Literature DB >> 21458602

Innovative approaches for effective selection of lipase-producing microorganisms as whole cell catalysts for biodiesel production.

Gustavo Ciudad1, Isaac Reyes, Laura Azócar, Reinaldo Briones, Milko Jorquera, Lukas Y Wick, Rodrigo Navia.   

Abstract

The high cost of commercial lipases limits their industrial application in the production of biodiesel or fatty acid methyl esters (FAME). This disadvantage has encouraged the search for lipase-producing microorganisms (LPMs) as potential whole cell catalysts for FAME production. The aim of this study, therefore, was to evaluate innovative procedures for easy selection and testing of LPMs as a low-cost whole cell catalyst, based on catalytic performance, methanol tolerance and physico-chemical cell surface properties. The latter (in particular the cell surface hydrophobicity and charge) were analyzed because of their crucial role in microbial adhesion to surfaces and the concomitant increase in cell immobilization and bioavailability of hydrophobic substrates. Biocatalysis experiments performed in the presence of nutrient, rapeseed oil and methanol were an effective tool for studying and identifying, in just two experiments, the capacity of different LPMs as biocatalysts in organic media, as well as the methanol tolerance of the cell and the lipase. This indicates the potential for using live microorganisms for FAME production. Another finding was that the inhibitory effect of methanol is more significant for lipase activity than LPM growth, indicating that the way in which alcohol is supplied to the reaction is a crucial step in FAME production by biocatalysts. According to these results, the application of these innovative assessments should simplify the search for new strains which are able to effectively catalyze the FAME production process.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21458602     DOI: 10.1016/j.nbt.2011.03.009

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  1 in total

1.  Supporting data for identification of biosurfactant-producing bacteria isolated from agro-food industrial effluent.

Authors:  Mohamad Ali Fulazzaky; Shakila Abdullah; Mohd Razman Salim
Journal:  Data Brief       Date:  2016-03-19
  1 in total

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