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
Chemosensors ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 231
Author(s):  
Joana Madureira ◽  
Bruno Melgar ◽  
Celestino Santos-Buelga ◽  
Fernanda M. A. Margaça ◽  
Isabel C. F. R. Ferreira ◽  
...  

Olive pomace, an environmentally detrimental residue generated during olive oil extraction, contains bioactive compounds in demand by the food industry. To valorize this waste product a suitable yield for the extraction process is required. Heat-assisted extraction of bioactive compounds from olive pomace was optimized by a circumscribed central composite design and response surface methodology. Our previous studies indicated that irradiation could improve 2.4-fold the extractability of the main phenolic compounds from olive pomace. The effect of extraction time, temperature and solvent concentration on the yield of polyphenols from irradiated olive pomace at 5 kGy was tested. Hydroxytyrosol-1-β-glucoside, hydroxytyrosol, tyrosol and caffeic acid were quantified by High Performance Liquid Chromatography to calculate the total polyphenol content. The optimal general conditions by RSM modeling were extraction time of 120 min, temperature of 85 °C, and 76% of ethanol in water. Using these selected conditions, 19.04 ± 1.50 mg/g dry weight, 148.88 ± 8.73 mg/g extract of total polyphenols were obtained, representing a yield of 13.7%, which was consistent with the value predicted by the model. This work demonstrated the potential of residues from the olive oil industry as a suitable alternative to obtain compounds that could be used as ingredients for the food industry.


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

2020 ◽  
Vol 14 (4) ◽  
pp. 572-582
Author(s):  
Soumaya Hachani ◽  
◽  
Sarah Boukhalkhal ◽  
Ziyad Ben Ahmed ◽  
Mohamed Harrat ◽  
...  

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.


2019 ◽  
Vol 13 (2) ◽  
pp. 1120-1129 ◽  
Author(s):  
Maira Casagrande ◽  
Juliano Zanela ◽  
Daiane Pereira ◽  
Vanderlei Aparecido de Lima ◽  
Tatiane Luiza Cadorin Oldoni ◽  
...  

2011 ◽  
Vol 183-185 ◽  
pp. 1874-1878 ◽  
Author(s):  
Ji Chang Wang ◽  
Zhen Yu Wang ◽  
Zi Luan Fan ◽  
Li Li Zuo ◽  
Shuang Qi Tian ◽  
...  

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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