Supercritical CO2 Extraction of Plumula nelumbinis Oil Rich in γ-Sitosterol Using Response Surface Methodology

Factorial Design ◽

Response Surface ◽

Surface Analysis ◽

Full Factorial Design ◽

Response Surface Analysis ◽

Optimal Conditions ◽

Supercritical CO2extraction ofPlumula nelumbinisoil rich in γ-sitosterol was investigated with a 42full factorial design and response surface analysis. At optimal conditions (P=35 MPa,T=55 C,dp=0.22 mm,Q=2.0 L/min), the yield of the extracted oil was up to 12.2%, in which the concentration of γ-sitosterol was 7.38%, indicating that the γ-sitosterol contents inPlumula nelumbinisand its oil were much higher than that in other vegetables.

Optimization of pyrocatechol violet biosorption by Robinia pseudoacacia leaf powder using response surface methodology: kinetic, isotherm and thermodynamic studies

Journal of Water Reuse and Desalination ◽

10.2166/wrd.2015.054 ◽

2015 ◽

Vol 6 (2) ◽

pp. 333-344 ◽

Cited By ~ 1

Author(s):

Neda Khorshidi ◽

Ali Niazi

Keyword(s):

Factorial Design ◽

Response Surface ◽

Robinia Pseudoacacia ◽

Freundlich Isotherm ◽

Second Order ◽

Full Factorial Design ◽

Order Kinetic ◽

Pyrocatechol Violet ◽

We have investigated the biosorption of pyrocatechol violet (PCV) from aqueous solutions by Robinia pseudoacacia tree leaves as a low-cost and eco-friendly biosorbent. A full factorial design was performed for screening the main variables and their interactions, which reduces the large total number of experiments. Results of the full factorial design (24) based on an analysis of variance (ANOVA) demonstrated that the initial PCV concentration, contact time, pH and temperature are statistically significant. Box-Behnken design, a response surface methodology, was used for further optimization of these selected factors. The ANOVA and some statistical tests such as lack-of-fit and coefficient of determination (R2) showed good fit of the experimental data to the second-order polynomial model. The Langmuir and Freundlich isotherm models were used to describe the equilibrium isotherms. Equilibrium data fitted well with the Freundlich isotherm model (R2 > 0.97). In addition, thermodynamic parameters (ΔG°, ΔH° and ΔS°) were calculated, these parameters show that the biosorption process was spontaneous (ΔG° = −2.423) and exothermic (ΔH° = −9.67). The biosorption kinetic data were fitted with the pseudo-second-order kinetic model (R2 > 0.999). These results confirm that R. pseudoacacia leaves have good potential for removal of PCV from aqueous solution.

Optimisation of ultrasound-assisted extraction conditions for maximal recovery of active monacolins and removal of toxic citrinin from red yeast rice by a full factorial design coupled with response surface methodology

Food Chemistry ◽

10.1016/j.foodchem.2014.08.080 ◽

2015 ◽

Vol 170 ◽

pp. 186-192 ◽

Cited By ~ 38

Author(s):

Guisheng Zhou ◽

Lei Fu ◽

Xiaobo Li

Keyword(s):

Factorial Design ◽

Response Surface ◽

Full Factorial Design ◽

Red Yeast Rice ◽

Ultrasound Assisted Extraction ◽

Red Yeast ◽

Assisted Extraction ◽

Ultrasound Assisted ◽

Mathematical modeling and optimization by the application of full factorial design and response surface methodology approach for decolourization of dyes by a newly isolated Photobacterium ganghwense

Journal of Water Process Engineering ◽

10.1016/j.jwpe.2021.102429 ◽

2021 ◽

Vol 44 ◽

pp. 102429

Author(s):

Hisham N. Altayb ◽

Bochra Kouidhi ◽

Othman A.S. Baothman ◽

Jawaher Abdualbaqi Abdulhakim ◽

Lamia Ayed ◽

...

Keyword(s):

Mathematical Modeling ◽

Factorial Design ◽

Response Surface ◽

Full Factorial Design ◽

Modeling And Optimization ◽

Using full-factorial design analysis and response surface methodology to better understand the production of cationized chitosan from epoxides

Polymer International ◽

10.1002/pi.5137 ◽

2016 ◽

Vol 65 (7) ◽

pp. 811-819 ◽

Cited By ~ 4

Author(s):

Tonimar DA Senra ◽

Jacques Desbrières

Keyword(s):

Factorial Design ◽

Response Surface ◽

Design Analysis ◽

Full Factorial Design ◽

Factorial Design Analysis ◽

Response surface analysis for principal component of multiple variables - a method to select the optimal conditions for seed treatments

Seed Science and Technology ◽

10.15258/sst.2005.33.3.17 ◽

2005 ◽

Vol 33 (3) ◽

pp. 699-703 ◽

Cited By ~ 1

Author(s):

S. Zhang ◽

J. Hu ◽

C.H. Gao

Keyword(s):

Response Surface ◽

Surface Analysis ◽

Principal Component ◽

Response Surface Analysis ◽

Optimal Conditions ◽

Seed Treatments ◽

Multiple Variables

Optimization of promethazine theoclate fast dissolving tablet using pore forming technology by 3-factor, 3-level response surface-full factorial design

Archives of Pharmacal Research ◽

10.1007/s12272-010-0810-4 ◽

2010 ◽

Vol 33 (8) ◽

pp. 1199-1207 ◽

Cited By ~ 3

Author(s):

Shailesh Sharma ◽

Neelam Sharma ◽

Ghanshyam Das Gupta

Keyword(s):

Factorial Design ◽

Response Surface ◽

Full Factorial Design ◽

Forming Technology ◽

Application of two-level full factorial design and response surface methodology in the optimization of inductively coupled plasma-optical emission spectrometry (ICPOES) instrumental parameters for the determination of platinum

Journal of Geology and Mining Research ◽

10.5897/jgmr2017.0278 ◽

2017 ◽

Vol 9 (5) ◽

pp. 43-53

Author(s):

Mapfumo Raison ◽

Fungayi Zaranyika Mark

Keyword(s):

Factorial Design ◽

Response Surface ◽

Inductively Coupled Plasma ◽

Optical Emission ◽

Emission Spectrometry ◽

Inductively Coupled ◽

Plasma Optical Emission Spectrometry ◽

Statistical Optimization of the Induction of Phytase Production by Arabinose in a recombinant E. coli using Response Surface Methodology

ASEAN Journal on Science and Technology for Development ◽

10.29037/ajstd.304 ◽

2017 ◽

Vol 26 (1) ◽

pp. 57-64

Author(s):

Abd-El Aziem Farouk ◽

Anis Shobirin Meor Hussin ◽

Ralf Greiner ◽

Shareef Mohideen Ismail ◽

Hamadah Mohd Nur Lubis

Keyword(s):

Response Surface ◽

Incubation Temperature ◽

Expression System ◽

Optimal Conditions ◽

Phytase Production ◽

E Coli ◽

Central Composite Experimental Design ◽

Full Factorial ◽

Central Composite

The production of phytase in a recombinant E.coli using the pBAD expression system was optimized using response surface methodology with full-factorial faced centered central composite design. The ampicilin and arabinose concentration in the cultivation media and the incubation temperature were optimized in order to maximize phytase production using 2 3 central composite experimental design. With this design the number of actual experiment performed could be reduced while allowing eludidation of possible interactions among these factors. The most significant parameter was shown to be the linear and quadratic effect of the incubation temperature. Optimal conditions for phytase production were determined to be 100 µg/ml ampicilin, 0.2 % arabinose and an incubation temperature of 37ºC. The production of phytase in the recombinant E. coli was scaled up to 100 ml and 1000 ml.