Visual artificial tongue for quantitative metal-cation analysis by an off-the-shelf dye array

Jae Wook Lee, Jun Seok Lee, Mira Kang, Andrew I. Su, Young Tae Chang

Research output: Contribution to journalArticlepeer-review

54 Citations (Scopus)

Abstract

A chemical-probe array composed of 47 off-the-shelf dyes was prepared in solution format (New York Tongue 1: NYT-1) and was tested in the identification and quantitation of 47 cation analytes, including 44 metal ions, in addition to H+, NH4+, and tetrabutylammonium (TBA). The cation solutions were tested in a series of concentrations and the fold-change in effective absorbance was analyzed by principal-component analysis (PCA), hierarchical-cluster analysis (HCA), and nearest-neighbor decision to determine both identity and quantity of the analytes. Apart from alkali-metal ions (Na+, K+, Li+, Cs+, and Rb +), which behave very similarly to each other due mainly to their low response, most of the cations were clearly distinguishable at 10 mM concentration. The practical detection limit of each analyte was also determined by a sequential dilution and the nearest-neighbor decision method. In the finalized working analyte concentration range (approximately 10 mM down to 0.33 μM), by considering alkali metals as one analyte group, most of the analytes were correctly identified (99.4%). Furthermore, the success rate at which the concentration of each analyte was correctly determined was also high (96.8%).

Original languageEnglish
Pages (from-to)5691-5696
Number of pages6
JournalChemistry - A European Journal
Volume12
Issue number22
DOIs
Publication statusPublished - 2006 Jul 24
Externally publishedYes

Keywords

  • Alkali metals
  • Cations
  • Dyes/pigments
  • Hierarchical-cluster analysis
  • Principal-component analysis

ASJC Scopus subject areas

  • General Chemistry
  • Catalysis
  • Organic Chemistry

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