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Bioremediation of Lead Compound Using Acinetobacter sp. 158; Optimization of Media and Cell Growth Dynamics

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Waste Valorisation and Recycling

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Abstract

The present investigation deals with an in-depth study on optimization of lead removal capacity of lead-resistant bacterium Acinetobacter sp. 158 as a response variable with limiting carbon source, pH, and rotational speed as non-interacting-type independent variables. The statistical optimization technique response surface methodology has been used for this purpose. The optimum parameters of the independent variables have been identified through 3D plots. A set of deterministic model equations have been developed through rigorous modeling and simulation to predict the cell growth dynamics of the lead-resistant bacterium Acinetobacter sp. 158. A set of programmed experiments have been conducted using the optimized value of the independent variables obtained through RSM to validate the proposed model equations.

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Abbreviations

C G :

Concentration of substrate glucose (kg/m3)

C B :

Concentration of biomass (kg/m3)

k :

Maximum specific cell growth rate (hour−1)

K S :

Saturation constant for lead (kg/m3)

t :

Time of incubation (hours)

\(\varvec{Y}_{{{\raise0.7ex\hbox{$\varvec{B}$} \!\mathord{\left/ {\vphantom {\varvec{B} \varvec{G}}}\right.\kern-0pt} \!\lower0.7ex\hbox{$\varvec{G}$}}}}\) :

Yield factor

References

  1. Wang X, Nie Z, He L, Wang Q, Sheng X (2017) Isolation of As—tolerant bacteria and their potentials of reducing As and Cd accumulation of edible tissues of vegetables in metal (loid)-contaminated soils. Sci Total Env 579:179–189

    Article  CAS  Google Scholar 

  2. Mahbub MR, Kannan K, Naidu R, Mallavarapu M (2016) Mercury resistance and volatilization by Pseudoxanthomonas sp. SE1 isolated from soil. Environ Technol Innov 6:94–104

    Article  Google Scholar 

  3. Mala JGS, Sujatha D, Rose C (2015) Inducible chromate reductase exhibiting extracellular activity in Bacillus methylotrophicus for chromium bioremediation. Microbiol Res 170:235–241

    Article  Google Scholar 

  4. Davolos D, Pietrangeli B (2013) A molecular study on bacterial resistance to arsenic-toxicity in surface and underground waters of Latium (Italy). Ecotoxicol. Environ Saf 96:1–9

    Article  CAS  Google Scholar 

  5. Bose M, Datta S, Bhattacharya P (2017) Studies on isolation, characterization and cell growth dynamics of a lead resistant bacterium Acenetobacter 158. Environ Technol Innov 8:103–112

    Article  Google Scholar 

  6. Ghoshal S, Bhattacharya P, Chowdhury R (2011) De-mercurization of wastewater by Bacillus cereus (JUBT1): Growth kinetics, biofilm reactor study and field emission scanning electron microscopic analysis. J Hazard Mater 194:355–361

    Article  CAS  Google Scholar 

  7. Miller GL (1959) Use of dinitrosalicylic acid reagent for determination of reducing sugar. J Anal Chem 31:426–428

    Article  CAS  Google Scholar 

  8. Myers Raymond H, Montgomery DC (2002) Response surface methodology: process and product optimization using designed experiment. Wiley-Interscience Publication, New York, NY

    Google Scholar 

  9. Box G, Hunter JS (1957) Multi-factor experimental designs for exploring response surfaces. Ann Math Stat 28:195–241

    Article  Google Scholar 

  10. Ferda G, Zümriye A (2008) Use of response surface methodology (RSM) in the evaluation of growth and copper(II) bioaccumulation properties of Candida utilis in molasses medium. J Haz Mat 154:731–738

    Article  Google Scholar 

  11. Levenspiel O (2013) Chemical Reactor Omnibook-soft cover. Lulu. com.

    Google Scholar 

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Acknowledgements

One of the authors (M.B.) gratefully acknowledges the University Grants Commissions, Govt. of India for providing financial support for this work.

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Authors and Affiliations

  1. Chemical Engineering Department, Jadavpur University, Kolkata, 700 032, India

    Moumita Bose & S. Datta

  2. Department of Chemical Engineering, Heritage Institute of Technology, Kolkata, 700 107, India

    Pinaki Bhattacharya

Authors
  1. Moumita Bose
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  2. S. Datta
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  3. Pinaki Bhattacharya
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Corresponding author

Correspondence to Moumita Bose .

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Editors and Affiliations

  1. Department of Mechanical Engineering, Jadavpur University, President, International Society of Waste Management, Air and Water (ISWMAW), Kolkata, West Bengal, India

    Sadhan Kumar Ghosh

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Bose, M., Datta, S., Bhattacharya, P. (2019). Bioremediation of Lead Compound Using Acinetobacter sp. 158; Optimization of Media and Cell Growth Dynamics. In: Ghosh, S. (eds) Waste Valorisation and Recycling. Springer, Singapore. https://doi.org/10.1007/978-981-13-2784-1_38

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