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Characterization, application and statistical optimization approach for enhanced production of pyocyanin pigment by Pseudomonas aeruginosa DN9

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Abstract

The aim of this work was to study the pyocyanin pigment from Pseudomonas aeruginosa DN9. The work involves optimization of process parameters for enhanced production of pyocyanin pigment under submerged fermentation condition. During optimization process, maximum pyocyanin production (92.12 µg/ml) was obtained with carbon source mannitole, nitrogen source peptone, inorganic salt NaCl and metal ion FeSO4. Plackett Burman design and Response Surface Methodology (RSM) showed peptone, NaCl and KH2PO4 are significant variable in the production of pyocyanin pigment. The FTIR and GC–MS study was done to evaluate structural properties of pyocyanin pigment. The purified pigment was further analyzed as colouring agent and for inhibitory action against pathogenic microorganisms. Thus, present study showed Pseudomonas aeruginosa DN9 as promising culture for pigment production with potential biotechnological application.

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Acknowledgements

Mayur Gahlout wishes to thank college Chairman Shri Kantibhai Haria and Managing trustee Mr. A. K. Shah and other respective trustees for their support and provision of facilities for research work.

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Authors and Affiliations

  1. Department of Microbiology, KBS Commerce and NATARAJ Professional Sciences College (Affiliated To VNSGU, Surat), Vapi, 396195, India

    Mayur Gahlout, Poonam B. Chauhan, Hiren Prajapati, Nirali Tandel, Seema Rana, Dhrutikumari Solanki & Nilamben Patel

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  1. Mayur Gahlout
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Gahlout, M., Chauhan, P.B., Prajapati, H. et al. Characterization, application and statistical optimization approach for enhanced production of pyocyanin pigment by Pseudomonas aeruginosa DN9. Syst Microbiol and Biomanuf 1, 459–470 (2021). https://doi.org/10.1007/s43393-021-00033-z

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  • DOI: https://doi.org/10.1007/s43393-021-00033-z

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