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2018
DOI: 10.2116/analsci.18p086
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Separation and Preconcentration of Nickel(II) from Drinking, Spring, and Lake Water Samples with Amberlite CG-120 Resin and Determination by Flame Atomic Absorption Spectrometry

Abstract: In this study, Amberlite CG-120 adsorbent was used for the separation/preconcentration of Ni(II) ions in commercial drinking, spring and lake water samples before detection by flame atomic absorption spectrometry. Various optimization parameters for Ni(II) determination, such as pH, eluent type and concentration, sample and eluent flow rates, amount of adsorbent, were investigated to obtain better sensitivity, accuracy, precision and quantitative recovery. Furthermore, the interference effects of some ions on … Show more

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Cited by 6 publications
(2 citation statements)
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“…Multiple approaches to preconcentrate and separate Ni(II) have lately been published in the literature, including cloud point extraction [4][5][6][7][8][9][10][11][12], solid-phase extraction [13][14][15][16], membrane filteration [17], and co-precipitation [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…Multiple approaches to preconcentrate and separate Ni(II) have lately been published in the literature, including cloud point extraction [4][5][6][7][8][9][10][11][12], solid-phase extraction [13][14][15][16], membrane filteration [17], and co-precipitation [18][19][20].…”
Section: Introductionmentioning
confidence: 99%
“…The most widely used analytical methods to detect the presence of contaminants in real samples are: atomic absorption spectroscopy (AAS) [6,7], atomic emission spectroscopy (AES) [8,9], mass spectroscopy (MS) [10,11] and chromatography methods [12,13]. All of them have excellent sensitivity and reproducibility, however, their protocols for sample preparation are time-consuming [14][15][16][17][18] and they require very expensive and sophisticated apparatuses, handled by welltrained personnel. For these reasons, it is worth exploring possible easier and lower-cost alternatives.…”
Section: Introductionmentioning
confidence: 99%