Optimization of enzyme‐assisted extraction of bioactive‐rich juice from Chaenomeles sinensis (Thouin) Koehne by response surface methodology

2020 ◽  
Vol 44 (9) ◽  
Author(s):  
Shenglong Jiao ◽  
You Li ◽  
Zhaosheng Wang ◽  
Dongxiao Sun‐Waterhouse ◽  
Geoffrey I. N. Waterhouse ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Chaenomeles Sinensis ◽  
Assisted Extraction ◽  
Enzyme Assisted Extraction

scholarly journals Combined Surfactant and Enzyme-Assisted Extraction of Pectin from Hawthorn (Crataegus monogyna Jacq.) Fruits

2022 ◽  
Vol 51 (4) ◽  
pp. 733-742
Author(s):  
Anastasia Novikova ◽  
Liubov Skrypnik
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Polynomial Regression ◽  
Polynomial Equation ◽  
Second Order ◽  
Wild Fruits ◽  
Assisted Extraction ◽  
Order Polynomial ◽  
Extraction Parameters ◽  
Enzyme Assisted Extraction

Introduction. Commercial pectin is usually obtained from apples or citrus fruits. However, some wild fruits, such as hawthorn, are also rich in pectin with valuable nutritional and medical properties. The research objective was to study and improve the process of combined surfactant and enzyme-assisted extraction of pectin from hawthorn fruits. Study objects and methods. The study involved a 1% solution of Polysorbate-20 surfactant and a mix of two enzymes, namely cellulase and xylanase, in a ratio of 4:1. The response surface methodology with the Box-Behnken experimental design improved the extraction parameters. The experiment featured three independent variables – temperature, time, and solvent-to-material ratio. They varied at three levels: 20, 40, and 60°C; 120, 180, and 240 min; 15, 30, and 45 mL per g. Their effect on the parameters on the pectin yield was assessed using a quadratic mathematical model based on a second order polynomial equation. Results and discussion. The response surface methodology made it possible to derive a second order polynomial regression equation that illustrated the effect of extraction parameters on the yield of polyphenols. The regression coefficient (R2 = 98.14%) and the lack-of-fit test (P > 0.05) showed a good accuracy of the model. The optimal extraction conditions were found as follows: temperature = 41°C, time = 160 min, solvent-to-material ratio = 32 mL per 1 g. Under the optimal conditions, the predicted pectin yield was 14.9%, while the experimental yield was 15.2 ± 0.4%. The content of galacturonic acid in the obtained pectin was 58.5%, while the degree of esterification was 51.5%. The hawthorn pectin demonstrated a good complex-building ability in relation to ions of copper (564 mg Cu2+/g), lead (254 mg Pb2+/g), and cobalt (120 mg Co2+/g). Conclusion. Combined surfactant and enzyme-assisted extraction made improved the extraction of pectin from hawthorn fruits. The hawthorn pectin can be used to develop new functional products.

scholarly journals Optimasi Selulase pada Enzyme Assisted Extraction Lemak dari Caulerpa Lentillifera Menggunakan Response Surface Methodology

2021 ◽  
Vol 13 (1) ◽  
pp. 19-37
Author(s):  
Ishmah Hanifah
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Assisted Extraction ◽  
Caulerpa Lentillifera ◽  
Rsm Model ◽  
Central Composite ◽  
Enzyme Assisted Extraction

Penelitian dirancang untuk mengetahui kondisi optimum proses enzyme assisted extraction lemak rumput laut hijau segar Caulerpa lentillifera dengan menggunakan enzim selulase. Proses optimasi dilakukan menggunakan Response Surface Methodology (RSM) model Central Composite Design dengan 15 perlakuan. Perlakuan yang didapatkan untuk mengetahui pengaruh variabel bebas diantaranya konsentrasi enzim, suhu hidrolisis, dan waktu hidrolisis terhadap respon yaitu jumlah ekstrak lemak dan aktivitas antioksidan. Dari hasil penelitian didapatkan model 2FI dan Linier berturut-turut untuk respon jumlah lemak dan aktivitas antioksidan. Kondisi optimum yang diperoleh yaitu konsentrasi enzim sebesar 2%, suhu hidrolisis sebesar 30 °C, dan waktu hidrolisis selama 1 jam. Kondisi optimum tersebut kemudian dapat diverifikasi dengan melakukan perlakuan terpilih sebanyak 2 kali ulangan atau lebih hingga mendekati hasil prediksi. Asam lemak yang diperoleh setelah metilasi dan identifikasi dengan GC-MS yaitu asam palmitat dan asam laurat. 

Optimization of Enzyme-Assisted Extraction of Carotenoids Antioxidants from Cordyceps militaris Using Response Surface Methodology

2017 ◽  
Vol 13 (5) ◽  
Author(s):  
Bai-Juan Wang ◽  
Qing-Song Yang ◽  
Ting Chen ◽  
Xiang-Dong Qin ◽  
Jun-Rong Ma ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Radical Scavenging Activity ◽  
Radical Scavenging ◽  
Cordyceps Militaris ◽  
Extraction Temperature ◽  
Scavenging Activity ◽  
Assisted Extraction ◽  
Development And Utilization ◽  
Enzyme Assisted Extraction

Abstract Response surface methodology (RSM) with a Box–Behnken design (BBD) was used to optimize the extraction conditions of carotenoid antioxidants from Cordyceps militaris. An enzyme-assisted extraction (EAE) method was developed and optimized to enhance 2,2-diphenyl-1-picrylhydrazil (DPPH) radical-scavenging activity of carotenoid antioxidants from C. militaris. The optimum conditions were as follows: a pH of 4.1, an extraction time of 40.4 min, an extraction temperature of 48.7 °C and 0.43 % enzyme (cellulose: pectinase, 1:1, w/w) concentration. Under these conditions, the DDPH radical-scavenging activity of C. militaris extracts was 81.62±2.26 %, indicating that the BBD is an efficient approach to develop mathematical models for predictingcarotenoids antioxidant extraction from C. militaris. The successful extraction of carotenoid antioxidants from C. militaris provides a basis for the development and utilization of C. militaris resources.

scholarly journals Optimization of Enzyme Assisted Extraction of Chondroitin Sulfate from Bohadschia argus by Response Surface Methodology

2021 ◽  
Vol 302 ◽  
pp. 02012
Author(s):  
Thanagorn Ruensodsai ◽  
Elizabeth Jayex Panakkal ◽  
Prawpan Teerapornnarong ◽  
Wawat Rodiahwati ◽  
Malinee Sriariyanun ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Chondroitin Sulfate ◽  
Response Surface ◽  
Enzyme Concentration ◽  
Raw Material ◽  
Extraction Temperature ◽  
Natural Concentration ◽  
Assisted Extraction ◽  
High Benefit ◽  
Enzyme Assisted Extraction

Chondroitin sulfate is currently one of the bioactive compounds obtained from different natural materials with high benefit in human medical treatment and pharmaceutical. However, the natural concentration of chondroitin sulfate in high cost raw material is low and this situation makes the commercialization become difficult. This study focused on production of chondroitin sulfate isolated from Bohadschia argus using enzyme-assisted extraction methodology. Optimization experiments were conducted based on Response Surface Methodology (RSM) using Box–Behnken design (BBD). Three important extraction parameters, including enzyme concentration (X1: 0.05-0.5 %), Time (X2: 0.25–3 h), and temperature (X3: 55–65 °C) were varied to obtain maximum chondroitin sulfate yields. The RSM optimized model obtained from statistical analysis presented the high correlation coefficiency (R2) at 0.7508, advocating the significance of the model. The optimum extraction conditions were selected as enzyme concentration of 0.48% with extraction time of 1.01 h. at an extraction temperature of 56.53°C. Under these conditions, the experimental yield of chondroitin sulfate was 415.59 mg/100g dry, which is in good agreement with the value predicted by the model.

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