocycle H1 had a strong propensity for forming a 2:2 stoichiometric complex with guest G2.

[1860-5397-21-10-4]

Figure 4: Stacked 1H NMR spectra (CDCl3/CD3CN 1:1, v/v, 400 MHz, 298 K) of G2 upon addition of different equiv of H1 ([G2] = 1.0⋅10−3 M). (a) 0.0 equiv, (b) 0.2 equiv, (c) 0.4 equiv, (d) 0.6 equiv, (e) 0.8 equiv, (f) 1.0 equiv, (g) 1.2 equiv, (h) 1.4 equiv, and (i) only H1.

The ability to coordinate with zinc ions constitutes another important aspect of orthogonal self-assembly. To this end, a mixture of G2 and zinc salt in CHCl3/CH3CN (1:1, v/v) was subjected to 1H NMR spectroscopy. Protons H2–H4, H7, H8, H11, and H12 of G2, located around the metal coordination site, were found to experience upfield or downfield shifts to a varying extent (Figure S8, Supporting Information File 3). Particularly noteworthy was the pronounced downfield shift (Δδ = +0.886 ppm) of the signal of proton H1. The change in the chemical shift of the protons of the terpyridyl group suggested the coordination of zinc ion with the terpyridyl end. NOESY data of H1G2, acquired in a CDCl3/CD3CN solvent mixture (1:1, v/v), disclosed numerous spatial NOE correlations between the internal aromatic protons Ha–Hc of H1 and the protons H1, H2, H5, H9, H10, and H13 of G2 (Figure S13, Supporting Information File 3).

Orthogonal self-assembly and supramolecular polymerization

The structure of G2, with one end interacting only with macrocycles and the other end coordinating only with metal ions, dictates that self-assembly will occur upon addition of either macrocycle or metal ions. However, supramolecular polymerization is unlikely to be induced unless both are present – a propensity of orthogonal self-assembly. Indeed, when G2 and zinc salt were mixed together in a 1:1 molar ratio, results from dynamic light scattering experiments showed that the average hydrodynamic diameter (Dh) was 524 nm, and no particles of discernible size were observed for a mixture of the macrocycle H1 and G2, or H1 and the salt, whereas with a solution containing G2, H1, and zinc salt, the Dh of the aggregates abruptly increased to 2580 nm (Figure S15, Supporting Information File 3). These results strongly indicated that polymerization proceeded only when both macrocycles and metal ion were present. TEM images of a solution containing H1, G2, and Zn2+ with a respective concentration of 1 mM and 3 mM revealed a nanoglobular suprastructure, and a larger nanoirregular block suprastructure at higher concentration (5 mM, Figure 5).

[1860-5397-21-10-5]

Figure 5: TEM images of a solution of H1, G2, and Zn(ClO4)2 at different concentrations (CHCl3/CH3CN 1:1, v/v, 298 K).

To confirm aggregate formation, 1H NMR titration experiments were carried out, in which different equiv of the macrocycle H1 were added to a solution containing a 1:1 mixture of G2 and zinc salt. Aromatic protons Ha (Δδ = −0.142 ppm) and Hb (Δδ = +0.357 ppm) were shifted downfield to a great extent, accompanied by the broadening of the signals of G2 (Figure 6). Constant downfield shifts were observed for protons H1 (Δδ = +0.332 ppm) and H13 (Δδ = +0.473 ppm) as well as protons H10 (Δδ = −0.397 ppm) and H12 (Δδ = +0.246 ppm) of the pyridinium moiety, signifying the complexation of the macrocycle at the cationic recognition site. The changes in the chemical shift and the broadening of signals after addition of the macrocycle to a G2/Zn2+ complex were consistent with the formation of supramolecular polymers.

[1860-5397-21-10-6]

Figure 6: Stacked 1H NMR spectra (CDCl3/CD3CN 1:1, v/v, 400 MHz, 298 K) of G2 and Zn2+ upon addition of different equiv of H1 ([G2 + Zn2+] = 1.0⋅10−3 M). (a) 0.0 equiv, (b) 0.4 equiv, (c) 0.6 equiv, (d) 0.8 equiv, (e) 1.0 equiv, (f) 1.2 equiv, (g) 1.4 equiv, and (h) only H1.

The supramolecular polymers formed were further characterized by viscosity and variable-concentration NMR experiments. One important feature of supramolecular polymers is the dependency of their molecular weight on the solution concentration. Further, a change in solution viscosity would reflect a change in molecular weight during the polymerization process. Thus, the specific viscosity of the linear supramolecular polymer (Scheme 1c) in CHCl3/CH3CN (1:1, v/v) was determined at 298 K (Figure 7). The specific viscosity was plotted against the concentration, which revealed two stages: prior to the turning point at 17 μM and beyond. The first stage offered a slope of 1.1, corresponding to the formation of oligomeric assemblies in solution. On continuously increasing the concentration beyond 17 μM, a second stage started, with a slope of 3.4, which is usually an indication of the formation of linear supramolecular polymers [51]. The observation of the turning point concentration, or of a critical polymerization concentration (CPC) [52,53], indicated concentration-driven polymerization, which is characteristic for the formation of supramolecular polymers. The concentration-dependency of a mixture of H1, G2, and zinc salt was examined by variable-concentration NMR spectroscopy. Pronounced broadening of signals was observed (Figure 8), which clearly indicated increasing polymerization upon increasing the concentration of each component.

[1860-5397-21-10-7]

Figure 7: Specific viscosity of the linear supramolecular polymer in CHCl3/CH3CN (1:1, v/v, 298 K) at variable concentration.

[1860-5397-21-10-8]

Figure 8: Variable-concentration 1H NMR spectra of the supramolecular polymer: (a) 2.0 mM, (b) 4.0 mM, (c) 6.0 mM, (d) 8.0 mM, and (e) 10 mM.

Conclusion

We have introduced a new recognition motif based on a hydrogen-bonded aramide macrocycle, which drives the linear polymerization of a heterodifunctional monomer in the presence of zinc ions. In addition to hydrogen bonding interactions, the 2:2 host–guest dimerization is primarily facilitated by enhanced π-stacking interactions between the guests and between the guest and macrocycle. This 2:2 connectivity mode makes shape-persistent H-bonded macrocycles a valuable component for creating orthogonal supramolecular polymers, offering promising potential for designing stimuli-responsive and smart polymers in the future.

Supporting Information

Supporting Information File 1: CheckCIF report for H2G1.
Format: PDF Size: 267.7 KB Download
Supporting Information File 2: Crystallographic data for H2G1 analysed with SHELX (CCDC 2384953).
Format: CIF Size: 63.3 KB Download
Supporting Information File 3: Experimental data and copies of spectra.
Format: PDF Size: 2.5 MB Download

Acknowledgements

We thank Dr. Dongyan Deng from the College of Chemistry as well as Dr. Pengchi Deng and Dr. Chen Yuan from The Analytical & Testing Center, Sichuan University, for analytic testing and valuable help.

Funding

This research was financially supported by the National Natural Science Foundation of China (22271202 to L. Yuan, 22201193 to X. Li), the Sichuan Science and Technology Program (2023NSFSC0109 to X. Li), the Fundamental Research Funds for the Central Universities and the Hundred Talent Program of Sichuan University (YJ2021158 to X. Li), the Sichuan University Interdisciplinary Innovation Fund (X. Li), and Open Project of State Key Laboratory of Supramolecular Structure and Materials (SKLSSM2024037).

Author Contributions

Wentao Yu: data curation; formal analysis; investigation; methodology; resources; writing – review & editing. Zhiyao Yang: data curation; formal analysis; methodology; visualization; writing – review & editing. Chengkan Yu: data curation; formal analysis; visualization; writing – review & editing. Xiaowei Li: conceptualization; data curation; formal analysis; funding acquisition; methodology; project administration; resources; supervision; writing – original draft; writing – review & editing. Lihua Yuan: conceptualization; data curation; formal analysis; funding acquisition; project administration; resources; supervision; writing – original draft; writing – review & editing.

Data Availability Statement

All data that supports the findings of this study is available in the published article and/or the supporting information of this article.

References

  1. Ji, X.; Ahmed, M.; Long, L.; Khashab, N. M.; Huang, F.; Sessler, J. L. Chem. Soc. Rev. 2019, 48, 2682–2697. doi:10.1039/c8cs00955d
    Return to citation in text: [1]
  2. Yang, H.; Yuan, B.; Zhang, X.; Scherman, O. A. Acc. Chem. Res. 2014, 47, 2106–2115. doi:10.1021/ar500105t
    Return to citation in text: [1]
  3. Yan, M.; Wu, S.; Wang, Y.; Liang, M.; Wang, M.; Hu, W.; Yu, G.; Mao, Z.; Huang, F.; Zhou, J. Adv. Mater. (Weinheim, Ger.) 2024, 36, 2304249. doi:10.1002/adma.202304249
    Return to citation in text: [1]
  4. Yu, G.; Jie, K.; Huang, F. Chem. Rev. 2015, 115, 7240–7303. doi:10.1021/cr5005315
    Return to citation in text: [1]
  5. Huck, W. T. S.; Hulst, R.; Timmerman, P.; van Veggel, F. C. J. M.; Reinhoudt, D. N. Angew. Chem., Int. Ed. Engl. 1997, 36, 1006–1008. doi:10.1002/anie.199710061
    Return to citation in text: [1]
  6. Tian, X.; Zuo, M.; Niu, P.; Velmurugan, K.; Wang, K.; Zhao, Y.; Wang, L.; Hu, X.-Y. ACS Appl. Mater. Interfaces 2021, 13, 37466–37474. doi:10.1021/acsami.1c07106
    Return to citation in text: [1]
  7. Wong, C.-H.; Zimmerman, S. C. Chem. Commun. 2013, 49, 1679–1695. doi:10.1039/c2cc37316e
    Return to citation in text: [1]
  8. Wang, S.; Xu, Z.; Wang, T.; Xiao, T.; Hu, X.-Y.; Shen, Y.-Z.; Wang, L. Nat. Commun. 2018, 9, 1737. doi:10.1038/s41467-018-03827-3
    Return to citation in text: [1]
  9. Wei, P.; Yan, X.; Huang, F. Chem. Soc. Rev. 2015, 44, 815–832. doi:10.1039/c4cs00327f
    Return to citation in text: [1]
  10. Xiao, T.; Zhou, L.; Sun, X.-Q.; Huang, F.; Lin, C.; Wang, L. Chin. Chem. Lett. 2020, 31, 1–9. doi:10.1016/j.cclet.2019.05.011
    Return to citation in text: [1] [2]
  11. Hu, X.-Y.; Xiao, T.; Lin, C.; Huang, F.; Wang, L. Acc. Chem. Res. 2014, 47, 2041–2051. doi:10.1021/ar5000709
    Return to citation in text: [1]
  12. Li, Y.; Lou, X.; Wang, C.; Wang, Y.; Jia, Y.; Lin, Q.; Yang, Y. Chin. Chem. Lett. 2023, 34, 107877. doi:10.1016/j.cclet.2022.107877
    Return to citation in text: [1]
  13. Xu, L.; Chen, D.; Zhang, Q.; He, T.; Lu, C.; Shen, X.; Tang, D.; Qiu, H.; Zhang, M.; Yin, S. Polym. Chem. 2018, 9, 399–403. doi:10.1039/c7py01788j
    Return to citation in text: [1]
  14. Bai, Z.; Velmurugan, K.; Tian, X.; Zuo, M.; Wang, K.; Hu, X.-Y. Beilstein J. Org. Chem. 2022, 18, 429–437. doi:10.3762/bjoc.18.45
    Return to citation in text: [1]
  15. Samanta, S. K.; Quigley, J.; Vinciguerra, B.; Briken, V.; Isaacs, L. J. Am. Chem. Soc. 2017, 139, 9066–9074. doi:10.1021/jacs.7b05154
    Return to citation in text: [1]
  16. Wu, H.; Chen, Y.; Dai, X.; Li, P.; Stoddart, J. F.; Liu, Y. J. Am. Chem. Soc. 2019, 141, 6583–6591. doi:10.1021/jacs.8b13675
    Return to citation in text: [1]
  17. Yang, L.; Tan, X.; Wang, Z.; Zhang, X. Chem. Rev. 2015, 115, 7196–7239. doi:10.1021/cr500633b
    Return to citation in text: [1]
  18. Barrow, S. J.; Kasera, S.; Rowland, M. J.; del Barrio, J.; Scherman, O. A. Chem. Rev. 2015, 115, 12320–12406. doi:10.1021/acs.chemrev.5b00341
    Return to citation in text: [1]
  19. Xia, Z.; Song, Y.-F.; Shi, S. Angew. Chem., Int. Ed. 2024, 63, e202312187. doi:10.1002/anie.202312187
    Return to citation in text: [1]
  20. Budak, A.; Aydogan, A. Chem. Commun. 2021, 57, 4186–4189. doi:10.1039/d1cc01003d
    Return to citation in text: [1]
  21. Wei, P.; Yan, X.; Cook, T. R.; Ji, X.; Stang, P. J.; Huang, F. ACS Macro Lett. 2016, 5, 671–675. doi:10.1021/acsmacrolett.6b00286
    Return to citation in text: [1]
  22. Chen, Y.; Kuvayskaya, A.; Pink, M.; Sellinger, A.; Flood, A. H. Chem. Sci. 2024, 15, 389–398. doi:10.1039/d3sc03685e
    Return to citation in text: [1]
  23. Zhao, W.; Qiao, B.; Tropp, J.; Pink, M.; Azoulay, J. D.; Flood, A. H. J. Am. Chem. Soc. 2019, 141, 4980–4989. doi:10.1021/jacs.9b00248
    Return to citation in text: [1]
  24. Yu, H.-J.; Zhou, X.-L.; Dai, X.; Shen, F.-F.; Zhou, Q.; Zhang, Y.-M.; Xu, X.; Liu, Y. Chem. Sci. 2022, 13, 8187–8192. doi:10.1039/d2sc02384a
    Return to citation in text: [1]
  25. Olesińska, M.; Wu, G.; Gómez-Coca, S.; Antón-García, D.; Szabó, I.; Rosta, E.; Scherman, O. A. Chem. Sci. 2019, 10, 8806–8811. doi:10.1039/c9sc03057c
    Return to citation in text: [1]
  26. Tang, B.; Xu, W.; Xu, J.-F.; Zhang, X. Angew. Chem., Int. Ed. 2021, 60, 9384–9388. doi:10.1002/anie.202100185
    Return to citation in text: [1]
  27. Yang, X.; Wang, R.; Kermagoret, A.; Bardelang, D. Angew. Chem., Int. Ed. 2020, 59, 21280–21292. doi:10.1002/anie.202004622
    Return to citation in text: [1]
  28. Zhang, X.-D.; Fang, F.; Chen, K.; Ni, Y. Dyes Pigm. 2024, 227, 112181. doi:10.1016/j.dyepig.2024.112181
    Return to citation in text: [1]
  29. Xia, D.; Wang, P.; Ji, X.; Khashab, N. M.; Sessler, J. L.; Huang, F. Chem. Rev. 2020, 120, 6070–6123. doi:10.1021/acs.chemrev.9b00839
    Return to citation in text: [1]
  30. Wu, G.; Li, F.; Tang, B.; Zhang, X. J. Am. Chem. Soc. 2022, 144, 14962–14975. doi:10.1021/jacs.2c02434
    Return to citation in text: [1]
  31. Zhang, W.; Moore, J. S. Angew. Chem., Int. Ed. 2006, 45, 4416–4439. doi:10.1002/anie.200503988
    Return to citation in text: [1]
  32. Höger, S. Chem. – Eur. J. 2004, 10, 1320–1329. doi:10.1002/chem.200305496
    Return to citation in text: [1]
  33. Li, X.; Li, B.; Chen, L.; Hu, J.; Wen, C.; Zheng, Q.; Wu, L.; Zeng, H.; Gong, B.; Yuan, L. Angew. Chem., Int. Ed. 2015, 54, 11147–11152. doi:10.1002/anie.201505278
    Return to citation in text: [1]
  34. Klyatskaya, S.; Dingenouts, N.; Rosenauer, C.; Müller, B.; Höger, S. J. Am. Chem. Soc. 2006, 128, 3150–3151. doi:10.1021/ja057999g
    Return to citation in text: [1]
  35. Gomez, E.; di Nunzio, M. R.; Moreno, M.; Hisaki, I.; Douhal, A. J. Phys. Chem. C 2020, 124, 6938–6951. doi:10.1021/acs.jpcc.0c01369
    Return to citation in text: [1]
  36. Gong, B.; Shao, Z. Acc. Chem. Res. 2013, 46, 2856–2866. doi:10.1021/ar400030e
    Return to citation in text: [1]
  37. Ong, W. Q.; Zeng, H. J. Inclusion Phenom. Macrocyclic Chem. 2013, 76, 1–11. doi:10.1007/s10847-012-0243-4
    Return to citation in text: [1]
  38. Zhang, D.-W.; Zhao, X.; Hou, J.-L.; Li, Z.-T. Chem. Rev. 2012, 112, 5271–5316. doi:10.1021/cr300116k
    Return to citation in text: [1]
  39. Liu, Z.; Zhou, Y.; Yuan, L. Org. Biomol. Chem. 2022, 20, 9023–9051. doi:10.1039/d2ob01263d
    Return to citation in text: [1]
  40. Huang, S.; Li, X.; Cai, Y.; Feng, W.; Yuan, L. Chem. – Eur. J. 2024, 30, e202303394. doi:10.1002/chem.202303394
    Return to citation in text: [1] [2]
  41. Lu, K.; Zhang, P.; Yue, Y.; Yuan, X.; Yuan, L.; Feng, W. Przem. Chem. 2017, 96, 1906–1912.
    Return to citation in text: [1]
  42. Zhu, Y.; Chen, C.; Sangaraiah, N.; Kannekanti, V. K.; Yuan, L.; Feng, W. J. Iran. Chem. Soc. 2018, 15, 2861–2869. doi:10.1007/s13738-018-1472-2
    Return to citation in text: [1]
  43. Ren, C.; Shen, J.; Zeng, H. Org. Lett. 2015, 17, 5946–5949. doi:10.1021/acs.orglett.5b02780
    Return to citation in text: [1]
  44. Helsel, A. J.; Brown, A. L.; Yamato, K.; Feng, W.; Yuan, L.; Clements, A. J.; Harding, S. V.; Szabo, G.; Shao, Z.; Gong, B. J. Am. Chem. Soc. 2008, 130, 15784–15785. doi:10.1021/ja807078y
    Return to citation in text: [1]
  45. Kang, K.; Lohrman, J. A.; Nagarajan, S.; Chen, L.; Deng, P.; Shen, X.; Fu, K.; Feng, W.; Johnson, D. W.; Yuan, L. Org. Lett. 2019, 21, 652–655. doi:10.1021/acs.orglett.8b03778
    Return to citation in text: [1]
  46. Huang, S.; Wang, Z.; Wu, J.; Mai, X.; Qin, S.; Zhou, Y.; Yuan, D.; Li, X.; Feng, W.; Yuan, L. Chem. Commun. 2024, 60, 5622–5625. doi:10.1039/d4cc00178h
    Return to citation in text: [1]
  47. Yang, Z.; Wang, X.; Penocchio, E.; Ragazzon, G.; Chen, X.; Lu, S.; Zhou, Y.; Fu, K.; Liu, Z.; Cai, Y.; Yu, X.; Li, X.; Li, X.; Feng, W.; Yuan, L. Angew. Chem., Int. Ed. 2025, 64, e202414072. doi:10.1002/anie.202414072
    Return to citation in text: [1]
  48. Xu, M.; Chen, L.; Jia, Y.; Mao, L.; Feng, W.; Ren, Y.; Yuan, L. Supramol. Chem. 2015, 27, 436–443. doi:10.1080/10610278.2014.1002840
    Return to citation in text: [1]
  49. Yu, W.; Kothapalli, S. S. K.; Yang, Z.; Guo, X.; Li, X.; Cai, Y.; Feng, W.; Yuan, L. Molecules 2024, 29, 4842. doi:10.3390/molecules29204842
    Return to citation in text: [1]
  50. Wang, Q.; Zhang, P.; Li, Y.; Tian, L.; Cheng, M.; Lu, F.; Lu, X.; Fan, Q.; Huang, W. RSC Adv. 2017, 7, 29364–29367. doi:10.1039/c7ra05351g
    Return to citation in text: [1]
  51. Wu, L.; Han, C.; Wu, X.; Wang, L.; Caochen, Y.; Jing, X. Dalton Trans. 2015, 44, 20334–20337. doi:10.1039/c5dt04237b
    Return to citation in text: [1]
  52. Scherman, O. A.; Ligthart, G. B. W. L.; Sijbesma, R. P.; Meijer, E. W. Angew. Chem., Int. Ed. 2006, 45, 2072–2076. doi:10.1002/anie.200504192
    Return to citation in text: [1]
  53. Liu, Y.; Wang, Z.; Zhang, X. Chem. Soc. Rev. 2012, 41, 5922. doi:10.1039/c2cs35084j
    Return to citation in text: [1]
Other Beilstein-Institut Open Science Activities