Isaac Scientific Publishing

Environmental Pollution and Protection

Biodegradation of Acenaphthene Using Two Different Isolated Bacteria: Comparative Analysis and Optimization Using Artificial Neural Network

Download PDF (403.8 KB) PP. 12 - 22 Pub. Date: September 19, 2016

DOI: 10.22606/epp.2016.11002

Author(s)

  • Papita Das*
    Dept. of Chemical Engineering, Jadavpur University, Kolkata, India
  • Dolanchapa Sikdar
    Dept. of Chemical Engineering, Jadavpur University, Kolkata, India
  • Abhirupa Banerjee
    Dept. of Chemical Engineering, Jadavpur University, Kolkata, India
  • Siddhartha Datta

Abstract

Polycyclic Aromatic Hydrocarbons are one of the toxic pollutants in nature having both carcinogenic and mutagenic effects and accumulate in the environment from industrial wastes, natural sources like volcanoes and human activities. Acenaphthene degradation efficiency of two isolated micro-organism Bacillus sp. PD5 and Halomonas sp.PD4; gram positive and gram negative bacteria were evaluated in batch experiments. The study was performed by different parameters like inoculum volume, pH, salinity, temperature, agitation speed and a comparative analysis was carried out. The objective of this study was to compare the efficiency of the isolated organisms to degrade acenaphthene under different experimental conditions. The maximum acenaphthene degradation was found to be around 82% by Bacillus sp. PD5 and 65.25% in case of Halomonas sp.PD4. Artificial neural network was applied to estimate the maximum degradation of acenaphthene by both micro-organisms and it was observed that the developed ANN model significantly satisfied the experimental results.

Keywords

Acenaphthene, Bacillus sp. PD5, Biodegradation, Halomonas sp.PD4, Polycyclic Aromatic Hydrocarbons, Artificial Neural Network (ANN).

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