Institute of Pesticide and Environmental Toxicology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou 310058, China; Wageningen Food Safety Research, Akkermaalsbos 2, 6708 WB Wageningen, the Netherlands.
Institute of Pesticide and Environmental Toxicology, Key Laboratory of Biology of Crop Pathogens and Insects of Zhejiang Province, Ministry of Agriculture Key Laboratory of Molecular Biology of Crop Pathogens and Insects, Zhejiang University, Hangzhou 310058, China.
J Hazard Mater. 2022 Mar 15;426:127845. doi: 10.1016/j.jhazmat.2021.127845. Epub 2021 Nov 21.
Pollution of N-methyl carbamate (NMC) pesticides is threatening the non-target organisms' survival. Thus, broad-specific antibodies and class-selective immunoassays are demanding for multiple NMCs determination. In this study, we employed a molecular docking-based virtual screening strategy to fast profile antibody spectrum, based on a designed chemical pool containing 17 compounds. A monoclonal antibody (mAb)-6G against carbofuran was used as the objective. The recombinant full-length IgG was successfully expressed to validate the antibody sequences for homology modeling. After docking, we manually categorized the antibody-chemical binding strength into three groups. Non-competitive surface plasmon resonance (SPR) demonstrated the mAb-6G affinitive binding toward five NMCs (carbofuran, isoprocarb, propoxur, carbaryl and carbosulfan), which were classified into strong and moderate binding categories. Antibody binding properties were confirmed again by ic-ELISA and lateral flow immunochromatographic strip. Subsequently, an ultrasensitive indirect competitive fluoromicrosphere-based immunoassay (ic-FMIA) was established with the IC (half-maximal inhibitory concentration) values of 0.08-3.37 ng/mL. This portable assay presented a 30-230-fold improved sensitivity than traditional ic-ELISA and was applied in European surface water analysis. Overall, our work provides an efficient platform integrating in-silico and experimental methodologies to accelerate the characterization of hapten-specific antibody binding properties and the development of high-sensitive immunoassays for multi-pollutants monitoring.
氨基甲酸酯类农药(NMCs)污染对非靶标生物的生存构成威胁。因此,需要针对多种 NMC 开发广谱特异性抗体和类选择性免疫分析方法。本研究基于包含 17 种化合物的设计化学库,采用基于分子对接的虚拟筛选策略,快速分析抗体谱。选择针对呋喃丹的单克隆抗体(mAb)-6G 作为目标物。成功表达了重组全长 IgG,以验证抗体序列的同源建模。对接后,我们手动将抗体-化学结合强度分为三组。非竞争表面等离子体共振(SPR)表明 mAb-6G 与五种 NMC(呋喃丹、异丙威、丙硫克百威、西维因和涕灭威砜)具有亲和性结合,这些结合被分为强结合和中等结合类别。通过 ic-ELISA 和侧向流动免疫层析条带再次确认了抗体结合特性。随后,建立了基于超灵敏间接竞争荧光微球的免疫分析(ic-FMIA),IC(半抑制浓度)值为 0.08-3.37ng/mL。与传统 ic-ELISA 相比,该便携式检测方法的灵敏度提高了 30-230 倍,并应用于欧洲地表水分析。总之,我们的工作提供了一个集成计算和实验方法的有效平台,可加速针对半抗原特异性抗体结合特性的分析以及针对多污染物监测的高灵敏度免疫分析方法的开发。