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Screening of lipid degrading microorganisms for wastewater treatment

  • Zinigul Serikovna Sarmurzina
  • , Samat Serikovich Kozhakhmetov
  • , Sandugash Sakenovna Anuarbekova
  • , Serik Murzakhmetovich Shaikhin
  • , Kairtay Khamitovich Almagambetov
  • Ministry of Education and Science of the Republic of Kazakhstan

Research output: Contribution to journal › Article › peer-review

Abstract

Aims: Fats, oils and greases (FOG) are poorly removable materials in wastewater treatment systems. The aim of this work is to find the most suitable strain(s) for a biological treatment technology of FOGs polluted wastewaters. Methodology and results: The 142 microorganisms from polluted environment were screened for lipase activity (LA) by sequentially using assays on agar-Tween 80, agar- fats, and turbidimetrically measuring the quantity of calcium salts with fatty acids. The isolates G23, G30, and Zb32 showed highest units of LA and were identified by sequence analysis of 16S rRNA genes. Lipid masses were determined gravimetrically after chloroform/ethyl alcohol extraction. In the model solutions with animal fats the strain Pseudomonas aeruginosa G23 reduced mass fractions of mutton fat, beef tallow, and lard by 79±5%, 88±4%, and 80±6% respectively. Under the same conditions Aeromonas punctata G30 reduced: 65±3%, 60±8%, and 75±4%, and P. aeruginosa Zb32 reduced: 47±5%, 52±6% and 73±7%. In the model solutions with FOGs trap specimens as a carbon source from the local cafeteria the strains P. aeruginosa G23, A. punctata G30, and P. aeruginosa Zb32 reduced a lipid mass fraction by 61.5±7%, 45.2±5%, and 37.5±3% respectively. Conclusion, significance and impact of study: The strain P. aeruginosa G23 is the most effective lipid-degrading microorganism and the best candidate to use in biological treatment technology of FOGs polluted wastewater in Kazakhstan.

Original languageEnglish
Pages (from-to)219-226
Number of pages8
JournalMalaysian Journal of Microbiology
Volume9
Issue number3
Publication statusPublished - 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Lipid degradation
  • Microorganism screening
  • Molecular identification
  • P. aeruginosa G23
  • Wastewater treatment

ASJC Scopus subject areas

  • Applied Microbiology and Biotechnology
  • Microbiology (medical)
  • Infectious Diseases

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