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Magneto-controlled aptasensor for simultaneous detection of ochratoxin A and fumonisin B1 using inductively coupled plasma mass spectrometry with multiple metal nanoparticles as element labels
Analytica Chimica Acta ( IF 6.2 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.aca.2020.06.057
Dafeng Jiang 1 , Chao Huang 2 , Lijun Shao 1 , Xiaolin Wang 1 , Yanni Jiao 1 , Wei Li 1 , Jindong Chen 1 , Xiaowen Xu 2
Affiliation  

The simultaneous detection of multiple mycotoxins is important for food safety. Here, a magneto-controlled aptasensor for quantitative analysis of ochratoxin A (OTA) and fumonisin B1 (FB1) using inductively coupled plasma mass spectrometry (ICP-MS) with multiple metal nanoparticles as element labels was proposed. Firstly, the OTA aptamer (Apt1) and the FB1 aptamer (Apt2) immobilized on the magnetic beads (MBs) were hybridized with probe DNA1-CdSe quantum dots (pDNA1-QDs) and probe DNA2-Ag nanoparticles (pDNA2-Ag NPs) labels, producing the MBs-Apt1-pDNA1-QDs and MBs-Apt2-pDNA2-Ag NPs conjugates, respectively. Then, the MBs-Apt1-OTA and MBs-Apt2-FB1 conjugates were generated with the addition of targets, resulting the pDNA1-QDs and pDNA2-Ag NPs labels released into the solutions. Finally, the signal intensities of 111Cd and 107Ag were detected by ICP-MS, achieving limits of detection of 0.10 and 0.30 ng mL-1 for OTA and FB1, respectively. The assay showed high specificity and succeeded in wheat flour. The method provides an ideal model for sensitive analysis of multiple mycotoxins in food samples.

中文翻译:

磁控适体传感器使用电感耦合等离子体质谱法以多种金属纳米粒子作为元素标记同时检测赭曲霉毒素 A 和伏马菌素 B1

同时检测多种真菌毒素对食品安全很重要。在这里,提出了一种磁控适体传感器,用于使用电感耦合等离子体质谱 (ICP-MS) 以多种金属纳米粒子作为元素标记对赭曲霉毒素 A (OTA) 和伏马菌素 B1 (FB1) 进行定量分析。首先,将固定在磁珠 (MB) 上的 OTA 适体 (Apt1) 和 FB1 适体 (Apt2) 与探针 DNA1-CdSe 量子点 (pDNA1-QDs) 和探针 DNA2-Ag 纳米粒子 (pDNA2-Ag NPs) 标记杂交,分别产生 MBs-Apt1-pDNA1-QDs 和 MBs-Apt2-pDNA2-Ag NPs 共轭物。然后,通过添加目标生成 MBs-Apt1-OTA 和 MBs-Apt2-FB1 偶联物,导致 pDNA1-QDs 和 pDNA2-Ag NPs 标签释放到溶液中。最后,ICP-MS 检测了 111Cd 和 107Ag 的信号强度,OTA 和 FB1 的检测限分别为 0.10 和 0.30 ng mL-1。该测定显示出高特异性并在小麦面粉中取得成功。该方法为食品样品中多种真菌毒素的灵敏分析提供了理想的模型。
更新日期:2020-08-01
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