Biofuel ethanol adulteration detection using an ultrasonic measurement method

Figueiredo, Monique K.K.; Costa-Félix, Rodrigo Pereira Barretto da; Maggi, Luis Eduardo; Alvarenga, André Victor; Romeiro, Gilberto A.

doi:10.1016/j.fuel.2011.08.003

Cited by 42 publications

(23 citation statements)

References 8 publications

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“…It produces loss of power and raise in fuel consumption rate [18]. Different methods were proposed for determination of water in ethanol fuels such as: i) near infrared spectrometry [19], ii) conductometry [20], iii) enthalpimetry [21], iv) cyclic voltammetry [22], v) photothermal detector [23], vi) ultrasonic propagation velocity [24], vii) evanescent field absorption spectroscopy [25], and viii) colorimetry [18].…”

Section: Applicationmentioning

confidence: 99%

Microemulsification-Based Method: Coupling with Separation Technique

Lima¹

2015

J Anal Bioanal Tech

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Abbreviations: ME: Microemulsion; AP: Amphiphile; W:Hydrophilic phase of dispersions; O: Hydrophobic phase of dispersions; Φ ME : Minimum volume fraction of amphiphile needed to get ME; Φ O : Volume fraction of oil to water; Φ E : Volume fraction of ethanol to water; Φ W : Volume fraction of water to ethanol; ΔΦ: Absolute error determined for Φ E Point-of-use devices represent currently a key field in quantitative analytical sciences. These platforms are low-cost, fast, portable, and simple to use eliminating the necessity for qualified operators [1]. Rapid tests enable in-situ measurements presenting substantial social and economic implications at industry, environment, and medicine [2][3][4][5][6][7][8][9]. One potential output to perform point-of-use analyses is the accomplishment of the tests in solution with naked eye detection using disposable systems. It allows the determination of different analytes from the use of modified nanomaterial [10]. Naked eye methods bypasses the use of instrumental readers, an essential feature for in-situ technologies. Furthermore, the analyses in solution surpass precisionrelated downsides when making the tests on substrates such as paper [6,9]. In this case, the diverse paper substrates that are employed to fabricate the devices affect the flow rates and interactions with analytes [10]. This paper reports further investigations and application of the microemulsification-based method (MEC), a point-of-use platform that was recently proposed by these authors [11]. It relies on solutionbased-detection with naked eyes. In contrast with colorimetric tools [10], MEC response depends on colloid thermodynamics by relying on effect of analyte on the entropy of emulsions or Winsor systems. It changes the formation of thermodynamically stable dispersions, the microemulsions (MEs). The minimum volume fraction of amphiphile (AP) needed to get MEs (Φ ME ) for a fixed water-oil ratio expressed the analytical signal of the method. The generation of nanodroplets in MEs (transparent) allows the naked eye detection of Φ ME by monitoring the change of turbidity from the emulsions or Winsor systems (cloudy) as shown in Figure 1a. This cloudy-to-transparent conversion acts like a turning point in titrations, ensuring the visual measurement of Φ ME and, therefore, not only screening analyses (positive/negative data) as the most of naked eye colorimetry platforms [10] as well as precise quantitative analyses [11]. The response in colorimetry changes with the intensity of colour or tonality. Herein, subjective uncertainties by personal and surrounding conditions are observed [12].MEC presents powerful aspects concerning the deployment of pointof-use tools. Such a method is straightforward, cheap, fast, portable, and provides precise analytical determinations with satisfactory precision, linearity, robustness, and accuracy. Lastly, volumes of approximately 20 µL for dispersions assure the visual measurement of Φ ME [11]. It contributes for a low sample consuming.The first outcomes achieved by MEC we...

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Section: Applicationmentioning

confidence: 99%

Microemulsification-Based Method: Coupling with Separation Technique

Lima¹

2015

J Anal Bioanal Tech

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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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“…Thus, alternative methods have been developed due to the significance of ethanol not only as a biofuel but also for its broad use in medicine, pharmaceutical products and chemistry [10]. Various analytical methodologies have been proposed, many of them based on optical spectroscopy, individually or in combination with chemometric methods, such as dual-beam near-infrared spectrometry, wave acoustic methods, optic sensors and surface acoustic wave sensors [6,[8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%