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Supercritical carbon dioxide extraction of highly unsaturated oil from Phaleria macrocarpa seed

Azmir, Jannatul and Sarker, Md Zaidul Islam and Mohammad Sharif Khan, and Uddin, Md. Salim and Akanda, Mad Jahurul Haque and Selamat, Jinap and Hajeb, Parvaneh and Awang, Mohamed (2014) Supercritical carbon dioxide extraction of highly unsaturated oil from Phaleria macrocarpa seed. Food Research International, 65 (pt.C). pp. 394-400. ISSN 0963-9969; ESSN: 1873-7145

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Official URL: http://www.sciencedirect.com/science/article/pii/S...

Abstract

Good quality oil with high unsaturated fatty acids was found in the seed of a medicinal plant Phaleria macrocarpa (Mahkota dewa). Different parts especially fruit flesh of this plant are being traditionally used as important folk medicine whereas seed of this plant is usually neglected. In this study, the oil was extracted from P. macrocarpa seed using supercritical carbon dioxide. The extraction parameters were optimized by central composite design (CCD) of response surface methodology (RSM). Due to the non-linearity of the extraction process, artificial neural network (ANN) was also applied for predicting the oil yield. The optimum conditions obtained from RSM were 72 °C, 42 MPa and 4.5 ml/min CO2 flow rate where the oil yield was 52.9 g per 100 g of dry sample and coefficient of determination (R2) was 0.99. The ANN and RSM prediction showed similar R2 of 0.99 and ANN has lower average absolute deviation (AAD) of 0.25% compared to RSM (AAD of 0.31%). Five fatty acids were identified by gas chromatography–mass spectroscopy (GC–MS) analysis of the oil. The amount of oleic acid (18:1) was found to be highest (43.56%) among all the fatty acids. The total unsaturated fatty acid was 73.62% and saturated fatty acid was 26.38% in the P. macrocarpa seed oil.

Item Type:Article
Keyword:Phaleria macrocarpa seed oil; Fatty acids; Response surface methodology; Artificial neural network
Faculty or Institute:Faculty of Food Science and Technology
Publisher:Elsevier
DOI Number:10.1016/j.foodres.2014.06.049
Altmetrics:http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.foodres.2014.06.049
ID Code:35532
Deposited By: Nurul Ainie Mokhtar
Deposited On:14 Jan 2016 11:39
Last Modified:14 Jan 2016 11:39

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