College of Chemistry, Chemical Engineering and Materials Science, Collaborative Innovation Center of Functionalized Probes for Chemical Imaging in Universities of Shandong, Shandong Normal University, Jinan, 250014, China.
Shandong Key Laboratory of TCM Quality Control Technology, Shandong Analysis and Test Center, Qilu University of Technology (Shandong Academy of Sciences), 19 Keyuan Street, Jinan, 250014, China.
J Chromatogr A. 2019 Jun 21;1595:11-18. doi: 10.1016/j.chroma.2019.02.048. Epub 2019 Feb 22.
The amino-modified covalent organic framework (NH@COF) was synthesized via the thiol-ene click reaction of vinyl covalent organic framework (COF) with 4-aminobenzenethiol. The introduction of amino groups can interact with the anionic headgroup of carboxylic acid pesticides. Moreover, ample hydrophilic surface area can boost absorption in the water media. The NH@COF was fully characterized by Fourier transform infrared spectroscopy, scanning electron microscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. Compared with vinyl COF and four commercial absorbents, the NH@COF shows higher extraction efficiency for carboxylic acid pesticides. The solid phase extraction (SPE) conditions, involving flow rate, ionic strength, sample pH, desorption solvent, and desorption solvent volume, were optimized in details. Under the optimized conditions, the NH@COF was successfully applied for the enrichment and determination of six carboxylic acid pesticides in environmental water samples combined with high performance liquid chromatography. The method features wide linearity (0.2-100 ng mL, r > 0.999), low limits of quantification (0.04-0.20 ng mL), and excellent precision (RSDs ≤ 8.7%). The recoveries range from 89.6% to 102.4% with RSDs ≤ 7.1%. Therefore, the NH@COF-SPE method is an efficient pretreatment procedure and can be utilized for the selective extraction of carboxylic acid pesticides from environmental water samples.
通过乙烯基共价有机框架(COF)与 4-氨苯硫酚的硫烯点击反应合成了氨基修饰的共价有机框架(NH@COF)。氨基的引入可以与羧酸农药的阴离子头基相互作用。此外,充足的亲水性表面积可以促进在水介质中的吸收。NH@COF 通过傅里叶变换红外光谱、扫描电子显微镜、X 射线衍射和 X 射线光电子能谱进行了全面表征。与乙烯基 COF 和四种商业吸附剂相比,NH@COF 对羧酸农药具有更高的萃取效率。详细优化了固相萃取(SPE)条件,包括流速、离子强度、样品 pH、洗脱溶剂和洗脱溶剂体积。在优化条件下,NH@COF 结合高效液相色谱法成功应用于环境水样中六种羧酸农药的富集和测定。该方法具有较宽的线性范围(0.2-100ng mL,r>0.999)、较低的定量限(0.04-0.20ng mL)和良好的精密度(RSDs≤8.7%)。回收率范围为 89.6%-102.4%,RSDs≤7.1%。因此,NH@COF-SPE 方法是一种有效的预处理程序,可用于从环境水样中选择性萃取羧酸农药。