The aim of this work was to develop an experimental design to optimize the direct determination of copper in gasoline by graphite furnace atomic absorption spectrometry.
In this way, the use of chemometric approach showed to be a promising way to optimize the simultaneous determination of twenty-one contaminants of emerging concern in aqueous matrices by LC-IT-TOF-HRMS using ESI.
The purpose of the present work was to optimize the conditions for the determination of arsenic in gasoline with hydride generation graphite furnace atomic absorption spectrometry after acid digestion using a full two-level factorial design with center point.
The aim of this work was to optimize the pyrohydrolytic (Phy) determination of fluorine content in the lignite coal.
The aim of the present work is to provide an optimal partitioning procedure using Oblique Decision Trees in order to detect spatial patterns and to optimize the potential clusters determination without prior specifications.
More, the dependences of the current on pH, nature of buffer, instrumental parameters, accumulation time and potential were investigated to optimize the experimental conditions for the determination of methotrexate.
The key reaction parameters were identified and optimized for the determination of an optimal operational window for the aqueous media.
The module consists of several optimization approaches, and a Tabu search-based approach, which can optimize the selection of machining resources, determination of set-up plans and sequencing of machining operations to achieve optimal process plans, is elaborated to illustrate the process.
In this paper, a process planning module, which can optimize the selection of machining resources, determination of set-up plans and sequencing of machining operations to achieve optimized process plans, has been wrapped as services and deployed in the Internet to support distributed design and manufacturing analysis.
