Literature DB >> 30529474

Response surface statistical optimization of bacterial nanocellulose fermentation in static culture using a low-cost medium.

Ana Cristina Rodrigues1, Ana Isabel Fontão1, Aires Coelho1, Marta Leal1, Francisco A G Soares da Silva1, Yizao Wan2, Fernando Dourado3, Miguel Gama1.   

Abstract

This work aimed at the optimization of bacterial nanocellulose (BNC) production by static culture, using Komagataeibacter xylinus BPR 2001 (K. xylinus). Response surface methodology - central composite design was used to evaluate the effect of inexpensive and widely available nutrient sources, namely molasses, ethanol, corn steep liquor (CSL) and ammonium sulphate, on BNC production yield. The optimized parameters for maximum BNC production were % (m/v): molasses 5.38, CSL 1.91, ammonium sulphate 0.63, disodium phosphate 0.270, citric acid 0.115 and ethanol 1.38% (v/v). The experimental and predicted maximum BNC production yields were 7.5 ± 0.54 g/L and 6.64 ± 0.079 g/L, respectively and the experimental and predicted maximum BNC productivity were 0.829 ± 0.046 g/L/day and 0.734 ± 0.079 g/L/day, after 9 days of static culture fermentation, at 30 °C. The effect of surface area and culture medium depth on production yield and productivity were also studied. BNC dry mass production increased linearly with surface area, medium depth and fermentation time. So long as nutrients were still available in the culture media, BNC mass productivity was constant. The results show that a high BNC production yield can be obtained by static culture of K. xylinus BPR 2001 using a low-cost medium. These are promising conditions for the static industrial scale BNC production, since as compared to agitated bioreactors, higher productivities may be reached, while avoiding high capital and operating costs.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BNC production optimization; Culture medium depth; Low-cost substrates; Response surface methodology-central composite design; Surface area

Mesh:

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Year:  2018        PMID: 30529474     DOI: 10.1016/j.nbt.2018.12.002

Source DB:  PubMed          Journal:  N Biotechnol        ISSN: 1871-6784            Impact factor:   5.079


  5 in total

1.  Biosynthesis of exopolysaccharide from waste molasses using Pantoea sp. BCCS 001 GH: a kinetic and optimization study.

Authors:  Seyyed Vahid Niknezhad; Sedigheh Kianpour; Sina Jafarzadeh; Mohsen Alishahi; Ghasem Najafpour Darzi; Mohammad Hossein Morowvat; Younes Ghasemi; Amin Shavandi
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

2.  Statistical and Artificial Neural Network Approaches to Modeling and Optimization of Fermentation Conditions for Production of a Surface/Bioactive Glyco-lipo-peptide.

Authors:  Maurice Ekpenyong; Atim Asitok; Sylvester Antai; Bassey Ekpo; Richard Antigha; Nkpa Ogarekpe
Journal:  Int J Pept Res Ther       Date:  2020-07-22       Impact factor: 1.931

3.  Bacterial nanocellulose from agro-industrial wastes: low-cost and enhanced production by Komagataeibacter saccharivorans MD1.

Authors:  Deyaa Abol-Fotouh; Mohamed A Hassan; Hassan Shokry; Anna Roig; Mohamed S Azab; Abd El-Hady B Kashyout
Journal:  Sci Rep       Date:  2020-02-26       Impact factor: 4.379

Review 4.  Trends on the Cellulose-Based Textiles: Raw Materials and Technologies.

Authors:  Catarina Felgueiras; Nuno G Azoia; Cidália Gonçalves; Miguel Gama; Fernando Dourado
Journal:  Front Bioeng Biotechnol       Date:  2021-03-29

5.  Statistical genetics concepts in biomass-based materials engineering.

Authors:  Jordan Pennells; Darren J Martin
Journal:  Front Bioeng Biotechnol       Date:  2022-10-04
  5 in total

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