Dispersive Liquid-Liquid Microextraction Combined with Gas Chromatography-Mass Spectrometry for the Determination of Multiple Pesticides in Celery
文献类型： 外文期刊
作者： Wang, Yaru 1 ; Miao, Xuexue 2 ; Wei, Haifeng 1 ; Liu, Deyun 1 ; Xia, Gaofeng 1 ; Yang, Xiaoyun 1 ;
作者机构： 1.South China Agr Univ, Key Lab Nat Pesticide & Chem Biol, Minist Educ, Guangzhou 510642, Guangdong, Peoples R China
2.Hunan Acad Agr Sci, Hunan Rice Res Inst, Changsha, Hunan, Peoples R China
关键词： Pesticide residue;Celery;GC-MS;QuEChERS;DLLME
期刊名称：FOOD ANALYTICAL METHODS （ 影响因子：3.366； 五年影响因子：3.07 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： A rapid and sensitive method was established to simultaneously determine multiple pesticide residues in celery through gas chromatography-mass spectrometry (GC-MS). Samples were extracted through a modified quick, easy, cheap, effective, robust, and safe method (modified QuEChERS) and then refined and preconcentrated through dispersive liquid-liquid microextraction (DLLME) by using CHCl3 as extractive solvent and acetonitrile (ACN) as dispersive solvent. The main factors, including type of extraction solvent, volume of extraction solvent, volume of dispersive solvent, extraction time, salt concentration, vortex velocity, and pH of aqueous solution, influencing DLLME were initially evaluated by performing single-factor variable experiments; three significant factors, particularly volume of extraction solvent, volume of dispersive solvent, and extraction time, were thoroughly analyzed through response surface methodology. The following optimized extraction conditions were obtained: 100 mu L of CHCl3, 900 mu L of ACN, and 1.62-min extraction time. The optimized method was validated with average recoveries ranging from 70.8 to 93.2 % (with relative standard deviations of < 15 %) at three spiked levels for all of the pesticides. Good linearity with determination coefficients of > 0.9974 was obtained on the basis of the matrix-matched calibration curve of each pesticide; limits of detection ranging from 2.4 to 14.2 mu g/kg indicated high sensitivity. Malathion with concentrations varying from 0.009 to 0.012 mg/kg was detected in all of the samples; other pesticides were not detected.
- 相关文献
作者其他论文 更多>>
-
Only you can check my data: certificateless and designed-verifier auditing of multi-cloud storage with faults localization
作者：Miao, Ying;Miao, Yapeng;Miao, Xuexue
关键词：Certificateless signature; Designed-verifier auditing; Multi-cloud storage; Faults localization
-
Blockchain-based transparent and certificateless data integrity auditing for cloud storage
作者：Miao, Yapeng;Miao, Ying;Miao, Xuexue
关键词：blockchain; certificateless cryptography; data integrity auditing; transparency
-
Biological Roles of Lipids in Rice
作者：Zhou, Kun;Luo, Zhengliang;Huang, Weidong;Liu, Zemin;Miao, Xuexue;Tao, Shuhua;Wang, Jiemin;Zeng, Xiaoshan;Zhang, Jian;Wang, Shiyi
关键词：rice (Oryza sativa L.); lipids; genetic improvement; grain quality; pollen fertility; seed germination; seed longevity; biotic stress; abiotic stress; yield
-
Natural Contamination of Rice with Ustiloxins and the Connection with Climate Conditions in Southern China
作者：Miao, Xuexue;Zheng, Huabin;Tang, Qiyuan;Miao, Xuexue;Tao, Shuhua;Kuang, Na;Wang, Jiemin;Miao, Ying;Liu, Yang
关键词：ustiloxins; rice; LC-MS/MS; agroclimatic conditions; food safety
-
Measurement of nitrogen content in rice plant using near infrared spectroscopy combined with different PLS algorithms
作者：Miao, XueXue;Zheng, HuaBin;Wang, WeiQin;Tang, QiYuan;Miao, XueXue;Tao, ShuHua;Wang, JieMin;Miao, Ying;Liu, Yang
关键词：Oryza sativa; Near-infrared spectroscopy; Partial least squares regression; Nitrogen content; Characteristic selection
-
Feedback Convolutional Network for Intelligent Data Fusion Based on Near-Infrared Collaborative IoT Technology
作者：Cai, Ken;Lin, Qinyong;Chen, Huazhou;Ai, Wu;Feng, Quanxi;Chen, Huazhou;Ai, Wu;Feng, Quanxi;Miao, Xuexue
关键词：Feature extraction; Convolution; Data models; Computer architecture; Calibration; Predictive models; Data mining; Collaborative IoT framework; convolutional neural network; error-feedback mechanism; feature fusion; near-infrared data; paddy rice
-
Classification of rice based on storage time by using near infrared spectroscopy and chemometric methods
作者：Miao, XueXue;Tao, ShuHua;Chen, Zuwu;Wang, JieMin;Huang, WeiDong;Yu, YaYing;Miao, Ying;Liu, DengBiao
关键词：Rice; Classification model; Near infrared spectroscopy; Knearest neighbor; Storage; Chemometrics
