Selective extraction of polar lipids of mango kernel using Supercritical Carbon dioxide (SC–CO2) extraction: Process optimization of extract yield/phosphorous content and economic evaluation

Chemosphere ◽  
2020 ◽  
Vol 260 ◽  
pp. 127639 ◽  
Author(s):  
Aparna Kayathi ◽  
Prodosh Prasad Chakrabarti ◽  
Lucas Bonfim-Rocha ◽  
Lucio Cardozo-Filho ◽  
Veeriah Jegatheesan
2018 ◽  
Vol 69 (3) ◽  
pp. 259 ◽  
Author(s):  
S. Satyannarayana ◽  
B. Anjaneyulu ◽  
T. S.V.R. Neeharika ◽  
K. N. Prasanna Rani ◽  
P. P. Chakrabarti

The supercritical carbon dioxide (SC-CO2) extraction technique has emerged as one of the best possible alternatives to organic solvent (hexane) extraction. However, very limited information is available on process optimization for this extraction technique and the lack of available engineering data is causing the slow growth of this technique. In the present investigation, SC-CO2 extraction was carried out to extract the oil from wheat germ under various operating conditions and the oil samples were characterized for properties such as phosphorous and tocol contents (vitamin E). A three-level Box Behnken design from response surface methodology was applied to optimize the SC-CO2 extraction parameters such as pressure, temperature and CO2 flow rate with an objective to obtain high oil yield, rich tocol contents and low phosphorous content. The process parameters were maintained between 30 to 50 MPa, 40 to 60 °C and a flow rate of 10 to 30 g·min-1 in a Box Behnken design matrix. Three different second order polynomial models were obtained for oil yield, phosphorous content and tocol contents with high R2 values. The optimum conditions were found to be 50 M Pa, 60 °C and 30 g·min-1 where the predicted oil yield, phosphorous content and tocol contents were found to be 8.87%, 31.86 mg·Kg-1 and 2059.92 mg·Kg-1 respectively. Under the optimum conditions, the experimental oil yield, phosphorous content and tocol contents obtained were found to be very close to the values predicted by the model.


2008 ◽  
Vol 47 (2) ◽  
pp. 182-187 ◽  
Author(s):  
Alexandre Teixeira de Souza ◽  
Toni Luis Benazzi ◽  
Marcelo Boer Grings ◽  
Vladimir Cabral ◽  
Edson Antônio da Silva ◽  
...  

2019 ◽  
Vol 102 (2) ◽  
pp. 451-456 ◽  
Author(s):  
Weifang Wang ◽  
Sai Han ◽  
Xianjun Zha ◽  
Jiangrui Cheng ◽  
Junying Song ◽  
...  

Abstract Background: The green tea scraps are the waste materials during the process of green tea production, and it is significant to extractvaluable tea polyphenols (TP) for reuse. Objective: The objective of this study was to extract valuable TP from green tea scraps, and the extraction conditions were optimized to obtain maximum yield of TP. Methods: The TPwere extracted by supercritical carbon dioxide (SC-CO2) with 65% (v/v) aqueous ethanol solution as cosolvent. The content of TP was determinedwith the Folin-Ciocalteu method. The key factors ofthe extraction process, including temperature (313.15–323.15 K), pressure (20–30 Mpa), and amount of cosolvent (50–150 mL) were optimized by response surface methodology (RSM). Results: These key factors showed the extremely complex effects on the extraction yield of TP. A second-order polynomial mathematical modelwasdeveloped for the response with high R-squared value (R2 = 0.9946) and used to predict the optimal conditions (i.e., temperature of 322.15 K, pressure of 23.60MPa, and amount of cosolvent of 150 mL). The verification experiments showed that the maximum yield ofTP was 23.07 ± 0.82% under the optimal conditions, which was in good agreement with the predicted value. Conclusions: TP can be successfully extracted from green tea scraps by SC-CO2, and RSM could be used to optimize the extraction process. Highlights: SC-CO2 extraction of TP from green tea scraps was developed. The operating conditions, including pressure, temperature, and amount of cosolvent, were optimized. RSM could successfully predict the optimal operating conditions.


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