OPTIMIZATION STUDY ON MATHEMATICAL MODEL OF CYMBOPOGON WINTERIANUS ESSENTIAL OIL EXTRACTION BY STEAM DISTILLATION
Citronella essential oil derived from Cymbopogon winterianus is one of the most widely traded essential oil in the aroma sector. As these oil content more than 50 terpenoidal blends and constituents, the oils are high in demand in aroma industry either as perfumery agent or as source of lead molecul...
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2015
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| Online Access: | http://ir.unimas.my/id/eprint/36675/3/OPTIMIZATION%20STUDY%20ON%20MATHEMATICAL%20MODEL%20OF%20CYMBOPOGON%2024pgs.pdf http://ir.unimas.my/id/eprint/36675/4/OPTIMIZATION%20STUDY%20ON%20MATHEMATICAL%20MODEL%20OF%20CYMBOPOGON%20ft.pdf http://ir.unimas.my/id/eprint/36675/ |
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| Summary: | Citronella essential oil derived from Cymbopogon winterianus is one of the most widely traded essential oil in the aroma sector. As these oil content more than 50 terpenoidal blends and constituents, the oils are high in demand in aroma industry either as perfumery agent or as source of lead molecules to derived more useful value-added product that are required in high-grade cosmetics and drugs. The content of citronella oil in a freshly harvested raw material is only 0.5% to 1.0% and decreases as the plant dries out while waiting to be processed. Other than the limited life of the plantation and low yield, citronella oil also had been witnessing demand and price fluctuations as the result of proliferation of inexpensive synthetic isolates in the market. Therefore, it is important to study and develop optimum mathematical model for the extraction of Cymbopogon winterianus essential oil as mathematical model plays important factors in predicting the extraction of citronella oil. Yield is a major indicator of financial and productivity. Inefficient mathematical model may result in failure and inexact prediction of citronella yield thus leading to waste of capital cost expenditure. Thus in order to optimize the prediction of essential oil, five mathematical models developed by Cassel and Vargas (2006), Hervas et al (2006), Garkal et al (2012), Ana et al (2007) and Milojevi et al (2008) were studied and optimized. The adequacy of the fit of the models to the experimental data are analyzed by using three statistical criteria that are correlation coefficient (r) ,the root mean square error (RMSE) and the mean relative deviation modulus (E). The result has shown that the mathematical model developed by Ana et al (2007) based on mass transfer fundamentals is the optimum mathematical model for the extraction of Cymbopogon winterianus essential oil by steam distillation. |
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