2015
DOI: 10.1016/j.snb.2015.06.129
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Application of multivariate optimization to electrochemical determination of methyldopa drug in the presence of diclofenac at a nanostructured electrochemical sensor

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Cited by 13 publications
(4 citation statements)
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“…Table 1 shows a comparison of the CPE/AuNP/DAS-DMSO with other modified electrodes for methyldopa determination, based on data published in the literature [33][34][35][36][37][38][39]. The LOD value obtained in this study is in agreement with others reported in the literature, indicating that the proposed methodology is suitable for the determination of methyldopa.…”
Section: Calibration Curvesupporting
confidence: 85%
“…Table 1 shows a comparison of the CPE/AuNP/DAS-DMSO with other modified electrodes for methyldopa determination, based on data published in the literature [33][34][35][36][37][38][39]. The LOD value obtained in this study is in agreement with others reported in the literature, indicating that the proposed methodology is suitable for the determination of methyldopa.…”
Section: Calibration Curvesupporting
confidence: 85%
“…Experimental design has been frequently used in the statistical optimization of analytical approaches because of its advantages such as reduction in the number of experiments that leads to the considerably less laboratory work and lower reagent consumption, as well as faster to implement and more cost effective than traditional one-at-a-time approach [16][17][18][19][20].…”
mentioning
confidence: 99%
“…Design of an experiment that produces valid and reliable data is not easy. Experimental design has been frequently used in the statistical optimization of analytical approaches because of its advantages such as reduction on the number of experiments that leads to considerably less laboratory work and lower reagent consumption, and it is faster to implement and more cost effective than a traditional one-at-a-time approach. Development of mathematical models that estimate statistical significance of factors is investigated by experimental design. It also facilitates the evaluation of interaction between influencing variables.…”
Section: Introductionmentioning
confidence: 99%