Multi-response optimization of rhamnolipid production using grey rational analysis in Taguchi method

Highlights

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  Optimization of rhamnolipid production under integrated Taguchi design and GRA.

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  The results were analyzed by using grey relational analysis.

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  In doing this, volumetric productivity of the process improved by 142%.

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  Total sugars concentration was the most influencing parameter.

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  This is a biocompatible production via sustainable technology.

Abstract

The present paper envisages the multi-response optimization of certain process parameters like total sugars concentration, C/N ratio and incubation time on rhamnolipid yield, surface tension reduction, biomass formation and substrate utilization, in rhamnolipid production by a Pseudomonas aeruginosa mutant strain grown on clarified blackstrap molasses, under L ₉ orthogonal array in Taguchi design. The results have been analyzed by using grey relational analysis for the identification of an optimum level of process parameters. The validity of the results was checked though confirmation experiment, under grey relational analysis. Subsequently, the rhamnolipid yield improved from 1.45 to 1.50 g/L, substrate utilization reduced from 26 to 14% (w/v) and lesser biomass was formed. Moreover, the volumetric productivity of the process improved from 0.0086 to 0.0208 g/L/h by 142%. Furthermore, using analysis of variance method, significant contributions of process parameters were determined.