Open Access Article
Zhao-Di Zhoua,
Shi-Qi Lia,
Yin Liua,
Bin Duc,
Yuan-Yue Shena,
Bao-Yi Yu
*a and
Chong-Chen Wang*b
aKey Laboratory of Urban Agriculture (North China), Ministry of Agriculture, College of Biological Sciences Engineering, Beijing University of Agriculture, Beijing, 102206, P.R. China. E-mail: yubaoyi123@hotmail.com
bBeijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, 100044, P.R. China
cBeijing Key Laboratory of Agricultural Product Detection and Control of Spoilage Organisms and Pesticide Residue, Faculty of Food Science and Engineering, Beijing University of Agriculture, Beijing, Beijing 102206, P.R. China
First published on 9th March 2022
Two organometallic complexes with two and three-dimensional architectures were constructed by using multiple ligands and Zn(II) ions: [Zn3(BTC)2(DTP)4(H2O)2]·(H2O)4 (Zn-1) (BTC = benzene-1,3,5-tricarboxylic acid and DTP = 3,5-di(1,2,4-triazol-1-yl)pyridine) and [Zn2(NTD)2(DTP)] (Zn-2) (NTD = 1,4-naphthalenedicarboxylic acid). The as-prepared complexes were characterized by single-crystal X-ray diffraction (SCXRD), elemental analysis, powder X-ray diffraction (PXRD), Fourier transform infrared spectroscopy (FT-IR), thermogravimetric analysis (TGA) and fluorescence analysis. Fluorescence sensing tests revealed that the two complexes are effective, sensitive and selective toward cationic Fe3+ and anionic MnO4− and Cr2O72−. During the antibiotic sensing process, cefixime (CFX) for Zn-1 and nitrofurantoin (NFT) for Zn-2 exhibited the highest quenching efficiencies. For sensing pesticides, the highest quenching efficiencies were exhibited by imidacloprid (IMI) toward Zn-1 and Zn-2. The fluorescence quenching of the complexes that was induced by antibiotics, pesticides and MnO4− was attributed to both the inner filter effect (IFE) and the fluorescence resonance energy transfer (FRET) effect.
Antibiotics are vital drugs that are effective against and prevent bacterial infection.6,7 To date, hundreds of antibiotics have been commercialized and applied in human disease treatment, aquaculture and husbandry.8–10 Antibiotics are excessively abused in and discharged from livestock and poultry, and superfluous residuals overflow from aquaculture production.11,12 Occasionally, wastewater is directly discharged into or improperly treated in the aquatic system. All of these factors can cause severe antibiotic resistance and even ‘superbacteria’ breeding in the environment.13,14 Similarly, pesticide pollutants, which are another class of typical poisonous organic pollutants, attract tremendous attention in pollution monitoring.15 Although pesticides are widely used and greatly contribute to yield in modern agriculture, pesticide residues in agricultural production or in agricultural runoff and drainage are continuous hazards, which may threaten the environment and human health via direct digestion or bioaccumulation alongside food chains.16 Current detection methods are commonly based on expensive and complicated apparatuses these methods include ion mobility spectrometry, atomic absorption spectrometry (AAS), gas chromatography (GC), high-performance liquid chromatography (HPLC), and liquid chromatography-tandem mass spectrometry (LC-MS).17–20
Recently, metal–organic frameworks (MOFs), which are a novel type of porous crystalline material, have been self-assembled by using metal centers or metal clusters and organic linkers to construct periodic networks, and they have attracted tremendous research interest.21–23 MOFs demonstrate a broad range of unique properties, such as tunable porosity, adjustable architecture, large surface area, superstability, and various metal sources, which enable MOFs to be extensively explored and applied in gas storage,24 catalysis,25 drug delivery,26 magmatic materials,27 pollutant removal,28 and electronic and fluorescence sensing.29 Many studies have focused on luminescent metal–organic frameworks (LMOFs).30,31 As a subfamily of MOFs, LMOFs have been widely explored based on their prominent optical properties and used in many fields, such as the detection of metal cations,32–35 anions,5,36,37 solvents,38,39 volatiles,40 antibiotics,41–45 pesticides,46–48 nitro-containing compounds,49–53 pH,54 amino acids,55 and other organic molecules.30,31 During these processes, LMOFs displayed the great advantages of simplified equipment, fast response time, high selectivity and sensitivity, recyclability and ease of use.31 To date, fluorescence sensing progress with LMOFs has been due mainly to fluorescence turn-on,33,56 fluorescence turnoff or fluorescence shifts.28,46,57 Fluorescence turnoff, or fluorescence quenching, in most cases, is based on material transformation,58,59 electron transfer57 and/or energy competition/transfer mechanisms.28,46 Among the LMOFs, luminescence source emissions that are based on lanthanide cores are interesting due to the inherent narrow band luminescence, long lifetime, and large Stokes shift.60 In addition to lanthanide LMOFs, d-block LMOFs have been reported more recently as promising fluorescence sensors. Among them, d10 configuration metals, especially Zn2+-based LMOFs, have excellent fluorescence capabilities and are considered to be good choices as fluorescence sensing materials.61–64 A common LMOF is constructed from carboxylic groups containing ligands and/or N-donor ligands (pyridines or imidazole groups, etc).65 During a photoluminescent process, organic ligands often function as ‘antennae’ to absorb incoming light thereafter, the interaction with metal centers or other auxiliary ligands affects the direct intrinsic emission properties, thereby producing a distinct luminescence spectrum of the LMOF.66 The combination of the two types of ligands may enhance the advantages of both components and enrich the coordination environments of the center ions of the MOFs, thereby producing various novel topologies and fascinating fluorescence properties.21
Based on the above considerations, we devoted our efforts to the rational design of wonderful architectures of LMOF materials and explored the possible effects on their structural and fluorescence properties. In this context, two 2D and 3D Zn-based bisligand coordinated complexes were synthesized: Zn-1, [Zn3(BTC)2(DTP)4(H2O)2]·(H2O)4 (BTC = benzene-1,3,5-tricarboxylic acid and DTP = 3,5-di(1,2,4-triazol-1-yl)pyridine) and Zn-2, [Zn2(NTD)2(DTP)] (NTD = 1,4-naphthalenedicarboxylic acid). Furthermore, the structural information of the two complexes was evaluated by single-crystal X-ray diffraction (XRD), elemental analysis, powder X-ray diffraction (PXRD), infrared spectroscopy and thermogravimetric analysis (TGA). Their fluorescence properties and fluorescence sensing capabilities toward cations, anions, and selected antibiotics and pesticides were also explored. Fluorescence sensing tests revealed that the two complexes were effective, sensitive and selective toward Fe3+ among the cations and MnO4− and Cr2O72− among the anions. During the antibiotic sensing process, cefixime (CFX) for Zn-1 and nitrofurantoin (NFT) for Zn-2 exhibited the highest quenching rates. For sensing pesticides, the highest quenching efficiencies were exhibited by imidacloprid (IMI) for both Zn-1 and Zn-2. The fluorescence quenching of the complexes that was induced by the ions, antibiotics and pesticides in this research was due to both the inner filter effect (IFE) and the fluorescence resonance energy transfer (FRET) effect.
Powder X-ray diffraction (PXRD) measurements were performed using a Bruker-avance X-ray diffractometer equipped with a Cu-target tube and a graphite monochromator scanning over the range of 5–50° at the rate of 0.2° s−1. The simulated X-ray diffraction patterns were generated from proper treated Cif files of the related complexes crystals by using the Mercury software. A model METTLER TOLEDO 1600 TH thermal analyzer was used to record TG curves at a heating rate of 10 °C min−1 over the temperature ranging from r. t. to 800 °C in a flowing nitrogen atmosphere of 10 mL min−1 using platinum crucibles. Elemental analyses for C, H, and N were carried out using a PerkinElmer 240 CHN elemental analyzer. The Fourier transform infrared (FT-IR) spectra were obtained using an Agilent Cary630 spectrophotometer in the range of 4000 to 500 cm−1. UV-vis spectroscopic studies were carried out using a Varian UV50 Conc spectrophotometer. All luminescence measurements were performed using an Agilent Cary Eclipse fluorescence spectrophotometer at r. t.
A summary of the crystallographic data and refinement parameters is provided in Table S1 (see the ESI†).
For Zn-1, BTC (0.0029 g) and water (5 mL) were used (0.0085 g, yield: 68.9%). Anal. elemental analysis calculated for C54H46N28O18Zn3 (wt%): C, 41.28% H, 2.95% N, 24.96% found: C, 41.68% H, 2.82% N, 24.82% IR (neat, ν cm−1): 3114(bs), 1612(s), 1560(s), 1418(s), 1346(s), 1278(s), 1210(s), 1233(s), 990(s), 973(s), 893(s), 788(s), 751(s), 732(s), 691(s), 667(s), 639 (s), 537(s).
For Zn-2, 1,4-naphthalenedicarboxylic acid (NTD) (0.0051 g) and acetonitrile (2.5 mL), water (2.5 mL) were used (0.0063 g, yield: 60%). Anal. elemental analysis (EA) for C33H19N7O8Zn2 (wt%): C, 51.32% H, 2.48% N, 12.70% found: C, 51.52% H, 2.67% N, 12.83% IR (neat, ν cm−1): 3084(bs), 1585(s), 1600(s), 1534(s), 1467(s), 1411(s), 1353(s), 1262(s), 1213(s), 1137(s), 975(s), 904(s), 848(s), 788(s), 686(s), 669(s), 641(s), 576(s).
The used analytes include the following: cations (2 mM): MCl1-3 (M = K+, Na+, Mg2+, Ca2+, Ni2+, Co2+, Mn2+, Cu2+, Fe2+, Zn2+, Cd2+, Pb2+, Ba2+, Al3+, Cr3+, La3+ and Fe3+) anions (2 mM): K1-2X (X = F−, Cl−, Br−, I−, Ac−, SCN−, NO3−, ClO3−, ClO4−, MnO4−, HPO42−, H2PO4−, CO32−, B4O72−, SO32−, SO42− and Cr2O72−) antibiotics (0.2 mM): lactams (penicillin V potassium, PVK; benzylpenicillin potassium, PK; amoxicillin, AML; cefixime, CFX), aminoglycosides (gentamicin, GTM; kanamycin KNM; tobramycin, TOB; streptomycin, SM), chloramphenicols (chloramphenicol, CAP; thiamphenicol, TAP), macrolides (roxithromycin, ROX; azithromycin, AZM), nitrofurans (nitrofurazone, NFZ; nitrofurantoin, NFT), nitroimidazoles (metronidazole, MNZ; 1,2-dimethyl-5-nitroimidazole, DMZ) and sulfonamides (sulfamethazine, SMZ) and pesticides (0.2 mM): (dipterex, DIP; pentachloro-nitrobenzene, PCNB; imazalil, IMZ; glyphosate, GLY; chlorothalonil, TPN; carbendazim, CAR; 2.4-dichlorophenoxyacetic acid, 2,4-D; imidacloprid, IMI; metamitron, MMT; thiophanate-methyl, TPM and nitenpyram, NTP).
For the antibiotics (CFX and NFT), a series of antibiotic solutions at various concentrations (0, 0.001, 0.005, 0.01, 0.02, 0.04, 0.05, 0.06, 0.08, 0.09, 0.1, 0.2, 0.3, 0.4, 0.5 and 0.6 mM) were prepared. Luminescence measurements were performed by the addition and stirring of every analyte's solution (1.5 mL) with a 0.2 mg mL−1 Zn-complex suspension (1.5 mL).
(no. 2) and Zn-2 crystallized in the orthorhombic space P212121 (no. 19), respectively. Selected bond lengths and bond angles for Zn-1 and Zn-2 are listed in Tables S2 and S3.†
Fig. 1a shows that the asymmetric unit of Zn-1 includes one and a half Zn(II) ions, one coordinated and two lattice water molecules, two DTP ligands and one fully deprotonated BTC3− ligand. The Zn(II)1 ion is six-ligated with two carboxylic oxygen atoms from BTC2− ligands, two oxygen atoms from coordinated water molecules and another two nitrogen atoms from DTP ligands. The coordination environment enables Zn(II)1 to form an octahedral coordination geometry. The Zn(II)2 ion is four-coordinated with a tetrahedral geometry that is constructed by two oxygen atoms from two carboxylic groups in the BTC2− ligands and two nitrogen atoms from two DTP ligands. The DTP ligands adopt two coordination modes: as a terminal ligand that is coordinated with a Zn(II)1 ion and as a bridge between two Zn(II)2 ions to form a 1D chain alongside the b-axis (Fig. 1b and d). The BTC2− ligand, which adopts a μ3-η1: η1: η1 coordination mode, links one Zn(II)1 and two Zn(II)2 ions to generate a ladder-like 1D chain along the a-axis. Finally, an interconnected double-layer 2D network is created parallel to the ab-plane (Fig. 1c). Zn-1 exhibits large channels that run along the a-axis and b-axis. To reduce the pore voids, a 2-fold interpenetrating network is fabricated (Fig. 1e). The 2D network can be simplified as a 2-nodal (3,4)-connected new topology with the point symbol {63}{65 · 8}.75
Fig. 2a exhibits the asymmetric unit of Zn-2 with two Zn(II) ions, one DTP and fully deprotonated NTD2− ligands. As shown in the figure, the Zn(II)1 ion possesses a deformed tetragonal bipyramidal geometry (red polyhedron) in which the center ion is ligated with five carboxylic oxygen atoms from three NTD2− ligands and one pyridyl nitrogen atom from DTP ligand. The Zn(II)2 ion adopts a four-coordination to form a distorted tetrahedral configuration (blue polyhedron) that is constructed by three oxygen atoms from three NTD2− ligands and one nitrogen atom from the triazolyl moiety of the DTP ligand. The adjacent Zn(II)1 ions are linked together by two carboxylate groups from NTD2− ligands to form infinite 1D chains that run along the a-axis with a Zn⋯Zn distance of 3.934(4) Å. Nevertheless, the nearby Zn(II)2 ions are bridged together by one carboxylic group from the NTD2− ligand to generate paddle wheel-like 1D chains that are also directed toward the a-axis (Fig. 2b and c). The two crystallographically independent NTD2− ligands adopt different coordination modes: one NTD2− ligand connects two Zn(II)1 and two Zn(II)2 ions along the b-axis to form the (κ1–κ2)–(κ1–κ1)-μ4 coordination mode the other NTD2− ligand links two Zn(II)1 ions and one Zn(II)2 ion oriented toward the c-axis in the (κ1–κ1)–(κ1–κ0)-μ3 bridging mode. Next, the DTP ligand bridges two Zn(II) ions (Zn(II)1 and Zn(II)2). In the direction of the a-axis, the DTP and NTD2− ligands alternatively connect the two metal chains. Finally, the metal chains and the NTD2− and DTP linkers build a 3D framework (Fig. 2d). Topologically, Zn-2 can be viewed as a 4-nodal (3,4,4,5)-connected new topology with the point symbol {4·53·72}{4·72}{42·55·73}{53·72·8}.75
O in the protonated carboxy groups in the H2NTD and H3BTC ligands was located at approximately 1680 cm−1, which completely disappeared from the profiles of the metal-containing compounds Zn-1 and Zn-2. Instead, new peaks appeared at 1610 and 1350 cm−1 for Zn-1 and 1589 and 1350 cm−1 for Zn-2, which should be ascribed to asymmetric and symmetric stretching vibrations of C
O in the Zn(II)-coordinated carbonyl groups of the ligands.
To identify the phase purities of Zn-1 and Zn-2 compounds before photoluminescence measurements, PXRD was performed. As depicted in Fig. S2,† the peaks of the experimental plots match well with those of the simulated plots, thereby suggesting that the bulk synthesis of the compounds has high phase purity. To evaluate the thermal stabilities of the compounds, thermogravimetric analyses of the compounds were carried out under a N2 atmosphere in the temperature range from r. t. to 800 °C (10 °C min−1). As shown in Fig. 3, from r. t. to 182 °C, a first weight losses of Zn-1 was and 7.2% which correspond to the loss of coordination and lattice water molecules (calcd.: 5.2% and 6.9%). At 280 °C, sharp weight loss occurred due to structural decomposition for Zn-1. The next, the guest-free framework Zn-2 exhibited satisfactory thermal stability and remained intact up to 380 °C, after that, the compound began to suffer rapid mass loss. In addition, the stability of the two MOFs also was explored in different pH solution in a range from 2 to 12. Fig. S3† showed that the phase purity of the two complexes was consistence with the ones that simulated from SCRD data, indicating strong stability of the two complexes under the test condition.
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| Fig. 3 Thermogravimetric curves of Zn-1 and Zn-2 in the temperature range of 30–800 °C under a N2 atmosphere. | ||
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| Fig. 4 Solid-state fluorescence spectra of Zn-1 and Zn-2 and the free ligand at r. t.: excitation (a) and emission (b). | ||
To evaluate the sensing capabilities of Zn-complexes, grounded Zn-MOF samples (1 mg) were dispersed in 5 mL of H2O, ultrasonicated for 10 min, and left to rest for an additional 2 hours. For metal ions, concentrations of 2 mM (MClx: M = K+, Na+, Mg2+, Ca2+, Ni2+, Co2+, Mn2+, Cu2+, Zn2+, Cd2+, Pb2+, Ba2+, Fe2+, In3+, Al3+, Cr3+, La3+ and Fe3+) or 2 mM (KyX: X = F−, Cl−, Br−, I−, Ac−, SCN−, NO3−, ClO3−, ClO4−, MnO4−, HPO42−, H2PO4−, CO32−, B4O72−, SO32−, SO42− and Cr2O72−) were prepared. The fluorescence quenching effects of these cations and anions were induced by the addition of the analyte solution (1.5 mL) into a complex suspension (1.5 mL). Finally, the resulting mixed suspension was subjected to fluorescence measurement, and the concentrations of the analyte and metal complex in the final mixture were 1 mM and 0.1 mg mL−1, respectively.
As shown in Fig. 5a and b, except for Fe3+, Cr2O72− and MnO4−, all selected cations and anions showed negligible enhancement or quenching of the fluorescence intensity of the Zn complexes. For the cations, the introduction of Fe3+ into the suspension of Zn complexes caused a dramatic quenching effect, and the quenching rates (1 − I/I0) were 97.6% and 98.0% for Zn-1 and Zn-2, respectively. For the anions, Cr2O72− and MnO4− exhibited obviously drastic turn-off quenching effects toward the Zn complexes. The initial fluorescence intensity quenching rates were 85.8% and 85.7% when MnO4− was used with the two Zn complexes, and the quenching rates reached 98.2% and 98.3% when Cr2O72− was employed.
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| Fig. 5 Quenching efficiencies of Zn-1 and Zn-2 dispersed in aqueous solutions those were treated with various cations (a) and anions (b) (1 mM). | ||
The above experiment was performed at a singlet concentration. Next, titration experiments were executed to establish the relationship between the quencher concentration and fluorescence intensity to evaluate the interior competence. In addition, the quenching constant Ksv was calculated via the Stern–Volmer (SV) equation: I0/I − 1 = Ksv[C], where [C] is the molar concentration of the analyte and I0 and I represent the luminescence intensity of the Zn complex in H2O in the presence and absence of analytes, respectively.
As shown in Fig. S4–S9,† as the ions were gradually added, the fluorescence intensities of all the tested Zn-complexes decreased proportionally. The plots exhibit satisfactory linear correlation in low analyte concentration ranges (0–0.1 mM for Fe3+ and Cr2O72−, 0–0.35 mM for MnO4−), while as the concentration of the analytes increases, the curves deviate upwardly from linearity. The Ksv values (Table S4†) were calculated to be 8.03 × 103 and 1.53 × 104 M−1 when Fe3+ was used for Zn-1 and Zn-2, respectively. For sensing the anions, the Ksv values are 2.40 × 103 and 2.78 × 103 M−1 (MnO4−) and 1.57 × 104 and 1.73 × 104 M−1 (Cr2O72−) for the two Zn complexes. In addition to the SV equation, the limit of detection (LOD) is another useful tool for evaluating the sensing capabilities of fluorescence sensors, which is defined as LOD = 3σ/Ksv (σ is the relative standard error that is calculated from ten repeated blank measurements). For evaluating the sensing capabilities of Zn-1 and Zn-2, the LOD values are 9.52 × 10−7 and 4.99 × 10−7 M for detecting Fe3+ 3.19 × 10−6 and 2.75 × 10−6 M for detecting MnO4− and 4.89 × 10−7 and 4.43 × 10−7 M for detecting Cr2O72−.
The selectivities of Zn-1 and Zn-2 for the quenchers can be assessed by anti-interference experiments. Herein, Zn-2 was selected as an example, as shown in Fig. 6, in the absence of Fe3+ ions, the presence of other cations caused no obvious decrease in the initial fluorescence intensity of Zn-2, and fluorescence quenching was readily observed after the addition of Fe3+ ions. Similarly, none of the other anions obviously decreased the fluorescence intensity of Zn-2 in the absence of MnO4− and Cr2O72−, while fluorescence quenching was readily observed after the addition of MnO4− or Cr2O72− ions.
During the sensing process, equal volumes of the analyte solution and Zn-complex suspension were mixed at a final concentration of 0.1 mM: 0.1 mg [M] mL−1. Overall, antibiotics TOB, KNM, GTM, PK, PVK, SM, TAP, ROX, and AZM did not contribute significant quenching for any of the two Zn complexes at an analyte concentration of 0.1 mM. Because these analytes significantly impact the emitter fluorescence, the two Zn complexes performed differently toward the different antibiotics. As shown in Fig. 7, in sensing the antibiotics, for Zn-1, CFX gives rise to the highest quenching rate, and the quenching rates are ranked as CFX > SMZ > NFT > NFZ > MNZ > DMZ > CAP > AML. Zn-2 performed differently from Zn-1, and the quenching rates for Zn-2 were in the order of NFT > NFZ ≈ SMZ > MNZ ≈ CFX > DMZ > CAP > AML.
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| Fig. 7 Quenching efficiencies of Zn-1 (a) and Zn-2 (b) dispersed in aqueous solutions that were treated with various antibiotics (0.1 mM). | ||
To quantitatively evaluate the effects of the antibiotics on the sensing capability of the Zn complexes, titration experiments were performed by gradual addition of antibiotics into a suspension of the Zn complexes. The antibiotics that performed best in the singlet quenching test for each Zn complex were selected for the titration experiments (CFX for Zn-1 and NFT for Zn-2). As shown in Fig. S10 and S11,† the fluorescence intensity of the Zn complexes dropped gradually with increasing concentrations of the tested antibiotics. The Ksv values for CFX in suspensions of Zn-1 and NFT in Zn-2 were linearly correlated (R2 of 0.99) with the analyte number in low concentration ranges of 0–0.05 mM. The linearity changed to an upward curve when in a higher analyte concentration range. The obtained Ksv and LOD values for CFX are 2.94 × 104 M−1 and 2.60 × 10−7 M with Zn-1. For NFT, they are 2.64 × 104 M−1 and 2.90 × 10−7 M with Zn-2. The KSV and LODs values of MOF based luminescent probes recently reported for sensing NFT and CFX are summarized in Table S7.†
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| Fig. 8 Quenching efficiencies of Zn-1 (a) and Zn-2 (b) dispersed in aqueous solutions and treated with various pesticides (0.1 mM). | ||
Furthermore, pesticides IMI for Zn-1 and Zn-2 were selected in kinetic titration experiments. Obvious quenching of the luminescence intensity was observed as the pesticide concentrations gradually increased. As shown in Fig. S12 and S13,† the relative fluorescence intensity and the concentration of the analytes exhibit a well-fitted linear correlation (R2 = 0.99) in the low concentration 0–0.05 mM range, and the plots were upwardly curved for many analytes for all titration tests. The Stern–Volmer constant KSV and the limit of detection LOD values (Table S8†) were calculated to be 3.16 × 104 M−1 and 2.42 × 10−7 M 3.49 × 104 M−1 and 2.19 × 10−7 M for IMI in the suspensions of Zn-1 and Zn-2, respectively.
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| Fig. 11 Schematic illustration of the fabrication route for the competition of incoming light by the Zn-MOFs and the analytes. | ||
Footnote |
| † Electronic supplementary information (ESI) available: Crystal data, IR, supporting figures. CCDC 2082187 and 2082188. For ESI and crystallographic data in CIF or other electronic format see DOI: 10.1039/d2ra00376g |
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