A 2-fold interpenetrating 3D pillar-layered MOF for the gas separation and detection of metal ions

Guoqiang Peng a, Zhibo Su a, Falu Hu *a, Zhenyu Ji b, Zhengyi Di c, Guihua Li a, Tingting Gao a, Guowei Zhou *a and Mingyan Wu *b
aKey Laboratory of Fine Chemicals in Universities of Shandong, Jinan Engineering Laboratory for Multi-Scale Functional Materials, School of Chemistry and Chemical Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, P. R. China. E-mail: faluhu@qlu.edu.cn; gwzhou@qlu.edu.cn
bState Key Laboratory of Structure Chemistry, Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, Fuzhou, 350002, P. R. China. E-mail: wumy@fjirsm.ac.cn
cTianjin Key Laboratory of Structure and Performance for Functional Molecules, College of Chemistry, Tianjin Normal University, Tianjin 300387, P. R. China

Received 13th July 2024 , Accepted 26th September 2024

First published on 1st October 2024


Abstract

A 2-fold interpenetrating 3D pillar-layered MOF, which was assembled from a mixed-linker and paddle-wheel cluster, was successfully synthesized. It possesses good thermal and water stability as well as high selectivity for C2H6 over CH4 and CO2 over N2 under ambient conditions, which was further proved by breakthrough experiments. Moreover, this porous material exhibits good detection of Cu2+, [Co(NH3)6]3+ and Fe3+ in an aqueous solution.


Metal–organic frameworks (MOFs) feature porous structures constructed from metal ions or clusters and organic ligands, showing significant potential in the field of gas storage and separation.1–21 Compared to other solid adsorbents such as active carbon and zeolite, MOFs possess a higher surface area, tuneable pore size and easy function, which makes them more suitable candidates for gas storage and separation. Pillar-layered MOFs act as an important branch of Hofmann clathrates, enriching structural diversity and designability, which usually include two different ligands: oxygen-donor and N-donor ligands.22–35 The introduction of a second ligand may be beneficial for controlling the pore size and enhancing the rigidity of the structure, which could improve the efficiency of gas separation. Recently, some works on gas purification have been reported by our group,36–44 and we now introduce a Hofmann clathrate structure to achieve the purification of gas.

Based on the above consideration, we demonstrate the synthesis and characterization of mixed-ligand-pillar-layered MOF materials with permanent porosity. The new compound utilizes the robust carboxylate paddle-wheel-type coordination of Zn(II) pairs to form 2D layers that are pillared with nearly linear 4,4′-bipyridine linkages to yield a 2-fold mixed-ligand 3D framework. Furthermore, we explore the separation of C2H6 over CH4 and CO2 over N2 using both theoretical calculation and breakthrough experiments. Additionally, we explore the luminescent Zn-MOF for selective recognition of Cu2+, [Co(NH3)6]3+ and Fe3+.

A 2-fold interpenetrating pillar-layered structure with a paddle-wheel SBU was successfully prepared using Zn(NO3)2·6H2O, 4,4′,4′′,4′′′-(thiophene-2,3,4,5-tetrayl)tetrakis(2-fluorobenzoic acid) (H4tbca-4F) and 4,4′-bipyridine (bpy) under solvothermal conditions. It is noted that a new ligand, 4,4′,4′′,4′′′-(1-methyl-1H-pyrrole-2,3,4,5-tetrayl)tetrakis(2-fluorobenzoic acid) (H4mpca-4F) is generated within the structure after the solvothermal reaction, which is determined using ESI-MS and single-crystal X-ray diffraction data (Schemes S3 and S4). The compound can be formulated as Zn2(tbca-4F)0.733(mpca-4F)0.267(4,4′-bipyridine)·2DMF (1). SCXRD analysis revealed that 1 crystallized in the monoclinic space group C2/m. In each asymmetric unit, there are 0.733 tbca-4F and 0.267 mpca-4F ligands, one independent Zn(II) ion and half of coordinating bpy (Fig. S1a). Thus, the metal Zn(II) ions are coordinatively saturated by the tbca-4F, mpca-4F and bpy ligands. In the tbca-4F and mpca-4F ligands, all the four carboxyl groups are fully deprotonated and coordinated to the classical di-nuclear Zn(II) paddlewheel unit, Zn2(COO)4, through bidentate bridging modes. Therefore, on the whole, 1 is electroneutral. Interestingly, the N atoms of 4,4′-bipyridine occupy the axial position to form the Zn2(COO)4N2 unit (Fig. S1b), which is different from those of the terminal molecules coordinating the axial position of the paddle-wheel SBU. Each Zn2+ ion is surrounded by four O atoms from four carboxyl groups and one N atom from the bpy linker, leading to the geometry of the tetragonal pyramid (Fig. S1c). In the fully deprotonated tbca-4F ligand, the angle of the thiophene ring with outer benzene ring is 58.161° and 80.152°, respectively, while the four C atoms from four COO groups are co-planar, resulting in a trapezoidal planar conformation of the tbca-4F ligand. The Zn–O distances are in the range of 1.999–2.114 Å and the Zn–N distance is 2.034 Å.

As shown in Fig. 1, each tbca-4F ligand connects four Zn2 clusters to form a two-dimensional layered structure with three types of windows (A, B, C). The size of one fusiform aperture (A) is 6.3 (S1–S1) × 16.6 Å (Zn1–Zn1) and the sizes of the other two square windows (B, C) are 9.6 × 9.6 and 10.2 × 8.7 Å between benzenes, respectively. Interestingly, the two remaining axial positions of the Zn2(COO)4 unit are occupied by N atoms from the 4,4′-bipyridine linkers, which serve as a pillar between the adjacent 2D layers. Thus, the 2D layers were further connected by pillared linkers to form a 3D pillar-layered structure. The single net shows a 1D channel with the size of a window of 11.1 × 12.1 Å along the b axis. It is noted that the single 3D net is interpenetrated with the other net to form the 2-fold structure for the 4,4′-bipyridine linkers interpenetrating the square windows C (10.2 × 8.7 Å) and the channel of single net (11.1 × 12.1 Å), which is enough large size to accommodate the 4,4′-bipyridine linker and the paddle-wheel cluster (Fig. S2c). As the interpenetrating phenomenon, window C was blocked and meanwhile, along the b-axis, the channels in each single net are also blocked by the other single net, which both contribute to the tuning of the pore/window sizes. On the whole, in the interpenetrating structure, there exist three different kinds of windows, including the above-mentioned A and B windows and one new D window (6.3 × 9.5 Å; S1–S1 and O4–O4), which result from the interpenetration (Fig. S2a). In view of topology, the trapezoidal tbca-4F ligand can be acted as a 4-connected node, the paddlewheel cluster Zn2(COO)4N2 can be simplified as the 6-connected node and the linear 4,4′-bipyridine ligand can be considered as a linker. Thus, the structure of 1 exhibits a 2-nodal 4,6-connected fsc topology network with a point symbol of {44·610·8}{44·62} by using the TOPOS 4.0 program package (Fig. S3).45 The solvent accessible volume in fully evacuated 1 is about 22.9%, which is estimated by PLATON.46 The PXRD of the bulk fresh sample is well matched with that of the simulated, indicating the phase purity of the bulk samples (Fig. S4). To evaluate the stability for practical applications, the thermogravimetric analysis (TGA) and variable-temperature PXRD of the activated sample were carried out. The TGA reveals that the activated sample can be stable up to 280 °C (Fig. S5). The variable-temperature PXRD of the activated sample shows that no obvious changes in the PXRD patterns could be observed even at 180 °C in air atmosphere (Fig. S6). The above results prove that the activated sample 1a possesses good thermal stability. On the other hand, after immersing fresh samples in water and various solvents for 24 h, the PXRD patterns maintained sharp peaks, indicating good water and solvent stabilities (Fig. S7). The high stabilities of 1a encourage us to explore its applications in solutions and solids.


image file: d4dt02024c-f1.tif
Fig. 1 Views of the tbca-4F ligand, paddle-wheel cluster, 2D layer, single net and 2-fold structure.

Considering the pore structure and ultra-high stability, the N2 adsorption isotherm was collected to confirm the permanent porosity of 1a at 77 K and 1 bar. Before the gas adsorption experiment, the activated sample was obtained by soaking the fresh sample in MeOH for 3 days and are then heated at 80 °C for 10 h in the dynamic high vacuum. The N2 adsorption isotherm shows a typical type-I adsorption behaviour, indicating the microporous nature of 1a. The maximal adsorption capacity is 131.5 cm3 g−1 with an estimated BET surface area of 446 m2 g−1 (Fig. S8). Single-component gas sorption isotherms were collected on the equipment of 3-Flex. The results exhibited 25.5 cm3 g−1 as an adsorption amount of C2H6, while the CH4 adsorption amount was only 10.5 cm3 g−1 under 298 K and 1 bar (Fig. 2a). Their adsorption amount difference and C2H6/CH4 uptake ratio are 15 cm3 g−1 and 243%, respectively. More interestingly, the activated sample saturates with C2H6 at lower pressures and the slope of the C2H6 adsorption isotherm is much steeper than that of CH4 indicating the stronger affinity between C2H6 and the pore surfaces. Besides, the adsorption isosteric heat (Qst) is calculated by using the Clausius–Clapeyron equation based on the gas adsorption data measured at 273 K and 298 K. The Qst value for C2H6 is 24.38 kJ mol−1, which is much higher than that of CH4 (16.72 kJ mol−1), further confirming the stronger framework–C2H6 interaction (Fig. S10). Such difference in adsorption amounts and the framework–gas interactions for C2H6 and CH4 indicates that 1a may enable highly selective separations for C2H6 from CH4. Subsequently, the ideal adsorbed solution theory (IAST) was used to predict the selectivity of binary C2H6/CH4 (molar ratios: 15[thin space (1/6-em)]:[thin space (1/6-em)]85) based on single-component adsorption data fitting using the dual-site Langmuir Freundlich (DSLF) equation at 298 K. As anticipated, the selectivity of 1a between C2H6 and CH4 is high, up to 128.5 at the low-pressure regions and decreases to 77.6 at 298 K and 1 bar (Fig. 2b), which is higher than that reported for most adsorbents such as DMOF-(CF3)2 (15),47 MIL-126(Fe/Co) (13.2),48 JUC-220 (46),49 LIFM-W2 (19),50 BSF-1 (23),51 SBMOF-1(74),52 GNU-1a (17.5),53 DMOF-Cl (12.5),54 HOF-ZJU-201a (45) and HOF-ZJU-202a (36),55 Ni(HBTC)(bipy) (27.5)56 and SNNU-Bai78 (40)57 (Table S3). Furthermore, the good selectivity of C2H6/CH4 was also proved by the breakthrough experiment (Fig. 2c). In addition, the single-component gas sorption isotherms of CO2 and N2 are also performed at 273 K and 298 K under 1 bar. The experiments revealed that the CO2 uptake amount (25.0 cm3 g−1) of 1a is much higher than that of N2 (2.7 cm3 g−1) at 298 K and 1 bar (Fig. 3a), resulting an adsorption amount difference of 22.3 cm3 g−1, and an CO2/N2 uptake ratio of 926%. Considering the large different adsorption amount and uptake ratio, we calculated the selectivity of binary mixtures of CO2/N2 (molar ratios: 15[thin space (1/6-em)]:[thin space (1/6-em)]85) at 298 K by IAST. The calculated selectivity of CO2/N2 is up to 34.0 at 298 K and 1 bar (Fig. 3b), which is higher than that reported for HBU-23 (28.4),58 Eu-MOF (28.7),59 UPC-70 (32),60 SIFSIX-2-Cu (13.7),61 ZIF-300 (22),62 BUT-10 (18.6),63 NU-1000 (8),64 LIFM-10 (18.3),65 MOF-5 (9)66 and MOC-QW-3-NH2 (23)67 (Table S4). Additionally, the Qst value for CO2 (23.99 kJ mol−1) is higher than that of N2 (16.03 kJ mol−1), indicating a stronger framework–CO2 interaction (Fig. S11). Meanwhile, the good selectivity of CO2/N2 is further proved by the breakthrough experiment (Fig. 3c). The good selectivities of C2H6/CH4 and CO2/N2 may be ascribed to the pore structure and the extent of interactions between the gas molecules and host framework. The above results indicate that 1a may be a potential candidate for gas purification processes.


image file: d4dt02024c-f2.tif
Fig. 2 Sorption isotherms of 1a for C2H6 and CH4 at 298 K and 273 K (a), IAST selectivity (b) and (c) breakthrough experiment of C2H6/CH4 (15[thin space (1/6-em)]:[thin space (1/6-em)]85) at 298 K.

image file: d4dt02024c-f3.tif
Fig. 3 Sorption isotherms of 1a for CO2 and N2 at 298 K and 273 K (a), IAST selectivity (b) and (c) breakthrough experiment of CO2/N2 (15[thin space (1/6-em)]:[thin space (1/6-em)]85) at 298 K.

Additionally, luminescent Zn-MOFs as probes for the detection of metal ions have received more and more attention because of their high sensitivity and high selectivity.68–75 The solid state photoluminescence of 1a was explored and it showed a high peak at 435 nm upon excitation at 365 nm and room temperature (Fig. S12). Considering the porosity, water stability and luminescent performance of 1a, we explored the capability of 1a in sensing selected metal ions. Luminescence-based sensing experiments for selected metal cations were performed in an aqueous solution. 30 mg of the activated sample was soaked in 50 ml water and then ultrasonicated for 2 hours and aged for 30 min. We took 3 ml of the suspension to carry out the luminescence. After adding 100 μl of the 0.01 M metal ion aqueous solution, photoluminescence spectra were collected immediately. As shown in Fig. 4, if the luminescence intensity of 1a in water solution was selected as the baseline, the metal ions exhibited different quenching or enhancing phenomena. Most metal ions such as Zn2+, Co2+, Ni2+, Ag+, and Fe2+, showed slight fluorescence intensity variation. However, Cu2+, [Co(NH3)6]3+ and Fe3+ ions show significantly higher effects. Especially for Fe3+ ion, the quenching level is about 95.1%.


image file: d4dt02024c-f4.tif
Fig. 4 (a) The maximum intensities of 1a after adding 100 μL 0.01 M and (b) the PL spectra of M(NO3)x, FeSO4 and [Co(NH3)6]Cl loaded suspension of 1a. Quenching percentage: Cu2+: 60.3%; [Co(NH3)6]3+:77.8%; Fe3+: 95.1%.

The above results indicate that 1a is an especially effective sensor for detecting Fe3+ ions.

In order to explore the possible quenching mechanisms for Cu2+ and Fe3+ ions, we first tested the PXRD patterns of samples treated with Cu2+/Fe3+ ions. As shown in Fig. S13, the treated samples exhibited robust PXRD diffraction peaks, which excluded the collapse of the framework. Secondly, the UV-vis absorption spectra of Fe3+ ions show overlaps with the excitation and emission spectra of the Zn-MOF, suggesting that the quenching effect could be induced by competitive absorption of the excitation energy as well as fluorescence resonance energy transfer (FRET) between 1a and Fe3+ ions (Fig. S14). Compared with Fe3+ ions, there is negligible overlap between the UV-vis absorption spectrum of Cu2+ ion and the excitation and emission spectra of 1a, which rules out the energy absorption competition and energy transfer mechanisms (Fig. S14). Lastly, we carry out the X-ray photoelectron spectroscopy (XPS) spectra for the original sample and treated sample. Compared with the original sample, the Cu 2p and Fe 2p peaks are observed for the sample treated with Cu2+/Fe3+ ions, respectively, indicating the existence of weak interactions between Cu2+/Fe3+ ions and the framework (Fig. S15). Furthermore, the high-resolution XPS spectra show that the S 2p peaks are shifted to higher binding energy after treatment with Cu2+/Fe3+ ions, implying an electron transfer from S to Cu2+/Fe3+ ions (Fig. S16). Therefore, the quenching mechanisms for Cu2+ could be attributed to electron transfer caused by weak interactions between the Cu2+ and tcba-4F ligand, while the quenching mechanisms for Fe3+ could be explained due to the synergistic effects of weak interactions, competitive absorption and FRET mechanism between Fe3+ and the whole framework.76,77

In summary, a 2-fold robust 3D pillar-layered Zn-MOF with the (4,6)-connected fsc-topology was successfully fabricated by using mixed ligands and a Zn2 cluster. TGA and PXRD experiments prove that the activated sample possesses good thermal and water/solvent stability. More importantly, the activated sample exhibits high selective separation of C2H6/CH4 (77.6, molar ratios: 15/85) and CO2/N2 (34, molar ratios: 15/85) at 298 K and 1 bar. On the other hand, the porous structure can selectively detect Cu2+, [Co(NH3)6]3+ and Fe3+ ions. The results of our work will shed light on the rational design and synthesis of new robust multifunctional MOF materials for the separation of gases and detection of metal ions in the future.

Data availability

The data supporting this article have been included as part of the ESI. Crystallographic data have been deposited at the CCDC under the accession number 2369823 and can be obtained from the CCDC website.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (no. 22201151), the Natural Science Foundation of Shandong Province (ZR2021QB078), and the Foundation of Qilu University of Technology (Shandong Academy of Sciences) Science Education Industry Integration Pilot Basic Research Project (2023PY013 and 2023PY038).

Notes and references

  1. J. R. Li, R. J. Kuppler and H. C. Zhou, Chem. Soc. Rev., 2009, 38, 1477–1504 RSC.
  2. H. Wu, Q. Gong, D. H. Olson and J. Li, Chem. Rev., 2012, 112, 836–868 CrossRef CAS PubMed.
  3. S. Yao, D. Wang, Y. Cao, G. Li, Q. Huo and Y. Liu, J. Mater. Chem. A, 2015, 3, 16627–16632 RSC.
  4. H. Li, K. Wang, Y. Sun, C. T. Lollar, J. Li and H.-C. Zhou, Mater. Today, 2018, 21, 108–121 CrossRef CAS.
  5. X. Zhao, Y. Wang, D. S. Li, X. Bu and P. Feng, Adv. Mater., 2018, 30, 1705189 CrossRef.
  6. B. R. Barnett, M. I. Gonzalez and J. R. Long, Trends Chem., 2019, 1, 159–171 CrossRef CAS.
  7. R.-B. Lin, S. Xiang, H. Xing, W. Zhou and B. Chen, Coord. Chem. Rev., 2019, 378, 87–103 CrossRef CAS.
  8. D.-X. Xue, Q. Wang and J. Bai, Coord. Chem. Rev., 2019, 378, 2–16 CrossRef CAS.
  9. W. G. Cui, T. L. Hu and X. H. Bu, Adv. Mater., 2020, 32, 1806445 CrossRef CAS.
  10. J. Li, P. M. Bhatt, J. Li, M. Eddaoudi and Y. Liu, Adv. Mater., 2020, 32, e2002563 CrossRef.
  11. R.-B. Lin, S. Xiang, W. Zhou and B. Chen, Chem, 2020, 6, 337–363 CAS.
  12. H. Wang, Y. Liu and J. Li, Adv. Mater., 2020, 32, 2002603 CrossRef CAS.
  13. W. Fan, X. Zhang, Z. Kang, X. Liu and D. Sun, Coord. Chem. Rev., 2021, 443, 213968 CrossRef CAS.
  14. D. Wu, P.-F. Zhang, G.-P. Yang, L. Hou, W.-Y. Zhang, Y.-F. Han, P. Liu and Y.-Y. Wang, Coord. Chem. Rev., 2021, 434, 213709 CrossRef CAS.
  15. K. Chen, S. H. Mousavi, R. Singh, R. Q. Snurr, G. Li and P. A. Webley, Chem. Soc. Rev., 2022, 51, 1139–1166 RSC.
  16. A. Ebadi Amooghin, H. Sanaeepur, R. Luque, H. Garcia and B. Chen, Chem. Soc. Rev., 2022, 51, 7427–7508 RSC.
  17. S.-Q. Yang, L. Zhou, B. Xing, Y.-H. Zhang and T.-L. Hu, Chin. J. Struct. Chem., 2023, 42, 100004 CrossRef.
  18. H. Yang, L. Xue, X. Yang, H. Xu and J. Gao, Chin. J. Struct. Chem., 2023, 42, 100034 CrossRef.
  19. X. Mu, Y. Xue, M. Hu, P. Zhang, Y. Wang, H. Li, S. Li and Q. Zhai, Chin. Chem. Lett., 2023, 34, 107296 CrossRef CAS.
  20. K. Jiang, Y. Gao, P. Zhang, S. Lin and L. Zhang, Chin. Chem. Lett., 2023, 34, 108039 CrossRef CAS.
  21. Z. Di, X. Zheng, Q. Yu, H. Yuan and C.-P. Li, Chin. J. Struct. Chem., 2022, 41, 2211031–2211044 CAS.
  22. F. ZareKarizi, M. Joharian and A. Morsali, J. Mater. Chem. A, 2018, 6, 19288–19329 RSC.
  23. Y. Ye, J. Du, L. Sun, Y. Liu, S. Wang, X. Song and Z. Liang, Dalton Trans., 2020, 49, 1135–1142 RSC.
  24. K. Vellingiri, A. Deep and K. H. Kim, ACS Appl. Mater. Interfaces, 2016, 8, 29835–29857 CrossRef CAS.
  25. Z.-P. Ni, J.-L. Liu, M. N. Hoque, W. Liu, J.-Y. Li, Y.-C. Chen and M.-L. Tong, Coord. Chem. Rev., 2017, 335, 28–43 CrossRef CAS.
  26. K. Otsubo, T. Haraguchi and H. Kitagawa, Coord. Chem. Rev., 2017, 346, 123–138 CrossRef CAS.
  27. T. Delgado, M. Meneses-Sanchez, L. Pineiro-Lopez, C. Bartual-Murgui, M. C. Munoz and J. A. Real, Chem. Sci., 2018, 9, 8446–8452 RSC.
  28. C. Yu, X. Sun, L. Zou, G. Li, L. Zhang and Y. Liu, Inorg. Chem., 2019, 58, 4026–4032 CrossRef CAS PubMed.
  29. G. F. Hua, X. J. Xie, W. Lu and D. Li, Dalton Trans., 2020, 49, 15548–15559 RSC.
  30. D. C. Mayer, J. K. ZarÈ©ba, G. Raudaschl-Sieber, A. Pöthig, M. Chołuj, R. Zaleśny, M. Samoć and R. A. Fischer, Chem. Mater., 2020, 32, 5682–5690 CrossRef CAS.
  31. X. J. Gao and H. G. Zheng, Dalton Trans., 2021, 50, 9310–9316 RSC.
  32. A. Lancheros, S. Goswami, M. R. Mian, X. Zhang, X. Zarate, E. Schott, O. K. Farha and J. T. Hupp, Dalton Trans., 2021, 50, 2880–2890 RSC.
  33. D. J. O'Hearn, A. Bajpai and M. J. Zaworotko, Small, 2021, 17, e2006351 CrossRef PubMed.
  34. J. Ha, M. Jung, J. Park, H. Oh and H. R. Moon, ACS Appl. Mater. Interfaces, 2022, 14, 30946–30951 CrossRef CAS PubMed.
  35. J. Pei, X. W. Gu, C. C. Liang, B. Chen, B. Li and G. Qian, J. Am. Chem. Soc., 2022, 144, 3200–3209 CrossRef CAS PubMed.
  36. F. Hu, C. Liu, M. Wu, J. Pang, F. Jiang, D. Yuan and M. Hong, Angew. Chem., Int. Ed., 2017, 56, 2101–2104 CrossRef CAS.
  37. F. Hu, P. Huang, Z. Di, M. Wu, F. Jiang and M. Hong, Chem. Commun., 2019, 55, 10257–10260 RSC.
  38. F. Hu, Z. Di, M. Wu, M. Hong and J. Li, Cryst. Growth Des., 2019, 19, 6381–6387 CrossRef CAS.
  39. F. Hu, Z. Di, M. Wu and J. Li, Dalton Trans., 2020, 49, 8836–8840 RSC.
  40. Z. Di, C. Liu, J. Pang, C. Chen, F. Hu, D. Yuan, M. Wu and M. Hong, Angew. Chem., Int. Ed., 2021, 60, 10828–10832 CrossRef CAS.
  41. H. Li, Z. Ji, C. Chen, Z. Di, Y. Liu and M. Wu, Cryst. Growth Des., 2021, 21, 2277–2282 CrossRef CAS.
  42. H. Li, C. Liu, C. Chen, Z. Di, D. Yuan, J. Pang, W. Wei, M. Wu and M. Hong, Angew. Chem., Int. Ed., 2021, 60, 7547–7552 CrossRef CAS PubMed.
  43. Z. Di, C. Liu, J. Pang, S. Zou, Z. Ji, F. Hu, C. Chen, D. Yuan, M. Hong and M. Wu, Angew. Chem., Int. Ed., 2022, 61, e202210343 CrossRef CAS.
  44. S. Zou, Z. Di, H. Li, Y. Liu, Z. Ji, H. Li, C. Chen, M. Wu and M. Hong, Inorg. Chem., 2022, 61, 7530–7536 CrossRef CAS.
  45. V. A. Blatov, A. P. Shevchenko and D. M. Proserpio, Cryst. Growth Des., 2014, 14, 3576–3586 CrossRef CAS.
  46. A. L. Spek, J. Appl. Crystallogr., 2003, 36, 7–13 CrossRef CAS.
  47. L. Yan, H. T. Zheng, L. Song, Z. W. Wei, J. J. Jiang and C. Y. Su, ACS Appl. Mater. Interfaces, 2024, 16, 6579–6588 CrossRef CAS.
  48. Y. Wang, X. Zhao, S. Han and Y. Wang, ACS Appl. Mater. Interfaces, 2024, 16, 10468–10474 CrossRef CAS.
  49. X. Shi, Y. Zu, X. Li, T. Zhao, H. Ren and F. Sun, Nano Res., 2023, 16, 10652–10659 CrossRef CAS.
  50. W. Wang, X. H. Xiong, N. X. Zhu, Z. Zeng, Z. W. Wei, M. Pan, D. Fenske, J. J. Jiang and C. Y. Su, Angew. Chem., Int. Ed., 2022, 61, e202201766 CrossRef CAS.
  51. Y. Zhang, L. Yang, L. Wang, S. Duttwyler and H. Xing, Angew. Chem., Int. Ed., 2019, 58, 8145–8150 CrossRef CAS PubMed.
  52. A. M. Plonka, X. Chen, H. Wang, R. Krishna, X. Dong, D. Banerjee, W. R. Woerner, Y. Han, J. Li and J. B. Parise, Chem. Mater., 2016, 28, 1636–1646 CrossRef CAS.
  53. S. M. Li, H. C. Jiang, Q. L. Ni, L. C. Gui and X. J. Wang, Dalton Trans., 2023, 52, 9655–9663 RSC.
  54. Z. Song, Y. Zheng, Y. Chen, Y. Cai, R. J. Wei and J. Gao, Dalton Trans., 2023, 52, 15462–15466 RSC.
  55. Y. Liu, Q. Xu, L. Chen, C. Song, Q. Yang, Z. Zhang, D. Lu, Y. Yang, Q. Ren and Z. Bao, Nano Res., 2022, 15, 7695–7702 CrossRef CAS.
  56. P. Guo, M. Chang, T. Yan, Y. Li and D. Liu, Chin. J. Chem. Eng., 2022, 42, 10–16 CrossRef CAS.
  57. H. Cheng, Q. Wang, L. Meng, P. Sheng, Z. Zhang, M. Ding, Y. Gao and J. Bai, ACS Appl. Mater. Interfaces, 2021, 13, 40713–40723 CrossRef CAS.
  58. S.-Q. Gang, Z.-Y. Liu, Y.-N. Bian, R. Wang and J.-L. Du, Sep. Purif. Technol., 2024, 335, 126153 CrossRef CAS.
  59. W.-M. Liao, M.-J. Wei, J.-T. Mo, P.-Y. Fu, Y.-N. Fan, M. Pan and C.-Y. Su, Dalton Trans., 2019, 48, 4489–4494 RSC.
  60. X. Wang, Y. Wang, K. Lu, W. Jiang and F. Dai, Chin. Chem. Lett., 2021, 32, 1169–1172 CrossRef CAS.
  61. P. Nugent, Y. Belmabkhout, S. D. Burd, A. J. Cairns, R. Luebke, K. Forrest, T. Pham, S. Ma, B. Space, L. Wojtas, M. Eddaoudi and M. J. Zaworotko, Nature, 2013, 495, 80–84 CrossRef CAS.
  62. N. T. Nguyen, H. Furukawa, F. Gandara, H. T. Nguyen, K. E. Cordova and O. M. Yaghi, Angew. Chem., Int. Ed., 2014, 53, 10645–10648 CrossRef CAS PubMed.
  63. B. Wang, H. Huang, X. L. Lv, Y. Xie, M. Li and J. R. Li, Inorg. Chem., 2014, 53, 9254–9259 CrossRef CAS PubMed.
  64. R. J. Li, M. Li, X. P. Zhou, D. Li and M. O'Keeffe, Chem. Commun., 2014, 50, 4047–4049 RSC.
  65. Y. Xiong, Y. Z. Fan, R. Yang, S. Chen, M. Pan, J. J. Jiang and C. Y. Su, Chem. Commun., 2014, 50, 14631–14634 RSC.
  66. N. Ding, H. Li, X. Feng, Q. Wang, S. Wang, L. Ma, J. Zhou and B. Wang, J. Am. Chem. Soc., 2016, 138, 10100–10103 CrossRef CAS.
  67. L.-Z. Qin, X.-H. Xiong, S.-H. Wang, L.-L. Meng, T.-A. Yan, J. Chen, N.-X. Zhu, D.-H. Liu and Z.-W. Wei, Inorg. Chem., 2021, 60, 17440–17444 CrossRef CAS.
  68. S. Kamal, M. Khalid, M. S. Khan and M. Shahid, Coord. Chem. Rev., 2023, 474, 214859 CrossRef CAS.
  69. K. Arya, A. Kumar, S. Mehra, Divya, A. Kumar, S. Kumar Mehta and R. Kataria, Sep. Purif. Technol., 2023, 307, 122551 CrossRef CAS.
  70. G. L. Yang, X. L. Jiang, H. Xu and B. Zhao, Small, 2021, 17, e2005327 CrossRef PubMed.
  71. J. Jin, J. Xue, Y. Liu, G. Yang and Y. Y. Wang, Dalton Trans., 2021, 50, 1950–1972 RSC.
  72. S. A. A. Razavi and A. Morsali, Coord. Chem. Rev., 2020, 415, 213299 CrossRef CAS.
  73. B. B. Rath and J. J. Vittal, Inorg. Chem., 2020, 59, 8818–8826 CrossRef CAS PubMed.
  74. A. Mandal, A. Adhikary, A. Sarkar and D. Das, Inorg. Chem., 2020, 59, 17758–17765 CrossRef CAS PubMed.
  75. S. K. Panda, S. Mishra and A. K. Singh, Dalton Trans., 2021, 50, 7139–7155 RSC.
  76. Y. Du, H. Yang, R. Liu, C. Shao and L. Yang, Dalton Trans., 2020, 49, 13003–13016 RSC.
  77. J. Pang, R. Du, X. Lian, Z.-Q. Yao, J. Xu and X. Bu, Chin. Chem. Lett., 2021, 32, 2443–2447 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available: Crystallographic data, additional figures and tables. CCDC 2369823. For ESI and crystallographic data in CIF or other electronic format see DOI: https://doi.org/10.1039/d4dt02024c

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