Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction

Swietenia macrophylla (S.macrophylla) is one of the members of the family Meliaceae. S.macrophylla is commonly known as Swietenia mahagoni in Indonesia and locally known as Tunjuk Langit in Malaysia. It is very popular for various treatments and it contains many useful health properties such as anti...

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Main Author:	Hilmi, Mohammad Lokman
Format:	Thesis
Language:	English
Published:	2020
Subjects:	TP Chemical technology
Online Access:	http://eprints.utm.my/id/eprint/92073/1/MuhammadLokmanHilmiMSChE2020.pdf
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id	my-utm-ep.92073
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spelling	my-utm-ep.920732021-08-30T04:59:25Z Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction 2020 Hilmi, Mohammad Lokman TP Chemical technology Swietenia macrophylla (S.macrophylla) is one of the members of the family Meliaceae. S.macrophylla is commonly known as Swietenia mahagoni in Indonesia and locally known as Tunjuk Langit in Malaysia. It is very popular for various treatments and it contains many useful health properties such as antibacterial, antioxidant, anti-inflammatory and antidiabetic. The main purpose of this research was to investigate the effect of temperature and pressure on the oil yield and solubility of S.macrophylla seeds oil using supercritical carbon dioxide (SC-CO2). Understanding the behavior of the SC-CO2 separation process is fundamental in designing this process. Another objective was to determine the best suited solubility model for S.macrophylla seeds oil using five semi-empirical solvent density-based models. The solubility of S. macrophylla seeds oil in SC-CO2 was determined by using the dynamic method at 20-30 MPa and 40-60 oC at the fixed CO2 flow rate of 2 mL/min. The results showed that an increase in temperature and pressure would increase the oil yield. The highest extract and solubility of S.macrophylla oil was obtained at the highest extraction condition of 60 oC and 30 MPa with 803 mg oil/g sample and 4.77 mg/g CO2 respectively. In this study, five semi-empirical models were tested to fit the experimental data. Results showed that Sparks model was the best-fitted model for S. macrophylla seeds oil solubility data with an average absolute relative deviation of 7.76% and a high coefficient of determination, R2, of 0.992. It can be concluded that the result of this study can be used as reference in widening the scope of research in the area of pressure and temperature with a better improvement of predictive ability. 2020 Thesis http://eprints.utm.my/id/eprint/92073/ http://eprints.utm.my/id/eprint/92073/1/MuhammadLokmanHilmiMSChE2020.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:139340 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering Faculty of Engineering - School of Chemical & Energy Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TP Chemical technology
spellingShingle	TP Chemical technology Hilmi, Mohammad Lokman Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
description	Swietenia macrophylla (S.macrophylla) is one of the members of the family Meliaceae. S.macrophylla is commonly known as Swietenia mahagoni in Indonesia and locally known as Tunjuk Langit in Malaysia. It is very popular for various treatments and it contains many useful health properties such as antibacterial, antioxidant, anti-inflammatory and antidiabetic. The main purpose of this research was to investigate the effect of temperature and pressure on the oil yield and solubility of S.macrophylla seeds oil using supercritical carbon dioxide (SC-CO2). Understanding the behavior of the SC-CO2 separation process is fundamental in designing this process. Another objective was to determine the best suited solubility model for S.macrophylla seeds oil using five semi-empirical solvent density-based models. The solubility of S. macrophylla seeds oil in SC-CO2 was determined by using the dynamic method at 20-30 MPa and 40-60 oC at the fixed CO2 flow rate of 2 mL/min. The results showed that an increase in temperature and pressure would increase the oil yield. The highest extract and solubility of S.macrophylla oil was obtained at the highest extraction condition of 60 oC and 30 MPa with 803 mg oil/g sample and 4.77 mg/g CO2 respectively. In this study, five semi-empirical models were tested to fit the experimental data. Results showed that Sparks model was the best-fitted model for S. macrophylla seeds oil solubility data with an average absolute relative deviation of 7.76% and a high coefficient of determination, R2, of 0.992. It can be concluded that the result of this study can be used as reference in widening the scope of research in the area of pressure and temperature with a better improvement of predictive ability.
format	Thesis
qualification_level	Master's degree
author	Hilmi, Mohammad Lokman
author_facet	Hilmi, Mohammad Lokman
author_sort	Hilmi, Mohammad Lokman
title	Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
title_short	Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
title_full	Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
title_fullStr	Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
title_full_unstemmed	Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
title_sort	solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Chemical & Energy Engineering
granting_department	Faculty of Engineering - School of Chemical & Energy Engineering
publishDate	2020
url	http://eprints.utm.my/id/eprint/92073/1/MuhammadLokmanHilmiMSChE2020.pdf
_version_	1747818563254616064

Solubility of swietenia macrophylla seeds oil in supercritical carbon dioxide extraction

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