Assessment of Fuel Quality Parameters and Selection of Bacteria Using PROMETHEE–GAIA Algorithm

  • Sumathy Shunmugam
  • Manickam Gayathri
  • Gangatharan Muralitharan
Part of the Methods in Molecular Biology book series (MIMB, volume 1995)


Recently, biodiesel is gaining significant importance due to eco-friendly nature and development of large-scale production methodologies. Biodiesel is a mixture of mono-alkyl esters of fatty acids (FA). During transesterification, the long-chain FAs are combined with methanol to produce fatty acid methyl ester (FAME), the principle component of biodiesel. The biodiesel fuel properties are determined by structural components of FAs such as chain length, degree of unsaturation, and branching of the carbon chain. The fuel quality of biodiesel are evaluated by assessing the properties such as cetane number (CN), iodine value (IV), cold filter plugging point (CFPP), higher heating value (HHV), cloud point (CP), pour point (PP) etc., of FAME. The amount of lipid or fat produced may vary from organism to organism. A particular species may have high biomass with low lipid content and vice versa. So the selection of suitable species/genus by decision analysis software is much needed. Besides various multi-criteria decision analyses, Preference Ranking Organization Method for Enrichment of Evaluation (PROMETHEE) and Graphical Analysis for Interactive Aid (GAIA) analysis is considered as the most promising tool in selecting the prominent biodiesel producing strain. Here we describe the method of evaluating the fuel quality parameters for the produced FAME and selecting the prominent strain through PROMETHEE–GAIA algorithm.

Key words

Biodiesel properties FAME profile Fuel quality parameters Multi-criteria decision analysis PROMETHEE–GAIA Strain selection 



M.G. acknowledges Bharathidasan University authorities for the University Research Fellowship (05441/URF/K7/2013 dated 04.07.2013). The authors are thankful to DST-FIST programme (SR/FIST/LSI/-013/2012 dated 13.08.2012) for instrument facilities.


  1. 1.
    Ho DP, Ngo HH, Guo W (2014) A mini review on renewable sources for biofuel. Bioresour Technol 169:742–749CrossRefGoogle Scholar
  2. 2.
    Dasgupta CN, Suseela MR, Mandotra SK, Kumar P, Pandey MK, Toppo K, Lone JA (2015) Dual uses of microalgal biomass: an integrative approach for biohydrogen and biodiesel production. Appl Energ 146:202–208CrossRefGoogle Scholar
  3. 3.
    Ramos MJ, Fernández CM, Casas A, Rodríguez L, Pérez Á (2009) Influence of fatty acid composition of raw materials on biodiesel properties. Bioresour Technol 100:261–268CrossRefGoogle Scholar
  4. 4.
    Knothe G (2005) Dependence of biodiesel fuel properties on the structure of fatty acid alkyl esters. Fuel Process Technol 86:1059–1070CrossRefGoogle Scholar
  5. 5.
    Jahirul MI, Brown RJ, Senadeera W, Ashwath N, Rasul MG, Rahman MM, Hossain FM, Moghaddam L, Islam MA, O’Hara IM (2015) Physio-chemical assessment of beauty leaf (Calophyllum inophyllum) as second-generation biodiesel feedstock. Energ Rep 1:204–215CrossRefGoogle Scholar
  6. 6.
    Jahirul MI, Brown RJ, Senadeera W, O’Hara IM, Ristovski ZD (2013) The use of artificial neural networks for identifying sustainable biodiesel feedstocks. Energies 6:3764–3806CrossRefGoogle Scholar
  7. 7.
    Knothe G (2011) A technical evaluation of biodiesel from vegetable oils vs. algae. Will algae-derived biodiesel perform? Green Chem 13:3048–3065CrossRefGoogle Scholar
  8. 8.
    Knothe G (2009) Improving biodiesel fuel properties by modifying fatty ester composition. Energy Environ Sci 2:759–766CrossRefGoogle Scholar
  9. 9.
    Szybist JP, Song J, Alam M, Boehman AL (2007) Biodiesel combustion, emissions and emission control. Fuel Process Technol 88:679–691CrossRefGoogle Scholar
  10. 10.
    Kumar M, Sharma MP (2015) Assessment of potential of oils for biodiesel production. Renew Sustain Energ Rev 44:814–823CrossRefGoogle Scholar
  11. 11.
    Francisco ÉC, Neves DB, Jacob-Lopes E, Franco TT (2010) Microalgae as feedstock for biodiesel production: carbon dioxide sequestration, lipid production and biofuel quality. J Chem Technol Biotechnol 85:395–403CrossRefGoogle Scholar
  12. 12.
    Brans JP, Mareschal B (1994) The PROMCALC & GAIA decision support system for multicriteria decision aid. Decis Support Syst 12:297–310CrossRefGoogle Scholar
  13. 13.
    Behzadian M, Kazemzadeh RB, Albadvi A, Aghdasi M (2010) PROMETHEE: a comprehensive literature review on methodologies and applications. Eur J Oper Res 200:198–215CrossRefGoogle Scholar
  14. 14.
    Anahas AMP, Muralitharan G (2015) Isolation and screening of heterocystous cyanobacterial strains for biodiesel production by evaluating the fuel properties from fatty acid methyl ester (FAME) profiles. Bioresour Technol 184:9–17CrossRefGoogle Scholar
  15. 15.
    Wang M, Nie K, Yun F, Cao H, Deng L, Wang F, Tan T (2015) Biodiesel with low temperature properties: enzymatic synthesis of fuel alcohol fatty acid ester in a solvent free system. Renew Energ 83:1020–1025CrossRefGoogle Scholar
  16. 16.
    Agarwal AK, Gupta T, Shukla PC, Dhar A (2015) Particulate emissions from biodiesel fuelled CI engines. Energ Convers Manage 94:311–330CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Sumathy Shunmugam
    • 1
  • Manickam Gayathri
    • 1
  • Gangatharan Muralitharan
    • 1
  1. 1.Department of Microbiology, Centre of Excellence in Life SciencesBharathidasan UniversityTiruchirappalliIndia

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