Different mass transfer models (Crank, Sovová, and Martinez models) reported in the literature were used to model the extraction curves.
Three factors three levels Central composite design coupled with RSM was used to model the extraction process.
Three factors-three level Box Behnken response surface design (BBD) coupled with RSM was used to model the extraction process.
The aim of this study was to model the extraction of phenolic antioxidants and identify the principal individual phenolic compounds of white tea by LC-DAD-MS/MS.
Response surface methodology along with a Box Behnken design based on single-factor experiments was employed to optimize and model the extraction conditions of HDPs, namely extraction temperature (40 60 °C), ultrasonic power (320 480 W) and extraction time (35 65 min).
The model can also easily be extended to model the extraction of a number of different coffee constituents rather than just a single entity.
Using the LPS method for sensor geometry modeling the extraction of the corresponding DEM produced good results that are suitable for the operational use in planning and development of natural watersheds.
Quantification of myocardial blood flow (MBF) and coronary flow reserve (CFR) can be obtained from 82Rb PET but relies on accurately modeling the extraction fraction of rubidium by myocardial tissue, which is nonlinearly related to flow as described by the generalized Renkin-Crone model [5 8].
This method is used to model the heat extraction from a hypothetical pond in Tehran for three months of August, September, and November.
The delignification process was modeled as the extraction of lignin from the solid biomatrix to estimate its diffusivity at 3.43×10−13 m2/s and activation energy 16.2 kJ/mole.
