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Related Experiment Video

Updated: May 17, 2026

Customization of Aspergillus niger Morphology Through Addition of Talc Micro Particles
10:51

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Published on: March 15, 2012

Statistical optimization for tannase production from Aspergillus niger under submerged fermentation.

S Sharma1, L Agarwal, R K Saxena

  • 1Department of Microbiology, University of Delhi South Campus, Benito Juarez Road, New Delhi, 110 021 India.

Indian Journal of Microbiology
|October 27, 2012
PubMed
Summary

Optimization of Aspergillus niger fermentation conditions using response surface methodology (RSM) significantly increased tannase enzyme production. The study identified key factors and achieved nearly double the enzyme yield compared to traditional methods.

Keywords:
Aspergillus nigerFermentationResponse surface methodologyStatistical analysisTannase

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Area of Science:

  • Biotechnology
  • Enzyme Engineering
  • Microbial Fermentation

Background:

  • Tannase enzyme production is crucial for various industrial applications.
  • Optimization of fermentation conditions is essential for maximizing enzyme yield.
  • Aspergillus niger is a well-established microbial source for tannase production.

Purpose of the Study:

  • To optimize submerged fermentation conditions for enhanced tannase production from Aspergillus niger.
  • To identify and study the interaction of key factors influencing tannase yield.
  • To compare the efficiency of statistically based experimental design with traditional methods.

Main Methods:

  • Utilized response surface methodology (RSM) with central composite rotatable design (CCRD) for experimental design.
  • Investigated the influence of tannic acid concentration, sodium nitrate concentration, agitation rate, and incubation period.
  • Determined optimal fermentation parameters including pH, inoculum density, agitation speed, and incubation time.

Main Results:

  • RSM identified optimal conditions: 5% tannic acid, 0.8% sodium nitrate, pH 5.0, 5 × 10(7) spores/50mL inoculum, 150 rpm agitation, and 48 h incubation.
  • Achieved a maximum tannase production of 19.7 U/mL under optimized conditions.
  • The optimized method resulted in nearly double the enzyme activity compared to the 'one-at-a-time' approach (9.8 U/mL).

Conclusions:

  • Statistically based experimental design, specifically RSM, is highly effective for optimizing fermentation processes.
  • The identified optimal conditions significantly enhance tannase production in Aspergillus niger.
  • This study provides a robust methodology for maximizing enzyme yield through controlled fermentation parameters.