Literature DB >> 24342539

Cost effective production of pullulan from agri-industrial residues using response surface methodology.

Ananya Mehta1, G S Prasad1, Anirban Roy Choudhury2.   

Abstract

Response surface methodology was used to develop an economically feasible process for the fermentative production of pullulan using agri-industrial residues, jaggery, de-oiled jatropha seed cake (DOJSC) and corn steep liquor (CSL), as sole media components. A second order polynomial model was obtained using central composite design to understand the effects of interactions among these substrates on pullulan biosynthesis. Results indicated that, lower concentrations of CSL and DOJSC and higher concentrations of jaggery favoured pullulan production. The optimal nutrient composition (18% jaggery, 3% DOJSC and 0.97% CSL) as suggested by the model resulted in production of 66.25 g/L pullulan with a productivity of 0.92 g/Lh. Analysis of raw material cost component for pullulan production suggested that sole utilization of agri-residues may lead to development of cost effective process for pullulan production.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Agri-industrial waste; Pullulan; Response surface methodology

Mesh:

Substances:

Year:  2013        PMID: 24342539     DOI: 10.1016/j.ijbiomac.2013.12.011

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  5 in total

1.  Understanding response surface optimization of medium composition for pullulan production from de-oiled rice bran by Aureobasidium pullulans.

Authors:  R S Singh; Navpreet Kaur
Journal:  Food Sci Biotechnol       Date:  2019-03-05       Impact factor: 2.391

2.  Evaluation of Some Agro-Industrial Wastes as Fermentation Medium for Pullulan Production by Aureobasidium pullulans AZ-6.

Authors:  Büşra Akdeniz Oktay; M Tijen Bozdemir; Z Yeşim Özbaş
Journal:  Curr Microbiol       Date:  2022-02-09       Impact factor: 2.188

3.  Optimization of Polyplex Formation between DNA Oligonucleotide and Poly(ʟ-Lysine): Experimental Study and Modeling Approach.

Authors:  Tudor Vasiliu; Corneliu Cojocaru; Alexandru Rotaru; Gabriela Pricope; Mariana Pinteala; Lilia Clima
Journal:  Int J Mol Sci       Date:  2017-06-17       Impact factor: 5.923

4.  Improved Pullulan Production and Process Optimization Using Novel GA-ANN and GA-ANFIS Hybrid Statistical Tools.

Authors:  Parul Badhwar; Ashwani Kumar; Ankush Yadav; Punit Kumar; Ritu Siwach; Deepak Chhabra; Kashyap Kumar Dubey
Journal:  Biomolecules       Date:  2020-01-10

5.  Statistical Optimization of Medium for Pullulan Production by Aureobasidium pullulans NCPS2016 Using Fructose and Soybean Meal Hydrolysates.

Authors:  Jinyu Yang; Yanhao Zhang; Shuangzhi Zhao; Qingxin Zhou; Xue Xin; Leilei Chen
Journal:  Molecules       Date:  2018-06-01       Impact factor: 4.411

  5 in total

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