检出限
深共晶溶剂
响应面法
碳纳米管
萃取(化学)
共晶体系
材料科学
Box-Behnken设计
固相萃取
溶剂
色谱法
化学
纳米技术
有机化学
复合材料
微观结构
作者
Jing Zhao,Zhaorui Meng,Zexin Zhao,Longshan Zhao
出处
期刊:Food Chemistry
[Elsevier]
日期:2019-12-04
卷期号:310: 125863-125863
被引量:84
标识
DOI:10.1016/j.foodchem.2019.125863
摘要
A green and highly efficient ultrasound-assisted deep eutectic solvent extraction combined with functionalized magnetic multi-walled carbon nanotubes solid-phase extraction method for determination of seven pesticide residues in food products was developed. Various types of deep eutectic solvents (DESs) were screened for high extraction efficiencies and DES composing of proline and propylene glycol at 1:3 M ratio was selected as it exhibited highest yields. Extraction conditions were statistically optimized through response surface methodology using a Box-Behnken design. The established method was linear, precise, and accurate over the range of 0.1-50 μg mL-1. Limit of detection and limit of quantification were in the range of 0.02-0.05 μg mL-1 and 0.05-0.10 μg mL-1, respectively. The mean recoveries for pesticides ranged from 76.09 to 97.96% with relative standard deviation of 0.13-10.05%. The proposed method was successfully applied to analysis of the pesticides in real samples, which is a potentially promising technique for food matrix.
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