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Optimization of Dispersive Liquid-Liquid Microextraction Procedure for Detecting Chlorpyrifos in Human Urine Samples Publisher



Ramin M1 ; Khadem M2 ; Omidi F3 ; Pourhosein M2 ; Golbabaei F2 ; Shahtaheri SJ2, 4
Authors
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Authors Affiliations
  1. 1. Occupational and Environmental Center, Health deputy, Ministry of Health and Medical Education, Tehran, Iran
  2. 2. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Research Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran
  4. 4. Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran

Source: Medical Journal of the Islamic Republic of Iran Published:2019


Abstract

Background: Selecting an effective sample preparation method to measure target pesticides in biological matrices is a serious challenge for researchers. This study aimed to optimize the dispersive liquid-liquid microextraction (DLLME) technique to obtain a simple, valid, and fast method with high efficiency to detect chlorpyrifos in urine samples. Methods: DLLME, coupled with high performance liquid chromatography equipped with ultra violet detector, was used to extract chlorpyrifos pesticide in human urine samples. Different affecting parameters on the efficiency of the method were optimized using one factor at a time method. Results: The limit of detection and enrichment factor of the method was 0.5 and 230 pg L-1, respectively. Linear calibration curve with 1-500 pg L-1 concentration range was used. The relative standard deviation (RSD) for 6 replicate experiments at the concentration of 200 pg L-1 was less than 5%. The relative recoveries of spiked urine samples were 96.3%, 102.3%, and 98.7% at 3 different concentration levels of 50, 200, and 1000 pg L-1, respectively. Conclusion: Compared to other extraction techniques, the optimized DLLME resulted in some advantages such as shorter extraction time, high extraction efficiency, and good enrichment factor for the extraction of chlorpyrifos from human urine samples. © Iran University of Medical Sciences.