2016
DOI: 10.1016/j.jelechem.2015.07.050
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Application of multi-factorial experimental design to successfully model and optimize inorganic chromium speciation by square wave voltammetry

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Cited by 21 publications
(10 citation statements)
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“…One of the ways to optimize the number of experiments is the statistical design of the experiment (DOE). From numerous procedures of DOE [52,53], in this work, the central composite design (CCD) was selected and constructed for three factors. The calibration samples (training set) contained constituent patterns: the full factorial points (values − 1 or + 1 on each axis), central point and its repetitions (value 0 on each axis), and star points (at some value − γ or + γ on each axis).…”
Section: Design Of the Experiments Using Central Composite Designmentioning
confidence: 99%
See 1 more Smart Citation
“…One of the ways to optimize the number of experiments is the statistical design of the experiment (DOE). From numerous procedures of DOE [52,53], in this work, the central composite design (CCD) was selected and constructed for three factors. The calibration samples (training set) contained constituent patterns: the full factorial points (values − 1 or + 1 on each axis), central point and its repetitions (value 0 on each axis), and star points (at some value − γ or + γ on each axis).…”
Section: Design Of the Experiments Using Central Composite Designmentioning
confidence: 99%
“…Since the rotatability depends only on the value of γ, Eq. (1) is right [52,53]. The central point was repeated in six independent experiments, and the total number of samples considered in training set was 20.…”
Section: Design Of the Experiments Using Central Composite Designmentioning
confidence: 99%
“…Namun, cara tersebut memiliki kelemahan utama yaitu tidak dapat mengamati interaksi antar parameter serta diperlukan jumlah percobaan yang banyak sehingga kurang efisien. Oleh karena itu, pada penelitian ini digunakan studi optimasi permukaan respon (respon surface methodology) Box-Behnken dengan jumlah percobaan lebih sedikit namun dapat mengamati interaksi antar parameter sehingga lebih efisien (Cuéllar and Ortiz, 2016;Quinlan and Lin, 2015;Yu and He, 2017).…”
Section: Pendahuluanunclassified
“…With use of adequate experimental design, a regression equation can be obtained where the importance of each independent variable in the global process can be obtained; furthermore, the possibility of considering interaction effects between the variables can be detected, being an advantage over the classical method . In the literature there are some reports describing multivariate optimization of the voltammetric response. However, none of these before-mentioned articles describe NP determination.…”
Section: Introductionmentioning
confidence: 99%
“…In general, SWV optimization has been performed by a one-factor-at-a-time (OFAT) approach. ,,, However, we believe that all the analytical processes must be optimized by taking into account all the factors at once. We have already performed SWV parameters optimization for other compounds, ,, and we will continue optimizing analytical techniques by using design experiments methods.…”
Section: Introductionmentioning
confidence: 99%