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...

Full description

Saved in:
Bibliographic Details
Main Authors: Ahmad, Farah, Zhang, Zhanying, Doherty, William O. S., O'Hara, Ian M.
Format: Article
Language:English
Published: Elsevier 2015
Subjects:
Online Access:http://irep.iium.edu.my/58517/1/A%20multi-criteria%20analysis%20approach%20for%20ranking%20and%20selection%20of.pdf
http://irep.iium.edu.my/58517/
http://www.sciencedirect.com/science/article/pii/S0960852415006094
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Islam Antarabangsa Malaysia
Language: English
id my.iium.irep.58517
record_format dspace
spelling my.iium.irep.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 REM 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
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
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/58517/1/A%20multi-criteria%20analysis%20approach%20for%20ranking%20and%20selection%20of.pdf
http://irep.iium.edu.my/58517/
http://www.sciencedirect.com/science/article/pii/S0960852415006094
_version_ 1643615372199329792