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Abstract
Aim:
Removal of lead from wastewater using Azotobacter species and optimisation of
various parameters to maximise the adsorption of lead by response surface
methodology as a tool.
Methodology: The bacterial isolate UBI-7 recovered from sewage
water irrigated soil was examined for its biosorption potential towards lead.
The lead removal efficiency of Azotobacter salinestris was studied
with respect to metal concentration (50-250 mg l-1), contact time
(24-120 hrs), and pH (4-8).Using response surface methodology, these factors
were optimized and R2 value obtained was 0.9710 for lead ions,
which indicates the validity of the model. Observation with Fourier Transform
Infrared (FTIR), Scanning Electron Microscope imaging (SEM) and Energy
Dispersive X-ray Spectroscopic analysis (EDX) were carried out to confirm
lead biosorption by Azotobacter salinestris.
Results:
The lead tolerant bacterium isolated from sewage water irrigated soil (UBI-7)
was recognized as Azotobacter salinestris by 16S rRNA based gene sequence
analysis. The highest removal percentage of Pb (61.54) was 50 mg l-1
in 72 hrs equilibration period. Interaction effect between different levels
of Pb and different contact time of the solution were found to be
significant. Lead biosorption by the organism was confirmed by the changes in
stretching intensities of functional groups as well as appearance of strong
OH stretching at 3291.69 cm-1. Images obtained from Scanning
Electron Microscope and Energy Dispersive X-ray Spectroscopic studies of the
bacteria (UBI-7) before and after biosorption clearly indicated lead
adsorption.
Interpretation: Current study proves that the functional
groups of Azotobacter salinestris are involved in lead biosorption
from aqueous solution which was confirmed through FTIR.EDX analysis also
elucidated the lead absorption by the bacterial cells. Hence, this could be
effectively utilized for decontamination of lead from the polluted
environment.
Key
words:
Azotobacter salinestris, Biosorption, Lead, Response surface
methodology
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