2017
DOI: 10.1016/j.microc.2016.12.004
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Robustness evaluation in analytical methods optimized using experimental designs

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Cited by 101 publications
(43 citation statements)
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“…For evaluation of the extraction procedure, a feed sample labeled as chicken 1 was used due to its high total As concentration. Full factorial design with three levels is one of the most frequently applied chemometric tools in multivariate optimization for screening in order to evaluate the effect of the main factors and their interactions (Ferreira et al, 2017;Soylak, Narin, Bezerra M de, & Ferreira, 2005). The experiments were designed and analyzed using the software Statistica Ò version 10.0 (StatSoft, Oklahoma, USA).…”
Section: Extraction Methods Developmentmentioning
confidence: 99%
“…For evaluation of the extraction procedure, a feed sample labeled as chicken 1 was used due to its high total As concentration. Full factorial design with three levels is one of the most frequently applied chemometric tools in multivariate optimization for screening in order to evaluate the effect of the main factors and their interactions (Ferreira et al, 2017;Soylak, Narin, Bezerra M de, & Ferreira, 2005). The experiments were designed and analyzed using the software Statistica Ò version 10.0 (StatSoft, Oklahoma, USA).…”
Section: Extraction Methods Developmentmentioning
confidence: 99%
“…Modelling of a green adsorbent from PP using a facile, cost-effective, and efficient procedure, optimization of the adsorption process, and maximizing the removal efficiency of PP were the tasks undertaken in the current approach. A multivariate platform exploiting Plackett-Burman design (PBD) was the maneuver of choice [28,29]. A comparison between the RPP and BPP was carried out.…”
Section: Introductionmentioning
confidence: 99%
“…In the case of phosphorus, our LOD is better than the general one of a factor close to 6. In addition, the 11 measurements of closeness of agreement were taken during different sessions in different days using newly prepared reference solutions, still giving satisfactory results on average and proving that it is rugged (namely, it shows low within-laboratory variation) [56,57]. It is acknowledged that neither the standard nor the reference materials were matrix-matched.…”
Section: Analytical Figures Of Merit Of the Icp-oes Methodsmentioning
confidence: 98%