Guangdong Provincial Key Laboratory of Food Quality and Safety, College of Food Science, South China Agricultural University, Guangzhou 510642, China.
College of Mathematics and Infromatics, College of Software Engineering, South China Agricultural University, Guangzhou 510642, China.
Food Chem. 2022 Feb 1;369:131008. doi: 10.1016/j.foodchem.2021.131008. Epub 2021 Aug 31.
In this study, we developed a prussian blue nanoparticles (PBNPs) immunochromatographic assay (ICA) integrated with smartphone-based detection device for ZEN in cereals. PBNPs, as probe labels, were synthesized with properties of controllable structure, environment friendliness, and high affinities to antibody (Ab). PBNPs-ICA quantitative analysis was performed with a hand-held smartphone-based device coupled with a user-friendly and self-programmed detection App. This integrated strategy demonstrated high sensitivity for ZEN with a cut-off value of 10 μg/kg, a detection limit of 0.12 μg/kg, a quantitation limit of 0.27 μg/kg, and recovery rates of 92.0%-105.0% and 88.0%-98.0% for maize and wheat, respectively. The results of 20 naturally contaminated cereal samples showed good correlation (R>0.99) between LC-MS/MS and developed system. Moreover, the stability experiment revealed that PBNPs-ICA maintained high stability and bioactivity against competitive antigen (Ag). The proposed strategy exhibited great potential for the rapid monitoring of mycotoxins or other small molecule hazards.
在这项研究中,我们开发了一种普鲁士蓝纳米粒子(PBNPs)免疫层析分析(ICA),与智能手机检测设备相结合,用于检测谷物中的玉米赤霉烯酮(ZEN)。PBNPs 作为探针标签,具有可控结构、环境友好和高亲和力抗体(Ab)等特性。采用基于智能手机的手持式设备与用户友好且自编检测应用程序进行 PBNPs-ICA 定量分析。该集成策略对 ZEN 具有高灵敏度,其截断值为 10μg/kg,检测限为 0.12μg/kg,定量限为 0.27μg/kg,玉米和小麦的回收率分别为 92.0%-105.0%和 88.0%-98.0%。对 20 个自然污染谷物样品的检测结果表明,与 LC-MS/MS 相比,开发的系统具有良好的相关性(R>0.99)。此外,稳定性实验表明,PBNPs-ICA 对竞争抗原(Ag)具有高稳定性和生物活性。该策略有望用于快速监测真菌毒素或其他小分子危害物。