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The main experimental variables that influence the nano-Ag deposition dynamics are temperature, deposition rate, and the residual vacuum [20, 25].
The main experimental variables are the type and the composition of the catalyst, the catalyst loading, temperature, oxygen partial pressure, initial phenol concentration and the stirrer speed.
The optimization of the main experimental variables involved in the process, such as type of enzyme, and hydrolysis conditions, concretely enzyme to substrate ratio, time and temperature, were evaluated using response surface methodology.
The optimization of the main experimental variables involved in the process [concentration of Corolase PP, concentration of Peptidase 433P (Biocatalysts Ltd., Parc Nantgarw, UK), and the hydrolysis time on the HLPLP concentration, expressed as area of peak] were studied using a central composite face design.
The optimization of the main experimental variables, such as equilibrium time (5 10 min), extraction time (10 50 min) and extraction temperature (20 60 °C) of a headspace solid phase microextraction-gas chromatography mass spectrometry (HS-SPME/GC MS) procedure, for profiling volatile components in cooked beef semimembranosus muscle was evaluated using response surface metHS-SPME/GC MS
We calculated the total variance for each transcript across all microarrays and estimated the percent of per transcript variance that was due to the main experimental variables (accession, treatment and replicate) as well as their interaction terms.
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Moreover, when the differential expression is measured for the main experimental variable compared to control, the encoding focuses on the changes each experiment targeted [item (iv) above].
After evaluating the main and interaction effects of experimental variables on the responses, an optimized formulation was theoretically obtained from Box Behnken design that has the smallest particle size as well as the highest entrapment efficiency percent when cholesterol quantities, Tween 80 percentage and sonication time were 7.74 mg, 2.5% and 3.7 min respectively.
Main effects plots to check experimental variables (not shown) and a one-way ANOVA test using Tukey method to assess differences between QCM positions and QCM devices were also determined using MINITAB.
The Levine Rice is the main experimental HI model; however, critical variables such as the age of animals, sex and hemisphere damaged still receive little attention in experimental design.
Inverse Cycle Threshold values (ICT) obtained in rtPCR from each tonsil homogenate and after each one of the 9 enrichment procedures were analyzed as the quantitative dependent variable for the main experimental categorical effects: protocol, dilution and incubation temperature.
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