Statistical-based optimization and scale-up of siderophore production process on laboratory bioreactor

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Abstract

© 2016, The Author(s). We report the enhanced production of siderophore in succinate medium by applying two-stage statistical approach, i.e., Plackett–Burman design and response surface methodology (RSM) using central composite design (CCD). In the first stage of optimization, out of 11 variable components of succinate medium, succinic acid, pH and temperature were found as significant components that influenced the siderophore production in Pseudomonas aeruginosa RZS9. The second stage of RSM using CCD consisted of optimizing the concentrations of the variables. Here, 0.49 g/100 ml concentration of succinic acid, pH 7.08 and temperature of 27.80 °C yielded the maximum (68.41 %) siderophore units. All the significant components exhibited quadratic effect on siderophore production. The F value of 28.63, multiple correlation coefficient (R2) of 0.9626, percent coefficient of variation of 8.81 values indicated that the model was significant and that the experimental data was satisfactorily adjusted to the quadratic model. During validation of these experiments, 6.10 % increase in siderophore yield was obtained. Scale-up of this protocol optimized at shake  flask level up to 5 L-capacity reactor further enhanced the siderophore yield. We claim it to be the first report on statistical optimization of siderophore production by P. aeruginosa RZS9.

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Shaikh, S. S., Wani, S. J., & Sayyed, R. Z. (2016). Statistical-based optimization and scale-up of siderophore production process on laboratory bioreactor. 3 Biotech, 6(1), 1–10. https://doi.org/10.1007/s13205-016-0365-2

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