Literature DB >> 17995779

Optimization of the fermentation medium for alpha-galactosidase production from Aspergillus foetidus ZU-G1 using response surface methodology.

Caiquin Liu1, Hui Ruan, Huafeng Shen, Qihe Chen, Bing Zhou, Yi Li, Guoqing He.   

Abstract

The optimization of fermentation medium for alpha-galactosidase production by Aspergillus foetidus ZU-G1 was investigated in shaker flask fermentation. A one-factor-at-a-time experiment was used to screen the preferable nutriment (carbon sources, nitrogen sources, and essential elements) for alpha-galactosidase production. A fractional factorial design was used to screen the main 5 factors, soybean meal, wheat bran, KH2PO4, FeSO4 x 7 H2O, and the medium initial pH, that affected the production of alpha-galactosidase. The central composite experimental design was further adopted to derive a statistical model for optimizing the composition of the fermentation medium. The experimental results showed that the optimum fermentation medium for alpha-galactosidase production by Aspergillus foetidus ZU-G1 was composed of 3.2% soybean meal (w/v), 2% wheat bran (w/v), 0.1% KH2PO4 (w/v), and 0.05% FeSO4 x 7 H2O (w/v); initial medium pH was 6.31. The results further predicted that alpha-galactosidase activity reached 64.75 U/mL after 96-h incubation in this medium, which was approximately 7 times higher than that incubated in the nonoptimized medium. The time course of alpha-galactosidase production in the optimized medium composition was also carried out to validate the model.

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Year:  2007        PMID: 17995779     DOI: 10.1111/j.1750-3841.2007.00328.x

Source DB:  PubMed          Journal:  J Food Sci        ISSN: 0022-1147            Impact factor:   3.167


  5 in total

1.  Optimization of nutritional components of medium by response surface methodology for enhanced production of lactase.

Authors:  T C Venkateswarulu; K Vidya Prabhakar; R Bharath Kumar
Journal:  3 Biotech       Date:  2017-06-30       Impact factor: 2.406

2.  Role of feed forward neural networks coupled with genetic algorithm in capitalizing of intracellular alpha-galactosidase production by Acinetobacter sp.

Authors:  Sirisha Edupuganti; Ravichandra Potumarthi; Thadikamala Sathish; Lakshmi Narasu Mangamoori
Journal:  Biomed Res Int       Date:  2014-08-31       Impact factor: 3.411

3.  Response surface methodology-based optimization of production media and purification of α-galactosidase in solid-state fermentation by Fusarium moniliforme NCIM 1099.

Authors:  Sanjivani B Gajdhane; Prashant K Bhagwat; Padma B Dandge
Journal:  3 Biotech       Date:  2016-12-09       Impact factor: 2.406

4.  Optimization and partial purification of beta-galactosidase production by Aspergillus niger isolated from Brazilian soils using soybean residue.

Authors:  Raquel Dall'Agnol Martarello; Luana Cunha; Samuel Leite Cardoso; Marcela Medeiros de Freitas; Damaris Silveira; Yris Maria Fonseca-Bazzo; Mauricio Homem-de-Mello; Edivaldo Ximenes Ferreira Filho; Pérola Oliveira Magalhães
Journal:  AMB Express       Date:  2019-06-10       Impact factor: 3.298

5.  Optimization of Saccharomyces cerevisiae α-galactosidase production and application in the degradation of raffinose family oligosaccharides.

Authors:  María-Efigenia Álvarez-Cao; María-Esperanza Cerdán; María-Isabel González-Siso; Manuel Becerra
Journal:  Microb Cell Fact       Date:  2019-10-10       Impact factor: 5.328

  5 in total

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