scholarly journals Optimization of ultrasound-assisted extraction of polyphenolic compounds from coriander seeds using response surface methodology

2016 ◽  
pp. 249-263 ◽  
Author(s):  
Zoran Zekovic ◽  
Sasa Djurovic ◽  
Branimir Pavlic
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Three Dimensional ◽  
Extraction Process ◽  
Biologically Active ◽  
Ultrasonic Power ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Order Polynomial ◽  
Predicted Values

Coriandrum sativum L. (coriander) seeds (CS) were used for preparation of extracts with high content of biologically active compounds. In order to optimize ultrasoundassisted extraction process, three levels and three variables of Box-Behnken experimental design (BBD) in combination with response surface methodology (RSM) were applied, yielding maximized total phenolics (TP) and flavonoids (TF) content and antioxidant activity (IC50 and EC50 values). Independent variables were temperature (40-80oC), extraction time (40-80 min) and ultrasonic power (96-216 W). Experimental results were fitted to a second-order polynomial model with multiple regression, while the analysis of variance (ANOVA) was employed to assess the model fitness and determine optimal conditions for TP (79.60oC, 49.20 min, 96.69 W), TF (79.40oC, 43.60 min, 216.00 W), IC50 (80.00oC, 60.40 min, 216.00 W) and EC50 (78.40oC, 68.60 min, 214.80 W). On the basis of the obtained mathematical models, three-dimensional surface plots were generated. The predicted values for TP, TF, IC50 and EC50 were: 382.68 mg GAE/100 g CS, 216 mg CE/100 g CS, 0.03764 mg/mL and 0.1425 mg/mL, respectively.

scholarly journals Ultrasound-Assisted Extraction of Total Flavonoids from Corn Silk and Their Antioxidant Activity

2016 ◽  
Vol 2016 ◽  
pp. 1-5 ◽  
Author(s):  
Ling-Li Zheng ◽  
Guan Wen ◽  
Min-Yong Yuan ◽  
Feng Gao
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Antioxidant Activities ◽  
Total Flavonoids ◽  
Ultrasonic Power ◽  
Ultrasound Assisted Extraction ◽  
Antioxidant Power ◽  
Corn Silk ◽  
Assisted Extraction ◽  
Ultrasound Assisted

Object. Ultrasound-assisted extraction of total flavonoids from corn silk and their antioxidant activities were studied.Methods. Response surface methodology was adopted to optimize the extraction conditions and antioxidant activities of the extracted total flavonoids were detected through ferric reducing antioxidant power (FRAP) assay.Results. Through a three-level, three-variable Box-Behnken design of response surface methodology (RSM) adopting yield as response, the optimal conditions were determined as follows: ultrasonic power 500 W, extraction time 20 min, material solvent ratio 1 : 20, and ethanol concentration 30%. Under the optimum conditions, the extraction yield of total flavonoids was 1.13%. FRAP value of total flavonoids extracted from corn silk was 467.59 μmol/L.Conclusion. The total flavonoids of corn silk could be developed as food natural antioxidant reagents.

A ULTRASOUND-ASSISTED EXTRACTION (UAE) OF PHYTOCHEMICALS WITH RESPONSE SURFACE METHODOLOGY(RSM) IN Curcuma xanthorrhiza

2020 ◽  
Vol 2 (2) ◽  
pp. 139-146
Author(s):  
Najiba Azemi ◽  
Norazah Basar ◽  
Susilawati Toemen
Keyword(s):  
Response Surface Methodology ◽  
Optimum Condition ◽  
Response Surface ◽  
Extraction Process ◽  
Extraction Time ◽  
Array Detector ◽  
Ultrasound Assisted Extraction ◽  
Solid Ratio ◽  
Assisted Extraction ◽  
Ultrasound Assisted

The Curcuma genus belongs to the Zingiberaceae family is commonly known for its usage as spice and medicine.it is widely used in pharmaceutical, food supplement, cosmetic industries lead to economic benefits. Recently, noticing to an eco-friendly extraction approach which provides the extraction efficiency is considered that in the extraction process, exploring the optimum condition of extraction parameters. This study is performed to improve the bioactive compounds extraction from C. xanthorrhiza by ultrasound-assisted extraction (UAE) through Response Surface Methodology (RSM). Three independent variables: extraction time (5-20 min), temperature (30-50 ° C) and liquid-solid ratio (6-10 mL / g) are applied using Box-Behnken (BBD) design. Quantification of curcumin and xanthorrhizol are carried out using reversed-phase high-performance liquid chromatography (RP HPLC) equiped by a photodiode array detector. Extraction time 20 minutes, temperature of 50°C, and LS ratio 8 mL/g are found as the optimum condition of extraction yield and quantification of xanthorrhizol. Curcumin 's optimum state, however, is observed at extraction time 12.50 minutes, temperature 30 ° C, and liquid-solid ratio of 10 mL / g. This study suggests that there are favorable potential using method of ultrasound-assisted extraction under specific parameters in the extraction process which is advantageous for advanced research.  

scholarly journals Optimization of Ultrasound-Assisted Extraction of Flavonoids from Celastrus hindsii Leaves Using Response Surface Methodology and Evaluation of Their Antioxidant and Antitumor Activities

2020 ◽  
Vol 2020 ◽  
pp. 1-9 ◽  
Author(s):  
Dinh-Chuong Pham ◽  
Hoang-Chinh Nguyen ◽  
Thanh-Hang Le Nguyen ◽  
Hoang-Linh Ho ◽  
Thien-Kim Trinh ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Biological Activities ◽  
Radical Scavenging ◽  
Ultrasonic Power ◽  
Extraction Temperature ◽  
Anticancer Activities ◽  
Ultrasound Assisted Extraction ◽  
Assisted Extraction ◽  
Ultrasound Assisted

Celastrus hindsii is a potential source of flavonoids with biological activities. This study aimed to develop an ultrasound-assisted technique for extracting flavonoids from leaves of C. hindsii. Response surface methodology was employed to optimize the extraction conditions for maximizing the total flavonoid content (TFC). A maximum TFC of 23.6 mg QE/g was obtained under the extraction conditions of ultrasonic power of 130 W, extraction temperature of 40°C, extraction time of 29 min, and ethanol concentration of 65%. The flavonoid-rich extracts were then studied for their antioxidant and anticancer activities. The results showed that the C. hindsii leaf extract exhibited potent radical scavenging activities against DPPH (IC50 of 164.85 μg/mL) and ABTS (IC50 of 89.05 μg/mL). The extract also significantly inhibited the growth of 3 cancer cell lines MCF7, A549, and HeLa with the IC50 values of 88.1 μg/mL, 120.4 μg/mL, and 118.4 μg/mL, respectively. Notably, the extract had no cytotoxicity effect on HK2 normal kidney cell line. This study suggests that flavonoid-rich extract is a promising antioxidant and anticancer agent and that ultrasound-assisted extraction is an efficient method for extracting flavonoids from C. hindsii leaves.

Optimization of Manufacturing Process of Traditional Algerian Jben Cheese Using Response Surface Methodology (RSM)

2018 ◽  
Vol 8 (1) ◽  
pp. 31-42
Author(s):  
M. Amimour ◽  
T. Idoui ◽  
A. Cheriguene
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Manufacturing Process ◽  
Milk Powder ◽  
Statistical Design ◽  
Polynomial Equation ◽  
Enzymatic Extract ◽  
Traditional Cheese ◽  
Order Polynomial ◽  
Predicted Values

The Aim of this study was to develop an optimized method for manufacturing process of traditional Algerian Jben cheese, using response surface methodology (RSM). In order to develop the objective method of making this traditional cheese, several factors have been studied and a Plackett-Burman statistical design was applied. The effects of the four screened factors (enrichment with milk powder, 10 - 20 g/l; pH of milk, 5.75 - 6.75, enzymatic extract dose, 0.5 - 1.5 ml and coagulation temperature 40 - 60 °C) on the response were investigated, using a Box-Behnken statistical design. Multiple regression analysis was used so that experimental data fits to a second-order polynomial equation. This multiple analysis showed that the model explains about 90.73% of the variation. Based on statistical results, it can be noticed that enrichment with milk powder and pH of milk (Ë‚0.0001***) were highly significant factor influincing cheese yield. The optimal production parame-ters that maximized cheese product (20 g/l enrichment with milk powder, 5.75 pH of milk, 1.29 ml enzymatic extract dose and 60°C coagulation temperature) and the maximal predicted cheese yield (52.68 % ) were found out through response surface methodology. Under these conditions, a verification experiment was carried out and cheese yield was found to be 49.46 %. The overall percentage of agreement for the experimental results (more than 93 % validity) with the predicted values indicates the validation of the statistical model and the success of the optimization process.

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