Ethanol fuel analysis by Time-Domain Reflectometry

Rodrigues, Daniel; Peres, Henrique E. M.; Becari, Wesley

doi:10.1109/imoc.2013.6646441

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Hence, the TDR technique is proposed here as an auxiliary to the analysis, since it is a simple, fast, compact, and non-destructive method for ethanol qualification. Previous studies already showed promising results regarding this technique for characterizing ethanol adulterated with water [3]. We further expand the studies by proposing geometry variations in the probes, aiming at higher sensitivity and performance of the sensors for ethanol fuel analysis.…”

Section: Introductionmentioning

confidence: 83%

Analysis of Different Probe Geometries for Ethanol Fuel Qualification Using Time-Domain Reflectometry

Rodrigues¹,

Becari²,

Peres³

et al. 2016

PIER Letters

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Section: Introductionmentioning

confidence: 83%

Analysis of Different Probe Geometries for Ethanol Fuel Qualification Using Time-Domain Reflectometry

Rodrigues¹,

Becari²,

Peres³

et al. 2016

PIER Letters

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“…In literature, Karl-Fischer [28], electrochemistry [11], ultrasonic parameters [29], time-domain reflectrometry [30], capacitive micro-sensor [31], infrared (IR) [32], Fourier transform infrared (FTIR) [33] and NMR [33] based methods are also available for the analysis of water in ethanol fuels. However, the proposed procedure over the reported methods has the advantage of providing a very simple, fast and user-friendly way without involving any laborious step for monitoring the water adulteration in ethanol.…”

Section: Introductionmentioning

confidence: 99%

Application of Partial Least Square (PLS) Analysis on Fluorescence Data of 8-Anilinonaphthalene-1-Sulfonic Acid, a Polarity Dye, for Monitoring Water Adulteration in Ethanol Fuel

Kumar

Mishra

2015

J Fluoresc

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Fluorescence characteristic of 8-anilinonaphthalene-1-sulfonic acid (ANS) in ethanol-water mixture in combination with partial least square (PLS) analysis was used to propose a simple and sensitive analytical procedure for monitoring the adulteration of ethanol by water. The proposed analytical procedure was found to be capable of detecting even small adulteration level of ethanol by water. The robustness of the procedure is evident from the statistical parameters such as square of correlation coefficient (R(2)), root mean square of calibration (RMSEC) and root mean square of prediction (RMSEP) that were found to be well with in the acceptable limits.

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