کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
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186610 | 459619 | 2013 | 5 صفحه PDF | دانلود رایگان |

This work proposes a simple and inexpensive electroanalytical method to identify adulteration in hydrated ethyl alcohol fuel (HEAF) samples by using multivariate analysis. The methodology was validated in a case study with HEAF samples divided into two categories: (1) unadulterated and (2) adulterated with methanol in different concentration levels (1.0–13% m m−1). Staircase voltammetry was the electrochemical technique employed. Voltammograms were recorded with a copper electrode in an alkaline solution. Four different pattern recognition methods were evaluated for classification of the resulting voltammograms: partial least squares discriminant analysis (PLS-DA); linear discriminant analysis (LDA) with variable selection by the successive projections algorithm (LDA/SPA), genetic algorithm (LDA/SPA), and a stepwise formulation (LDA/SW). The best results were achieved with LDA/GA and LDA/SW models, which all prediction samples were correctly classified.
Journal: Electrochimica Acta - Volume 111, 30 November 2013, Pages 160–164