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Related Concept Videos

Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Related Experiment Video

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Ethanol production from sweet sorghum bagasse through process optimization using response surface methodology.

Saida Lavudi1,2, Harinder Singh Oberoi3,4, Lakshmi Narasu Mangamoori5

  • 1ICAR-Central Institute of Post Harvest Engineering and Technology, Ludhiana, India. yrvlm.chidepudi@gmail.com.

3 Biotech
|July 10, 2017
PubMed
Summary

Alkali pretreatment of sweet sorghum bagasse (SSB) enhances sugar production via enzymatic hydrolysis. Optimized conditions yielded high glucose and xylose concentrations, with simultaneous saccharification and fermentation (SSF) showing higher ethanol productivity.

Keywords:
Pichia kudriavzevii HOP-1Response surface methodology (RSM)Separate hydrolysis and fermentationSimultaneous saccharification and fermentation (SSF)Sweet sorghum bagasse (SSB)

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Area of Science:

  • Biotechnology and Bioengineering
  • Renewable Energy
  • Biomass Conversion

Background:

  • Sweet sorghum bagasse (SSB) is a promising lignocellulosic feedstock for biofuel production.
  • Efficient pretreatment methods are crucial for maximizing sugar yields from SSB prior to enzymatic hydrolysis.
  • Acid and alkali pretreatments are common methods, each with distinct impacts on biomass structure and sugar release.

Purpose of the Study:

  • To comparatively evaluate acid and alkali pretreatment of SSB for enhanced sugar production.
  • To optimize pretreatment and enzymatic hydrolysis parameters using Response Surface Methodology (RSM).
  • To assess ethanol production efficiency using simultaneous saccharification fermentation (SSF) and separated hydrolysis and fermentation (SHF).

Main Methods:

  • Comparative analysis of acid and alkali pretreatment of SSB.
  • Optimization of alkali pretreatment (alkali concentration, temperature, time) using RSM.
  • Optimization of enzymatic hydrolysis (substrate concentration, incubation time, temperature, enzyme loading) using RSM.
  • Evaluation of SSF and SHF for ethanol production using Pichia kudriavzevii HOP-1.

Main Results:

  • Alkali pretreatment of SSB resulted in significantly higher glucose, xylose, and arabinose yields compared to acid pretreatment.
  • Optimized alkali pretreatment and enzymatic hydrolysis achieved glucose and xylose concentrations of 57.24 g/L and 10.14 g/L, respectively.
  • Further optimization yielded a glucose concentration of 68.58 g/L under specific enzymatic hydrolysis conditions.
  • SSF demonstrated higher ethanol productivity than SHF, although ethanol concentrations were comparable.

Conclusions:

  • Alkali pretreatment is superior to acid pretreatment for enhancing sugar production from SSB.
  • RSM effectively optimized both pretreatment and enzymatic hydrolysis parameters for maximizing sugar yields.
  • The optimized process provides a viable platform for scale-up studies in bioethanol production from SSB.