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提高食品中 AFB1 分析的可靠性:多功能 GO-FeO 的比率荧光/比色双模态分析平台。

Enhancing reliability for AFB1 analysis in food: Ratiometric fluorescence/colorimetric dual-modal analysis platform using multifunctional GO-FeO.

机构信息

Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun, 130062, PR China.

State Key Laboratory of Integrated Optoelectronics Key Laboratory of Advanced Gas Sensors, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, PR China.

出版信息

Biosens Bioelectron. 2024 Nov 1;263:116594. doi: 10.1016/j.bios.2024.116594. Epub 2024 Jul 20.

DOI:10.1016/j.bios.2024.116594
PMID:39084043
Abstract

Adsorption of DNA fluorescent probes on GO-FeO is a promising strategy for establishing fluorescent bioassays, often using magnetic separation or fluorescence quenching to generate signals. However, there is a lack of systematic understanding of ssDNA-regulated changes in the enzyme-mimetic activity of GO-FeO, and the accuracy of the results of single-mode fluorescence analysis is susceptible to environmental interference. These limit the rational design and scope of application of the methods. Herein, the force and the catalytic mechanism of ssDNA/GO-FeO interactions were explored in detail. On this basis, a ratiometric fluorescence/colorimetric dual-modal analysis platform was constructed based on the superparamagnetism and DNA controllable peroxidase-like activity of GO-FeO. The ratiometric fluorescent signal was generated by combining 7-amino-4-methyl-3-coumarinylacetic acid (AMCA) labeled aptamer (AMCA-aptamer) with AT hairpin-synthesized copper nanoparticles, which has built-in correction and resistance to environmental interference. The aptamer-modulated peroxidase-like activity of GO-FeO generated the colorimetric signal. Two signals correct each other to further enhance the reliability of the results. The analytical platform performed satisfactorily for AFB1 detection in the range of 0.1-150 μg/L, and was successfully applied to real samples (peanut, milk powder, and wheat flour). With the support of ImageJ software, quantitative detection was achieved by RGB channel analysis for real-color images, which provides a potential pathway for the rapid detection of food safety.

摘要

GO-FeO 上 DNA 荧光探针的吸附是建立荧光生物分析的一种很有前途的策略,通常使用磁分离或荧光猝灭来产生信号。然而,对于 ssDNA 调节 GO-FeO 的酶模拟活性变化,缺乏系统的认识,并且单模荧光分析结果的准确性容易受到环境干扰的影响。这些限制了这些方法的合理设计和应用范围。在此,详细探讨了 ssDNA/GO-FeO 相互作用的力和催化机制。在此基础上,基于 GO-FeO 的超顺磁性和 DNA 可控过氧化物酶活性,构建了比率荧光/比色双模态分析平台。比率荧光信号是通过将 7-氨基-4-甲基-3-香豆素基乙酸(AMCA)标记的适体(AMCA-适体)与 AT 发夹合成的铜纳米粒子结合产生的,该方法具有内置的校正和抗环境干扰能力。GO-FeO 调节的适体过氧化物酶样活性产生比色信号。两个信号相互校正,进一步提高了结果的可靠性。该分析平台在 0.1-150μg/L 的范围内对 AFB1 的检测性能良好,并成功应用于实际样品(花生、奶粉和小麦粉)。借助 ImageJ 软件,通过真彩色图像的 RGB 通道分析实现了定量检测,为食品安全的快速检测提供了一种潜在途径。

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