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Process optimization of benzo[ghi]perylene biodegradation by yeast consortium in presence of ZnO nanoparticles and produced biosurfactant using Box-Behnken design
Mandal S.K, Ojha N,
Published in Springer Science and Business Media LLC
2018
Volume: 13
   
Issue: 6
Pages: 418 - 424
Abstract
Background: Benzo[ghi]perylene (BghiP), a polycyclic aromatic hydrocarbon (PAH) containing six fused benzene rings is considered as priority pollutant because of its carcinogenicity, mutagenicity and acute toxicity. Methods: The synthesis of ZnO nanoparticles was done following the standard method. Biosurfactant production by yeast consortium YC04 in MSM was confirmed by various tests viz. drop collapse test, methylene blue agar plate method and emulsification test (E24) using the standard procedures. Efficiency of YC04 was tested to remediate BghiP in presence of ZnO nanoparticles and produced biosurfactant in the growth medium. Results: Response surface methodology (RSM), 3-level five variables Box-Behnken design (BBD) was employed to optimize the factors viz. pH 7.0, temperature 30°C, shaking speed 130 rpm, inoculum dosage 3{\%} and ZnO nanoparticles concentration 2 g/L after a period of 6 days of incubation for the enhanced degradation of BghiP (63.83±0.01{\%}). It was well in close agreement with the predicated value obtained by RSM model yield (63.83±0.08{\%}). Analysis of variance (ANOVA) showed F-value of 51.70, R2 of 0.9764, probability of{\textless}0.0001 and coefficient of variation of 1.25{\%} confirmed the validity of the model. Degradation of BghiP was assessed using GC-MS and FTIR analysis. Kinetic study demonstrated that BghiP degradation fitted first order kinetic model. Conclusions: To the best of our knowledge, this is the first report on process optimization toward nanobioremediation of BghiP using yeast consortium in presence of ZnO nanoparticles and produced biosurfactant in medium.
About the journal
JournalData powered by TypesetFrontiers in Biology
PublisherData powered by TypesetSpringer Science and Business Media LLC
ISSN1674-7984
Open Access0