scholarly journals Optimization of Batch Cultivation of Chlorella sp. Using Response Surface Methodology

2019 ◽  
pp. 1-14
Author(s):  
Sandra E. Ezeani ◽  
Gideon O. Abu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biomass Production ◽  
Nitrogen Concentration ◽  
Inoculum Size ◽  
Limiting Factors ◽  
Minimal Effect ◽  
Maximum Biomass ◽  
Chlorella Sp ◽  
Chlorophyll Production

Optimal biomass production from microalgae using the NPK 20:20:20 medium; a relatively cheaper and locally available medium has been identified as an important factor in the large-scale algal biomass production. In this study, various concentrations (0.3-0.7 g/l) of NPK 20:20:20 were considered as the source of nitrogen in the growth medium for Chlorella sp. Four independent parameters in algae culture (nitrogen concentration, pH, inoculum size and duration of the experiment at varying ranges were studied for maximum biomass and chlorophyll production. Response Surface Methodology (RSM) procedure result that nitrogen concentration and pH level are the dominant factors affecting biomass and chlorophyll production. Maximum biomass was achieved at 0.5 g/l N and 8.5 pH value. Higher N (0.8 g/l) and lower N (0.3 g/l) had minimal effect on biomass and chlorophyll production. There was a linear relationship between chlorophyll and biomass production while the residual nitrogen had an inverse relationship with biomass production. Nitrogen concentration and pH were shown to be limiting factors under the conditions of the study. The inoculum size and duration of the experiment had a minimal effect on biomass production. 

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.

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.

Optimising of Scenedesmus sp. biomass production in chicken slaughterhouse wastewater using response surface methodology and potential utilisation as fish feeds

2019 ◽  
Vol 26 (12) ◽  
pp. 12089-12108 ◽  
Author(s):  
Maizatul Azrina Yaakob ◽  
Radin Maya Saphira Radin Mohamed ◽  
Adel Al-Gheethi ◽  
Athirah Tiey ◽  
Amir Hashim Mohd Kassim
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biomass Production ◽  
Slaughterhouse Wastewater ◽  
Fish Feeds

scholarly journals Response Surface ‎Methodology for Optimization of Ethanol ‎Production from Cocoa Waste

2020 ◽  
Vol 1 (1) ◽  
pp. 7-12
Keyword(s):  
Response Surface Methodology ◽  
Ethanol Production ◽  
Response Surface ◽  
Simultaneous Saccharification And Fermentation ◽  
Inoculum Size ◽  
Fermented Food ◽  
Optimum Conditions ◽  
Anova Analysis ◽  
Full Factorial ◽  
Simultaneous Saccharification

Cocoa waste (CW) is an inexpensive agro-industrial by-product that is available in large quantities in tropical countries such as Malaysia. The rate of ethanol production can be affected by different parameters involved during fermentation. In this study, response surface methodology (RSM) with the full factorial design was used to obtain optimum conditions for bioethanol production using CW as the substrate. The simultaneous saccharification and fermentation (SSF) performed with an isolated microorganism from locally fermented food tapai ubi and tapai pulut. The effect of four independent variables temperature, CW concentration, inoculum size, and pH was investigated. In the optimized condition temperature of 31.7°C, pH 6.0, inoculum size 10.5%, and CW concentration 0.3 g/L, the highest ethanol production was 9.5 ± 1.1. ANOVA analysis revealed that temperature and CW concentration had the most significant effects on ethanol production. In addition, ethanol production was increased in the highest level of pH and inoculum size. Therefore it can be concluded that ethanol production increased from 6.2 ± 0.8 g/L to 9.5 ± 1.1 g/L after optimization.

scholarly journals A cleaner production of diosgenin from Dioscorea Zingiberensis Wright biotransformed by Lactobacillus casei

2017 ◽  
pp. 760
Author(s):  
He Chen ◽  
Zhuo Wang ◽  
Guowei Shu
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Conversion Rate ◽  
Lactobacillus Casei ◽  
Inoculum Size ◽  
Cleaner Production ◽  
Single Factor ◽  
Fermentation Conditions ◽  
Predicted Values ◽  
Factor Variable

The effect of 24 probiotics on disogenin production had been conducted in our preliminary work. Consequently, Lactobacillus casei was selected as the fermentation strain with high potential in biotransformation and effects of main parameters on biotransformation were verified through single factor variable experiments. The fermentation conditions were optimized using response surface methodology, which would be helpful to enhance biotransformation efficiency and achieve a high-valued utilization of DZW in diosgenin production. Single factor variable experiments indicated that biotransformation was highly depend on temperature. The conversion rate of saponin reached to (22.1 ± 0.6) %, (15.5 ± 0.3) % and (17.0 ± 0.4) % under each optimal condition of 43°C, 24 hours and 4% inoculum size respectively. According to results of single factor variable experiments, fermentation conditions were optimized through response surface methodology. The 32.4% of conversion rate and 3.95 µg/mL of diosgenin concentration were predicted to be optimal value under the condition of 42°C, 27 hours, 3% inoculum size. The verification results were (32.8 ± 0.9)% of conversion rate and (4.01±0.02) µg/mL of diosgenin concentration under the same conditions, which were close to the predicted values. The conversion rate increased by 41.9% compared to the initial value. Feasibility of converting saponin to diosgenin through probiotics by biotransformation was verified in this paper and the results could be the reference for a cleaner production of diosgenin.

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