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纳米酶增强型纸质生物芯片与智能手机读取系统结合,用于快速检测水中的蓝藻毒素。

Nanozyme enhanced paper-based biochip with a smartphone readout system for rapid detection of cyanotoxins in water.

机构信息

State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing, 100084, China.

State Key Joint Laboratory of ESPC, School of Environment, Tsinghua University, Beijing, 100084, China.

出版信息

Biosens Bioelectron. 2022 Jun 1;205:114099. doi: 10.1016/j.bios.2022.114099. Epub 2022 Feb 21.

Abstract

Cyanobacterial harmful algal blooms in freshwater systems can produce cyanotoxins, such as microcystins (MCs) and nodularins (NODs), presenting serious threats to human health and ecosystems. Required routine monitoring of cyanotoxins in water samples, as posed by U.S. EPA drinking water contaminant candidate list 5 (CCL5), demands for cost-effective, reliable and sensitive MCs/NODs detection methods. We report the development of a colorimetric paper-based immunochip assisted by nanozyme catalysis with a smartphone readout system for rapid detection of cyanotoxins in water. We show that the introduction of biorthogonal click reaction enables in situ facile self-assembly of multi-layers of peroxidase-like nanozyme onto the anti-MCs/NODs monoclonal antibody. We can detect 13 variants of MCs/NODs even in the sub-microgram per liter range with detection limit of below 0.7 μg/L and satisfactory recovery percentages between 88 and 120% in different water matrices. Our technology shows a good correlation with the well-developed ELISA technology, demonstrating its great potential applications in resource-limited or less-developed regions for on-site and large-scale screening of cyanotoxins in water environment.

摘要

淡水系统中的蓝藻有害藻华会产生蓝藻毒素,如微囊藻毒素 (MCs) 和节球藻毒素 (NODs),对人类健康和生态系统构成严重威胁。美国环保署饮用水污染物候选清单 5 (CCL5) 要求对水样中的蓝藻毒素进行常规监测,因此需要经济高效、可靠和灵敏的 MCs/NODs 检测方法。我们报告了一种利用纳米酶催化和智能手机读取系统辅助的比色纸基免疫芯片的开发,用于快速检测水中的蓝藻毒素。我们表明,引入生物正交点击反应能够使过氧化物酶样纳米酶在抗 MCs/NODs 单克隆抗体上原位轻松地自组装成多层。我们可以检测到 13 种 MCs/NODs 变体,即使在亚微克/升范围内,检测限低于 0.7μg/L,在不同的水基质中回收率在 88%至 120%之间令人满意。我们的技术与发达的 ELISA 技术具有良好的相关性,表明其在资源有限或欠发达地区具有很大的应用潜力,可用于现场和大规模筛选水环境中的蓝藻毒素。

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