Simultaneously determining multi-metal ions using an ion selective electrode array system
| Autor: | Mallavarapu Megharaj, Zuliang Chen, Peter J. Lesniewski, Ravendra Naidu, Liang Wang, Ying Cheng, Dane Lamb |
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| Přispěvatelé: | Wang, Liang, Cheng, Ying, Lamb, Dane, Chen, Zuliang, Lesniewski, Peter J, Megharaj, Mallavarapu, Naidu, Ravendra |
| Rok vydání: | 2016 |
| Předmět: |
Data compaction
Chemistry Electronic tongue Metal ions in aqueous solution Design of experiments 010401 analytical chemistry Analytical chemistry electronic tongue (ET) system Soil Science artificial neural network (ANN) 02 engineering and technology Plant Science 021001 nanoscience & nanotechnology 01 natural sciences Signal ion-selective electrode (ISE) array 0104 chemical sciences Ion Ion selective electrode Principal component analysis independent component analysis (ICA) 0210 nano-technology General Environmental Science |
| Zdroj: | Environmental Technology & Innovation. 6:165-176 |
| ISSN: | 2352-1864 |
| DOI: | 10.1016/j.eti.2016.10.001 |
| Popis: | The electronic tongue (ET) system contains an ion selective electrode (ISE) array, with a signal recording system and data processing methodology. It is developed for simultaneous determination of multiple free ions dissolved in solutions for real-time in situmonitoring. This article outlines an application of the ET system to determine chloride (Cl) simultaneously, and multi cationic metal ions, including calcium (Ca), cadmium (Cd), copper (Cu) and lead (Pb). In this study, Principal Component Analysis (PCA) was applied as a data compaction technique to reduce the complexity of data from the ISE array without losing much information. A patent data preprocessing method, geneticICA, was utilized to improve the prediction accuracy of ANN. Moreover, Orthogonal Experiment Design was employed for minimizing the number of training samples without losing any quality characteristics for the specific ions. Using our methodology means that results can be obtained rapidly and accurately without disturbing the natural speciation. The robustness and appropriateness of the approach were assessed using the mean relative error (MRE). When configured and optimized, the ET system can quantify the concentration of the four desired metals and chloride with the average MRE being lower than 0.10. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
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