Multicolor nitrogen dots for rapid detection of thiram and chlorpyrifos in fruit and vegetable samples
Multicolor nitrogen dots for rapid detection of thiram and chlorpyrifos in fruit and vegetable samples
复制标题
多色氮点快速检测水果和蔬菜样品中的福美双和毒死蜱
DOI：
10.1016/j.aca.2020.08.038
复制
发表时间：
2020-11-01
影响因子：
6.2
通讯作者：
Hu, Yuling
中科院分区：
文献类型：
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作者：
Tang, Zhijiao;Chen, Zhengyi;Hu, Yuling
开发灵敏的荧光传感器和高效的样品制备是复杂样品中农药检测的一个挑战。在本研究中，以5-氨基-1H-四氮唑和对苯二胺为前驱体，在140℃下微波辐射10min，合成了荧光量子产率高达31%的多色氮点。此外，将M-Ndots作为荧光传感器与气膜分离装置相结合用于农药检测，以消除复杂样品基质的干扰。在这一过程中，M-Ndots分别通过与Cu2+和Fe3+的亲和力被用于传感福美双和毒死蜱。由于福美双可以分解成挥发性的CS2，其衍生物可以通过与Cu2+的络合反应，利用M-Ndots的荧光进行传感。毒死蜱由于其挥发性，可以通过抑制乙酰胆碱酯酶的活性来还原Fe3+离子，乙酰胆碱酯酶产生过氧化氢来氧化Fe2+。在实际应用中，该气膜分离装置一次运行96个样品的时间不超过30min。福美双和毒死蜱的回收率在90.0%~115.0%之间，并用LC-MS/MS方法对分析结果进行了验证，相对误差在-7.4%~10.1%之间。(C)2020爱思唯尔B.V.保留所有权利。
The development of sensitive fluorescence sensors and efficient preparation of samples is a challenge in the detection of pesticides in complex samples. In this study, multicolor nitrogen dots (M-Ndots) were synthesised via microwave irradiation at 140 degrees C for 10 min with 5-amino-1H-tetrazole and p-phenylenediamine as precursors, which have a high fluorescence quantum yield of up to 31%. Furthermore, the M-Ndots were employed as fluorescence sensors for pesticide detection by being combined with a gas membrane separation device, to eliminate the interference from the complex sample matrix. In this process, the M-Ndots were used for sensing thiram and chlorpyrifos through their affinities to Cu2+ and Fe3+, respectively. Because thiram could decompose into volatile CS2, its derivate was sensed using the fluorescence of M-Ndots via a complexation reaction with Cu2+. Chlorpyrifos, due to its volatility, can reduce the Fe3+ ion by inhibiting the activity of acetylcholinesterase, which produces H2O2 to oxidise Fe2+. In a real application, the time consumption for 96 samples was less than 30 min in one run of the gas membrane separation device. The recoveries for thiram and chlorpyrifos ranged from 90.0% to 115.0%, and the analytical results were validated using LC-MS/MS methods, with relative errors ranging from -7.4% to 10.1%. (C) 2020 Elsevier B.V. All rights reserved.