UFSM - Federal University of Santa Maria, Chemistry Department, Center of Research and Analysis of Residues and Contaminants (CEPARC), Campus, 97105-900 Santa Maria, RS, Brazil.
UFSM - Federal University of Santa Maria, Chemistry Department, Center of Research and Analysis of Residues and Contaminants (CEPARC), Campus, 97105-900 Santa Maria, RS, Brazil.
Talanta. 2018 Jul 1;184:202-209. doi: 10.1016/j.talanta.2018.03.009. Epub 2018 Mar 8.
In order to evaluate the efficiency of biobeds on DTC degradation, the aim of this study was to apply, optimize and validate a method to determine dithiocarbamate (mancozeb) in biobeds using gas chromatography-tandem mass spectrometry (GC-MS). The DTC pesticide mancozeb was hydrolysed in a tin (II) chloride solution at 1.5% in HCl (4 mol L), during 1 h in a water bath at 80 °C, and the CS formed was extracted in isooctane. After cooling, 1 mL of the organic layer was transferred to an auto sampler vial and analyzed by GC-MS. A complete validation study was performed and the following parameters were assessed: linearity of the analytical curve (r), estimated method and instrument limits of detection and limits of quantification (LODm, LODi, LOQm and LOQi, respectively), accuracy (recovery%), precision (RSD%) and matrix effects. Recovery experiments were carried out with a standard spiking solution of the DTC pesticide thiram. Blank biobed (biomixture) samples were spiked at the three levels corresponding to the CS concentrations of 1, 3 and 5 mg kg, with seven replicates each (n = 7). The method presented satisfactory accuracy, with recoveries within the range of 89-96% and RSD ≤ 11%. The analytical curves were linear in the concentration range of 0.05-10 µg CS mL (r > 0.9946). LODm and LOQm were 0.1 and 0.5 mg CS kg, respectively, and the calculated matrix effects were not significant (≤ 20%). The validated method was applied to 80 samples (biomixture), from sixteen different biobeds (collected at five sampling times) during fourteen months. Ten percent of samples presented CS concentration below the LOD (0.1 mg CS kg) and 49% of them showed results below the LOQ (0.5 mg CS kg), which demonstrates the biobeds capability to degrade DTC.
为了评估生物床对 DTC 降解的效率,本研究旨在应用、优化和验证一种使用气相色谱-串联质谱法(GC-MS)测定生物床中代森锰锌(代森锰)的方法。DTC 农药代森锰在 1.5%的盐酸(4mol/L)中的氯化亚锡(II)溶液中于 80°C 的水浴中水解 1 小时,形成的 CS 用异辛烷萃取。冷却后,将 1mL 有机层转移到自动进样瓶中,并用 GC-MS 进行分析。进行了完整的验证研究,并评估了以下参数:分析曲线的线性(r)、估计的方法和仪器检测限和定量限(LODm、LODi、LOQm 和 LOQi)、准确度(回收率%)、精密度(RSD%)和基质效应。用 DTC 农药福美双的标准添加溶液进行了回收率实验。用空白生物床(生物混合物)样品在 CS 浓度为 1、3 和 5mgkg 的三个水平上进行加标,每个水平重复 7 次(n=7)。该方法具有令人满意的准确度,回收率在 89-96%范围内,RSD≤11%。分析曲线在 0.05-10μg CS mL 的浓度范围内呈线性(r>0.9946)。LODm 和 LOQm 分别为 0.1 和 0.5mg CS kg,计算的基质效应不显著(≤20%)。验证后的方法应用于 14 个月内 16 个不同生物床(5 个采样时间采集)的 80 个样品(生物混合物)。10%的样品 CS 浓度低于检测限(0.1mg CS kg),49%的样品 CS 浓度低于定量限(0.5mg CS kg),这表明生物床能够降解 DTC。