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Cited 48 time in webofscience Cited 54 time in scopus
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Visual artificial tongue for quantitative metal-cation analysis by an off-the-shelf dye array SCIE SCOPUS

Title
Visual artificial tongue for quantitative metal-cation analysis by an off-the-shelf dye array
Authors
Lee, Jae WookLee, Jun-SeokKang, MiraSu, Andrew I.Chang, Young-Tae
Date Issued
2006-07
Publisher
WILEY-V C H VERLAG GMBH
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 mu m), 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 %).
Keywords
MOLECULAR RECOGNITION; SENSOR ARRAYS; WATER
URI
https://oasis.postech.ac.kr/handle/2014.oak/50266
DOI
10.1002/chem.200600307
ISSN
0947-6539
Article Type
Article
Citation
CHEMISTRY-A EUROPEAN JOURNAL, vol. 12, no. 22, page. 5691 - 5696, 2006-07
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