عنوان
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Determination of Copper in Human Hair and Tea Samples after Dispersive Liquid‑Liquid Microextraction Based on Solidification of Floating Organic Drop (DLLME-SFO)
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نوع پژوهش
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مقاله چاپشده در مجلات علمی
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کلیدواژهها
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dispersive liquid-liquid microextraction, solidification, copper determination, tea and human hair analysis Trace heavy metals are essential micro-nutrients and have a variety of biochemical functions in all living organisms.1-3 Due to the positive and negative effects and the toxicity of trace heavy metals on human health and the environment, many researchers are interested in the analysis of trace metal contents of the environmental and the food samples.4-10 Tea, one of the most widely consumed beverages in the world, is prepared from the young leaves of tea plants. It is considered as a healthy drink that has benefits including the prevention of many diseases.11-13 Although copper is an essential trace element for humans and is an indispensable component for many enzyme systems, Cu can also act as a toxic metal to which a number of pathogenic characteristics have been attributed.14 Therefore, Cu contamination
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چکیده
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A simple method of dispersive liquid-liquid microextraction-solidified floating organic drop (DLLME-SFO) prior to flame atomic absorption spectrometry was successfully used for separating and preconcentrating copper in human hair and tea samples. The proposed method was simple, cheap, and has high precision. In this study, optimization of experimental parameters influencing the extraction, such as type and volume of extraction and disperser solvents, pH, the amount of chelating agent and extraction time was normally carried out using a step-by-step approach, in which each factor was varied sequentially. The effect of the interfering ions on the analytes recovery was also investigated. The calibration graph was linear in the range of 5-200 ng mL−1 with limit of detection of 3.4 ng mL−1. The relative standard deviation (RSD) was 0.7% (n = 10, C = 2 ng mL−1) and the enhancement factor was 28.
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پژوهشگران
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رضیه زاکریان (نفر دوم)، سلیمان بهار (نفر اول)
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