Optimization of Supercritical Fluid Extraction of Phenolic Compounds from Peach Blossom (Amygdalus Persica) by Response Surface Methodology

2018 ◽  
Vol 17 (2) ◽  
pp. 180-187
Author(s):  
Yang Wen-Bo ◽  
Liu Jie-Chao ◽  
Liu Hui ◽  
Zhang Chun-Ling ◽  
Lv Zhen-Zhen ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Antioxidant Activities ◽  
Total Phenolic ◽  
Fluid Extraction ◽  
Phenolic Contents ◽  
C 30

Supercritical fluid extraction (SFE) was used for the extraction of phenolic compounds from peach blossom (Amygdalus persica). The optimum conditions of SFE were optimized by response surface methodology and confirmed at 64°C, 30 MPa, 143 min, and 35 mL ethanol (100%) as modifier for maximum total phenolic contents (54.10 mg GAE g−1 DW), which was higher than the yield achieved by ultrasonic-assisted extraction (44.04 mg GAE g−1 DW). The antioxidant activities and tyrosinase inhibitory activities of extraction extracted by SFE were 79.55% and 14.42%. Furthermore, chlorogenic acid, quercetin-3-O-galactoside, kaempferol-3-O-galactoside, quercitrin-3-O-rhamnoside, and kaempferol 4′-glucoside were identified in this study.

Optimization of Supercritical Fluid Extraction for Mariposa Christia Vespertilionis Leaves Towards Yield by Using Response Surface Methodology

2020 ◽  
Vol 13 (2) ◽  
pp. 170-178
Author(s):  
Mohd Azahar Mohd Ariff ◽  
Nurul Nadiah Mohd Nazri ◽  
Noor Aina Abdul Razak ◽  
Mohamed Syazwan Osman ◽  
Jefri Jaapar
Keyword(s):  
Particle Size ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Yield Response ◽  
Percentage Error ◽  
Fluid Extraction ◽  
C 30 ◽  
Parameter Values

Background: Mariposa Christia Vespertilionis (L.) (MCV) Bakh. f. is a plant, commonly known as Mariposa or ‘butterfly wing’ due to the shape and color of its leaves which is similar to a butterfly. MCV has been known to be used as a treatment for many diseases such as tuberculosis, bronchitis, inflamed tonsils, colds, muscle weakness and poor blood circulation. Methods: Supercritical Fluid Extraction (SFE) is the latest equipment that can be used for the extraction of MCV leaves. SFE is the process of separating one component from another by using supercritical fluids as the extraction media. SFE is widely used in extraction due to its environmental friendly process compared to conventional extraction technique. Objective: The aim of this study was to obtain the most optimum conditions in terms of temperature, pressure and particle size in achieving the highest amount of yield in the MCV plant extract. Thus the manipulated parameters for this study were Temperature (T), Pressure (P) and Particle Size (S) where the ranges used were: temperature, T (°C): 30, 40, 50, 60, 70, pressure, P (bar): 150, 200, 250, 300, 350, and particle Size, S: 63 µm, 125 µm, 250 µm, 500 µm and 1 mm. Results: To obtain the optimum condition of yield, Response Surface Methodology (RSM) was used. For the RSM design of experiment, 20 samples were run throughout this experiment. Conclusion: The optimum parameter values generated from the RSM were 39°C for temperature, 202 bars for the pressure and 500 μm for the particle size with the yield of 7.9 %. Actual validation runs were carried out and the percentage error was 14 %.

Analysis of supercritical fluid extraction of lycopodine using response surface methodology and process mathematical modeling

2015 ◽  
Vol 100 ◽  
pp. 353-361 ◽  
Author(s):  
Graciane Fabiela da Silva ◽  
Paulo Henrique Konat Gandolfi ◽  
Rafael Nolibos Almeida ◽  
Aline Machado Lucas ◽  
Eduardo Cassel ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Fluid Extraction

scholarly journals Determination of optimal parameters of basil supercritical fluid extraction by response surface methodology

2016 ◽  
pp. 193-203
Author(s):  
Snezana Filip ◽  
Senka Vidovic ◽  
Branimir Pavlic ◽  
Zoran Zekovic
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Interactive Effect ◽  
Extraction Process ◽  
Extraction Yield ◽  
Fluid Extraction ◽  
Experimental Values

The supercritical fluid extraction of aroma compounds from basil (Ocimum basilicum L.) was studied. Response surface methodology was used to optimize the parameters of the process. Full factorial design was applied to evaluate the effects of two independent variables (pressure and temperature) on the extraction yield and linalool yield. From the response surface plots, pressure and temperature exhibited independent and interactive effect on the extraction yield. The optimal conditions to obtain the highest extraction yield (1.91%) of O. basilicum were the pressure of 29.7 MPa and temperature of 59.2oC, whereas the highest yield of linalool (1.998 g?kg-1) was obtained at the pressure of 20 MPa and temperature of 40oC. The experimental values agreed with the predicted ones, indicating suitability of the response surface methodology for optimizing the extraction process.

scholarly journals Rana chensinensis Ovum Oil Based on CO2 Supercritical Fluid Extraction: Response Surface Methodology Optimization and Unsaturated Fatty Acid Ingredient Analysis

Molecules ◽  
2020 ◽  
Vol 25 (18) ◽  
pp. 4170
Author(s):  
Yuanshuai Gan ◽  
Dongliang Xu ◽  
Jianqiu Zhang ◽  
Zhongyao Wang ◽  
Shihan Wang ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Supercritical Fluid Extraction ◽  
Supercritical Fluid ◽  
Unsaturated Fatty Acids ◽  
Model Verification ◽  
Biologically Active ◽  
Surface Model ◽  
Fluid Extraction ◽  
Rana Chensinensis

Rana chensinensis ovum oil (RCOO) is an emerging source of unsaturated fatty acids (UFAs), but it is lacking in green and efficient extraction methods. In this work, using the response surface strategy, we developed a green and efficient CO2 supercritical fluid extraction (CO2-SFE) technology for RCOO. The response surface methodology (RSM), based on the Box–Behnken Design (BBD), was used to investigate the influence of four independent factors (pressure, flow, temperature, and time) on the yield of RCOO in the CO2-SFE process, and UPLC-ESI-Q-TOP-MS and HPLC were used to identify and analyze the principal UFA components of RCOO. According to the BBD response surface model, the optimal CO2-SFE condition of RCOO was pressure 29 MPa, flow 82 L/h, temperature 50 °C, and time 132 min, and the corresponding predicted optimal yield was 13.61%. The actual optimal yield obtained from the model verification was 13.29 ± 0.37%, and the average error with the predicted value was 0.38 ± 0.27%. The six principal UFAs identified in RCOO included eicosapentaenoic acid (EPA), α-linolenic acid (ALA), docosahexaenoic acid (DHA), arachidonic acid (ARA), linoleic acid (LA), and oleic acid (OA), which were important biologically active ingredients in RCOO. Pearson correlation analysis showed that the yield of these UFAs was closely related to the yield of RCOO (the correlation coefficients were greater than 0.9). Therefore, under optimal conditions, the yield of RCOO and principal UFAs always reached the optimal value at the same time. Based on the above results, this work realized the optimization of CO2-SFE green extraction process and the confirmation of principal bioactive ingredients of the extract, which laid a foundation for the green production of RCOO.

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