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The methodology was optimized applying a centred 23 factorial experimental design.
The CZE methodology was optimized through the 23 central composite design (23 CCD) with three replicates in central point, having as factors Brij 35, acetonitrile and 1-octanol.
The methodology was optimized using a Doehlert design and the system variables were the concentrations of surfactant and HNO3 in the solution employed in the emulsification and the temperature used in the emulsion breaking.
Raw materials were chemically characterized, and green extraction methodology was optimized by using water, ethanol, and their mixture based on the extraction yields.
First, the methodology was optimized by testing different types of ligase enzymes, labeling, and membranes.
The TaqMan methodology was optimized for quantification of mouse GABA-A receptor subunits (α1 6, β1 3, γ2, and δ) and GAPDH.
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However, the chitin processing methodology could be optimized for compressive strength, by either incorporating reinforcing coils in the tube wall, or air-drying the hydrogel tubes.
Consequently, extraction methodologies must be optimized for each sample type and application [ 18].
Sequential optimization strategy using Plackett Burman screening and response surface methodology was adopted to optimize the submerged fermentation process.
The main idea of response surface methodology is to optimize an unknown and noisy function by means of simpler approximating functions that are valid over a small region using designed experiments.
Sequential optimization approach using Taguchi orthogonal array screening and response surface methodology was adopted to optimize the fermentation variables in order to enhance the enzyme production.
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