Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.
Guangdong Provincial Key Laboratory of Food Quality and Safety, South China Agricultural University, Guangzhou 510642, China.
J Hazard Mater. 2021 Jun 15;412:125241. doi: 10.1016/j.jhazmat.2021.125241. Epub 2021 Jan 27.
Carbamate pesticides (CPs) are the most used pesticides in agricultural production and pest control. In this study, carbofuran, isoprocarb and carbaryl were employed as models, and a general hapten strategy based on carbamate moiety recognition was proposed. Molecular modeling of the three-dimensional (3D) structure and surface electrostatic potential of the CPs indicated that the amide group formed by conjugation significantly influenced recognition by antibodies. The proposed strategy was used to obtain three sensitive and specific monoclonal antibodies (mAbs) with IC values of 1.4 ng/mL, 8.4 ng/mL and 13.8 ng/mL for carbofuran, isoprocarb and carbaryl, respectively. Negligible cross-reactivity (%) with analogs was observed, except for fenobucarb (84.6%) for isoprocarb. The obtained antibodies were used to develop an immunochromatographic assay (ICA) to simultaneously and quantitatively detect the three CPs. A strip reader was used to determine the limits of quantitation (LOQs) as 0.05 ng/mL (carbofuran), 31.3 ng/mL (isoprocarb) and 31.3 ng/mL (carbaryl). The recoveries of cucumber and Chinese cabbage samples ranged from 76% to 111%, with CVs from 1.3% to 10.6%, indicating good potential for the rapid simultaneous detection of multiple pesticide residues in a large batch of samples.
氨基甲酸酯类农药(CPs)是农业生产和病虫害防治中使用最广泛的农药。本研究以克百威、异丙威和西维因作为模型,提出了一种基于氨基甲酸酯部分识别的通用半抗原策略。CPs 的三维(3D)结构和表面静电势的分子建模表明,共轭形成的酰胺基团对抗体的识别有显著影响。该策略用于获得三种具有高灵敏度和特异性的单克隆抗体(mAbs),对克百威、异丙威和西维因的 IC 值分别为 1.4ng/mL、8.4ng/mL 和 13.8ng/mL。除了异丙威中的 Fenobucarb(84.6%)外,与类似物的交叉反应(%)可以忽略不计。所获得的抗体用于开发免疫层析分析(ICA)以同时定量检测三种 CPs。使用条带读取器确定定量限(LOQ)为 0.05ng/mL(克百威)、31.3ng/mL(异丙威)和 31.3ng/mL(西维因)。黄瓜和白菜样品的回收率在 76%到 111%之间,CV 在 1.3%到 10.6%之间,表明该方法在快速批量检测大量样品中的多种农药残留方面具有良好的应用潜力。