An electroanalytical method to detect adulteration of ethanol fuel by using multivariate analysis

Silva, Adenilton Camilo; Paz, José Eduardo Matos; Pontes, Liliana Fátima Bezerra Lira; Lemos, Sherlan G.; Pontes, Márcio José Coelho

doi:10.1016/j.electacta.2013.07.208

Cited by 18 publications

(8 citation statements)

References 34 publications

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“…The second is a marked broad asymmetric peak at À0.20 V (Fig. 1, peak 2), which could be attributed to two overlapped peaks at À0.20 V and À0.05 V related to the formation of Cu(II) species from Cu(I) and Cu, respectively [11,31].…”

Section: Datasetmentioning

confidence: 97%

“…The data set for the study consists of 120 voltammograms of HEAF samples obtained in a previous work [11]. In summary, 120 HEAF samples were randomly collected from different fuel distributors and ethanol content was assessed with standard chromatographic method [5].…”

Section: Data Setmentioning

confidence: 99%

“…The association of electroanalytical techniques with chemometric tools are shown to be most suitable to evaluate the quality of fuels accurately, rapidly, and at low-cost [9,11,12]. As in [11], this method also employed a copper electrode, which presents electrocatalytic activity toward the anodic oxidation of simple alcohols and small organic molecules in highly alkaline medium [13][14][15], contrary to gold electrode that requires the addition of methanol to the electrolyte to perform the simultaneous determination of methanol and ethanol [10].…”

Section: Introductionmentioning

confidence: 98%

“…In this sense, the present work proposes the use of the same voltammetric procedure carried out by Silva and coworkers [11] allied to multivariate calibration techniques to develop a onevoltammogram simultaneous determination of methanol and ethanol in HEAF samples. The association of electroanalytical techniques with chemometric tools are shown to be most suitable to evaluate the quality of fuels accurately, rapidly, and at low-cost [9,11,12].…”

Section: Introductionmentioning

confidence: 98%

“…Silva and coworkers [11] proposed a screening analysis method to identify HEAF adulteration by methanol based on the voltammetric analysis at copper electrodes aided by supervised pattern recognition techniques, classifying samples as ''adulterated'' or ''unadulterated'', with excellent classification rates. Screening analysis is an interesting approach, since it could provide a reduction in the number of samples submitted to official review by the chromatographic method, reducing the cost of official inspection programs.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Ethanol fuel adulteration with methanol assessed by cyclic voltammetry and multivariate calibration

Abreu

Paz

Silva

et al. 2015

Fuel

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Section: Datasetmentioning

confidence: 97%

Section: Data Setmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Ethanol fuel adulteration with methanol assessed by cyclic voltammetry and multivariate calibration

Abreu

Paz

Silva

et al. 2015

Fuel

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Comparison of Different PLS Algorithms for Simultaneous Determination of Cd(II), Cu(II), Pb(II), and Zn(II) by Anodic Stripping Voltammetry at Bismuth Film Electrode

Pinto

Lemos

2013

Electroanalysis

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In this work we evaluated the use of different variable selection techniques combined with partial least‐squares regression (PLS) – genetic algorithm PLS (GA‐PLS), interval PLS (iPLS), and synergy interval PLS (siPLS) – in the simultaneous determination of Cd(II), Cu(II), Pb(II) and Zn(II) by anodic stripping voltammetry at a bismuth film. Generally, variable selection provided an improvement in prediction results when compared to full‐voltammogram PLS. The use of interval selection based algorithms have shown to be most adequate than the selection of discrete variables by GA. Excellent analytical performances were obtained despite the inherent complexity of the simultaneous determination.

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Betamethasone‐based chiral electrochemical sensor coupled to chemometric methods for determination of mandelic acid enantiomers

Borazjani

Mehdinia

Jabbari

2017

J of Molecular Recognition

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A chiral biosensing platform was developed using betamethasone (BMZ) as chiral recognition element through multilayered electrochemical deposition of BMZ, overoxidized polypyrrole, and nanosheets of graphene (OPPy-BMZ/GR), for enantio-recognition of mandelic acid (MA) enantiomers. The deposited film was characterized by scanning electron microscopy, differential pulse voltammetry, cyclic voltammetry, and electrochemical impedance spectroscopy. It was shown that the chiral sensing platform can discriminate R- and S-MA differential pulse voltammetry signals, at the voltages of 1.35 and 1.33 V (vs Ag/AgCl), respectively. To tackle the problem of highly overlapping peaks of these enantiomers, the partial least squares (PLS) regression and genetic algorithm-PLS (GA-PLS) were used for simultaneous quantification of MA enantiomers. Generally, variable selection by genetic algorithm provided an improvement in prediction results when compared to full-voltammogram PLS. Good analytical performances were obtained despite the inherent complexity of the simultaneous determination.

show abstract

An electroanalytical method to detect adulteration of ethanol fuel by using multivariate analysis

Cited by 18 publications

References 34 publications

Ethanol fuel adulteration with methanol assessed by cyclic voltammetry and multivariate calibration

Ethanol fuel adulteration with methanol assessed by cyclic voltammetry and multivariate calibration

Comparison of Different PLS Algorithms for Simultaneous Determination of Cd(II), Cu(II), Pb(II), and Zn(II) by Anodic Stripping Voltammetry at Bismuth Film Electrode

Betamethasone‐based chiral electrochemical sensor coupled to chemometric methods for determination of mandelic acid enantiomers

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