Hong Sihui, She Yongxin, Cao Xiaolin, Wang Miao, Zhang Chao, Zheng Lufei, Wang Shanshan, Ma Xingbin, Shao Hua, Jin Maojun, Jin Fen, Wang Jing
Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Science, Key Laboratory of Agro-Products Quality and Safety of Chinese Ministry of Agriculture Beijing 100081 P. R. China
Institute of Veterinary and Animal Husbandry, Tibet Academy of Agricultural and Animal Husbandry Sciences Lhasa 850006 P. R. China.
RSC Adv. 2018 Jun 5;8(37):20549-20556. doi: 10.1039/c8ra03531h.
In this study, a direct competitive biomimetic enzyme-linked immune-sorbent assay (BELISA) based on a molecularly imprinted nanomembrane as an artificial antibody was developed for the determination of triazophos in real samples. The imprinted film was directly synthesized on the well surface of a 96-well plate using a dummy molecular template under the conditions of thermal polymerization. The developed BELISA using a hapten of triazophos as an enzyme-labeled probe is much more sensitive, simple, quick, steady and inexpensive than the other instrumental and immuno assay methods. Under optimal conditions, the linear range of the method was 0.001-10 000 μg L with a good regression coefficient of 0.977. The sensitivity (IC) and the limit of detection (LOD) of BELISA were 428 μg L and 0.001 μg L, respectively. This method was performed to detect triazophos in cabbage and apple samples, and showed excellent recovery and relative standard deviations (RSDs) ranging from 70.5 to 119.8% and from 5.2 to 19.7%, respectively. The results correlated well with those obtained using high performance liquid chromatography-tandem mass spectrometry.
在本研究中,开发了一种基于分子印迹纳米膜作为人工抗体的直接竞争仿生酶联免疫吸附测定法(BELISA),用于测定实际样品中的三唑磷。在热聚合条件下,使用虚拟分子模板在96孔板的孔表面直接合成印迹膜。所开发的以三唑磷半抗原作为酶标记探针的BELISA比其他仪器分析和免疫测定方法更灵敏、简单、快速、稳定且成本低廉。在最佳条件下,该方法的线性范围为0.001 - 10000 μg/L,回归系数良好,为0.977。BELISA的灵敏度(IC)和检测限(LOD)分别为428 μg/L和0.001 μg/L。该方法用于检测白菜和苹果样品中的三唑磷,回收率良好,相对标准偏差(RSD)分别为70.5%至119.8%和5.2%至19.7%。结果与使用高效液相色谱 - 串联质谱法获得的结果相关性良好。