Sensor array for qualitative and quantitative analysis of metal ions and metal oxyanion based on colorimetric and chemometric methods
| Autor: | Xin Zhang, Zhuoyong Zhang, Lijuan Huang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Aqueous solution
Metal ions in aqueous solution 010401 analytical chemistry Inorganic chemistry Nanoparticle Oxyanion 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Biochemistry 0104 chemical sciences Analytical Chemistry Ion Metal Chemometrics chemistry.chemical_compound chemistry visual_art visual_art.visual_art_medium Environmental Chemistry 0210 nano-technology Ternary operation Spectroscopy |
| Zdroj: | Analytica Chimica Acta. 1044:119-130 |
| ISSN: | 0003-2670 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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