The conditions of the MSPE based on NAND-1 were optimized by single factor and orthogonal design experiments.
Based on the yield of essential oil in the first and second separation columns, the effects of parameters were investigated by single factor experiments and Box Behnken design.
To optimize the extracting technology of assessing the maximum yield of phenolic compounds (PC) from Inonotus obliquus by single factor experiments and orthogonal array design methods through aqueous two-phase systems combined with ultrasonic extraction.
The optimum conditions of 1.10 M ionic liquid concentration, 4 min homogenate time, 23 mL/g liquid-solid ratio and one extraction cycle for the ILHE process were obtained after investigating by single factor experiments, extraction kinetics and Box-Benhnken design.
The important factors, namely, the composition of ATPS, extraction temperature, solvent-to-material ratio, extraction time and the particle size were investigated by single factor experiment and response surface methodology (RS M combined with Box Behnken Design (BBD).
The factors of major effects on the extraction were selected by single factor experiments, and the optimal levels of three main effective factors were obtained using the response surface method by employing Box Behnken design.
The extraction conditions were firstly optimized by single factor experiments.
The working conditions of CCPUE were studied by single-factor experiment design and the results showed that the optimal conditions were: initial temperature 25 °C, methanol to triglyceride molar ratio 10 1, flow rate 200 mL/min, catalyst content 1.8%, ultrasound working on-time 4 s, off-time 2 s, total working time 50 min.
The MeJA induction time and feeding concentration, known to be crucial to plant cell culture, were investigated by single-factor experimental design by varying a single factor at a time and keeping other factors at a constant value.
Effect of initial pH, light intensity, temperature and material to liquid ratio on the hydrogen production by HAU-M1 was evaluated using both single-factor design and response surface methodology (RS M.
