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智能手机辅助的微阵列免疫传感器与基于 GO 的多阶段信号放大策略相结合,用于高灵敏度检测冈田酸。

A smartphone-assisted microarray immunosensor coupled with GO-based multi-stage signal amplification strategy for high-sensitivity detection of okadaic acid.

机构信息

Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China.

Institute of Eco-Environmental Forensics, Qingdao Institute of Humanities and Social Sciences, Shandong University, China.

出版信息

Talanta. 2022 Sep 1;247:123567. doi: 10.1016/j.talanta.2022.123567. Epub 2022 May 21.

DOI:10.1016/j.talanta.2022.123567
PMID:35623247
Abstract

Okadaic acid (OA) is one of the main virulence factors of diarrheal shellfish toxins (DSP), which can cause acute carcinogenic or teratogenic effects after ingestion of contaminated shellfish. Therefore, high-sensitivity and fast detection of OA is a key to preventing the occurrence of safety accidents. In this paper, we effectively established a smartphone-assisted microarray immunosensor combined with an indirect competitive ELISA (iELISA) for quantitative colorimetric detection of OA. To further improve the detection sensitivity and match the smartphone imaging, a novel graphene oxide (GO) composite probe was developed to realize the multi-stage signal amplification. The system exhibited a wide linear range for the detection of OA (0.02-33.6 ng ·mL) with low detection limit of 0.02 ng ·mL. The recovery of OA in spiked shellfish samples was in the range of 80%-103.5%, which indicates the good applicability of this biosensor. The whole detection system has advantages of simplicity, low cost, high sensitivity and portability, which is expected to be a powerful alternative tool for on-site detecting and early warning of the pollution of marine products.

摘要

冈田酸(OA)是腹泻性贝类毒素(DSP)的主要毒力因子之一,食用受污染的贝类后会引起急性致癌或致畸作用。因此,高灵敏度和快速检测 OA 是预防安全事故发生的关键。在本文中,我们有效地建立了一种智能手机辅助的微阵列免疫传感器,结合间接竞争 ELISA(iELISA),用于 OA 的定量比色检测。为了进一步提高检测灵敏度并与智能手机成像相匹配,开发了一种新型的氧化石墨烯(GO)复合探针,以实现多阶段信号放大。该系统对 OA 的检测表现出宽的线性范围(0.02-33.6 ng·mL),检测限低至 0.02 ng·mL。在贝类样品中添加 OA 的回收率在 80%-103.5%范围内,表明该生物传感器具有良好的适用性。整个检测系统具有简单、低成本、高灵敏度和便携性的优点,有望成为现场检测和早期预警海产品污染的有力替代工具。

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