scholarly journals Application of Response Surface Methodology in the Preparation of Pectin-Caseinate Nanocomplexes for Potential Use as Nutraceutical Formulation: A Statistical Experimental Design Analysis

2018 ◽  
Vol 24 (1) ◽  
pp. 52-59 ◽  
Author(s):  
Sajedeh Bahrani ◽  
Babak Ghanbarzadeh ◽  
Mahmoud Sowti Khiabani ◽  
Saeed Ghanbarzadeh ◽  
Hamed Hamishehkar
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Design Analysis ◽  
Statistical Experimental Design ◽  
Potential Use

scholarly journals Modeling and Sensitivity Analysis of the Forward Osmosis Process to Predict Membrane Flux Using a Novel Combination of Neural Network and Response Surface Methodology Techniques

Membranes ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 70
Author(s):  
Jasir Jawad ◽  
Alaa H. Hawari ◽  
Syed Javaid Zaidi
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Forward Osmosis ◽  
Feed Solution ◽  
Operating Conditions ◽  
Ann Model ◽  
Membrane Flux ◽  
Input Variables ◽  
Rsm Model

The forward osmosis (FO) process is an emerging technology that has been considered as an alternative to desalination due to its low energy consumption and less severe reversible fouling. Artificial neural networks (ANNs) and response surface methodology (RSM) have become popular for the modeling and optimization of membrane processes. RSM requires the data on a specific experimental design whereas ANN does not. In this work, a combined ANN-RSM approach is presented to predict and optimize the membrane flux for the FO process. The ANN model, developed based on an experimental study, is used to predict the membrane flux for the experimental design in order to create the RSM model for optimization. A Box–Behnken design (BBD) is used to develop a response surface design where the ANN model evaluates the responses. The input variables were osmotic pressure difference, feed solution (FS) velocity, draw solution (DS) velocity, FS temperature, and DS temperature. The R2 obtained for the developed ANN and RSM model are 0.98036 and 0.9408, respectively. The weights of the ANN model and the response surface plots were used to optimize and study the influence of the operating conditions on the membrane flux.

Adsorption heat pump optimization by experimental design and response surface methodology

2018 ◽  
Vol 138 ◽  
pp. 849-860 ◽  
Author(s):  
Joana M. Pinheiro ◽  
Sérgio Salústio ◽  
Anabela A. Valente ◽  
Carlos M. Silva
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Heat Pump ◽  
Adsorption Heat ◽  
Adsorption Heat Pump

Preparation and Optimization of Capsaicin-Loaded Chitosan Nanoparticles as Delivery Systems Using Box-Behnken Design

2020 ◽  
Vol 998 ◽  
pp. 277-282
Author(s):  
Narissara Kulpreechanan ◽  
Feuangthit N. Sorasitthiyanukarn
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Functional Foods ◽  
Water Solubility ◽  
Chitosan Nanoparticles ◽  
Tween 80 ◽  
Limiting Factors ◽  
Design And Optimization ◽  
Chili Peppers

Capsaicin (CAP) is a pungent alkaloid of chili peppers that is obtained from chili peppers that has a variety of pharmacological activities and can be used in various areas, such as functional foods, nutritional supplements and medical nutrition. Capsaicin has important anticancer, antioxidant and anti-inflammatory properties that allow to be applied as treatment for several diseases. However, its lack of water solubility, as well as its poor oral bioavailability in biological systems, show limiting factors for its successful application. Recently, the formulation of capsaicin for food and pharmaceutical use is limited. Therefore, the present study emphasized on preparation of capsaicin-loaded chitosan nanoparticles (CAP-CSNPs) and design and optimization of the formulation using Box-Behnken experimental design (BBD) and response surface methodology (RSM). The capsaicin-loaded chitosan nanoparticles were prepared by o/w emulsification and ionotropic gelification. The optimized formulation of capsaicin-loaded chitosan nanoparticles had a chitosan concentration of 0.11 (%w/v), a Tween 80® concentration of 1.55 (%w/v) and a CAP concentration of 1 mg/mL and that it should be stored at 4°C. Box-Behnken experimental design and response surface methodology was found to be a powerful technique for design and optimization of the preparation of capsaicin-loaded chitosan nanoparticles using limited number of experimental runs. Our study demonstrated that capsaicin-loaded chitosan nanoparticles can be potentially utilized as dietary supplements, nutraceuticals and functional foods.

scholarly journals Ozonation Pretreatment for Reduction of Landfill Leachate Fouling on Membranes: A Response Surface Methodology Analysis

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 506
Author(s):  
Everton Gripa ◽  
Alyne M. Costa ◽  
Juacyara C. Campos ◽  
Fabiana V. da Fonseca
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface ◽  
Reverse Osmosis ◽  
Organic Compounds ◽  
Landfill Leachate ◽  
Operational Conditions ◽  
Toxicity Factor ◽  
High Concentrations ◽  
Modified Fouling Index

Batch ozonation was performed to assess its efficacy as a pretreatment for reverse osmosis (RO) membranes for treating leachate with high concentrations of recalcitrant organic compounds. Leachate samples from two different landfills were collected and characterized. The modified fouling index (MFI) was used to estimate the fouling potential of raw and ozonized leachates. A response surface experimental design was applied to optimize operational pH and ozone dose. The results demonstrate that the best operational conditions are 1.5 g/L of O3 at pH 12.0 and 1.5 g/L of O3 at pH 9.0 for Landfills 1 and 2, which reduce MFI by 96.22% and 94.08%, respectively. Additionally, they show toxicity factor decays of 98.44% for Landfill 1 and 93.75% for Landfill 2. These results, along with the similar behavior shown by leachate samples from distinct landfills, suggest that ozonation is a promising technology to fit this kind of wastewater into the requirements of RO membranes, enabling their use in such treatment.

scholarly journals Production of glucosyltransferase by Erwinia sp. using experimental design and response surface methodology

2005 ◽  
Vol 36 (3) ◽  
Author(s):  
Haroldo Yukio Kawaguti ◽  
Eiric Manrich ◽  
Luciana Francisco Fleuri ◽  
Hélia Harumi Sato
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Response Surface

Optimization of physical parameters for phycobiliprotein extracted from Oscillatoria agardhii and Synechococcus nidulans / Oscillatoria agardhii ve Synechococcus nidulans türlerinden fikobiliprotein ekstraksiyonu için fiziksel parametrelerin optimizasyonu

2015 ◽  
Vol 40 (6) ◽  
Author(s):  
İrem Deniz ◽  
Esra İmamoğlu ◽  
Meltem Conk Dalay
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Light Intensity ◽  
Response Surface ◽  
Process Parameters ◽  
High Yield ◽  
Physical Parameters ◽  
Agitation Rate ◽  
Orbital Shaking ◽  
Oscillatoria Agardhii

AbstractObjective: Physical process parameters play a major role in the cultivation of cyanobacteria to provide high yield. The aim of this study was to optimize physical parameters such as light intensity and agitation rate which might affect the phycobiliprotein formations for cyanobacterial strains of Oscillatoria agardhii and Synechococcus nidulans using response surface methodology.Methods: The cyanobacterial strains were cultured in 250 mL flasks containing 100 mL of EM medium in orbital shaking incubator under the temperature of 22±2°C at different light intensities and agitation rates for 10 days. The experimental design was carried out using 2Results: The optimization solution of O. agardhii (approximately at 156 rpm under the light intensity of 65 μmol photons mConclusion: High agitation rate stimulated the faster growth than increased the light intensity for the growths of cyanobacterial strains.

Optimization of Critical Medium Components for the Expression of Recombinant Human Transferrin in Insect Cells Baculovirus System

2012 ◽  
Author(s):  
Clarence M. Ongkudon ◽  
Badarulhisam Abdul Rahman ◽  
Azila Abd. Aziz
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Central Composite Design ◽  
Response Surface ◽  
Insect Cells ◽  
Expression System ◽  
Proliferating Cells ◽  
Human Transferrin ◽  
Lipid Mixtures ◽  
Central Composite

Transferin manusia (hTf) memainkan peranan yang penting dalam fungsi bakteriostatik dan pengangkutan ferum dari bahagian penyimpanan ke sel–sel yang membiak melalui proses endositosis janaan reseptor. Sistem ekspresi bakulovirus sel serangga telah dipakai secara meluas sebagai sistem alternatif dalam penghasilan Transferin manusia rekombinan (rhTf). Kajian ini ditumpukan ke atas pengoptimuman glutamina, glukosa dan campuran lipid 1000x yang dapat meningkatkan penghasilan rhTf. Reka bentuk eksperimen yang melibatkan 17 eksperimen reka bentuk komposit berpusat (CCD) telah digunakan dan hasil kajian dianalisis oleh Statistika (Statsoft v. 5.0). Metodologi permukaan tindak balas (RSM) telah mengenalpasti nilai optimum parameterparameter yang dikaji iaitu glutamina=2211.20 mg/L, glukosa=1291.95 mg/L, dan campuran lipid 1000x=0.64 %v/v. Hasil optimasi menunjukkan peningkatan hasil rhTf sebanyak tiga kali ganda, iaitu daripada 19.89 μg/ml kepada 65.12 μg/ml. Kata kunci: Transferin manusia; bakulovirus sel serangga; reka bentuk eksperimen; reka bentuk komposit berpusat; metodologi permukaan tindak balas Human Transferrin (hTf) plays a big role in providing bacteriostatic functions as well as to transport iron from the storage part to all proliferating cells by receptor mediated endocytosis. Insect cells baculovirus expression system has been widely used as an alternative expression system for the production of recombinant human Transferrin (rhTf). This work focused mainly on the optimization of glutamine, glucose and lipid mixtures 1000x to increase rhTf yield. An experimental design involving 17 central composite design (CCD) experiments was employed and results were analyzed by Statistica (Statsoft v. 5.0). The response surface methodology (RSM) had identified the optimum values where glutamine=2211.20 mg/L, glucose=1291.95 mg/L, and lipid mixtures 1000x=0.64 %v/v. Using the optimized parameters, the studies demonstrated an increase in the rhTf yield by three–fold from 19.89 μg/ml to 65.12 μg/ml. Key words: Human transferrin; insect cells baculovirus; experimental design; central composite design; response surface methodology

scholarly journals Box-Behnken Experimental Design for Extraction of Spinosin from Ziziphus mauritiana Lam. Seeds

2019 ◽  
Vol 31 (5) ◽  
pp. 1045-1048
Author(s):  
Quang Thuong Tran ◽  
Loan Thi Thanh Vu ◽  
Tram Huyen Le ◽  
Ly Thi Phuong Giang ◽  
Toyonobu Usuki
Keyword(s):  
Response Surface Methodology ◽  
Experimental Design ◽  
Factorial Design ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Raw Material ◽  
Extraction Time ◽  
Ziziphus Mauritiana ◽  
Solid Ratio ◽  
Extraction Parameters

The objective of this study was to evaluate the effects of extraction parameters (ethanol concentration, extraction ratio of solvent to raw material and extraction time) on the yield of spinosin from the seeds of Ziziphus mauritiana Lam. Box-Behnken factorial design was used in association with response surface methodology. The optimal extraction conditions were an ethanol concentration of 61 %, 40 (v/w) liquid-to-solid ratio, and 2.6 h extraction time with reflux. Spinosin was purified using Diaion HP20SS as an adsorbent. The maximum spinosin yield was 1.18 mg/g raw material. Present findings can be applied to future approaches for maximizing the extraction of spinosin from Z. mauritiana Lam. seeds.

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