scholarly journals Optimization of ultrasound extraction of phenolic compounds from coconut (Cocos nucifera) shell powder by response surface methodology

2008 ◽  
Vol 15 (1) ◽  
pp. 95-100 ◽  
Author(s):  
Sueli Rodrigues ◽  
Gustavo A.S. Pinto ◽  
Fabiano A.N. Fernandes
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Cocos Nucifera ◽  
Ultrasound Extraction ◽  
Shell Powder

scholarly journals Exploiting Response Surface Methodology (RSM) as a Novel Approach for the Optimization of Phenolic and Antioxidant Activity of Date Palm Fruit

2020 ◽  
Vol 14 (4) ◽  
pp. 572-582
Author(s):  
Soumaya Hachani ◽  
◽  
Sarah Boukhalkhal ◽  
Ziyad Ben Ahmed ◽  
Mohamed Harrat ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Antioxidant Activities ◽  
Palm Fruit ◽  
Ultrasound Extraction ◽  
Solid Ratio ◽  
Methanolic Extracts ◽  
Novel Approach ◽  
Dpph Scavenging

The Box-Behnken design was used to investigate the effect of three independent variables – time, temperature and solvent-to-solid ratio on the responses of total phenolics, total flavonoids, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging activity and cupric ion reducing antioxidant capacity (CUPRAC) of date fruit methanolic extracts. Response surface analysis showed that the optimal ultrasound extraction parameters that maximized the responses were 30 min, 298 K and 74.4 ml/g. Under optimum conditions, UHPLC-DAD-MS/MS was used to tentatively characterize 11 phenolic compounds. The experimental values for the quantification of phenolic compounds and antioxidant activities are in accordance with the predicted values, indicating the suitability of the model and the success of response surface methodology in optimizing the ultrasound extraction conditions.

OPTIMIZATION OF EXTRACTION CONDITIONS FOR ANTIOXIDANT PHENOLIC COMPOUNDS FROM MALT ROOTLETS USING RESPONSE SURFACE METHODOLOGY

2009 ◽  
Vol 33 (2) ◽  
pp. 291-305 ◽  
Author(s):  
DE-JING MENG ◽  
JIAN LU ◽  
WEI FAN ◽  
JIAN-JUN DONG ◽  
JIANHUA ZHANG ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface

scholarly journals Optimization of the extraction of phenolic compounds from olive pomace using response surface methodology

Revista CERES ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 181-190
Author(s):  
Bruna Wendt Böhmer-Maas ◽  
Deborah Murowaniecki Otero ◽  
Rui Carlos Zambiazi ◽  
Bianca Camargo Aranha
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Olive Pomace

Optimization of the extraction of antioxidant phenolic compounds from grape pomace using response surface methodology

2019 ◽  
Vol 13 (2) ◽  
pp. 1120-1129 ◽  
Author(s):  
Maira Casagrande ◽  
Juliano Zanela ◽  
Daiane Pereira ◽  
Vanderlei Aparecido de Lima ◽  
Tatiane Luiza Cadorin Oldoni ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Grape Pomace

Optimization of Ultrasonic Extraction of Polyphenol from Pinus Koraiensis Bark Using Response Surface Methodology

2011 ◽  
Vol 183-185 ◽  
pp. 1874-1878 ◽  
Author(s):  
Ji Chang Wang ◽  
Zhen Yu Wang ◽  
Zi Luan Fan ◽  
Li Li Zuo ◽  
Shuang Qi Tian ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Phenolic Compounds ◽  
Response Surface ◽  
Ethanol Concentration ◽  
Processing Parameters ◽  
Ultrasonic Extraction ◽  
Raw Material ◽  
Extraction Time ◽  
Pinus Koraiensis ◽  
Ultrasonic Power

Ultrasonic technology was applied for phenolic compounds extraction from the Pinus koraiensis bark （PKB） and response surface methodology (RSM) was used to optimize the effects of processing parameters on phenolic compounds yields. When ultrasonic power 160W,three independent variables were ultrasonic extraction time (X1 20-40min), ratio of water to raw material (X2 1:20-1:40 g/mL)and ethanol concentration(X3 20％-60％), respectively.The optimal extraction conditions of phenolic compounds were determined as follows: Ultrasonic extraction time 30.61 min, ratio of water to raw material 30.79 mL/g and ethanol concentration 42.2%. Under these conditions, the experimental yield of phenolic compounds was 8.2409 ± 0.0648‰, well matched with the predicted models with the coefficients of determination (R2) of 0.9920, which was agreed closely with the predicted value (8.2963‰).

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