3 years ago

Sensor array for qualitative and quantitative analysis of metal ions and metal oxyanion based on colorimetric and chemometric methods

Lijuan Huang, Xin Zhang, Zhuoyong Zhang

Publication date: 31 December 2018

Source: Analytica Chimica Acta, Volume 1044

Author(s): Lijuan Huang, Xin Zhang, Zhuoyong Zhang


Gold nanoparticle (AuNP)-based colorimetric sensor is sensitive for the detection of metal ions and metal oxyanion in aqueous solution. However, this method is usually not suitable for multi-objective analysis in complex mixture systems because it is suffering from interference of co-existents. In the present paper, we proposed a sensitive, flexible, low-cost, and multi-units sensor method for the qualitative and quantitative analysis of metal ions and metal oxyanion based on the global ultraviolet and visible (UV–Vis) spectra of amino acid-gold nanoparticles (amino acid-AuNPs) sensors in the range of 230–800 nm. Different amino acids (L-Histidine, L-Lysine, L-Methionine, D-Penicillium) which can prevent the aggregation of the AuNPs in NaCl solution, were investigated to build sensor arrays responding to different ions induced AuNPs aggregation. The UV–Vis spectra that Cd2+, Ba2+, Mn2+, Ni2+, Cu2+, Fe3+, Cr3+, Cr2O72-, Sn4+, Pb2+ induce amino acid-AuNPs displayed different characteristics and the ions were classified correctly by using partial least squares-discriminant analysis (PLS-DA). Taking the advantage of the multivariate analysis and sensor arrays, we simultaneously quantified the ions in binary and ternary mixture systems (Cr3+/Cr2O72-, Fe3+/Cd2+, Fe3+/Cr3+/Cr2O72-). Data fusion methods further improved the prediction accuracy of the chemometric models built on multi-amino acids-AuNPs sensors. The proposed method has a potential for analyzing metal ions and metal oxyanion in much more complex mixture systems.

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