Sentence examples for multivariate optimization methods from inspiring English sources
Several significant parameters controlling the performance of the MIP sensor were examined and optimized using multivariate optimization methods such as Plackett Burman design (PBD) and central composite design (CCD).
s−1), deposition time of AgNPs on to the MIP surface (s), stirring rate of loading solution (rpm), electrode loading time (min), pH of Britton Robinson Buffer (BRB) solution were examined and optimized using multivariate optimization methods such as Plackett Burman design (PBD) and central composite design (CCD).
A Hessian matrix and multivariate optimization methods are used to examine and obtain the optimal solution of the mathematical model.
The utility of multivariate optimization methods in the determination of aqueous photolysis rates of organic compounds is examined in this study.
To overcome this shortcoming, multivariate optimization methods are considered as promising techniques which use experimental design in conjunction with multivariate analysis techniques to optimize different processes [19, 20, 21, 22].
The influence of incubation and extraction temperatures and times, coating fibre material and salt addition on SPME efficiency was investigated by multivariate optimization methods using reduced factorial and Doehlert matrix designs.
A multivariate optimization method using central composite design (CCD) was designed to obtain the best conditions of the adsorption.
In the present work, the important influential factors affecting the growth and activity of the new strain were initially unknown and so there were a potentially very large number of permutations to study if a multivariate optimization method such as RSM were used from the outset.
The main difference between this method and the classical methods of multivariate optimization (weighted sum, goal programming, and goal attainment) is the reaction in finding the answers to different objectives [24].
This present work reports a multivariate optimization of a spectrophotometric method for copper determination in sugar-cane spirits, exploring the reaction of Cu II) with phenylfluorone (PF) in the presence of cetylpyridinium chloride (CPC) and Triton X-100.
A central composite design was used for the multivariate optimization of an analytical method for the quantitative determination of methylpyrazines in cocoa liquors using headspace-SPME followed by GC MS.
