Abstract
Aim:
The present study aims to synthesize gamma poly glutamic acid from the
optimized starch-based glutamate-dependent medium for wastewater treatment
with kinetic studies for an effective decolorization process.
Methodology: Microbial coagulant (γ-PGA) was synthesized from the
optimized glutamate-dependent medium with sago as a substrate and Bacillus
subtilis as fermenter. Synthesized γ-PGA was harvested by ethanol
precipitation and lyophilization method. The presence of γ-PGA was determined
by UV-visible spectrum and ninhydrin analysis and its flocculating activity
was screened by ninhydrin assay. Harvested γ-PGA was treated with different
types of wastewater samples (Textile, tannery, dairy and sewage) in the
preliminary screening. Process optimization was performed to screen the
maximal decolorization for textile effluent (light and dark color). The
physical and chemical characterization of treated wastewater samples with
kinetic studies was performed to improve the treatment process.
Results:
The synthesized γ-PGA weighed as 41.20 g l-1 from the fermented
medium and its presence was confirmed by characterization techniques. The
flocculating activity of synthesized γ-PGA was 40.56 and 58.78 % against the
kaolin suspension. The maximal decolorization percentage was 59.58% for γ-
PGA treatment against textile effluent. The significance of optimized
parameters such as pH, temperature, rotation speed and contact time were
determined in the treatment of textile effluents (light and dark color) with
maximal reduction of solids profile COD and BOD concentration. Kinetic
studies revealed that the isotherm Langmuir isotherm was fit for the
experimental data with R2 as 0.9943, 0.9692 and Pseudo second
order fitted with R2 as 0.9871 and 0.9594 respective to light and
dark color effluent.
Interpretation: This study
confirmed the maximal yield of γ-PGA from a sago-based glutamate-dependent
medium and revealed its effective flocculating and decolorization activity
against textile effluent which suggest them as a better alternative
coagulants.
Key words: γ- PGA, Bacillus
subtilis, Kinetic modelling, Process optimization
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