Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods

In line with the growing environmental awareness developed along the last decades, modern societies are urged to evolve into sustainable economics where the reuse of organic wastes represents the key feedstock for a green transaction. The oil phase obtained from different biomasses has the potential...

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Main Authors: Ana M. Sousa, Thalles A. Andrade, Massimiliano Errico, José P. Coelho, Rui M. Filipe, Henrique A. Matos
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:International Journal of Chemical Engineering
Online Access:http://dx.doi.org/10.1155/2019/2430234
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author Ana M. Sousa
Thalles A. Andrade
Massimiliano Errico
José P. Coelho
Rui M. Filipe
Henrique A. Matos
author_facet Ana M. Sousa
Thalles A. Andrade
Massimiliano Errico
José P. Coelho
Rui M. Filipe
Henrique A. Matos
author_sort Ana M. Sousa
collection DOAJ
description In line with the growing environmental awareness developed along the last decades, modern societies are urged to evolve into sustainable economics where the reuse of organic wastes represents the key feedstock for a green transaction. The oil phase obtained from different biomasses has the potential to be a source of food supplements, medicines, cosmetics, or feedstock for biofuel production. In the present work, the composition of 104 different biomasses including seeds, peels, flowers, plants, and leaves has been reviewed for the lipid content. Based on the most frequent fatty acids screened, experimental data for normal boiling point temperature, normal melting point, critical properties, and acentric factor were collected and compared with the most common estimation methods, which are functions of the molecular structure and interaction between different functional groups. New predictive equations have been proposed to reduce the estimation deviation and to provide simple correlations to be used in simulation software when dealing with biomass processes. For all the properties, the estimations proposed have an absolute average deviation equal to or lower than 4.6%.
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institution Kabale University
issn 1687-806X
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series International Journal of Chemical Engineering
spelling doaj-art-a4f9027d5d344c32a156f73bf989251f2025-02-03T01:00:31ZengWileyInternational Journal of Chemical Engineering1687-806X1687-80782019-01-01201910.1155/2019/24302342430234Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation MethodsAna M. Sousa0Thalles A. Andrade1Massimiliano Errico2José P. Coelho3Rui M. Filipe4Henrique A. Matos5CERENA/DEQ, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, PortugalDepartment of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, Campusvej 55, 5230 Odense, DenmarkDepartment of Chemical Engineering, Biotechnology and Environmental Technology, University of Southern Denmark, Campusvej 55, 5230 Odense, DenmarkInstituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, 1959-007 Lisboa, PortugalCERENA/DEQ, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, PortugalCERENA/DEQ, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, Lisboa, PortugalIn line with the growing environmental awareness developed along the last decades, modern societies are urged to evolve into sustainable economics where the reuse of organic wastes represents the key feedstock for a green transaction. The oil phase obtained from different biomasses has the potential to be a source of food supplements, medicines, cosmetics, or feedstock for biofuel production. In the present work, the composition of 104 different biomasses including seeds, peels, flowers, plants, and leaves has been reviewed for the lipid content. Based on the most frequent fatty acids screened, experimental data for normal boiling point temperature, normal melting point, critical properties, and acentric factor were collected and compared with the most common estimation methods, which are functions of the molecular structure and interaction between different functional groups. New predictive equations have been proposed to reduce the estimation deviation and to provide simple correlations to be used in simulation software when dealing with biomass processes. For all the properties, the estimations proposed have an absolute average deviation equal to or lower than 4.6%.http://dx.doi.org/10.1155/2019/2430234
spellingShingle Ana M. Sousa
Thalles A. Andrade
Massimiliano Errico
José P. Coelho
Rui M. Filipe
Henrique A. Matos
Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
International Journal of Chemical Engineering
title Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
title_full Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
title_fullStr Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
title_full_unstemmed Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
title_short Fatty Acid Content in Biomasses: State-of-the-Art and Novel Physical Property Estimation Methods
title_sort fatty acid content in biomasses state of the art and novel physical property estimation methods
url http://dx.doi.org/10.1155/2019/2430234
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