scholarly journals Optimization of Reflux Conditions for Total Flavonoid and Total Phenolic Extraction and Enhanced Antioxidant Capacity in Pandan (Pandanus amaryllifoliusRoxb.) Using Response Surface Methodology

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Ali Ghasemzadeh ◽  
Hawa Z. E. Jaafar

Response surface methodology was applied to optimization of the conditions for reflux extraction of Pandan (Pandanus amaryllifoliusRoxb.) in order to achieve a high content of total flavonoids (TF), total phenolics (TP), and high antioxidant capacity (AC) in the extracts. Central composite experimental design with three factors and three levels was employed to consider the effects of the operation parameters, including the methanol concentration (MC, 40%–80%), extraction temperature (ET, 40–70°C), and liquid-to-solid ratio (LS ratio, 20–40 mL/g) on the properties of the extracts. Response surface plots showed that increasing these operation parameters induced the responses significantly. The TF content and AC could be maximized when the extraction conditions (MC, ET, and LS ratio) were 78.8%, 69.5°C, and 32.4 mL/g, respectively, whereas the TP content was optimal when these variables were 75.1%, 70°C, and 31.8 mL/g, respectively. Under these optimum conditions, the experimental TF and TP content and AC were 1.78, 6.601 mg/g DW, and 87.38%, respectively. The optimized model was validated by a comparison of the predicted and experimental values. The experimental values were found to be in agreement with the predicted values, indicating the suitability of the model for optimizing the conditions for the reflux extraction of Pandan.

CORD ◽  
2018 ◽  
Vol 34 (2) ◽  
pp. 10
Author(s):  
K.D.P.P. Gunathilake

Response surface methodology in conjunction with central composite design (CCD) was performed in the present study to optimize the extraction parameters for assessing maximum yield of total phenolic content and antioxidant capacity from coconut pairings. Solvent concentration (30-100%), extraction temperature (30-60°C) and extraction time (30-90 min) were used as the independent variables.  The optimum conditions for extraction of total phenolics and antioxidant capacity from coconut pairings were found to be at ethanol concentration, 47.75% (v/v); extraction temperature, 49.84°C; and extraction time, 68.66 minutes. Under these optimal conditions, the model predicted a maximum response of 18.97 mg GAE/ g DW total phenolics and 38.09 mg AAE/g DW total antioxidant capacity of coconut pairing extracts  and they were in close agreement with predicted values, thus indicating the suitability of the models developed and the success of RSM in optimizing the extraction conditions.


2021 ◽  
Vol 02 ◽  
Author(s):  
Kien Q. Nguyen ◽  
Christopher J. Scarlett ◽  
Quan V. Vuong

Background: Scaevola spinescens is an endemic Australian shrub that is linked to various health benefits and traditionally used as medicine by decoction. To date, the extraction efficiency of the plant under various conditions has not been well understood. This study aimed to optimize aqueous extraction conditions of S. spinescens, for maximum extraction of total phenolic compounds, flavonoids and saponins, as well as antioxidant activities. Methods: Response surface methodology was used to determine the influence of four independent parameters including temperature, time, sample-to-water ratio and pH. The optimal ranges of temperature (60-90 °C), time (30-60 min), sample-to-water ratio (2-6 g/100 mL) and pH (3-7) were determined in preliminary experiments. Following assessment and optimization of the response surface methodology models, validation experiments were conducted to compare predicted and experimental values. Results : The RSM models showed that extraction temperature, time and sample-to-water ratio significantly affected total phenolic compound yields. Extraction temperature and time significantly affected flavonoid yields, while only sample-to-water ratio significantly affected saponin yields. Optimal conditions for extraction were determined to be: 90 ºC, 53 min, 2:100 (g/mL), and pH of 4.5, if saponins are the target compounds for extraction. For phenolics, flavonoids and antioxidant capacity, a higher sample-to-water ratio of 6:100 (g/mL) is recommended. Conclusion: Response surface methodology proved to be a reliable method for predicting yields of bioactive compounds and antioxidant capacity in S. spinescens. These findings can be used for efficient decoction by practitioners and end users, or by researchers for further isolation and purification of bioactive compounds from S. spinescens extracts.


Author(s):  
Sarver Ahmad Rather ◽  
Peerzada Rashid Hussain ◽  
Prashant Suradkar ◽  
Nazir Ahmad Mir

The effect of solvent concentration (20–80%), solvent to sample ratio(10:1–30:1), extraction time (10–30 min) and extraction temperature (20-100oC) on total phenolic content (TPC) in quince fruit was investigated for the first time using response surface methodology (RSM). Experiments were designed according to Central Composite Rotatable Design (CCRD) with these four factors, including central and axial points. A second-order polynomial Model satisfactorily fitted the experimental data with the R2 values of 0.89 for the response implying a good agreement between the predicted and experimental values. The optimal conditions of optimized response were solvent conc. of 60%, solvent/sample ratio of 16:1, extraction time of 20 min. and temperature of 65oC. Based on these optimised conditions, our model predicted TPC of 291.8 mg GAE/100g which was in the close agreement with experimental value of 285.2 mg GAE/100g for TPC with %CV of 2.2%.


2019 ◽  
pp. 49-59
Author(s):  
Nu Linh Giang Ton ◽  
Thi Hoai Nguyen ◽  
Quoc Hung Vo

Avocado peel has been considered as a potential source of natural antioxidants in which phenolics are among the most important compounds. Therefore, this study aims to optimize the extraction process of phenolics using response surface methodology and evaluate the corresponding antioxidant activity. From the quadratic model, the optimal condition was determined including the ethanol concentration 54.55% (v/v), the solvent/solute ratio 71.82/1 (mL/g), temperature 53.03 oC and extraction time 99.09 min. The total phenolic content and the total antioxidant capacity at this condition with minor modifications were 26,74 ± 0,04 (mg GAE/g DW) and 188.06 ± 1.41 (mg AAE/g DW), respectively. The significant correlation between total phenolic content and total antioxidant capacity was also confirmed. Key words: response surface methodology, central composite rotatable design, total phenolic content, total antioxidant capacity, avocado peel


2015 ◽  
Vol 74 (7) ◽  
Author(s):  
Liza Md Salleh ◽  
Stashia ELeaness Rosland Abel ◽  
Gholamreza Zahedi ◽  
Russly Abd Rahman ◽  
Hasmida Mohd Nasir ◽  
...  

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.


Author(s):  
Khurul Ain Mohamed Mahzir ◽  
Siti Salwa Abdul Gani ◽  
Nor Fadzillah Mokhtar

In this study, the optimal condition for the extraction of antioxidants from the fruit Buah Mahkota Dewa (Phaleria macrocarpa) was determined by using Response Surface Methodology (RSM). The optimization was applied using central composite design (CCD) to investigate the three independent variables, namely extraction temperature (oC), extraction time (minutes) and extraction solvent to-feed ratio (%v/v) on the responses of free radical scavenging activity (DPPH), ferric ion reducing power assay (FRAP), total phenolic content (TPC) and total flavonoid content (TFC).The optimal conditions for the antioxidants extraction were found to be extraction temperature (64oC), extraction time (66 minutes) and solvent to-feed ratio (75 %v/v) with the highest percentage yield of DPPH, FRAP, TPC and TFC were 86.85%, 7.47%, 292.86 mg/g and 3.22 mg/g respectively. Moreover, the data were subjected to response surface methodology (RSM) and the results showed that the polynomial equations for all models were significant, did not show lack of fit, and presented adjusted determination coefficients (R2) above 99%, proving the yield of phenolic, flavonoid and antioxidants activities obtained experimentally were close to the predicted values and the suitability of the model employed in RSM to optimize the extraction conditions. Hence, in this study, the fruit from P.macrocarpa could be considered to have the strong antioxidant ability and can be used in various cosmeceutical or medicinal applications.


e-Polymers ◽  
2011 ◽  
Vol 11 (1) ◽  
Author(s):  
P. Agarwal ◽  
A. Mondal ◽  
P.K. Mishra ◽  
P. Srivastava

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.


2019 ◽  
Vol 2 (1) ◽  
pp. 332-342
Author(s):  
Ha Thi Ngoc Lai ◽  
Phuong Viet Nguyen ◽  
Hoai Thi Tran ◽  
Viet Ha Thi Dao ◽  
Ha Hai Hoang

Chlorogenic acid is a natural antioxidant that is widespread in the plant kingdom and can be found at a high content level in green coffee beans. This secondary metabolite in green coffee beans has potent biological properties including antioxidant, anti-inflammatory, anti-cancer, anti-obesity, anti-hypertension, and anticonvulsant. In this study, the extraction of chlorogenic acid from Vietnamese green coffee beans was optimized using the response surface methodology. A second-order polynomial model with three important variables (liquid-to-solid ratio, temperature, and extraction time) was used. A rotatable central composite design consisting of 21 experimental runs with three replicates at the center point was applied to describe the experimental data. The experimental results properly conformed to the constructed model (R2 = 0.8549). The optimized conditions were as follows: 40% ethanol (v/v), a liquid-to-solid ratio of 11.77, at 85oC for 64 min. Four extractions were performed in parallel using the optimal conditions to validate the model. The experimental values highly agreed with the predicted value (P <0.05).


Author(s):  
Israa Mahmud ◽  
Mohamed E. S. Mirghani ◽  
Faridah Yusof ◽  
Ma'an Al-khatib

Dietary polyphenols exist in two forms; extractable polyphenols (EPP) or compounds solubilised by aqueous/organic solvents, and non-extractable polyphenols (NEPP) or compounds remain in the corresponding residues after the extraction. At present, most researchers focus on EEP fractions, while NEPP is neglected. Thus, this study aimed to release NEPP from the remaining powder residue of Barhi date palm kernels (BDPK) with acid hydrolysis. The related extraction conditions were determined and optimised using response surface methodology (RSM) for maximisation of NEPP with highest cytotoxic and antioxidant activities. The face-centred central composite design (FCCCD) was used to establish treatments based on three independent variables, namely; extraction temperature, time, and solvent/sample ratio. Under the optimal conditions, the experimental values for DPPH radical-scavenging capacity of NEPP (IC50=57.52µg/mL), and cytotoxicity of NEPP against A549 and HT29 cells were IC50=17.4 µg/mL and 31.4µg/mL, respectively. The experimental values were in agreement with those predicted by RSM models, confirming the suitability of the model employed and the success of RSM for optimisation of the extraction conditions for NEPP from BDPK. These results indicate that NEPP from industrial date fruit waste could be a promising candidate as natural antioxidants with significant antiproliferation effect against A549 and HT29 cancer cells in-vitro.


2020 ◽  
Vol 19 (03) ◽  
pp. 65-74
Author(s):  
Tan D. Nguyen

Response surface methodology was applied to optimize the extraction of phenolic compounds from fresh Pouzolzia zeylanica plant using hot water as a solvent. A central composite design (CCD) in form (23+star) was used to investigate the effects of two independent variables, namely, extraction temperature (70 to 90oC) and extraction time (20 to 40 min). The dependent variables were the content of anthocyanin, flavonoid, polyphenol, tannin and total soluble solids of extracted solution. A second-order polynomial model was used for predicting the response. The results showed that the optimal extraction process was obtained at 84.4oC for 31.7 min. The experimental values agreed with predicted within a 95% confidence interval. Consequently, the contents of anthocyanin, flavonoid, polyphenol and tannin were 38.66 mgCE/100 g, 3.01 mgQE/g, 5.17 mgGAE/g, 4.07 mgTAE/g fresh weight, and total soluble solids content was 0.73%, respectively.


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