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用于基于反应的聚集诱导发光发光团的智能手机检测有机磷残留的3D打印便携式荧光传感平台。

3D-Printed, Portable, Fluorescent-Sensing Platform for Smartphone-Capable Detection of Organophosphorus Residue Using Reaction-Based Aggregation Induced Emission Luminogens.

作者信息

Jiao Zhe, Guo Zongning, Huang Xuelin, Yang Jialing, Huang Jianxiang, Liu Yong, Liu Guozhen, Zhang Pengfei, Song Chao, Tang Ben Zhong

机构信息

School of Environment and Civil Engineering, Dongguan University of Technology, Dongguan 523808, China.

Shenzhen Institute of Aggregate Science and Technology, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, Guangdong 518172, China.

出版信息

ACS Sens. 2021 Aug 27;6(8):2845-2850. doi: 10.1021/acssensors.1c01178. Epub 2021 Aug 18.

Abstract

Development of an easy-to-use, low-cost, household device can help the consumer quickly identify an organophosphorus (OP) residue concentration level. In this work, we demonstrate a 3D-printed, portable, fluorescent-sensing platform for smartphone-capable detection of OPs in vegetables. For development of the proposed device, we utilize the smartphone for capturing the strong thiol-activated fluorescence, which was produced by hydrolysis of OPs in the presence of alkali. The thiol-responsive AIEgen (maleimide-functionalized tetraphenylethylene) was non-emissive in both solution and the solid state but could be readily lighted up by the click addition of thiol to its MI pendant. An android application "Detection" has been developed on the basis of the gray value to analyze the different concentration levels of OPs in vegetable samples. The gray value was linearly related with the concentration of five kinds of organophosphorus residue, ranging from 0 to 20 μg/mL. It was also applied for determination of OPs residue in the leaves of cowpea, celery, and Chinese cabbage. Different from acetylcholinesterase enzyme-based sensors for poor stability under high temperature, the proposed method was a direct detection method for OPs and can be used for rapid monitoring of OPs residue concentration levels before LC-MS analysis.

摘要

开发一种易于使用、低成本的家用设备有助于消费者快速识别有机磷(OP)残留浓度水平。在这项工作中,我们展示了一种3D打印的便携式荧光传感平台,用于通过智能手机检测蔬菜中的有机磷。为了开发所提出的设备,我们利用智能手机捕获强硫醇激活荧光,该荧光是在碱存在下有机磷水解产生的。硫醇响应性聚集诱导发光剂(马来酰亚胺功能化四苯乙烯)在溶液和固态中均无发射,但通过向其MI侧链点击添加硫醇可轻易点亮。基于灰度值开发了一款安卓应用程序“检测”,用于分析蔬菜样品中不同浓度水平的有机磷。灰度值与五种有机磷残留浓度呈线性关系,范围为0至20μg/mL。它还被用于测定豇豆、芹菜和大白菜叶片中的有机磷残留。与基于乙酰胆碱酯酶的传感器在高温下稳定性差不同,所提出的方法是一种直接检测有机磷的方法,可用于在液相色谱-质谱分析之前快速监测有机磷残留浓度水平。

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