Geng Lingjun, Huang Jingcheng, Dong Haowei, Wang Haifang, Xu Rui, Yu Zhiping, Darwish Ibrahim A, Guo Yemin, Sun Xia
College of Agricultural Engineering and Food Science, Shandong University of Technology, No. 266 Xincun Xilu, Zibo, Shandong 255049, China.
Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing 100102, China.
J Hazard Mater. 2025 Jul 15;492:138252. doi: 10.1016/j.jhazmat.2025.138252. Epub 2025 Apr 11.
Organophosphorus pesticides (OPs) have attracted attention due to their widespread application in agriculture and public health sector. Among them, azamethiphos (AZA) may pose risks to non-target organisms and human health through food chain accumulation. Therefore, establishing a highly sensitive and specific detection method of AZA is of great significance for ensuring food safety and ecological protection. In this study, based on graphene oxide-SELEX technology, an aptamer (Apt) with specific recognition for AZA (K=26.27±1.27 nM) was screened for the first time. This aptamer was subsequently integrated with molecularly imprinted polymers to construct a dual-recognition electrochemical sensor, leveraging the complementary advantages of both recognition elements. This dual-recognition strategy enabled the synergistic enhancement of specific recognition ability, effectively reducing interference from non-target substances and improving sensor selectivity and accuracy. Additionally, a doping strategy was adopted to modify the electrode surface with AuNPs@SnS@ZnCo-MOF nanocomposites, improving electron transfer efficiency and providing abundant active sites, thereby significantly enhancing the electrochemical signal response. The sensor exhibited a wide detection range (1.00×10-1.00×10 ng/mL) and a low limit of detection (3.33×10 ng/mL), while also demonstrating excellent stability and specificity. In summary, this study developed a highly efficient, sensitive and selective electrochemical sensor, providing a novel strategy for the rapid detection of AZA and other organophosphorus pesticides, with broad application prospects in food safety and environmental monitoring.
有机磷农药（OPs）因其在农业和公共卫生领域的广泛应用而备受关注。其中，唑磷（AZA）可能通过食物链积累对非目标生物和人类健康构成风险。因此，建立一种高灵敏度和特异性的AZA检测方法对于确保食品安全和生态保护具有重要意义。在本研究中，基于氧化石墨烯-SELEX技术，首次筛选出对AZA具有特异性识别能力的适配体（Apt）（K=26.27±1.27 nM）。随后，将该适配体与分子印迹聚合物相结合，利用两种识别元件的互补优势构建了一种双识别电化学传感器。这种双识别策略协同增强了特异性识别能力，有效降低了非目标物质的干扰，提高了传感器的选择性和准确性。此外，采用掺杂策略用AuNPs@SnS@ZnCo-MOF纳米复合材料修饰电极表面，提高了电子转移效率并提供了丰富的活性位点，从而显著增强了电化学信号响应。该传感器具有宽检测范围（1.00×10 - 1.00×10 ng/mL）和低检测限（3.33×10 ng/mL），同时还表现出优异的稳定性和特异性。综上所述，本研究开发了一种高效、灵敏且选择性高的电化学传感器，为快速检测AZA和其他有机磷农药提供了一种新策略，在食品安全和环境监测方面具有广阔的应用前景。
