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Updated: Feb 2, 2026

Quantification of Metal Leaching in Immobilized Metal Affinity Chromatography
Published on: January 17, 2020
Sensor array for qualitative and quantitative analysis of metal ions and metal oxyanion based on colorimetric and
Lijuan Huang1, Xin Zhang1, Zhuoyong Zhang1
1Department of Chemistry, Capital Normal University, Beijing, 100048, China.
Abstract:
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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