Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles

Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species se...

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Main Authors: Md. Nurun Nabi, Kirsten Heimann, Godwin A. Ayoko, Richard J. Brown, Muhammad Aminul Islam, Marie Magnusson
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/6/11/5676
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spelling doaj-f1ba61fe275a4359a4d8809a2d7df66d2020-11-25T01:36:45ZengMDPI AGEnergies1996-10732013-10-016115676570210.3390/en6115676Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid ProfilesMd. Nurun NabiKirsten HeimannGodwin A. AyokoRichard J. BrownMuhammad Aminul IslamMarie MagnussonPhysical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.http://www.mdpi.com/1996-1073/6/11/5676Nannochloropsis oculatacetane numbercold filter plugging pointkinematic viscositybiofuel propertiesPreference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance
collection DOAJ
language English
format Article
sources DOAJ
author Md. Nurun Nabi
Kirsten Heimann
Godwin A. Ayoko
Richard J. Brown
Muhammad Aminul Islam
Marie Magnusson
spellingShingle Md. Nurun Nabi
Kirsten Heimann
Godwin A. Ayoko
Richard J. Brown
Muhammad Aminul Islam
Marie Magnusson
Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
Energies
Nannochloropsis oculata
cetane number
cold filter plugging point
kinematic viscosity
biofuel properties
Preference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance
author_facet Md. Nurun Nabi
Kirsten Heimann
Godwin A. Ayoko
Richard J. Brown
Muhammad Aminul Islam
Marie Magnusson
author_sort Md. Nurun Nabi
title Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
title_short Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
title_full Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
title_fullStr Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
title_full_unstemmed Microalgal Species Selection for Biodiesel Production Based on Fuel Properties Derived from Fatty Acid Profiles
title_sort microalgal species selection for biodiesel production based on fuel properties derived from fatty acid profiles
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2013-10-01
description Physical and chemical properties of biodiesel are influenced by structural features of the fatty acids, such as chain length, degree of unsaturation and branching of the carbon chain. This study investigated if microalgal fatty acid profiles are suitable for biodiesel characterization and species selection through Preference Ranking Organisation Method for Enrichment Evaluation (PROMETHEE) and Graphical Analysis for Interactive Assistance (GAIA) analysis. Fatty acid methyl ester (FAME) profiles were used to calculate the likely key chemical and physical properties of the biodiesel [cetane number (CN), iodine value (IV), cold filter plugging point, density, kinematic viscosity, higher heating value] of nine microalgal species (this study) and twelve species from the literature, selected for their suitability for cultivation in subtropical climates. An equal-parameter weighted (PROMETHEE-GAIA) ranked Nannochloropsis oculata, Extubocellulus sp. and Biddulphia sp. highest; the only species meeting the EN14214 and ASTM D6751-02 biodiesel standards, except for the double bond limit in the EN14214. Chlorella vulgaris outranked N. oculata when the twelve microalgae were included. Culture growth phase (stationary) and, to a lesser extent, nutrient provision affected CN and IV values of N. oculata due to lower eicosapentaenoic acid (EPA) contents. Application of a polyunsaturated fatty acid (PUFA) weighting to saturation led to a lower ranking of species exceeding the double bond EN14214 thresholds. In summary, CN, IV, C18:3 and double bond limits were the strongest drivers in equal biodiesel parameter-weighted PROMETHEE analysis.
topic Nannochloropsis oculata
cetane number
cold filter plugging point
kinematic viscosity
biofuel properties
Preference Ranking Organisation Method for Enrichment Evaluation-Graphical Analysis for Interactive Assistance
url http://www.mdpi.com/1996-1073/6/11/5676
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