Genetic-algorithm-based potential selection in multivariant voltammetric determination of indomethacin and acemethacin by partial least squares

Arcos, M. Julia; Alonso, Celia; Ortiz, M.C.

doi:10.1016/s0013-4686(97)00139-4

Cited by 34 publications

(18 citation statements)

References 20 publications

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“…This selection of variables was carried out using the GA as described in [36]. The steady state GA without duplicates, which was used in this case, has already been used with success [22,27], and a description of the way it functions is in [22].…”

Section: Genetic Algorithm In Selection Of Potentialsmentioning

confidence: 99%

Speciation of Chromium by Adsorptive Stripping Voltammetry Using Pyrocatechol Violet

Dominguez

Arcos

2000

Electroanalysis

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A procedure was proposed for the speciation of chromium by differential pulse adsorptive stripping voltammetry (DPAdSV) using pyrocatechol violet (PCV) as a complexing agent. In this procedure a partial least squares regression (PLS) was used for the resolution of the strongly overlapping voltammetric signals from mixtures of Cr III and Cr VI in the presence of PCV. The application of a genetic algorithm to select some of the predictors variables (potentials of the voltammogram) allows one to considerably reduce the number of experimental variables, but does not diminish the prediction capacity of the PLS model constructed with these selected variables. The relative error in absolute value is less than 5 % when concentrations of several mixtures are calculated. The analysis of the possible effect of the presence of foreign ions in the solution was performed. The procedure was successfully applied to the speciation of chromium in the waste water from a tanning factory.

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Section: Genetic Algorithm In Selection Of Potentialsmentioning

confidence: 99%

Speciation of Chromium by Adsorptive Stripping Voltammetry Using Pyrocatechol Violet

Dominguez

Arcos

2000

Electroanalysis

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“…Mostly, GAs are applied to select variables for a partial least squares modeling (PLSs) in many analytical methods like infrared spectroscopy [26][27][28][29][30], voltammetry [31][32][33], spectrophotometry [34] and for a bilinear least squares model in chromatography [35]. Also deconvolution of overlapping signals is one of solutions worked out by GAs in voltammetry [36].…”

Section: Introductionmentioning

confidence: 99%

Application of genetic algorithm for baseline optimization in standard addition voltammetry

Górski

Jakubowska

Baś

et al. 2012

Journal of Electroanalytical Chemistry

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“…Electrochemical techniques have been used only by few authors despite the high sensitivity of some of them and the relatively low cost of electrochemical instrumentation [11,12]. In this work the simultaneous determination of these drugs in quaternary mixtures was carried out by differential pulse voltammetry.…”

Section: Introductionmentioning

confidence: 99%

“…Methods which involve a soft calibration such as partial least squares (PLS) have been widely used in the resolution of overlapping signals [13,14]. Although their viability has been proven in the resolution of spectrophotometric signals from binary and quaternary mixtures of these drugs [9,10] they have been used less in electrochemical techniques [11].…”

Section: Introductionmentioning

confidence: 99%

Differential Pulse Voltammetric Simultaneous Determination of Four Anti‐Inflammatory Drugs by Using Soft Modelling

2002

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An application of a partial least squares calibration method for the simultaneous voltammetric determination of indomethacin, acemethacin, piroxicam and tenoxicam is suggested. It was shown that it is possible to resolve complex mixtures of analytes even when they have strongly overlapped signals. In order to check the proposed method, statistical analysis of the results was performed by mean of hypothesis tests. The method developed was applied to the electrochemical reduction region of four anti-inflammatory drugs and allowed the drugs to be quantified at concentrations between 0.52 and 4.09 mg mL À 1 for acemethacin, 0.44 and 3.50 mg mL À 1 for indomethacin, 0.43 and 3.40 mg mL À 1 for piroxicam, and 0.42 and 3.30 mg mL À 1 for tenoxicam with good results. The average absolute value of relative errors was 2.25%, 4.31%, 1.68% and 2.49%, respectively.

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Genetic-algorithm-based potential selection in multivariant voltammetric determination of indomethacin and acemethacin by partial least squares

Cited by 34 publications

References 20 publications

Speciation of Chromium by Adsorptive Stripping Voltammetry Using Pyrocatechol Violet

Speciation of Chromium by Adsorptive Stripping Voltammetry Using Pyrocatechol Violet

Application of genetic algorithm for baseline optimization in standard addition voltammetry

Differential Pulse Voltammetric Simultaneous Determination of Four Anti‐Inflammatory Drugs by Using Soft Modelling

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