Department of Chemistry, Yıldız Technical University, İstanbul, Turkey.
J Environ Sci Health B. 2020;55(12):1041-1047. doi: 10.1080/03601234.2020.1808417. Epub 2020 Aug 19.
The objective of this study was to determine bixafen and fipronil residues in domestic and industrial wastewater, soil and mint samples by binary dispersive liquid-liquid microextraction method (BDLLME) prior to gas chromatography-mass spectrometry (GC-MS). Extraction efficiency for the selected analytes was improved by optimizing the parameters such as solvent type, ratio and volume, dispersive solvent type/volume, mixing type and duration to increase overall analytical performance. Under the optimum chromatographic and extraction conditions, limits of detection values for bixafen and fipronil were determined as 7.3 and 6.1 µg L, respectively. Spiking experiments were performed for domestic and industrial wastewater, soil and mint samples to evaluate applicability and accuracy of the proposed method. Recovery results for the samples were calculated in the range of 89.4%-112.6% via matrix matching calibration strategy. It was determined that the detection power of GC-MS system was improved 7.8 times for bixafen and 119 times for fipronil over LOD comparisons of conventional GC-MS and B-DLLME-GC-MS systems.
本研究旨在通过二元分散液液微萃取法(BDLLME)结合气相色谱-质谱法(GC-MS),测定生活污水和工业废水中、土壤和薄荷样本中的联苯菌胺和氟虫腈残留。通过优化溶剂类型、比例和体积、分散溶剂类型/体积、混合类型和时间等参数,提高所选分析物的萃取效率,以提高整体分析性能。在最佳色谱和萃取条件下,确定联苯菌胺和氟虫腈的检出限分别为 7.3 和 6.1 μg·L。通过基质匹配校准策略,对生活污水和工业废水、土壤和薄荷样本进行加标实验,以评估该方法的适用性和准确性。通过该方法对样本进行回收实验,回收率在 89.4%-112.6%范围内。与传统 GC-MS 和 B-DLLME-GC-MS 系统的 LOD 比较,GC-MS 系统对联苯菌胺的检测能力提高了 7.8 倍,对氟虫腈的检测能力提高了 119 倍。