Biosensors for specific detection of sex pheromone based on screen-printed electrodes and pheromone-binding protein 1 from the fall armyworm, Spodoptera frugiperda
文献类型: 外文期刊
作者: Lin Xuan Wang;Bin Zeng;Jia Qi Huang;Fan Wu;Hao Liang Chen;Yang Liu;Hong Liang Li
作者机构:
关键词: Biosensor;Fall armyworm;Pheromone-binding protein 1(PBP1);Screen-printed electrodes (SPE);Sex pheromone
期刊名称: Microchemical Journal
ISSN: 0026-265X
年卷期: 2026 年 221 卷
页码:
收录情况: SCIE(2025版)
摘要: The fall armyworm Spodoptera frugiperda has a strong ability to migrate and spread. It feeds on a variety of plants and poses a serious threat to crop plantations. The common monitoring methods mostly rely on pheromone lures to trap male fall armyworm moths; however, specific monitoring methods for female moths are still lacking. Therefore, to simulate the special olfactory functions of male moths detecting sex pheromones released by female moths, this study used pheromone-binding protein 1 (PBP1), which is highly and specifically expressed in the antennae of male moths, as the biosensor recognition element. This recombinant SfruPBP1 protein was prepared and immobilized on the surface of screen-printed electrodes (SPE) via nitrocellulose membranes. The three main components of the fall armyworm's sex pheromones (Z7–12:AC, Z9–14:AC, and Z11–16:AC) were added to the electrode surface and detected using electrochemical impedance spectroscopy (EIS), by using ethyl oleate as the negative control. The results showed that the biosensor had a linear range of 10−9 M–10−5 M for the three main components, with correlation coefficients (R2) ranging from 0.9376 to 0.9427 and LOD (limit of detection) of 10−13 M–10−10 M. Molecular docking results showed that one hydrogen bond (Arg–132) was observed when Z11–16:AC bound with SfruPBP1, with key amino acid sites located at the C-terminus. This biosensor, developed in this study, which exhibits high sensitivity and specificity, lays a foundation for future dynamic real-time monitoring of female fall armyworm moths in the field using biosensor-based approaches
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