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This work presents the optimized ammonia injection grid (AIG) to enhance the mixing performance and optimize concentration uniformity.
32 factorial design was utilized to optimize concentration of hydroxylpropylmethylcellulose (HPMC) K15M and K100M to obtain the desired responses (drug release at one and six hours).
The Response Surface Box-Behnken Design (BBD) with three variables and 17 assays was used to optimize concentration of essential oils (EOs) (1.1 15.8 mg/mL), disinfection time (10 min), and level of pH (4.5‐7.5) in the EO-based disinfection solutions.
It can be seen that it is important to know the location of the target in order to optimize concentration profiles and drug effects.
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A two factor, three levels (32) full factorial design was used to optimize concentrations of calcium silicate and lubricant.
In phase III, a central composite design with response surface methodology was used to optimize concentrations of these critical factors.
Central composite design (CCD) was used to optimize concentrations of cellulase and pectinase, temperature and time for ethanol production from BP using SSF.
Additional ligations were carried out at 20°C to optimize concentrations of input oligonucleotides and DNA ligase (Figs. S1B and S1C), and the resulting optimized conditions were used in all subsequent reactions (detailed in Materials and Methods).
Then, we optimized concentration of particles in the deposited solution until a single layer covered the majority of the substrate area.
Thus, for optimizing concentration of surfactant, again three formulations S1, S2, and S3 were prepared using 8, 12, and 16 mM of sodium desoxycholate.
Finally, in selecting sampling locations, certain site characteristics potentially impeding accurate sample collection should be considered (e.g., construction, lack of secure outdoor space or power outlets), and incorporated into previous methods for optimizing concentration variability, such as that outlined in [ 12].
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