Zhou Jinghui, Chen An, Guo Hongying, Li Yijun, He Xiwen, Chen Langxing, Zhang Yukui
College of Chemistry, Tianjin Key Laboratory of Biosensing and Molecular Recognition, Nankai University, Tianjin 300071, China.
National Demonstration Center for Experimental Chemistry Education, Nankai University, Tianjin 300071, China.
Nanomaterials (Basel). 2022 Jul 20;12(14):2482. doi: 10.3390/nano12142482.
The extraction of quinolone antibiotics (QAs) is crucial for the environment and human health. In this work, polyacrylonitrile (PAN)/covalent organic framework TpPa-1 nanofiber was prepared by an electrospinning technique and used as an adsorbent for dispersive solid-phase extraction (dSPE) of five QAs in the honey and pork. The morphology and structure of the adsorbent were characterized, and the extraction and desorption conditions for the targeted analytes were optimized. Under the optimal conditions, a sensitive method was developed by using PAN/TpPa-1 nanofiber as an adsorbent coupled with high-performance liquid chromatography (HPLC) for five QAs detection. It offered good linearity in the ranges of 0.5-200 ng·mL for pefloxacin, enrofloxacin, and orbifloxacin, and of 1-200 ng·mL for norfloxacin and sarafloxacin with correlation coefficients above 0.9946. The limits of detection (S/N = 3) of five QAs ranged from 0.03 to 0.133 ng·mL. The intra-day and inter-day relative standard deviations of the five QAs with the spiked concentration of 50 ng·mL were 2.8-4.0 and 3.0-8.8, respectively. The recoveries of five QAs in the honey and pork samples were 81.6-119.7%, which proved that the proposed method has great potential for the efficient extraction and determination of QAs in complex samples.
喹诺酮类抗生素（QAs）的提取对环境和人类健康至关重要。在本研究中，通过静电纺丝技术制备了聚丙烯腈（PAN）/共价有机框架TpPa-1纳米纤维，并将其用作分散固相萃取（dSPE）蜂蜜和猪肉中5种QAs的吸附剂。对吸附剂的形态和结构进行了表征，并优化了目标分析物的萃取和解吸条件。在最佳条件下，建立了一种以PAN/TpPa-1纳米纤维为吸附剂结合高效液相色谱（HPLC）检测5种QAs的灵敏方法。该方法对培氟沙星、恩诺沙星和奥比沙星在0.5-200 ng·mL范围内具有良好的线性，对诺氟沙星和沙拉沙星在1-200 ng·mL范围内具有良好的线性，相关系数均高于0.9946。5种QAs的检测限（S/N = 3）为0.03至0.133 ng·mL。加标浓度为50 ng·mL时，5种QAs的日内和日间相对标准偏差分别为2.8-4.0和3.0-8.8。蜂蜜和猪肉样品中5种QAs的回收率为81.6-119.7%，这证明该方法在复杂样品中QAs的高效萃取和测定方面具有巨大潜力。
