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The Use of Cyclic Voltammetry and Principal Component Analysis for the Rapid Evaluation of Selectivity of Conductive Polymer Sensors
Author(s) -
Nguyen Tuan A.,
Kokot Serge,
Ongarato Daniela M.,
Wallace Gordon G.
Publication year - 2000
Publication title -
electroanalysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 128
eISSN - 1521-4109
pISSN - 1040-0397
DOI - 10.1002/(sici)1521-4109(200002)12:2<89::aid-elan89>3.0.co;2-2
Subject(s) - microelectrode , methylamine , multielectrode array , cyclic voltammetry , principal component analysis , conductive polymer , electroactive polymers , polymer , materials science , detector , electrolyte , voltammetry , electrode , analytical chemistry (journal) , nanotechnology , chemistry , computer science , electrochemistry , chromatography , composite material , organic chemistry , telecommunications , artificial intelligence
Principal component analysis (PCA) was applied to cyclic voltammetric data obtained using a microelectrode array containing nine different conducting electroactive polymers. The array was immersed into two different supporting electrolytes containing potassium and methylamine. The objective was to build a method for selection of conducting electroactive polymers and predict favorable potential ranges for operation at a microelectrode array detector that discriminates between potassium and methylamine. The important advantage of this approach is that the analyst is presented with PC model options to produce ‘purpose built’ microelectrode arrays. The approach should be widely applicable.