Selective recognition of arsenic by tailoring ion-imprinted polymer for ICP-MS quantification

Yeuk Ki Tsoi, Yee Man Ho, Kelvin S Y LEUNG*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

A novel arsenic-ion imprinted polymer (As-IIP) was firstly synthesized for the separation and recovery of trace elemental As from environmental water samples. Polymers prepared from bifunctional monomers with intrinsic metal-binding capability are a platform for tailoring ion-selectivity via imprinting moiety-template interaction, without complex formation and ligand immobilization. In the present study, As-IIPs based on 1-vinylimidazole, 4-vinylpyridine and styrene were designed to investigate the imprinting mechanism in relation to their structural and functional properties. In terms of selectivity as well as imprinting effects compared with the non-imprinted polymer (NIP), 1-vinylimidazole-based As-IIP exhibited superior analyte recognition for As ion among 23 competing elements, with a 25-fold enhancement in the practical dynamic and static adsorption capacity range (0.048-4.925 μmol g-1). The robust As-IIP sorbent features good reusability up to 20 cycles and a wide working pH 5-7 for a firstly reported solid-phase extraction (SPE) application. As a result of selective sample clean-up, As-IIP-SPE offered limits of detection (LOD) and quantification (LOQ) down to 0.025 and 0.083 μmol L-1, respectively, for environmental sample analysis using inductively coupled plasma-mass spectrometry.

Original languageEnglish
Pages (from-to)162-168
Number of pages7
JournalTalanta
Volume89
DOIs
Publication statusPublished - 30 Jan 2012

Scopus Subject Areas

  • Analytical Chemistry

User-Defined Keywords

  • Arsenic
  • Inductively coupled plasma-mass spectrometry
  • Ion recognition
  • Ion-imprinted polymer
  • Solid-phase extraction

Fingerprint

Dive into the research topics of 'Selective recognition of arsenic by tailoring ion-imprinted polymer for ICP-MS quantification'. Together they form a unique fingerprint.

Cite this