Sequential optimization and large scale production of lipase using tri-substrate mixture from Aspergillus niger MTCC 872 by solid state fermentation

Mandari, Venkatesh and Nema, Ashutosh and Devarai, Santhosh Kumar (2019) Sequential optimization and large scale production of lipase using tri-substrate mixture from Aspergillus niger MTCC 872 by solid state fermentation. Process Biochemistry. ISSN 13595113

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Abstract

Tri-substrate mixture of Prosopis juliflora (PJ), red gram husk (RGH) and cotton seed cake (CSC) has been studied for the production of lipase (E.C. 3.1.1.3) using Aspergillus niger MTCC 872 in solid state fermentation. Simplex centroid mixture design (SCMD) was implemented to optimize the tri-substrate mixture composition consisting of PJ, RGH and CSC. Mixture taken in the ratio of 6.66:1.66:1.66 for PJ:RGH:CSC has shown highest lipase activity of 212.20 ± 6.36 U/gds at 30 °C, 7 pH and 70% initial moisture content (v/w). Sequential optimization of physical parameters was done using the central composite face-centered design (CCFD). The optimum mixture composition has shown the highest lipase activity of 269.87 ± 8.09 U/gds at 35 °C, 7 pH and 70% initial moisture content (v/w). ANOVA analysis for SCMD and CCFD confirms the model’s significance with R2 values of 0.9989 and 0.968. A 1.27 fold increased lipase activity was obtained after physical parameters optimization. Large scale production using 1 kg substrate was carried out in tray bioreactor with different bed heights and the highest lipase activity of 208.79 ± 6.26 U/gds was obtained. This study signifies the enhancement of lipase production using substrate PJ for lipase production along with the other agricultural residues.

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IITH Creators:
IITH CreatorsORCiD
Devarai, Santhosh KumarUNSPECIFIED
Item Type: Article
Subjects: Chemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Team Library
Date Deposited: 11 Nov 2019 04:33
Last Modified: 11 Nov 2019 04:33
URI: http://raiith.iith.ac.in/id/eprint/6934
Publisher URL: http://doi.org/10.1016/j.procbio.2019.10.026
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