Sensor array methodology had attracted much attention because of its advantages
in accuracy, diversity and capacities in simultaneous detection and discrimination of
multiple analytes. In this study, a colorimetric sensor array comprising chloroauric acid
and L-arginine mixture for the detection and identification of iron (II) ion is developed.
Principal component analysis and hierarchical cluster analysis showed that the colorimetric
sensor array had excellent discrimination capability to iron (II) ion. This research suggests
that chloroauric acid and L-arginine mixture could act as cations chemosensor,
which provides an alternative approach to design novel colorimetric sensor array.
Keywords: Colorimetric sensor array, principal component analysis, hierarchical cluster analysis, cation, chloroauric acid, L-arginine.
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