scholarly journals Enhanced polyhydroxybutyrate (PHB) production by newly isolated rare actinomycetes Rhodococcus sp. strain BSRT1-1 using response surface methodology

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Chanaporn Trakunjae ◽  
Antika Boondaeng ◽  
Waraporn Apiwatanapiwat ◽  
Akihiko Kosugi ◽  
Takamitsu Arai ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Maximum Yield ◽  
Decomposition Temperature ◽  
Stirred Tank Bioreactor ◽  
H Nmr ◽  
Rare Actinomycetes ◽  
Dry Cell Weight ◽  
Phb Production ◽  
Dry Cell

AbstractPoly-β-hydroxybutyrate (PHB) is a biodegradable polymer, synthesized as carbon and energy reserve by bacteria and archaea. To the best of our knowledge, this is the first report on PHB production by a rare actinomycete species, Rhodococcus pyridinivorans BSRT1-1. Response surface methodology (RSM) employing central composite design, was applied to enhance PHB production in a flask scale. A maximum yield of 3.6 ± 0.5 g/L in biomass and 43.1 ± 0.5 wt% of dry cell weight (DCW) of PHB were obtained when using RSM optimized medium, which was improved the production of biomass and PHB content by 2.5 and 2.3-fold, respectively. The optimized medium was applied to upscale PHB production in a 10 L stirred-tank bioreactor, maximum biomass of 5.2 ± 0.5 g/L, and PHB content of 46.8 ± 2 wt% DCW were achieved. Furthermore, the FTIR and 1H NMR results confirmed the polymer as PHB. DSC and TGA analysis results revealed the melting, glass transition, and thermal decomposition temperature of 171.8, 4.03, and 288 °C, respectively. In conclusion, RSM can be a promising technique to improve PHB production by a newly isolated strain of R. pyridinivorans BSRT1-1 and the properties of produced PHB possessed similar properties compared to commercial PHB.

scholarly journals Optimization of Supercritical Carbon Dioxide Extraction of Quercus infectoria Oil

2015 ◽  
Vol 74 (7) ◽  
Author(s):  
Liza Md Salleh ◽  
Stashia ELeaness Rosland Abel ◽  
Gholamreza Zahedi ◽  
Russly Abd Rahman ◽  
Hasmida Mohd Nasir ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Goodness Of Fit ◽  
Maximum Yield ◽  
Extraction Yield ◽  
Extraction Time ◽  
Extraction Temperature ◽  
Predicted Values ◽  
Artificial Neural Network Ann ◽  
Quercus Infectoria

This current study focuses on the modelling and optimization of supercritical fluid extraction of Quercus infectoria galls oil. In this case, response surface methodology (RSM) and artificial neural network (ANN) were applied for the modelling and prediction of extraction yield of galls oil. A 17-run Box-Behnken Design (BBD) was employed to statistically optimize the process parameters of SC-CO2 extraction of Quercus infectoria galls at a condition as follows: pressure (5000, 6000, 7000 Psi), temperature (40, 50, 60°C) and extraction time (30, 45, 60 min). The maximum yield of the extracted oil is1.12 % and the optimum conditions are at an extraction pressure of 5574 Psi; extraction temperature of 75°C and extraction time of 54 min. Under the optimal conditions, the experimental results agree with the predicted values obtained through analysis of variance (ANOVA). This indicates a successful response surface methodology and highly satisfactory goodness of fit of the model used. The analysis of experimental design for process optimization results demonstrates that temperature and extraction time are the main parameters that influence the oil extraction of Quercus infectoria.

Optimization of aqueous extraction of orevactaene and flavanoid pigments produced by Epicoccum nigrum

2019 ◽  
Vol 48 (4) ◽  
pp. 301-308 ◽  
Author(s):  
Sawinder Kaur ◽  
Paramjit S. Panesar ◽  
Sushma Gurumayum ◽  
Prasad Rasane ◽  
Vikas Kumar
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Maximum Yield ◽  
Polynomial Equation ◽  
Extraction Process ◽  
Aqueous Extraction ◽  
Extraction Temperature ◽  
Content Type ◽  
Epicoccum Nigrum ◽  
Broken Rice

Purpose The extraction of bioactive compounds such as pigments from natural sources, using different solvents, is a vital downstream process. The present study aims to investigate the effect of different variables, namely, extraction temperature, mass of fermented rice and time on the extraction process of orevactaene and flavanoid pigment from Epicoccum nigrum fermented broken rice. Design/methodology/approach Central composite rotatable design under response surface methodology was used for deducing optimized conditions. The pigments were extracted under conditions of extraction temperature (40-70°C), mass of fermented rice (0.5-1.5 g) and time (30-90 min), using water as the extraction media. The experimental data obtained were studied by analysis of variance. Data were fitted to a second-order polynomial equation using multiple regression analysis. Findings The optimum conditions generated by the software for aqueous extraction process, i.e. extraction temperature of 55.7°C, 0.79 g of fermented matter and extraction time of 56.6 min, resulted in a pigment yield of 52.7AU/g orevactaene and 77.2 AU/g flavanoid. Research limitations/implications The developed polynomial empirical model for the optimal recovery of the orevactaene and flavanoid pigments could be used for further studies in prediction of yield under specified variable conditions. Practical implications The response surface methodology helped in optimizng the conditions for the eco-friendly low-cost aqueous extarction process for orevactaene and flavanoid pigments, produced by Epicoccum nigrum during solid state fermentation of broken rice. This optimization can provide the basis for scaling up for industrial extraction process. Originality/value This paper focuses on optimizing the extraction conditions to get the maximum yield of orevactaene and flavanoid pigments, using water as the extracting media. No literature is available on the optimization of the extraction process of Epicoccum nigrum pigments, to the best of the authors’ knowledge.

scholarly journals Poly-β-Hydroxybutyrate Production by the Cyanobacterium Scytonema geitleri Bharadwaja under Varying Environmental Conditions

Biomolecules ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 198 ◽  
Author(s):  
Manoj K. Singh ◽  
Pradeep K. Rai ◽  
Anuradha Rai ◽  
Surendra Singh ◽  
Jay Shankar Singh
Keyword(s):  
Carbon Source ◽  
Growth Phase ◽  
Environmental Conditions ◽  
Carbon Sources ◽  
Stationary Growth Phase ◽  
Stationary Growth ◽  
Cell Weight ◽  
Dry Cell Weight ◽  
Phb Production ◽  
Dry Cell

The production of poly-β-hydroxybutyrate (PHB) under varying environmental conditions (pH, temperature and carbon sources) was examined in the cyanobacterium Scytonema geitleri Bharadwaja isolated from the roof-top of a building. The S. geitleri produced PHB and the production of PHB was linear with the growth of cyanobacterium. The maximum PHB production (7.12% of dry cell weight) was recorded when the cells of S. geitleri were at their stationary growth phase. The production of PHB was optimum at pH 8.5 and 30 °C, and acetate (30 mM) was the preferred carbon source.

Optimization of Polyhydroxybutyrate (PHB) Production by Locally Isolated Bacillus aryabhattai Using Response Surface Methodology

2020 ◽  
Vol 14 (4) ◽  
pp. 359-376
Author(s):  
Neveen M El-Metwally ◽  
Reda F Allam ◽  
Mona S Shafei ◽  
Magdy A Amin ◽  
Yasser M Ragab ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Bacillus Aryabhattai ◽  
Phb Production

Optimization of Ultrasonic Extraction of Phenolics from Litchi Seed by Response Surface Methodology

2012 ◽  
Vol 610-613 ◽  
pp. 3387-3393
Author(s):  
Xiao Bing Huang ◽  
Li Jing Lin ◽  
Ji Hua Li ◽  
Xu Ran ◽  
Yong Fu Tang
Keyword(s):  
Response Surface Methodology ◽  
Regression Model ◽  
Response Surface ◽  
Maximum Yield ◽  
Methanol Concentration ◽  
Ultrasonic Extraction ◽  
Extraction Time ◽  
Extraction Temperature ◽  
Quadratic Regression ◽  
Box Behnken Design

Optimization conditions for ultrasonic extraction of phenolics from litchi seed were studied using response surface methodology. A Box–Behnken design (BBD) was applied to determine the effects of extraction temperature, methanol concentration and extraction time on yield of phenolics. Then a quadratic regression model was developed and found to be statistically significant by examining its adequacy. According to the model, the maximum yield of phenolics was obtained at the theoretical extraction conditions described as follows: extraction temperature 90°C, methanol concentration 59% and extraction time 70 min. Under this condition, the experimental value was 5.48 ± 0.03% (n = 3) with gallic acid as the equivalent, which agreed with the predicted value (5.52%) closely.

Optimization of Antioxidant Extraction from Freeze-dried Pulp, Peel, and Seed of Burmese grape (Baccaurea ramiflora Lour.) by Response Surface Methodology

2021 ◽  
Author(s):  
Mohammad Afzal Hossain ◽  
Md. Sakib Hossain
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Incubation Time ◽  
Maximum Yield ◽  
Extraction Procedure ◽  
Radical Scavenging ◽  
Total Phenolic ◽  
Solvent Concentration ◽  
Antioxidant Power ◽  
Freeze Dried

Abstract This study aimed to attain the optimum condition necessary for extracting the maximum yield of antioxidants from the freeze-dried pulp, peel, and seed of Burmese grape using response surface methodology (RSM). Solvent (ethanol) concentration (%), temperature (°C), and time (min) were taken as independent variables by factorial screening for the extraction procedure. After extraction, the antioxidant activity of all samples was determined employing 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity, total phenolic compounds (TPC), and ferric reducing antioxidant power (FRAP) assay. The experiment's optimum conditions were 80% solvent concentration, 69.01°C temperature, and 30 min for pulp. The optimum extraction conditions were found at 80°C for 29.39 min incubation time using 52.12% concentrated solvent for seed. For peel, the solvent concentration of 41.62% was found optimum when the temperature of 50°C and 30 min incubation time were used. The actual values of TPC, FRAP, and DPPH for freeze-dried pulp, peel and seed extracts were close to the predicted values, which confirms the models’ validity. The Analysis of Variance (ANOVA) showed that the models were significant for TPC, DPPH, and FRAP values of peel, pulp, and seed at different levels (p < 0.001 to p < 0.05). The composite desirability of pulp, seed, and peel were 0.94, 0.98, and 0.85, respectively, which suggest that the developed model could be effectively used for antioxidants’ extraction from freeze-dried pulp, peel, and seed of Burmese grape.

Statistical optimization of PolyHydroxy Butyrate (PHB) production by novel Acinetobacter nosocomialis RR20 strain using Response Surface Methodology

2020 ◽  
Vol 14 (1) ◽  
pp. 62-69
Author(s):  
Ranganadha Reddy ◽  
Vidya Prabhakar ◽  
Venkateswarulu Venkateswarulu TC ◽  
Krupanidhi Krupanidhi S ◽  
Md. Nazneen Bobby ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Optimization ◽  
Phb Production ◽  
Polyhydroxy Butyrate

Optimization of pH, temperature and CaCl2 concentrations for Ricotta cheese production from Buffalo cheese whey using Response Surface Methodology

2017 ◽  
Vol 84 (1) ◽  
pp. 109-116 ◽  
Author(s):  
Abdul Ahid Rashid ◽  
Nuzhat Huma ◽  
Tahir Zahoor ◽  
Muhammad Asgher
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cheese Whey ◽  
Research Work ◽  
Maximum Yield ◽  
Skim Milk ◽  
Processing Conditions ◽  
Total Solids ◽  
Two Phases ◽  
Cheese Production

The recovery of milk constituents from cheese whey is affected by various processing conditions followed during production of Ricotta cheese. The objective of the present investigation was to optimize the temperature (60–90 °C), pH (3–7) and CaCl2 concentration (2·0–6·0 mm) for maximum yield/recovery of milk constituents. The research work was carried out in two phases. In 1st phase, the influence of these processing conditions was evaluated through 20 experiments formulated by central composite design (CCD) keeping the yield as response factor. The results obtained from these experiments were used to optimize processing conditions for maximum yield using response surface methodology (RSM). The three best combinations of processing conditions (90 °C, pH 7, CaCl2 6 mm), (100 °C, pH 5, CaCl2 4 mm) and (75 °C, pH 8·4, CaCl2 4 mm) were exploited in the next phase for Ricotta cheese production from a mixture of Buffalo cheese whey and skim milk (9 : 1) to determine the influence of optimized conditions on the cheese composition. Ricotta cheeses were analyzed for various physicochemical (moisture, fat, protein, lactose, total solids, pH and acidity indicated) parameters during storage of 60 d at 4 ± 2 °C after every 15 d interval. Ricotta cheese prepared at 90 °C, pH 7 and CaCl2 6 mm exhibited the highest cheese yield, proteins and total solids, while high fat content was recorded for cheese processed at 100 °C, pH 5 and 4 mm CaCl2 concentration. A significant storage-related increase in acidity and NPN was recorded for all cheese samples.

scholarly journals Optimization of Pectate Lyase Production from Paenibacillus polymyxa N10 using Response Surface Methodology

2010 ◽  
Vol 3 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Molnapat Songpim ◽  
Pilanee Vaithanomsat ◽  
Sawitri Chuntranuluck
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Polynomial Regression ◽  
Pectate Lyase ◽  
Paenibacillus Polymyxa ◽  
Aeration Rate ◽  
Agitation Rate ◽  
Stirred Tank Bioreactor ◽  
Lyase Activity ◽  
Negative Effect

The parameters affecting the production of pectate lyase from P. polymyxa N10 were studied using the response surface methodology agitation rate (X1, 100-300 rpm), temperature (X2, 25-45 °C) and pH (X3, 5.5-9.5). The most significant factors influencing enzyme production were temperature and pH. The second order polynomial regression model obtained was fitted and found adequate, with an R2 of 0.9600 (p < 0.001). A maximum pectate lyase activity of 84.5 U/ml was attained in 72 h of cultivation at agitation rate 200 rpm, temperature 35 °C and pH 8. Optimizations of agitation rate and aeration on pectate lyase production were also carried out in a 5-l stirred-tank bioreactor. The aeration rate was varied in the range of 0.5-2 vvm at agitation rate of 200 rpm (temperature 35°C and initial pH 8). At agitation rate of 200 rpm, the shear force was high and then decreased the pectate lyase activity due to its negative effect on the enzyme structure. A maximum pectate lyase activity of 110.42 U/ml in the bioreactor was close to that obtained from the shake flask fermentation study.

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