Dao, Tan Phat and Nguyen, Duy Chinh and Tran, Thien Hien and Thinh, Phan Van and Hieu, Vu-Quang and Vo, Dai-Viet N. and Nguyen, Trinh Duy and Bach, Long Giang (2019) Modeling and optimization of the orange leaves oil extraction process by microwave-assisted hydro-distillation : the response surface method based on the central composite approach (RSM-CCD model). Rasayan Journal of Chemistry, 12 (2). pp. 666-676. ISSN 0974-1496 (Print), 0976-0083 (Online). (Published)
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Abstract
Although being a by-product after the harvest, orange leaves could be used to produce essential oil through extraction. Application of the essential oil extracted from orange leaves is diverse ranging from food flavoring to cosmetics. This study aimed to develop optimal conditions for microwave assisted hydro-distillation of essential oil from orange leaves. The selected optimization method is Response Surface Methodology in conjunction with the central composite experiment design. The factors that were varied for the production of the orange leaves oil extraction were material-to-water ratio, extraction time, and microwave power. Accordingly, a statistical model was established and Analysis of variance (ANOVA) was carried out to identify the set of factors that gives the highest essential oil yield. Optimization results revealed optimal conditions as follows, material and water ratio of 3.46:1 (mL/g), extraction time of 100.47 min and operating power of 471.58 W. These conditions correspond to the essential oil yield of 0.43% with 92.1 % reliability. In addition, we also analyze the produced essential oils by gas chromatography-mass spectrometry (GC-MS). The GC-MS results revealed that major components of essential oil were Sabinene (30.556 %), Cis-Ocimene (10.139 %), and D-Limonene (9.682 %).
Item Type: | Article |
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Additional Information: | Indexed by Scopus |
Uncontrolled Keywords: | Orange leaves oil; Microwave-assisted hydro-distillation; Response surface methodology; GC-MS |
Subjects: | T Technology > TP Chemical technology |
Faculty/Division: | Faculty of Chemical & Natural Resources Engineering |
Depositing User: | Mrs Norsaini Abdul Samat |
Date Deposited: | 14 Nov 2019 08:14 |
Last Modified: | 14 Nov 2019 08:14 |
URI: | http://umpir.ump.edu.my/id/eprint/25558 |
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