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基于荧光团-猝灭剂纳米对和智能手机光谱读取器的适体传感器,用于现场定量多农药。

Aptasensor based on fluorophore-quencher nano-pair and smartphone spectrum reader for on-site quantification of multi-pesticides.

机构信息

Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, PR China; School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.

School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USA.

出版信息

Biosens Bioelectron. 2018 Oct 15;117:75-83. doi: 10.1016/j.bios.2018.06.002. Epub 2018 Jun 2.

Abstract

Current techniques for the detection of multi-pesticides are limited by technical complexity, sensitivity and cost. There is an urgent demand of developing new specific recognition elements and sensitive signal readouts for on-site monitoring. In this work, we developed a fluorescent aptamer-based lateral flow biosensor (apta-LFB) integrated with fluorophore-quencher nano-pairs and a smartphone spectrum reader to accomplish triple-target detection of chlorpyrifos, diazinon, and malathion. Aptamers serve as alternative recognition elements instead of antibodies in LFB, offering better specificity and stability. A novel fluorophore-quencher nano-pair (quantum dots nanobeads and gold nanostars) was implemented to perform "signal-on" instead of "signal-off". After optimization, detection limit of chlorpyrifos, diazinon, and malathion were determined to be 0.73 ng/mL, 6.7 ng/mL, and 0.74 ng/mL, respectively. Greatly increased sensitivity may come from the combination of improved signal and zero background. This innovative cascade strategy allowed to lower the detection limit of pesticides residue level in food, which is largely considered satisfactory. The accuracy and practicality of this design for effective on-site quantification of multi-pesticides were further confirmed using 12 vegetable and fruit samples. The estimated recoveries were between 82.4% and 112.8% in spiked vegetable samples, which indicated that the developed method is capable for detecting multi-pesticides in food samples. This sensitive handheld-system is promising to become a powerful tool for practical on-site application of multi-pesticide quantification procedures.

摘要

目前多农药检测技术受到技术复杂性、灵敏度和成本的限制。因此,迫切需要开发新的特异性识别元件和灵敏的信号读出技术,用于现场监测。在本工作中,我们开发了一种基于荧光适体的侧向流动生物传感器(apta-LFB),该传感器集成了荧光团猝灭纳米对和智能手机光谱读取器,用于完成对毒死蜱、二嗪磷和马拉硫磷的三重靶标检测。适体作为替代识别元件用于 LFB,与抗体相比具有更好的特异性和稳定性。引入了一种新型荧光团猝灭纳米对(量子点纳米珠和金纳米星)来进行“信号开启”,而不是“信号关闭”。经过优化,毒死蜱、二嗪磷和马拉硫磷的检测限分别确定为 0.73ng/mL、6.7ng/mL 和 0.74ng/mL。灵敏度的大幅提高可能来自于信号增强和背景零化的结合。这种创新的级联策略降低了食品中农药残留水平的检测限,这在很大程度上被认为是令人满意的。通过使用 12 个蔬菜和水果样本,进一步证实了该设计用于有效现场定量多农药的准确性和实用性。在添加蔬菜样本中的回收率在 82.4%到 112.8%之间,表明该方法能够用于检测食品样本中的多农药。这种灵敏的手持式系统有望成为多农药定量程序实际现场应用的有力工具。

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