Automated fringe analysis in diffusivity measurements by sandwich holography

Paoletti, Domenica; Spagnolo, Giuseppe Schirripa; Laurenti, L.; Ponticiello, A.

doi:10.1051/jp3:1992215

Cited by 7 publications

(2 citation statements)

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“…To compute the D coefficient from the distance w between the maximum and the minimum value (see equation ( 25)) a polynomial fitting of our experimental data can be used. A more elegant procedure is that of choosing as a fitting routine the method of least squares for nonlinear functions (χ 2 ) (Bevington 1969, Press et al 1992, Paoletti et al 1992. The solid line in figure 9 represents an eighth-degree polynomial fitting.…”

Section: Simulationmentioning

confidence: 99%

Evaluation of diffusion in liquids by digital speckle pattern interferometry: computer simulation and experiments

et al. 1996

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Section: Simulationmentioning

confidence: 99%

Evaluation of diffusion in liquids by digital speckle pattern interferometry: computer simulation and experiments

et al. 1996

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“…They are simple but commonly slow and not suitable for measuring analytes with very limited sample volume. Optical approaches were later explored and formed the biggest methodological family, including Gouy fringe pattern [17,18], Rayleigh fringe pattern [19,20], Mach-Zehnder fringe pattern [21], holographic measurement [22,23] and light scattering [24][25][26], and so forth [27]. Optical methods often require very fine setups, which are not always available for use.…”

Section: Introductionmentioning

confidence: 99%

Electromigration diffusivity spectrometry: A way for simultaneous determination of diffusion coefficients from mixed samples

et al. 2010

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A novel method was proposed for simultaneous measurement of diffusion coefficients, (D), from mixed samples by electrophoresis and termed electromigration-based diffusivity spectrometry. After theoretical treatment, D-equation for practical use has been deduced. With a modified CE system built in laboratory, electromigration-based diffusivity spectrometry has been realized and validated to suit for fast and accurate determination of diffusivities of mixed aromatic amino acids, phenols and aromatic organic acid, giving diffusivity spectra by peak area versus D, much similar to mass spectra. The precision of the measurement was found to critically depend on pH value of running buffer, which should be so selected that the analytes and internal standards could be charged at above 0.5e. The standards have to be selected at an electric flux far from each other and from analytes. In these cases, sample and running buffer concentrations, voltage and system temperature were found to have only negligible impact on the determination. In our test, the obtained measuring precision was generally kept within 1% for five runs, and the measured values of D agreed well with those from literature, with a deviation of less than 2.2% after the right use of calibration standards.

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