Contributions of Flow Analysis for Quality Control of Automotive Fuels: A Review

Soares, Vitória Regina Bispo; Rocha, Fábio R.P.; Teixeira, Leonardo Sena Gomes

doi:10.1080/00032719.2012.747095

Cited by 8 publications

(2 citation statements)

References 61 publications

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“…The difficulty to deal with water insoluble samples in flow approaches may be the reason for the limited number of works aiming on-line fuel analysis [16]. However, flow injection liquid-liquid microextraction is a feasible strategy that has been demonstrated in the literature [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

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Liquid–liquid microextraction in sequential injection analysis for the direct spectrophotometric determination of acid number in biodiesel

Batista

Amais

Rocha

2016

Microchemical Journal

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Section: Introductionmentioning

confidence: 99%

“…Although the contributions of flow analysis to fuel quality control have been highlighted [16], its application to biodiesel analysis is yet limited [17]. Aiming at the spectrophotometric acid number determination, a sequential injection analysis (SIA) system was proposed [18].…”

Section: Introductionmentioning

confidence: 99%

Liquid–liquid microextraction in sequential injection analysis for the direct spectrophotometric determination of acid number in biodiesel

Batista

Amais

Rocha

2016

Microchemical Journal

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Quality assessment of gasoline using comprehensive two‐dimensional gas chromatography combined with unfolded partial least squares: A reliable approach for the detection of gasoline adulteration

Parastar

Mostafapour

Azimi

2015

J of Separation Science

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Comprehensive two-dimensional gas chromatography and flame ionization detection combined with unfolded-partial least squares is proposed as a simple, fast and reliable method to assess the quality of gasoline and to detect its potential adulterants. The data for the calibration set are first baseline corrected using a two-dimensional asymmetric least squares algorithm. The number of significant partial least squares components to build the model is determined using the minimum value of root-mean square error of leave-one out cross validation, which was 4. In this regard, blends of gasoline with kerosene, white spirit and paint thinner as frequently used adulterants are used to make calibration samples. Appropriate statistical parameters of regression coefficient of 0.996-0.998, root-mean square error of prediction of 0.005-0.010 and relative error of prediction of 1.54-3.82% for the calibration set show the reliability of the developed method. In addition, the developed method is externally validated with three samples in validation set (with a relative error of prediction below 10.0%). Finally, to test the applicability of the proposed strategy for the analysis of real samples, five real gasoline samples collected from gas stations are used for this purpose and the gasoline proportions were in range of 70-85%. Also, the relative standard deviations were below 8.5% for different samples in the prediction set.

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Liquid–liquid microextraction in a multicommuted flow system for direct spectrophotometric determination of iodine value in biodiesel

Pereira

Rocha

2014

Analytica Chimica Acta

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Contributions of Flow Analysis for Quality Control of Automotive Fuels: A Review

Cited by 8 publications

References 61 publications

Liquid–liquid microextraction in sequential injection analysis for the direct spectrophotometric determination of acid number in biodiesel

Liquid–liquid microextraction in sequential injection analysis for the direct spectrophotometric determination of acid number in biodiesel

Quality assessment of gasoline using comprehensive two‐dimensional gas chromatography combined with unfolded partial least squares: A reliable approach for the detection of gasoline adulteration

Liquid–liquid microextraction in a multicommuted flow system for direct spectrophotometric determination of iodine value in biodiesel

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