Zhijian Liab,
Congcong Gonga,
Panpan Huoa,
Chunhui Deng
*c and
Shouzhi Pu*a
aJiangxi Key Laboratory of Organic Chemistry, Jiangxi Science and Technology Normal University, Nanchang 330013, PR China. E-mail: lizhijianhdd@163.com; pushouzhi@tsinghua.org.cn
bShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
cFudan University, Shanghai 200438, China. E-mail: chdeng@fudan.edu.cn
First published on 5th August 2020
Microcystin-LR (MC-LR) is a toxin released from cyanobacteria in eutrophicated water. MC-LR is the most abundant and the most toxic among microcystins. In this work, core–shell structured copper-based magnetic metal–organic framework (Fe3O4@PDA@Cu-MOFs) composites were synthesized via a solvothermal reaction and a sol–gel method. The Fe3O4@PDA@Cu-MOFs composites showed ultra-high surface area, strong magnetic response and outstanding hydrophilicity. The Fe3O4@PDA@Cu-MOFs composites combined with matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF-MS) were used to analyse the content of MC-LR in real water samples. Under the optimised conditions, our proposed method exhibited good linearity within a concentration range of 0.05–4 μg L−1 and good detection even at low limits (0.015 μg L−1). The method was also successfully applied to analyse traces of MC-LR with quantitative recoveries for the real water samples in the range from 98.67% to 106.15%. Furthermore, it was characterized by high sensitivity, short operation time, being environmental friendly and having the ability to analyse other pollutants in the environment.
To ensure water quality, several methods and techniques have been applied for MC-LR detection in water. Some of them are colorimetric aptamer assay,11–13 high-performance liquid chromatography (HPLC),14 enzyme-linked immunosorbent assay,15,16 fluorescence biosensor immunoassay,17,18 electrochemical.19–21 Although these methods can detect exceedingly low levels of MC-LR, they always require harmful solvents and time-consuming, skilled and complex operating procedures. For example, HPLC is more precise than the other methods, but they require expensive equipment, operation complexity and long analysis time. Recently, matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) has been widely applied for the detection and analysis of various compounds such as proteins,22,23 peptides,22,24 and small molecules25,26 because it is a rapid, simple and sensitive technique. However, the detection limit of MALDI-TOF MS is high and this makes it unsuitable as per the WHO advisory level for drinking water.27 Hence, a simple, rapid and efficient method for enriching MC-LR in drinking water by MALDI-TOF MS analysis is developed.
A variety of functionalised nanomaterials with high surface area and inner pores such as mesoporous carbon,28 graphene19 and mesoporous silica29 have been applied to the enrichment of MC-LR in water samples and for environment analysis. In the meantime, metal–organic frameworks (MOFs) have been developed rapidly and attracted specific interests in separation of sample due to their outstand property. MOFs are a class of hybrid inorganic–organic porous crystalline materials formed by combining metal ions and organic ligands. They have attracted considerable attention because of their ultra-high surface areas, mesoporous structures, aromatic organic ligands and functional tenability. Thus, MOFs have been widely applied in various fields including gas storage and separation, drug delivery, catalysis, gas sensors, and adsorption and chromatographic techniques.30,31
Herein in this work, we designed and synthesized Fe3O4@PDA@Cu-MOFs by modifications step by step. Fe3O4 was employed to fast separation. Poly-dopamine (PDA) not only acted as the linker between Cu-MOFs and Fe3O4 but also increased the hydrophilicity. Cu-MOFs was constructed via coordination of copper ion and 1,3,5-benzenetricarboxylic acid. Cu-MOFs were linked to the surface of PDA by self-assembly. On the basis of boric Cu2+ specific affinity for carboxyl and amino groups, Fe3O4@PDA@Cu-MOFs was used as a substrate for enrichment of MC-LR and directly for MALDI-TOF MS analysis.
Then, magnetic core–shell Fe3O4@PDA particles were synthesized accordingly to a previously reported procedure. First, 0.1 g of Fe3O4 particles was dispersed in a mixture containing 40 mL of H2O and 40 mL of ethanol. The mixed solution was sonicated for 10 min. Subsequently, 0.05 g of Tris and 0.32 g of dopamine hydrochloride were added to the mixed solution, and the mixture was stirred for 16 h at room temperature. Then, the Fe3O4@PDA particles were collected using a magnet and rinsed several times with deionised water and ethanol. The obtained products were dried in vacuum at 50 °C for 12 h.
To prepare Fe3O4@PDA@Cu-MOFs, 0.075 g of Fe3O4@PDA particles were dispersed in 40 mL of DMF and sonicated for 10 min followed by an addition of 0.01 g of Cu(Ac)2·H2O and 0.12 g of 1,3,5-benzenetricarboxylic acid. The mixture was heated at 70 °C for 45 min. Finally, the Fe3O4@PDA@Cu-MOFs particles were collected by a magnet, washed thrice with ethanol and then dried in a vacuum for 12 h at 50 °C.
The morphologies and size of Fe3O4, Fe3O4@PDA and Fe3O4@PDA@Cu-MOFs were characterised by SEM and TEM. As shown in Fig. 1a, the TEM image of Fe3O4 revealed that the average particle size of Fe3O4 was approximately 100 nm. The Fe3O4@PDA microspheres showed a typical core–shell structure with a PDA shell of approximately 15 nm (Fig. 1b). The TEM images of Fe3O4@PDA@Cu-MOFs in Fig. 1c show that Cu-MOFs are coated on the surface of Fe3O4@PDA. The TEM images of Fe3O4@PDA@Cu-MOFs indicate that the thickness of the Cu-MOFs shell is approximately 20 nm. Moreover, the SEM observation shows that Fe3O4@PDA@Cu-MOFs have spherical morphology (Fig. S1†).
Fig. S2† shows the FT-IR spectra of Fe3O4, Fe3O4@PDA and Fe3O4@PDA@Cu-MOFs. In all the samples, the peaks at 3398 cm−1 and 557 cm−1 were assigned to the O–H stretching vibration of hydroxyl groups and Fe–O–Fe stretching vibration of Fe3O4.32 For Fe3O4@PDA, the bands at 1385 cm−1 and 1588 cm−1 were attributed to the C–N stretching vibration and CC vibration of the aromatic ring indicating the successful formation of PDA on the surface of Fe3O4 (Fig. S2b†). Besides, relative to the Fe3O4@PDA composites, the FT-IR spectra of Fe3O4@PDA@Cu-MOFs show other adsorption bands at 1400 cm−1 and 3418 cm−1, which could be because to the O–H stretching vibration and O–H bending vibration of carboxyl groups from Cu-MOFs.
The XRD pattern of Fe3O4@PDA@Cu-MOFs is shown in Fig. 2. The peaks at 2θ = 30.4°, 35.6°, 43.3°, 53.7°, 57.3° and 62.7° can be indexed to the (220), (311), (400), (422), (511) and (440) reflections of the cubic Fe3O4 phase, respectively, (JCPDS card no. 190629).33 Moreover, the peaks at 2θ = 10.7°, 12.6°, 13.9°, 19.9°, 25.1° and 27.3° can be indexed to the (222), (331), (422), (731), (751) and (440) planes of Cu-MOFs, respectively.34
XPS was used to examine the compositions of the surface elements and electronic state of Fe3O4@PDA@Cu-MOFs. As shown in Fig. 3a, O, Cu and C could be observed, but no peaks that corresponded to Fe appeared, thereby, proving that the magnetic Fe3O4 core was well encapsulated inside the core–shell microspheres by PDA@Cu-MOFs. The C 1s spectrum of Fe3O4@PDA@Cu-MOFs (Fig. 3c) exhibited peaks at 284.6 eV, 287.3 eV and 289.2 eV, which can be attributed to CC, C
O and O–C
O, respectively. The XPS peaks of Cu 2p that centred at 933.7 eV and 953.6 eV (Fig. 3b) can be assigned to Cu 2p3/2 and Cu 2p1/2, respectively. In addition, two characteristic peaks centred at 943.4 eV and 938.8 eV, which could be attributed to the satellite peaks of Cu 2p.35 The peaks of O 1s at 529.7 eV and 531.5 eV could be ascribed to the lattice oxygen (C–O) and O–H of Cu-MOFs, respectively (Fig. 3d). The mass percentages of C, O, N and Cu were determined to be 66.75%, 24.50%, 4.54% and 4.21%, respectively. These results indicate that Cu-MOFs were successful decorated onto the surface of Fe3O4@PDA.
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Fig. 3 XPS spectra of the Fe3O4@PDA@Cu-MOFs composites: (a) wide XPS survey spectrum, (b) Cu 2p, (c) C 1s and (d) O 1s. |
The inner architectures of the Fe3O4@PDA@Cu-MOFs composites were investigated by nitrogen adsorption–desorption isotherm analysis. As exhibited in Fig. 4a, Fe3O4@PDA@Cu-MOFs gave rise to a type-IV curve, which indicated that the Fe3O4@PDA@Cu-MOFs composites had a mesoporous structure. The Brunauer–Emmett–Teller (BET) surface area and total pore volume of the Fe3O4@PDA@Cu-MOFs composites were calculated to be 70.4 m2 g−1 and 0.055 cm3 g−1, respectively. The pore size distributions derived from the adsorption branches of the isotherms by using the Barrett–Joyner–Halenda (BJH) model displayed a mean pore size of approximately 3.2 nm (Fig. 4b). Taken together, these results indicate that the Fe3O4@PDA@Cu-MOFs composites had large surface area and a mesoporous structure.
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Fig. 4 Nitrogen adsorption–desorption isotherms (a) and pore size distributions of the Fe3O4@PDA@Cu-MOFs composites (b). |
Eluents have a considerable effect on desorption from the Fe3O4@PDA@Cu-MOFs adsorbent. Three common eluents were used to investigate the effect of elution of MC-LR (i.e. 50% CAN-0.1% TFA (v:
v), 0.25 M NH4HCO3 and 0.4 M NH3·H2O). Fig. 5 shows that the effect of elution of MC-LR desorbed by 0.25 M NH4HCO3 were higher than 50% CAN-0.1% TFA and 0.4 M NH3·H2O under the same condition. These results suggest that 0.25 M NH4HCO3 is the optimising eluent for desorption of MC-LR from the enriched by Fe3O4@PDA@Cu-MOFs composites. Therefore, ammonium bicarbonate eluents were used in the following experiments.
The enrichment procedure for MC-LR by using the Fe3O4@PDA@Cu-MOFs composites is shown in Scheme 2. The MALDI-TOF MS signal intensity of 1 μg L−1 MC-LR is shown in Fig. S3a,† the signal intensity is 365. After enrichment by the Fe3O4@PDA@Cu-MOFs composites, the signal intensity is 3754 (Fig. S3b†), the results indicate that an enrichment factor of about 10. Under the optimised eluent condition, the Fe3O4@PDA@Cu-MOFs composites for enrichment and detection MC-LR were studied. As shown in Fig. 6a, the mass signal intensities increased with the increase MC-LR concentration. The result showed that the signal intensity of MC-LR had good linearity (R2 = 0.997) with the logarithm of MC-LR concentration from 0.05 μg L−1 to 4 μg L−1. The linear regression equation was determined to be Y = 2279.07 + 1344.52log
CMC-LR (μg L−1). The limit of detection (LOD) was 0.015 μg L−1 (LOD = 3σ/k, k is the slope of the calibration curve and σ is the standard deviation), which was lower than the maximum limit of MC-LR in drinking water specified by WHO. As depicted in Table S1,† our method afforded better results than others methods, which were previously reported.
To evaluate the applicability of the present method in real water samples, the MC-LR content in real water samples was determined by MALDI-TOF MS before and after enrichment using the Fe3O4@PDA@Cu-MOFs composites (Fig. S4†). MC-LR was not detected in the mass spectrum of the water sample before treatment with the Fe3O4@PDA@Cu-MOFs composites (Fig. S4a†). In contrast, MC-LR was detected after treatment with the Fe3O4@PDA@Cu-MOFs composites (Fig. S4b†), which indicated that the Fe3O4@PDA@Cu-MOFs composites could successfully enrich the MC-LR content in real water samples. According to the established calibration equations, the recoveries were 98.68–106.2% for MC-LR (Table 1). These results demonstrate that the Fe3O4@PDA@Cu-MOFs composites have great potential to be used for the analysis of MC-LR in real water samples by MALDI-TOF MS spectroscopy.
Analyte | Added (μg L−1) | Found (μg L−1) | Recovery (%) | RSD (n) |
---|---|---|---|---|
MC-LRs | 1 | 1.062 | 106.2 | 6.1 |
2 | 2.010 | 100.5 | 8.2 | |
4 | 3.947 | 98.68 | 6.6 |
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/d0ra04125d |
This journal is © The Royal Society of Chemistry 2020 |