4.7 Article

pH-dependent selective ion exchange based on (ethylenediamintetraacetic acid-nickel)-layered double hydroxide to catalyze the polymerization of aniline for detection of Cu2+ and Fe3+

期刊

TALANTA
卷 187, 期 -, 页码 287-294

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.talanta.2018.04.102

关键词

(EDTA-Ni)-LDH; Polymerization of aniline; Copper ion; Ferric ion; pH-dependent ion exchange

资金

  1. Jiangsu University of Science and Technology
  2. National University of Singapore
  3. National Natural Science Foundation of China [21705060, 21605031, 21605105]
  4. Natural Science Foundation of Jiangsu Province, China [BK20170570]
  5. College Natural Science Foundation of Jiangsu Province, China [17KJB150014]
  6. Six Talent Peaks Project in Jiangsu Province, China [SWYY-021]

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A pH-dependent selective ion exchange coupled with catalytic polymerization of aniline has been developed for sensitive detection of copper (Cu2+) and ferric ions (Fe3+). Ethylenediamintetraacetic acid (EDTA) chelated with nickel ion (Ni2+) were intercalated in a layered double hydroxide via a co-precipitation reaction': The product was subsequently applied as sorbent for the enrichment of Cu2+ at pH 6.5 and Fe3+ at pH 4.5. Since both Cu2+ and Fe3+ have stronger complex formation constants with EDTA, Ni2+ exchanges with Cu2+/Fe2+ selectively. The resulting sorbent containing Cu2+/Fe3+ was transferred to catalyze the aniline polymerization reaction, since Cu2+/Fe3+ could be released by the sorbent effectively at different pH values and have high catalytic abilities for the polymerization reaction. The resulting polyaniline with different colors were produced at different pH values, an observation that was utilized to distinguish between the colorimetric signals of Cu2+ and Fe3+. The extraction temperature, extraction time, catalysis time and pH were optimized. The results showed that this method provided low limits of detection of 0.1 nM (6.4 ng/L) for Cu2+, 1 nM (56 ng/L) for Fe3+, wide linear ranges (0.0005-2.5 mu M, and 0.005-5 mu M, respectively), and good linearities (r(2) values of 0.9904, and 0.9965, respectively). The optimized method was applied to river water samples. Using Cu2+/Fe3+ as examples, this work provided a new and interesting approach for the convenient and efficient detection of metal ions in aqueous samples.

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