Nanocomposites-based nitrated polyethersulfone and doped ZnYNiO for selective As3+ sensor application

Mohammed M. Rahman, Noof A. Alenazi, Mahmoud A. Hussein, Md Mahmud Alam, Khalid A. Alamry, Abdullah M. Asiri

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

The contamination of arsenic (As3+) cation in drinking water is one of the most well-known sources for human arsenic poison. Due to its high toxicity to human, there is a need to develop an efficient and low-cost method to detect it in aquatic environment. A sensor of nitrated polyethersulfone (PES-NO2) doped with ZnYNiO nanocomposites was successfully fabricated. PES-NO2 was synthesized in this study using H2SO4: HNO3 while ZnYNiO nanoparticles were fabricated using wet-chemical technique under low temperature and basic condition. The results of Fourier transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD) analysis did confirm the interactions between the doped nanoparticles and nitro functions grafted on PES backbone. The developed polymeric nanocomposite (PES-NO2-ZnYNiO) was then used as a superb coating sensor for As3+. The working electrode of desire heavy metal ion sensor was fabricated by glassy carbon electrode (GCE) coated with PES-NO2-ZnYNiO nanocomposites as layer of thin film. To estimate the cationic sensor performances, a calibration curve obtained from current versus electrolyte (selective As3+ ion) concentration relation was plotted. The linearity of calibration curve is found over the linear dynamic range (LDR) of 0.1 nM~0.1 mM. The slope of calibration curve is used to measure the sensitivity and detection limit (DL) of As3+ cation sensor, and these are 9.8101 μA μM−1cm−2 and 96.77 ± 4.84 pM, respectively. Therefore, the As3+ ion sensor is found as selective with good sensitivity, reproducible with high accuracy, validated in real environmental samples, long-term stability in aqueous medium, and highly active with short response time.

Original languageEnglish
Pages (from-to)3689-3700
Number of pages12
JournalAdvances in Polymer Technology
Volume37
Issue number8
DOIs
StatePublished - Dec 2018
Externally publishedYes

Keywords

  • arsenic sensor
  • characterization
  • electrochemical method
  • environmental safety
  • nitrated polyethersulfone ZnYNiO
  • sensitivity
  • synthesis

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