scholarly journals Novel Ergot Alkaloids Production from Penicillium citrinum Employing Response Surface Methodology Technique

Toxins ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 427
Author(s):  
Memuna Ghafoor Shahid ◽  
Muhammad Nadeem ◽  
Ahmed Gulzar ◽  
Muhammad Saleem ◽  
Hafeez ur Rehman ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Uv Light ◽  
Maximum Yield ◽  
Ergot Alkaloids ◽  
Strain Improvement ◽  
Penicillium Citrinum ◽  
Yield Enhancement ◽  
Surface Culture ◽  
Statistical Process

Ergot alkaloids are novel pharmaceutical and therapeutic agents synthesized in this study using fungal species Penicillium citrinum. To get the maximum yield of ergot alkaloids a statistical process of response surface methodology was employed using surface culture fermentation technique. Initially, the strain of Penicillium was improved using physical (ultraviolet (UV) and chemical (ethyl methane sulfonate (EMS) treatments to get the maximum yield of ergot alkaloids through surface culture fermentation technique. After improving the strain, survival rate of colonies of Penicillium citrinum treated with UV and EMS was observed. Only 2.04% living colonies were observed after 150 min of exposure of Penicillium citrinum in UV light and 3.2% living colonies were observed after 20 min of the exposure in EMS. The mutated strains of Penicillium citrinum were screened for their production of ergot alkaloids and after fermentation experiments, maximum yield was obtained from PCUV-4 and PCEMS-1 strains. After strain improvement, Plackett–Burman design (PBD) and Box–Behnken design (BBD) of RSM were employed and 10-fold yield enhancement (35.60 mg/100 mL) of ergot alkaloids was achieved. This enhancement in yield of ergot alkaloids proved the positive impacts of RSM and UV on the yield of ergot alkaloids. The study provides a cost effective, economical and sustainable process to produce medically important ergot alkaloids which can be used in various pharmaceutical formulations to treat human diseases.

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.

A predictive model for the synthesis of polylactide from lactic acid by response surface methodology

e-Polymers ◽  
2011 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Agarwal ◽  
A. Mondal ◽  
P.K. Mishra ◽  
P. Srivastava
Keyword(s):  
Response Surface Methodology ◽  
Statistical Analysis ◽  
Response Surface ◽  
Process Optimization ◽  
Model Equation ◽  
Statistical Significance ◽  
Polynomial Model ◽  
Statistical Process ◽  
Central Composite Experimental Design ◽  
Experimental Values

AbstractThe present work describes the statistical process optimization of a lowcost production process of PLA using organometallic (stannous octoate) compounds. The process optimization for both lactide and polylactide, was developed by factorial design and response surface methodology. The influence of different experimental parameters such as reaction temperature, time, concentration of catalyst and co-initiator concentration on the yield of lactide and polylactide has been evaluated. There are many studies reported on the synthesis of polylactide but no earlier study exists for the application of statistical analysis in determining the interactions among the process variables for lactide and polylactide production. Central composite experimental design with multiple linear regression has been used to estimate the coefficients of the polynomial model equation for the yield(s) of both lactide and polylactide. The statistical significance of polynomial model equation was validated by F test (ANOVA). Determination coefficient (R2) values found to be 0.913 and 0.958 for lactide and polylactide respectively, states that predicted values were in good agreement with the experimental values. Results of the statistical analysis showed that the model fits in all cases. Above synthesised polymer was characterized by FT-IR, 1H-NMR, DSC and GPC to confirm the polymer structure and properties.

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.

scholarly journals Optimizing the tray dryer temperature and time of white corn flour culture

Food Research ◽  
2021 ◽  
Vol 5 (5) ◽  
pp. 95-104
Author(s):  
D. Hunaefi ◽  
Rahmawati R. ◽  
D. Saputra ◽  
R.R. Maulani ◽  
T. Muhandri
Keyword(s):  
Response Surface Methodology ◽  
Aspergillus Niger ◽  
Water Content ◽  
Response Surface ◽  
Water Activity ◽  
Penicillium Citrinum ◽  
Drying Process ◽  
Corn Flour ◽  
Acremonium Strictum ◽  
Candida Famata

This research aimed to optimize the tray dryer temperature and time of white corn flour culture by Response Surface Methodology (RSM). There were two cultures used in this research, namely Amylolytic Culture (AC) and Complete Culture (CC). AC consisted of Penicillium citrinum, Aspergillus niger, Acremonium strictum, and Candida famata, while CC consisted of Penicillium chrysogenum, Penicillium citrinum, Aspergillus niger, Rhizopus stolonifer, Rhizopus oryzae, Fusarium oxysporum, Acremonium strictum, Candida famata, Kodamaea ohmeri and Candida krusei/incospicua. The independent variables in this study were drying temperature and time, where the quality indicators used were total viability of mold and yeast, water content, water activity, and pH. This research used a factor response surface methodology. Data were analyzed by ANOVA with an α level of 95%. The result of this research showed that the optimum drying process for AC starter was 40°C for 10 hrs, with characteristic response viability 8.8×107 CFU/g, water activity 0.43, water content 8.90%, and pH 4.05. CC starter showed an optimum drying process at 49°C for 4.5 hrs, with characteristic response viability 4.9×107 CFU/g, water activity 0.49, water content 7.02%, and pH 3.95. The optimum tray dryer temperatures and times were achieved for AC and CC starters.

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.

Bactericidal Effect of TiO2 on the Selected Vibrio Parahaemolyticus and Optimization Using Response Surface Methodology

2007 ◽  
Vol 7 (11) ◽  
pp. 3709-3712
Author(s):  
Tae-Young Kim ◽  
Kyung-Hee Park ◽  
Seon-Gyun Rho ◽  
Seung-Jai Kim ◽  
Sung-Young Cho
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Vibrio Parahaemolyticus ◽  
Pathogenic Bacteria ◽  
Uv Light ◽  
Bactericidal Effect ◽  
Illumination Time ◽  
Box Behnken Design ◽  
Uv Illumination ◽  
Typical Food

In this work, the bactericidal effect of TiO2 on selected typical food pathogenic bacteria, Vibrio parahaemolyticus was studied. V. parahaemolyticus is an important pathogen of humans and aquacultured animals. We established the response surface methodology (Box-Behnken Design) to investigate the effect of principal parameters on the cell sterilization such as TiO2 concentration, UV illumination time, temperature, and pH. The sterilization rate reached maximum value at the TiO2 concentration of 1.0 mg/ml. During irradiation under the time of 30 min with UV light with the 1g-TiO2/l, the sterilization rate was greater than 85%, and 99% or more cell lost their viability with 3 hours of irradiation. Sterilization rate of the cell increased with decrease in the pH and temperature.

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.

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