Nonanoic Acid-Coated Magnetite Nanoparticles for Separation and Preconcentration of Lead and Copper in Tobacco Samples prior to Flame Atomic Absorption Spectrometry Determination
| Autor: | Wei Kang, Jiangfeng Huang, Hong Liu, Dongling Meng, Wu Jingjing, Yaling Yang, Shouai Feng, Li Xiaolan, Jiao Zhao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Detection limit
lead flame atomic absorption spectrometry Chromatography 010401 analytical chemistry Extraction (chemistry) Nonanoic acid chemistry.chemical_element Nanoparticle 02 engineering and technology General Chemistry 021001 nanoscience & nanotechnology Mass spectrometry 01 natural sciences Copper 0104 chemical sciences magnetic solid phase extraction chemistry.chemical_compound Adsorption chemistry Desorption copper tobacco samples 0210 nano-technology |
| Zdroj: | Journal of the Brazilian Chemical Society v.29 n.1 2018 Journal of the Brazilian Chemical Society Sociedade Brasileira de Química (SBQ) instacron:SBQ Journal of the Brazilian Chemical Society, Volume: 29, Issue: 1, Pages: 125-132, Published: JAN 2018 |
| Popis: | A new method using nonanoic acid-coated magnetic Fe3O4 nanoparticles as adsorbent has been developed for the single-step extraction and preconcentration of lead and copper in tobacco samples. Transmission electron microscopy and X-ray diffraction spectrometry were used to characterize the adsorbent. The experimental parameters affecting extraction efficiency, including amount of nanoparticles, volume of chelating reagents, sample pH, ultrasonic time and desorption conditions were investigated. The analytes desorbed from nanoparticles were determined by flame atomic absorption spectrometry. Under the optimum conditions, good linearity was obtained in the range of 2-400 µg L-1 for copper and 5-800 µg L-1 for lead (r > 0.998, p < 0.05). The limits of detection for copper and lead were 0.2 and 0.5 µg L-1, with enrichment factors of 45 and 52, respectively. The method was successfully employed to tobacco sample analysis and got excellent recoveries between 89.2 and 100.7% with relative standard deviations (n = 6) of 4.5-5.9%. |
| Databáze: | OpenAIRE |
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