The use of Design of Experiments and Response Surface Methodology to optimize biomass and lipid production by the oleaginous marine green alga, Nannochloropsis gaditana in response to light intensity, inoculum size and CO 2

2015 ◽  
Vol 184 ◽  
pp. 161-168 ◽  
Author(s):  
Patrick C. Hallenbeck ◽  
Melanie Grogger ◽  
Megan Mraz ◽  
Donald Veverka
Keyword(s):  
Response Surface Methodology ◽  
Light Intensity ◽  
Design Of Experiments ◽  
Response Surface ◽  
Green Alga ◽  
Lipid Production ◽  
Inoculum Size ◽  
Nannochloropsis Gaditana ◽  
Marine Green Alga

scholarly journals Optimization of Crude Oil and PAHs Degradation by Stenotrophomonas rhizophila KX082814 Strain through Response Surface Methodology Using Box-Behnken Design

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Praveen Kumar Siddalingappa Virupakshappa ◽  
Manjunatha Bukkambudhi Krishnaswamy ◽  
Gaurav Mishra ◽  
Mohammed Ameenuddin Mehkri
Keyword(s):  
Response Surface Methodology ◽  
Crude Oil ◽  
Response Surface ◽  
Oxygen Demand ◽  
Inoculum Size ◽  
Coefficient Of Determination ◽  
Oil Removal ◽  
Box Behnken Design ◽  
Stenotrophomonas Rhizophila ◽  
Crude Oil Removal

The present paper describes the process optimization study for crude oil degradation which is a continuation of our earlier work on hydrocarbon degradation study of the isolate Stenotrophomonas rhizophila (PM-1) with GenBank accession number KX082814. Response Surface Methodology with Box-Behnken Design was used to optimize the process wherein temperature, pH, salinity, and inoculum size (at three levels) were used as independent variables and Total Petroleum Hydrocarbon, Biological Oxygen Demand, and Chemical Oxygen Demand of crude oil and PAHs as dependent variables (response). The statistical analysis, via ANOVA, showed coefficient of determination R2 as 0.7678 with statistically significant P value 0.0163 fitting in second-order quadratic regression model for crude oil removal. The predicted optimum parameters, namely, temperature, pH, salinity, and inoculum size, were found to be 32.5°C, 9, 12.5, and 12.5 mL, respectively. At this optimum condition, the observed and predicted PAHs and crude oil removal were found to be 71.82% and 79.53% in validation experiments, respectively. The % TPH results correlate with GC/MS studies, BOD, COD, and TPC. The validation of numerical optimization was done through GC/MS studies and   % removal of crude oil.

scholarly journals Synthesis of flexible polyurethane foam for applications in planar orthosis using the response surface methodology

2020 ◽  
pp. 1-4
Author(s):  
Jorge Alejandro TORRES-OCHOA ◽  
Nadia Renata OSORNIO-RUBIO ◽  
Orlando CORTAZAR-MARTINEZ ◽  
Victor Alfonso MORALES-NIETO
Keyword(s):  
Response Surface Methodology ◽  
Design Of Experiments ◽  
Response Surface ◽  
Polyurethane Foam ◽  
Reaction Temperature ◽  
Foam Formulation ◽  
Flexible Polyurethane Foam ◽  
Flexible Polyurethane ◽  
Response Variables ◽  
Foaming Time

In this work, the process for the formulation of flexible polyurethane foam is presented following a design of experiments for mixtures. The proportion of polyol, diisocyanate, and crosslinker was considered as factors. The response variables considered were foaming time and reaction temperature. The result of the experiments showed that there is an area where the foam formulation is better. This zone is closed with 5% crosslinker, 50% polyol, and 45% diisocyanate, in this formulation denser foams with more uniform bubbles were obtained

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.

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