A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production

Oleaginous microorganisms have potential to be used to produce oils as alternative feedstock for biodiesel production. Microalgae (Chlorella protothecoides and Chlorella zofingiensis), yeasts (Cryptococcus albidus and Rhodotorula mucilaginosa), and fungi (Aspergillus oryzae and Mucor plumbeus) were...

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Main Authors:	Ahmad, Farah, Zhang, Zhanying, Doherty, William O. S., O'Hara, Ian M.
Format:	Article
Language:	English
Published:	Elsevier 2015
Subjects:	TA164 Bioengineering TA170 Environmental engineering TP155 Chemical engineering TP315 Fuel TP670 Oils, fats, waxes
Online Access:	http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/1/A%20multi-criteria%20analysis%20approach%20for%20ranking%20and%20selection%20of.pdf

id	iium-58517
recordtype	eprints
spelling	iium-585172017-09-28T01:26:24Z http://irep.iium.edu.my/58517/ A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production Ahmad, Farah Zhang, Zhanying Doherty, William O. S. O'Hara, Ian M. TA164 Bioengineering TA170 Environmental engineering TP155 Chemical engineering TP315 Fuel TP670 Oils, fats, waxes Oleaginous microorganisms have potential to be used to produce oils as alternative feedstock for biodiesel production. Microalgae (Chlorella protothecoides and Chlorella zofingiensis), yeasts (Cryptococcus albidus and Rhodotorula mucilaginosa), and fungi (Aspergillus oryzae and Mucor plumbeus) were investigated for their ability to produce oil from glucose, xylose and glycerol. Multi-criteria analysis (MCA) using analytic hierarchy process (AHP) and preference ranking organization method for the enrichment of evaluations (PROMETHEE) with graphical analysis for interactive aid (GAIA), was used to rank and select the preferred microorganisms for oil production for biodiesel application. This was based on a number of criteria viz., oil concentration, content, production rate and yield, substrate consumption rate, fatty acids composition, biomass harvesting and nutrient costs. PROMETHEE selected A. oryzae, M. plumbeus and R. mucilaginosa as the most prospective species for oil production. However, further analysis by GAIA Webs identified A. oryzae and M. plumbeus as the best performing microorganisms. Elsevier 2015-08 Article PeerReviewed application/pdf en http://irep.iium.edu.my/58517/1/A%20multi-criteria%20analysis%20approach%20for%20ranking%20and%20selection%20of.pdf Ahmad, Farah and Zhang, Zhanying and Doherty, William O. S. and O'Hara, Ian M. (2015) A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production. Bioresource Technology, 190. pp. 264-273. ISSN 0960-8524 http://www.sciencedirect.com/science/article/pii/S0960852415006094 10.1016/j.biortech.2015.04.083
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA164 Bioengineering TA170 Environmental engineering TP155 Chemical engineering TP315 Fuel TP670 Oils, fats, waxes
spellingShingle	TA164 Bioengineering TA170 Environmental engineering TP155 Chemical engineering TP315 Fuel TP670 Oils, fats, waxes Ahmad, Farah Zhang, Zhanying Doherty, William O. S. O'Hara, Ian M. A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
description	Oleaginous microorganisms have potential to be used to produce oils as alternative feedstock for biodiesel production. Microalgae (Chlorella protothecoides and Chlorella zofingiensis), yeasts (Cryptococcus albidus and Rhodotorula mucilaginosa), and fungi (Aspergillus oryzae and Mucor plumbeus) were investigated for their ability to produce oil from glucose, xylose and glycerol. Multi-criteria analysis (MCA) using analytic hierarchy process (AHP) and preference ranking organization method for the enrichment of evaluations (PROMETHEE) with graphical analysis for interactive aid (GAIA), was used to rank and select the preferred microorganisms for oil production for biodiesel application. This was based on a number of criteria viz., oil concentration, content, production rate and yield, substrate consumption rate, fatty acids composition, biomass harvesting and nutrient costs. PROMETHEE selected A. oryzae, M. plumbeus and R. mucilaginosa as the most prospective species for oil production. However, further analysis by GAIA Webs identified A. oryzae and M. plumbeus as the best performing microorganisms.
format	Article
author	Ahmad, Farah Zhang, Zhanying Doherty, William O. S. O'Hara, Ian M.
author_facet	Ahmad, Farah Zhang, Zhanying Doherty, William O. S. O'Hara, Ian M.
author_sort	Ahmad, Farah
title	A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
title_short	A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
title_full	A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
title_fullStr	A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
title_full_unstemmed	A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
title_sort	multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production
publisher	Elsevier
publishDate	2015
url	http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/ http://irep.iium.edu.my/58517/1/A%20multi-criteria%20analysis%20approach%20for%20ranking%20and%20selection%20of.pdf
first_indexed	2023-09-18T21:22:45Z
last_indexed	2023-09-18T21:22:45Z
_version_	1777411990518497280

A multi-criteria analysis approach for ranking and selection of microorganisms for the production of oils for biodiesel production

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