中文摘要：本文开发了一个可以对混合油样本中两种抗氧化剂（丁基羟基茴香醚（BHA）、二丁基羟基甲苯（BHT））和十二种农药（敌敌畏、抗蚜威、丙硫磷、杀螟硫磷、灭线磷、马拉硫磷、氯氰菊酯、丙溴磷、二嗪磷、残杀威、腐霉利、克菌丹）残留进行同时检测的方法。该方法的构建经过两步筛选和优化实验设计，通过Plackett-Burman试验设计和筛选试验发现显著参数，通过中心复合设计（CCD）实验完成的单因子实验进行重要参数优化。结果显示，决定系数范围为0.9931-0.9996，定量限和检测限分别在0.002-0.04mg/kg和0.0006-0.0012mg/kg之间。在残留浓度为 0.05 -0.20 mg/kg范围时，回收率大于74%，同时相对标准差小于10% 。总之，该方法具有检测时间短和试剂用量少的优点，可以应用于对各种抗氧化剂和农药残留的检测。
外文摘要：This article developed a method to detect two antioxidants (butylated hydroxyl anisole (BHA), butylated hydroxyl toluene (BHT)) and twelvepesticides (dichlorvos, pirimicarb, prothiofos, fenitrothion, ethoprophos, malathion, beta-Cypermethrin, profenofos, diazinon, propoxur, procymidon, captan) in blended oil samples after their extraction simultaneously. The establishment of the method was based on two-step process of screening and optimization experiment design. With a Plackett-Burman (PB) design, significant parameters were found by screening experiment and single factor experiment accompanied by a central composite design (CCD) experiment were used to make important parameters optimal. The coefficients of determination (r(2)) was between 0.9931 and 0.9996 while the limits of quantification (LOQs) and limits of detection (LODs) were found in scope of 0.002-0.04 mg.kg(-1) and 0.0006-0.0012 mg.kg(-1). Recovery values of analytes were above 74%, at the same time the relative standard deviations (RSDs) under 10% at the concentrations ranging from 0.05 mg.kg(-1) to 0.20 mg.kg(-1). To sum up, this method with shorter time and fewer consumption of reagents could be employed in various occasions to detect antioxidants and pesticides. (C) 2017 Elsevier Ltd. All rights reserved.
外文关键词：Antioxidants, Pesticides, Plackett-Burman experiment, Central composite design, Dispersive solid phase extraction
作者：Fang, Yong; Tian, Wen; Pei, Fei; Li, Peng; Shao, XiaoLong; Fan, Yan; Hu, Qiuhui
作者单位：Nanjing Univ Finance & Econ, Key Lab Grains & Oils Qual Control & Proc, Collaborat Innovat Ctr Modern Grain Circulat & Sa, Coll Food Sci & Engn, Nanjing 210023, Jiangsu, Peoples R China.
期刊名称：Food Chemistry
期刊影响因子：4.052
出版年份：2017
出版刊次：8
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