English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The present study aims at optimizing the production of Saccharomyces cerevisiae SKM10 single cell proteins (SCP) from mango waste. To optimize the production process, the effect of two independent variables was evaluated by a three-level full factorial design using response surface methodology (RSM). The parameters studied were inoculum size (2 to 12% v/v) and concentration of substrates (5 to 10 g/L). Analytical methods were used to determine yeast cell biomass, sugar and protein content in yeast. Under optimal conditions, sugar content and maximum cell dry weight attained were 15.28 and 29.85% (w/w). Optimal protein content of 79.14% (w/w) was achieved at 8% (v/v) inoculum and 8% (g/L) substrate concentration. These results have provided useful information on how to improve the production by RSM and suggested that S. cerevisiae SKM10 might be applied effectively to produce SCP using mango waste as a low-cost substrate.       Key words: Mango waste, Saccharomyces cerevisiae, bioconversion, production, single cell protein.

african journal of biotechnology

Optimization of Saccharomyces cerevisiae SKM10 single cell protein production from mango (Magnifera indica L.) waste using response surface methodology