Optimisation of biomass, exopolysaccharide and intracellular polysaccharide production from the mycelium of an identified strain QRS 5120 using response surface methodology.

Clicks: 372
ID: 46996
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #2 of 31 articles by views in aims microbiology

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Wild-cultivated medicinal mushroom was morphologically identified and sequenced using phylogenetic software. In submerged-liquid fermentation (SLF), biomass, exopolysaccharide (EPS) and intracellular polysaccharide (IPS) production of the identified was optimised based on initial pH, starting glucose concentration and agitation rate parameters using response surface methodology (RSM). Molecularly, the strain QRS 5120 generated 637 base pairs, which was commensurate with related species. In RSM, by applying central composite design (CCD), a polynomial model was fitted to the experimental data and was found to be significant in all parameters investigated. The strongest effect ( < 0.0001) was observed for initial pH for biomass, EPS and IPS production, while agitation showed a significant value ( < 0.005) for biomass. By applying the optimized conditions, the model was validated and generated 5.12 g/L of biomass (initial pH 4.01, 32.09 g/L of glucose and 102 rpm), 2.49 g/L EPS (initial pH 4, 24.25 g/L of glucose and 110 rpm) and 1.52 g/L of IPS (and initial pH 4, 40.43 g/L of glucose, 103 rpm) in 500 mL shake flask fermentation. The optimized parameters can be upscaled for efficient biomass, EPS and IPS production using .
Reference Key
supramani2019optimisationaims Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Supramani, Sugenendran;Ahmad, Rahayu;Ilham, Zul;Annuar, Mohamad Suffian Mohamad;Klaus, Anita;Wan-Mohtar, Wan Abd Al Qadr Imad;
Journal aims microbiology
Year 2019
DOI
10.3934/microbiol.2019.1.19
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.