Quantification of residual automotive lubricant oil as an adulterant in Brazilian S-10 diesel using MIR spectroscopy and PLS

Souza, Letícia Maria de; Mitsutake, Hery; Gontijo, Lucas Caixeta; Neto, Waldomiro Borges

doi:10.1016/j.fuel.2014.03.051

Cited by 28 publications

(15 citation statements)

References 21 publications

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“…Analytical validation of PLS was performed through the calculation of parameters denominated figures of merit using net analyte signal (NAS) (Lorber et al 1997;Ferré et al 1997) Lorber et al (1997) and has been widely discussed in the literature (Souza et al 2014;Ferré et al 1997) and defined as the part of the analytical signal uniquely related to the analyte of interest and orthogonal to the interferences.…”

Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

“…1) which corresponds to the degree of agreement between the reference value and the predicted value using the PLS model (Souza et al 2014) was determined by calculating the RMSEC, RMSECV, and root means square Error of Prediction (RMSEP). The elliptical joint confidence region was held for the evaluation of systematic and random errors (Souza et al 2014).…”

Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

“…2. The fit graphs of PLS model were obtained correlating the real values with the predicted values from the prediction set and using the graph of real values versus the NAS norms (Souza et al 2014;Silva et al 2012;Lorber et al 1997). …”

Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

“…The validation of multivariate calibration models is obtained through the calculation of accuracy, selectivity, sensitivity, analytical sensitivity, linearity, the standard deviation, and the test of systematic errors; such parameters are known as "figures of merit" (Souza et al 2014). Notably, a validated methodology involving detection of MFCW in RM had not been previously proposed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

FTMIR-PLS as a promising method for rapid detection of adulteration by waste whey in raw milk

Vieira

Souza

Franca

et al. 2015

Dairy Sci. & Technol.

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In this paper, we propose a feasible, sample preparation free and fast validated methodology for the detection and quantitative analysis of Minas Frescal cheese waste whey as an adulterant in raw milk using mid-infrared spectroscopy with Fourier transform (FTMIR) along with the chemometric technique of partial least squares (PLS). The PLS model was built in accordance with Brazilian and international guidelines and was analytically validated through the estimate of figures of merit parameters, in accordance with ASTM E1655-05 standard. This model showing an effective and feasible method for quality control of raw milk can be adopted for the quality control by regulatory agencies, as shown by the satisfactory results obtained for all estimated figures of merit with no systematic errors and low errors, with R=0.99.

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Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

Section: Pls Model Building and Analytical Validation Of Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

FTMIR-PLS as a promising method for rapid detection of adulteration by waste whey in raw milk

Vieira

Souza

Franca

et al. 2015

Dairy Sci. & Technol.

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show abstract

“…6, No. 4;2014 Figures 7 and 8 present respectively fluorescence spectra and PLS for the mixtures of residual oil from fried foods in diesel. The coefficient of correlation of the curve presented near to 1 (0.9991) and R 2 of 0.9938 indicated the strength of the association of the two variables and the efficiency of the PLS to carry out the predictions.…”

Section: Methodsmentioning

confidence: 99%

Determination of Adulterants in Diesel by Multivariate Calibration Associated With LED Spectrofluorimetry

Meira

Quintella

Ribeiro

et al. 2014

IJC

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In this paper, multivariate calibration models have been developed for determination of common adulterants (kerosene, turpentine and residual oil from fried foods) added to diesel. The samples were analyzed by LED spectrofluorimetry and the multivariate calibration models were developed by Partial Least Squares (PLS). The proposal is suggested as an analytical methodology of low-cost, fast and non-destructive able to quantify the presence of contaminants in the diesel. The results showed that adulterants concentrations were adequately reproduced by the fluorescence spectral data.

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Multivariate control charts based on NAS and mid‐infrared spectroscopy for quality control of B5 blends of methyl soybean biodiesel in diesel

Mitsutake

Guimarães

Freitas

et al. 2015

Journal of Chemometrics

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aIn this work, mid-infrared spectroscopy and multivariate control charts based on net analyte signal were applied for quality control of B5 blends of biodiesel/diesel (5% biodiesel/95% diesel). Control charts were constructed using instrumental signal decomposition, generating three charts: the net analyte signal chart for monitoring the analyte of interest (methyl soybean biodiesel); the interference chart, which corresponds to the contribution of all other compounds in the diesel sample (diesel); and the residual chart, which corresponds to non-systematic variations. Statistical limits were established for each developed chart, using samples inside quality specifications (normal operation conditions). To validate multivariate control charts, new samples were analyzed. The new samples represented samples in-control and samples out-of-control in relation to the content of biodiesel, adulterated biodiesel with severe vegetable oils and adulterated diesel with residual automotive lubricant oil, kerosene, and gasoline. The results obtained show an excellent distinction between the samples inside and out of the quality specifications, with 91% and 100% correctly classified, respectively, which demonstrates that the methodology developed is a viable alternative for quality monitoring of this type of fuel.

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Quantification of residual automotive lubricant oil as an adulterant in Brazilian S-10 diesel using MIR spectroscopy and PLS

Cited by 28 publications

References 21 publications

FTMIR-PLS as a promising method for rapid detection of adulteration by waste whey in raw milk

FTMIR-PLS as a promising method for rapid detection of adulteration by waste whey in raw milk

Determination of Adulterants in Diesel by Multivariate Calibration Associated With LED Spectrofluorimetry

Multivariate control charts based on NAS and mid‐infrared spectroscopy for quality control of B5 blends of methyl soybean biodiesel in diesel

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