一种利用双传感信号的便携式智能手机平台，用于食品样品中亚硝脲的可视化检测。
A portable smartphone platform utilizing dual-sensing signals for visual determination of semicarbazide in food samples.
机构信息
Key Laboratory of Functional Molecular Engineering of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, 381 Wushan Road, Guangzhou, 510641, China.
Institute of Animal Science, Guangdong Academy of Agricultural Sciences, State Key Laboratory of Swine and Poultry Breeding Industry, 510641, China.
出版信息
J Mater Chem B. 2024 Apr 3;12(14):3469-3480. doi: 10.1039/d4tb00001c.
Semicarbazide (SEM) is a metabolite of antibiotic nitrofurazone and a food contaminant in food production, showing potential carcinogenic, mutagenic, teratogenic, and toxic effects on human health. It is urgent to develop a highly efficient and sensitive assay for visual detection of SEM. In this paper, a pyrrolopyrrole cyanine fluorescent probe (PPCy-1) was reported for visualization and quantitative analysis of SEM through a chromophore reaction sensing mechanism for the first time. The probe towards SEM exhibited a fast response (10 min), a low detection limit (0.18 μM), high selectivity, and distinct dual ratiometric fluorescence turn-on and colorimetric modes. Its practicability was further verified by detecting SEM in meat, water, and honey samples with satisfactory recovery values. More importantly, a smartphone-assisted portable testing platform was constructed based on a PPCy-1-immobilized test paper or a polyamide thin film with a color scanning APP for real-time and on-site detection of SEM. This work provides low-cost, convenient, and rapid assays for visual SEM detection, which have potential applications in food safety monitoring.
氨基脲（SEM）是抗生素呋喃唑酮的代谢物，也是食品生产中的一种食品污染物，对人类健康具有潜在的致癌、致突变、致畸和毒性作用。因此，开发一种用于 SEM 的可视化检测的高效灵敏分析方法迫在眉睫。本文首次报道了一种吡咯并吡咯二氰基荧光探针（PPCy-1），通过生色团反应传感机制实现了 SEM 的可视化和定量分析。探针对 SEM 具有快速响应（10 min）、低检测限（0.18 μM）、高选择性和明显的双比率荧光开启和比色模式。通过在肉、水和蜂蜜样品中检测 SEM，进一步验证了其实用性，回收率值令人满意。更重要的是，构建了基于 PPCy-1 固定化试纸或聚酰胺薄膜的智能手机辅助便携式测试平台，并结合颜色扫描 APP 用于 SEM 的实时现场检测。这项工作为 SEM 的可视化检测提供了低成本、便捷和快速的分析方法，在食品安全监测方面具有潜在的应用价值。
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