Sentence examples for multifactorial design of from inspiring English sources

Optimum conditions for the viscosity, selectivity, and conversion were determined using a multifactorial design of experiments with three factors run by the software Stat Graphics version XV.I.

The effect of process parameters in the enzymatic transesterification reaction to obtain the optimum conditions for the viscosity, selectivity, and conversion was studied using a multifactorial design of experiments with three factors run by the software Stat Graphics version XV.I.

A multifactorial design of response surface methodology was used to model linear, interaction, and quadratic effects of these variables on steady shear rheological properties of ayran samples and in situ EPS production levels.

Thus, results obtained operating under the 36 runs - each one with different experimental conditions, selected by the multifactorial design of experiments with three factors, developed by the software Stat Graphics version XV.I., where two of them are developed at three levels and the other at two levels, indicated in Table 1 - are shown in Table 2.

Therefore, increasing productivity during scale-up of processes has largely depended on trial-and-error screening, somewhat refined by the adoption of the multifactorial design of experiments (Zhao et al. 2008; Holmes et al. 2009; Jafari et al. 2011).

This study used a multifactorial design to examine the cellular responses of Staphylococcus aureus to hydrogen peroxide (0 100 mM) when bacteria were grown in temperatures of 37 ± 2 °C and pH 7 ± 1, conditions potentially encountered in wound sites.

Using a multifactorial design, the effect of soy lecithin (L) and carboxymethylcellulose (CMC) used as foam stabilizers (0 1.50 g/100 g), as well as temperature (T) (53 87 °C), on phenolic content and antioxidant capacity of mango were evaluated.

The investigations of values in multifactorial design were examined by means of two-way analysis of variance (two-way repeated-measures ANOVA).

A multifactorial design, considering two levels of coagulation temperature (28 and 44 °C), pH (6.0 and 6.8) and concentration of CaCl2 (10 and 18 mM), was applied.

Since our multifactorial design involves a large number of distinct factor-level combinations (1458 in total), and for each combination we run nine distinct MCMC samplers, we considered only a single replication per simulation parameter combination.

Statistical analyses and graphical presentation of data for multifactorial design was performed using Minitab software (Version 17).