Dalgıç Bozyiğit Gamze, Fırat Ayyıldız Merve, Selali Chormey Dotse, Onkal Engin Güleda, Bakırdere Sezgin
Department of Environmental Engineering, Faculty of Civil Engineering, Yıldız Technical University, İstanbul, Turkey.
Department of Chemistry, Faculty of Art and Science, Yıldız Technical University, İstanbul, Turkey.
Environ Toxicol Chem. 2021 Jun;40(6):1570-1575. doi: 10.1002/etc.5020. Epub 2021 Apr 14.
Pharmaceutical products are widely consumed globally and are commonly found in wastewaters as a result of constant excretion and disposal into sewers. The present study proposes an efficient binary solvent dispersive liquid-liquid microextraction (BS-DLLME) method that was developed for preconcentration of 7 nervous system drug active compounds from aqueous media for their determination at trace levels by gas chromatography-mass spectrometry. The drug analytes included 3 antidepressants, 2 antipsychotics, 1 antiepileptic, and 1 antidementia. Optimum conditions of the BS-DLLME method were acquired by univariate optimization of parameters including type of binary solvents, ratio of binary solvents, type of disperser solvent, volume of binary solvents, and volume of disperser solvent. Detection and quantification limits were calculated in the range of 0.28 to 6.5 µg/L. Municipal wastewater, medical wastewater, synthetic domestic wastewater, and lake water were utilized as real samples in spike recovery experiments; and the results (94-106%) indicated the method's applicability and accuracy at quantifying the analytes in complex matrices. Environ Toxicol Chem 2021;40:1570-1575. © 2021 SETAC.
药品在全球范围内被广泛使用,由于持续排泄和排入下水道,在废水中很常见。本研究提出了一种高效的二元溶剂分散液液微萃取(BS-DLLME)方法,该方法用于从水介质中预富集7种神经系统药物活性化合物,以便通过气相色谱-质谱法对其痕量水平进行测定。药物分析物包括3种抗抑郁药、2种抗精神病药、1种抗癫痫药和1种抗痴呆药。通过对二元溶剂类型、二元溶剂比例、分散剂溶剂类型、二元溶剂体积和分散剂溶剂体积等参数进行单变量优化,获得了BS-DLLME方法的最佳条件。检测限和定量限在0.28至6.5μg/L范围内计算。在加标回收率实验中,将城市污水、医疗废水、合成生活污水和湖水用作实际样品;结果(94-106%)表明该方法在复杂基质中定量分析物的适用性和准确性。《环境毒理学与化学》2021年;40:1570-1575。©2021 SETAC。