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

Abreu, Romário Ewerton Lira de; Paz, José Eduardo Matos; Silva, Adenilton C.; Pontes, Márcio José Coelho; Lemos, Sherlan G.

doi:10.1016/j.fuel.2015.04.024

Cited by 22 publications

(10 citation statements)

References 33 publications

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“…Selected analytical methods used for determination of phenolic terpenoids prediction is assessed by such parameters as: high correlation coefficient (r), low root-meansquared error of calibration (RMSEC), low RMSECV, low root-mean-squared error of prediction (RMSEP), low mean relative error of prediction (REP), critical analysis of plots predicted= f (measured), and recovery test for the external samples[55,56,58,59]. The coefficient r reflects the accuracy of matching[56], RMSEC, RMSECV, and RMSEP are calculated in[59] as follows:…”

mentioning

confidence: 99%

Multivariate approach in voltammetric identification and simultaneous determination of eugenol, carvacrol, and thymol on boron-doped diamond electrode

Kowalcze

Jakubowska

2019

Monatsh Chem

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The paper presents multivariate partial least-squares calibration model defined for the identification and simultaneous determination of phenolic terpenoids-eugenol, carvacrol, and thymol-by means of the differential pulse voltammetry. For the first time, using boron-doped diamond electrode signal, electrochemical distinction of carvacrol and thymol, despite the short distance between the peaks (15 mV), was described. The analytes' concentrations applied in the calibration model were selected using the 3-factorial central composite design. The multivariate partial least-squares model, with optimized data pre-processing, was used for determination of eugenol, carvacrol, and thymol in the concentration ranges of 0.77-13.86, 0.58-10.40, and 0.73-7.32 mg/dm 3 , respectively. The quality of the method, expressed by the root-mean-squared error of calibration was 0.55, 0.20, and 0.26 mg/dm 3 for the specified analytes. The recovery in the analysis of the pure signals was 98.92%, 101.62%, and 101.46%, what confirmed the possibility of clearly distinguishing the thymol and carvacrol peaks. In the spiked honey samples, the accuracy of eugenol, carvacrol, and thymol determination, expressed by the root-meansquared error of prediction, was in the range 0.20-0.83 mg/dm 3 , and recovery in the range 80.9-111.9%. Application of the presented model not only enables electrochemical identification and simultaneous determination of eugenol, carvacrol, and thymol, but also allows rapid, accurate, and low-cost verification of authenticity of the commercial products.

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confidence: 99%

Multivariate approach in voltammetric identification and simultaneous determination of eugenol, carvacrol, and thymol on boron-doped diamond electrode

Kowalcze

Jakubowska

2019

Monatsh Chem

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“…1. The automotive fuels are susceptible to adulteration, which lead to affect the engine, human being and the environment and hence adulteration must be monitored by authentic analytical techniques to avoid negative impacts (Abreu et al, 2015;Correia et al, 2018;de Oliveira et al, 2004;de Souza et al, 2014;Kalligeros et al, 2005;Mendes et al, 2017;Romanel et al, 2018;Silva et al, 2013;Squissato et al, 2018;Teixeira et al, 2008;Vempatapu and Kanaujia, 2017)…”

Section: Resultsmentioning

confidence: 99%

Adulterating the quality of automotive gas oil using dual purpose kerosene: Effects on compression ignition engines, humans and environment

Int¹

2019

Preprint

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Five combustible mixtures of automotive gas oil and dual purpose kerosene were obtained from a retail outlet and blended into different automotive gas oil (AGO) and dual purpose kerosene (DPK) proportions (85:15, 75: 25, 50:50, 25:75 & 15:85% (v/v)). Samples were analyzed using densitometer, hydrometer, karl fischer titrator, pour and cloud point tester based on American Standard for Testing and Materials (ASTM) with the aim of delimiting the degree to which adulteration affects the quality of the pure sample, impact on the environment as well as the effects on compression ignition engines. Results obtained from the analyses of the blended ratios show the following parameters in the ranges; density (0.858–0.827g/cm3); specific gravity@60 0F (0.859–0.828), kinematic viscosity (4.800–1.200 cSt), cloud point (7.000–2.000 oC), pour point (-15.000 – < -34.000 oC) and moisture content (500.000–1200.000 ppm). Results of the analyses showed that 85 % dual purpose kerosene in the blended mixture fell below American Standard for testing and materials (ASTM) and Department for Petroleum Resources (DPR) acceptable standard in terms of viscosity. A maximum of 15% dual purpose kerosene in the blended mixture fell within ASTM specification in terms of moisture content. Specific gravity, density, cloud point and pour point of all the bended samples were within specification. Adulterating automotive gas oil with dual purpose kerosene at (≥ 15:85 %) AGO:DPK ratio as well as the use of biomass as an alternative source of energy due to diversion of dual purpose kerosene for adulteration, results in the release of various types of harmful poly aromatic hydrocarbons to the environment through the exhaust of diesel engines and cooking respectively. It can also lead to reduction in compression ratio, power loss as well as wear and tear of engine parts.

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“…Due to the complexity of the data (usually presenting potential shifts, scatter of signals or differences in the baseline which can affect the PLS performance), different types of data preprocessing were applied, such as baseline (BAS), smoothing Savitzky‐Golay (SMOTH), multivariate scatter correction (MSC), variance (std) scalling (VARSTD), and mean center (MC). Variable selection algorithms (genetic algorithm‐GA and interval partial least squares‐iPLS) were also applied to select a minimum set of variables containing the maximum information related to the analytes concentration reducing the large number of variables obtained in this experiment.…”

Section: Resultsmentioning

confidence: 99%

Integration of Commercial Screen‐printed Electrodes into a Voltammetric Electronic Tongue for the Analysis of Aminothiols

et al. 2016

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A voltammetric sensor array (or electronic tongue) is developed for the simultaneous quantification of cysteine, glutathione and homocysteine without need of previous separation. It is based on the integration of three commercial screen‐printed electrodes (gold curated at high and low temperature and carbon modified with carbon nanotubes). Linear sweep voltammograms measured simultaneously by all three sensors are processed by Partial Least Squares (PLS) regression and different variables selection algorithms such as Genetic Algorithm and interval‐Partial Least Squares. The method was applied to synthetic mixtures and successfully validated, with correlation coefficients of prediction (Rp2) of 0.9542, 0.9429 and 0.9589 for cysteine, glutathione, and homocysteine respectively.

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

Cited by 22 publications

References 33 publications

Multivariate approach in voltammetric identification and simultaneous determination of eugenol, carvacrol, and thymol on boron-doped diamond electrode

Multivariate approach in voltammetric identification and simultaneous determination of eugenol, carvacrol, and thymol on boron-doped diamond electrode

Adulterating the quality of automotive gas oil using dual purpose kerosene: Effects on compression ignition engines, humans and environment

Integration of Commercial Screen‐printed Electrodes into a Voltammetric Electronic Tongue for the Analysis of Aminothiols

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