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基于六方核壳上转换纳米粒子作为发光探针的赭曲霉毒素 A 超灵敏适体传感器。

An ultrasensitive aptasensor for Ochratoxin A using hexagonal core/shell upconversion nanoparticles as luminophores.

机构信息

State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; Taicang Entry-Exit Inspection and Quarantine Bureau, Suzhou 215400, China.

State Key Laboratory of Food Science and Technology, Synergetic Innovation Center of Food Safety and Nutrition, School of Food Science and Technology, Jiangnan University, Wuxi 214122, China; School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China.

出版信息

Biosens Bioelectron. 2017 May 15;91:538-544. doi: 10.1016/j.bios.2017.01.009. Epub 2017 Jan 6.

Abstract

We developed an ultrasensitive luminescence resonance energy transfer (LRET) aptasensor for Ochratoxin A (OTA) detection, using core/shell upconversion nanoparticles (CS-UCNPs) as luminophores. The OTA aptamer was tagged to CS-UCNPs as energy donor and graphene oxide (GO) acted as energy acceptor. The π-π stacking interaction between the aptamer and GO brought CS-UCNPs and GO in close proximity hence initiated the LRET process resulting in quenching of CS-UCNPs luminescence. A linear calibration was obtained between the luminescence intensity and the logarithm of OTA concentration in the range from 0.001ngmL to 250ngmL, with a detection limit of 0.001ngmL. The aptasensor showed good specificity towards OTA in beer samples. The ultrahigh sensitivity and pronounced robustness in beer sample matrix suggested promising prospect of the aptasensor inpractical applications.

摘要

我们开发了一种超灵敏的光致发光共振能量转移(LRET)适体传感器,用于赭曲霉毒素 A(OTA)的检测,使用核/壳上转换纳米粒子(CS-UCNPs)作为发光体。OTA 适体被标记到 CS-UCNPs 作为能量供体,而氧化石墨烯(GO)则作为能量受体。适体与 GO 之间的π-π堆积相互作用使 CS-UCNPs 和 GO 紧密接近,从而引发 LRET 过程,导致 CS-UCNPs 发光猝灭。在 0.001ngmL 至 250ngmL 的范围内,发光强度与 OTA 浓度的对数之间呈现出良好的线性校准关系,检测限为 0.001ngmL。该适体传感器在啤酒样品中对 OTA 具有良好的特异性。在啤酒样品基质中表现出超高的灵敏度和显著的稳健性,表明该适体传感器在实际应用中有很好的应用前景。

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