Aptasensor based on fluorophore-quencher nano-pair and smartphone spectrum reader for on-site quantification of multi-pesticides.
Aptasensor based on fluorophore-quencher nano-pair and smartphone spectrum reader for on-site quantification of multi-pesticides.
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DOI：
10.1016/j.bios.2018.06.002
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发表时间：
2018-10-15
影响因子：
12.6
通讯作者：
Lin Y
中科院分区：
文献类型：
--
作者：
Cheng N;Song Y;Fu Q;Du D;Luo Y;Wang Y;Xu W;Lin Y
目前用于检测多种农药的技术受到技术复杂性、灵敏度和成本的限制。因此，迫切需要开发新的现场监测专用识别元件和灵敏的信号读出器。在这项工作中，我们开发了一种基于荧光适体的侧流生物传感器（apta-LFB）集成了荧光团猝灭剂纳米对和智能手机光谱阅读器，以实现毒死蜱，二嗪农和马拉硫磷的三靶检测。适体在LFB中作为替代抗体的替代识别元件，提供更好的特异性和稳定性。一种新的荧光团猝灭剂纳米对（量子点纳米珠和金纳米星）被实现以执行“信号开启”而不是“信号关闭”。经优化后，毒死蜱、二嗪农和马拉硫磷的检出限分别为0.73 ng/mL、6.7 ng/mL和0.74 ng/mL。大大增加的灵敏度可能来自于改善的信号和零背景的组合。这种创新的级联策略可以降低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。利用12个蔬菜和水果样品进一步验证了该方法的准确性和实用性。蔬菜样品的加标回收率在82.4%~ 112.8%之间，表明该方法可用于食品中多种农药的检测。这种灵敏的手持式系统有望成为一个强大的工具，实际现场应用的多农药定量程序。
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.
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