Formulation design by [3.sup.2] factorial design
In the experimental fractional factorial design
[2.sup.5-1] (Table 1), the different combinations of experiments were used to evaluate the effects of the substrate (rice or wheat bran), initial moisture humidity (40, 50 and 60%), processing temperature (25; 30; 35[degrees]C), initial pH of the non-sterile medium (4.0; 4.5; 5.0) and use of soybean oil (purchased in local market) as an additional carbon source (0; 0.5; 1.0%) in the biosurfactant production.
A fractional factorial design
with the above mentioned four factors allows the evaluation of the operating window for a given compound and its dependency on compound and mold temperature.
These mentioned procedures did not evaluate the influence of the experimental parameters on the reaction yield, for example, and several recent works reported the synthesis optimization based on a factorial design
of experiment with different level and factors, such as: sonication time, initial concentration and adsorbent dose for obtaining optimum parameters for copper and lead ions removal by a MOF of cadmium and terephthalate, Cd-TPA, in two levels ([2.sup.3]) .
Detailed fractional factorial design
experiments were designed based on well-known statistical methods.
Nathan Kuppermann, M.D., M.P.H., from University of California, Davis, and colleagues randomly assigned 1,255 children with diabetic ketoacidosis (1,389 episodes) to one of four treatment groups in a 2-by-2 factorial design
(0.9 or 0.45 percent sodium chloride content and rapid or slow rate of administration).
To evaluate the effects of temperature and pressure under the permeate and concentrate flow of the 100kDa membrane, a factorial design
[2.sup.2] (design 1) was first carried out, varying the temperature (20 to 40[degrees]C) and the pressure (1 to 3 bar) for water and milk whey.
24 full factorial design
(FFD) was employed to optimize the experimental conditions.
For other models, a crossed or modified factorial design
might be appropriate, for example, when the goal is to test the individual and joint effects of care management fees and outcome-based incentives.
In this study, a single-replicate of a full [2.sup.k] factorial design
with three center points was applied to evaluate the synthesis variables' influence on the thickness of the sodium niobate layer, such as temperature, duration of synthesis, and alkali concentration.
Aissani-Benissad, "Experimental design for copper cementation process in fixed bed reactor using two-level factorial design
," Arabian Journal of Chemistry, vol.