An ionic liquid-based nanofluid of titanium dioxide nanoparticles for effervescence-assisted dispersive liquid-liquid extraction for acaricide detection
An ionic liquid-based nanofluid of titanium dioxide nanoparticles for effervescence-assisted dispersive liquid-liquid extraction for acaricide detection
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一种基于离子液体的二氧化钛纳米粒子纳米流体，用于泡腾辅助分散液液萃取用于杀螨剂检测
DOI：
10.1016/j.chroma.2017.03.005
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发表时间：
2017-05-12
影响因子：
4.1
通讯作者：
Xu, Donghui
中科院分区：
文献类型：
--
作者：
Wu, Xiaoling;Li, Xin;Xu, Donghui
植食性螨类通常被认为是农业种植的难题，杀螨剂被应用于防治病虫害。但杀螨剂的过量和误用会造成农药残留。建立了一种简单实用的基于离子液体的TiO 2纳米流体、增敏辅助分散液液微萃取（EA-DLLME）方法，用于蜂蜜和茶叶中杀螨剂的高效液相色谱（HPLC-DAD）检测。为了提高纳米流体的稳定性，采用溶剂热法合成了亲油二氧化钛纳米粒子。通过单因素实验优化了萃取条件，包括萃取片组成、离子液体选择、萃取剂组成、纳米流体体积、萃取温度、萃取时间和解吸条件。在优化条件下，该方法的线性范围为0.5-500 μ g L-1，相关系数为0.9985-1.0000。目标分析物的萃取效率为70.70 - 84.58%。检测限和定量限分别为0.04-0.18 μ g L-1和0.13-0.60 μ g L（-1）。日内和日间相对标准偏差（n = 3）的范围为2.32%至5.71%，这表明完美的重复性。总的来说，EA-DLLME方法是节省时间和环境友好的，未来的微萃取的潜力。(C)2017爱思唯尔B. V.保留所有权利。
Phytophagous mites are usually considered a difficult problem for agricultural planting, and acaricides are applied to control diseases and pests. However, the overdose and misusage of acaricides causes pesticide residues. In this work, a simple and practical ionic liquid-based TiO2 nanofluid, effervescence-assisted, dispersive liquid-liquid microextraction (EA-DLLME) method was developed to detect acaricides in honey and tea by high-performance liquid chromatography (HPLC-DAD). Oleophilic TiO2 nanoparticles were synthesized by a facile solvothermal method to obtain greater stability of the nanofluid. The experimental parameters were optimized by a one-factor-at-a-time approach and included the effervescent tablet composition, ionic liquid selection, extractant composition, nanofluid volume, extraction temperature, extraction time and desorption conditions. Under the optimized conditions, the linear ranges of this proposed method were 0.5-500 mu g L-1, with correlation coefficients in the range of 0.9985-1.0000. The extraction efficiencies for the target analytes varied from 70.70 to 84.58%. The detection and quantitation limits were in the ranges of 0.04-0.18 mu g L-1 and 0.13-0.60 mu gL(-1), respectively. The intra- and inter-day relative standard deviations (n = 3) were found to range from 2.32 to 5.71%, which showed perfect repeatability. Overall, the EA-DLLME method was time-saving and environmentally friendly, with future potential for microextraction. (C) 2017 Elsevier B.V. All rights reserved.