Wang Xuemei, Yang Jing, Zhao Jiali, Zhou Zheng, DU Xinzhen, Lu Xiaoquan
Key Laboratory of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, China.
Se Pu. 2022 Oct;40(10):910-920. doi: 10.3724/SP.J.1123.2022.03011.
Pesticides are widely used in agriculture to increase grain yields and prevent crop diseases and insect pests. However, pesticides pose a serious threat to ecosystems and human health owing to their high toxicity and persistence. Therefore, it is imperative to establish an efficient and sensitive detection method for pesticides in water samples. Rapid and accurate detection of trace pesticides in environmental water samples has been a challenge because of complex matrix effects and trace concentrations. Appropriate sample pretreatment is a critical step for the effective extraction of analytes and removal of interferences, and the development and design of novel and stable nanomaterial adsorbents is key to continuous innovation in sample pretreatment technology. In recent years, carboxylated multiwalled carbon nanotubes (MWCNTs-COOH) and layered double hydroxide (LDHs) have been widely used as new adsorbent materials for various pretreatment technologies because of their large specific surface area, good stability, and easy functionalization. Based on this background, MWCNTs-COOH and LDHs were combined to obtain a new efficient composite adsorbent, so that the synergistic effect of the individual components could be exploited in entirety. In this study, a zeolitic metal organic framework ZIF-67/multiwalled carbon nanotube (ZIF-67/MWCNTs) composite was prepared by a simple one-step method, and a cobalt-nickel double metal hydroxide/multiwalled carbon nanotube (CoNi-LDH/MWCNTs) hybrid material with a three-dimensional cage-like structure was synthesized by a solvothermal method using ZIF-67/MWCNTs as templates. The cage-like structure of the CoNi-LDH/MWCNTs composite, which is different from the traditional layered bimetallic hydroxide, could accelerate mass transfer. Given the excellent properties of the CoNi-LDH/MWCNTs composite, it was used as a solid-phase microextraction (SPME) coating for the efficient enrichment of six pesticides (chlorothalonil, tebuconazole, chlorpyrifos, butralin, deltamethrin, and pyridaben) and combined with high performance liquid chromatography-ultraviolet (HPLC-UV) detection for the determination of the six pesticides in real water samples. The prepared materials were characterized by scanning electron microscopy, electron dispersion spectroscopy, infrared spectroscopy, X-ray powder diffraction, and N adsorption/desorption. The results confirmed that the CoNi-LDH/MWCNTs composite was successfully synthesized, and that its surface area and pore volume were 281.4 m/g and 0.49 cm/g, respectively. An orthogonal array design was used to optimize the extraction conditions of SPME, including the extraction time, extraction temperature, stirring rate, salt effect, and desorption time. The optimal extraction conditions were as follows: extraction temperature, 40 ℃; extraction time, 30 min; stirring rate, 500 r/min; desorption time, 6 min; and salt (NaCl) mass concentration, 150 mg/L. Under optimal conditions, the method had a wide linear range (chlorothalonil: 0.015-200 μg/L, tebuconazole: 0.140-200 μg/L, chlorpyrifos: 0.250-200 μg/L, butralin: 0.077-200 μg/L, deltamethrin: 1.445-200 μg/L, pyridaben: 0.964-200 μg/L), low detection limit (0.004-0.434 μg/L), and good reproducibility. The relative standard deviations (RSDs) of single fiber and fiber-to-fiber were in the range of 0.5% to 5.7% and 0.5% to 4.8%, respectively. The spiked recoveries at two levels of 10.0 μg/L and 50.0 μg/L were in the range of 83.9%-108.2%, with RSDs less than 5.3%. Compared with other coated fibers (MWCNTs-COOH, ZIF-67, ZIF-67/MWCNTs, and silicone sealant), the CoNi-LDH/MWCNTs-coated fibers showed a better enrichment effect for pesticides, which was attributed to their high specific surface area and π-π interactions, hydrophobic interactions, cation-π interactions, and hydrogen bonding interactions between the CoNi-LDH/MWCNTs coating and the target analytes, which can enhance their ability to extract pesticides. The stability test on the SPME fibers revealed that after 128 cycles, the extraction efficiency of the CoNi-LDH/MWCNTs-coated fibers for the six pesticides decreased only slightly (< 10%), implying that the coated fibers had good stability and reusability. Therefore, this method can be used to detect pesticide residues in environmental water samples with high selectivity, sensitivity, and accuracy.
农药在农业中被广泛使用,以提高粮食产量并预防作物病虫害。然而,由于其高毒性和持久性,农药对生态系统和人类健康构成了严重威胁。因此,建立一种高效、灵敏的水样中农药检测方法势在必行。由于复杂的基质效应和痕量浓度,快速、准确地检测环境水样中的痕量农药一直是一个挑战。适当的样品预处理是有效提取分析物和去除干扰的关键步骤,而新型稳定的纳米材料吸附剂的开发和设计是样品预处理技术不断创新的关键。近年来,羧基化多壁碳纳米管(MWCNTs-COOH)和层状双氢氧化物(LDHs)因其比表面积大、稳定性好、易于功能化等特点,被广泛用作各种预处理技术的新型吸附材料。基于此背景,将MWCNTs-COOH和LDHs结合,获得了一种新型高效复合吸附剂,从而能够充分发挥各组分的协同效应。在本研究中,通过简单的一步法制备了沸石金属有机框架ZIF-67/多壁碳纳米管(ZIF-67/MWCNTs)复合材料,并以ZIF-67/MWCNTs为模板,通过溶剂热法合成了具有三维笼状结构的钴镍双金属氢氧化物/多壁碳纳米管(CoNi-LDH/MWCNTs)杂化材料。CoNi-LDH/MWCNTs复合材料的笼状结构不同于传统的层状双金属氢氧化物,能够加速传质。鉴于CoNi-LDH/MWCNTs复合材料的优异性能,将其用作固相微萃取(SPME)涂层,用于高效富集六种农药(百菌清、戊唑醇、毒死蜱、仲丁灵、溴氰菊酯和哒螨灵),并结合高效液相色谱-紫外(HPLC-UV)检测,用于测定实际水样中的六种农药。通过扫描电子显微镜、电子能谱、红外光谱、X射线粉末衍射和N吸附/脱附对制备的材料进行了表征。结果证实成功合成了CoNi-LDH/MWCNTs复合材料,其比表面积和孔体积分别为281.4 m²/g和0.49 cm³/g。采用正交试验设计优化了SPME的萃取条件,包括萃取时间、萃取温度、搅拌速率、盐效应和解吸时间。最佳萃取条件如下:萃取温度40℃;萃取时间30 min;搅拌速率500 r/min;解吸时间6 min;盐(NaCl)质量浓度150 mg/L。在最佳条件下,该方法具有较宽的线性范围(百菌清:0.015 - 200 μg/L,戊唑醇:0.140 - 200 μg/L,毒死蜱:0.250 - 200 μg/L,仲丁灵:0.077 - 200 μg/L,溴氰菊酯:1.445 - 200 μg/L,哒螨灵:0.964 - 200 μg/L)、低检测限(0.004 - 0.434 μg/L)和良好的重现性。单纤维和纤维间的相对标准偏差(RSDs)分别在0.5%至5.7%和0.5%至4.8%范围内。在10.0 μg/L和50.0 μg/L两个加标水平下的加标回收率在83.9% - 108.2%范围内,RSDs小于5.3%。与其他涂层纤维(MWCNTs-COOH、ZIF-67、ZIF-67/MWCNTs和硅酮密封剂)相比,CoNi-LDH/MWCNTs涂层纤维对农药表现出更好的富集效果,这归因于其高比表面积以及CoNi-LDH/MWCNTs涂层与目标分析物之间的π-π相互作用、疏水相互作用、阳离子-π相互作用和氢键相互作用,这些相互作用可以增强其萃取农药的能力。对SPME纤维的稳定性测试表明,经过128次循环后,CoNi-LDH/MWCNTs涂层纤维对六种农药的萃取效率仅略有下降(<10%),这意味着涂层纤维具有良好的稳定性和可重复使用性。因此,该方法可用于高选择性、高灵敏度和高准确度地检测环境水样中的农药残留。