Literature DB >> 26658984

Enhancement and modeling of microparticle-added Rhizopus oryzae lactic acid production.

Hasan Bugra Coban1, Ali Demirci2,3.   

Abstract

Lactic acid has a wide industrial application area and can be produced by fungal strains. However, excessive bulk growth form of fungi during the fermentations is a major problem, which limits the fermentation performance. Microparticles are excellent tools to prevent bulk fungal growth and provide homogenized fermentation broth to increase uniformity and the prediction performance of the models. Therefore, in this study, addition of aluminum oxide and talcum microparticles into fermentations was evaluated to enhance the production of lactic acid by Rhizopus oryzae. The results showed that the bulk fungal growth was prevented and the lactic acid concentration increased from 6.02 to 13.88 and 24.01 g/L, when 15 g/L of aluminum oxide or 10 g/L of talcum was used, respectively, in the shake-flask fermentations. Additionally, substrate concentration, pH, and agitation were optimized in the bioreactors using response surface methodology, and optimum values were determined as 126 g/L of glucose, 6.22 pH, and 387 rpm, respectively. Under these conditions, lactic acid production further increased to 75.1 ± 1.5 g/L with 10 g/L of talcum addition. Also, lactic acid production and glucose consumption in the batch fermentation were successfully modeled with modified Gompertz model and modified logistic model. RMSE and MAE values for lactic acid production were calculated as 2.279 and 1.498 for the modified Gompertz model; 3.6 and 4.056 for the modified logistic model. Additionally, modified logistic model predicted glucose consumption with -2.088 MAE and 2.868 RMSE, whereas these values were calculated as 2.035 and 3.946 for the modified Gompertz model.

Entities:  

Keywords:  Lactic acid fermentation; Microparticle; Modeling; Optimization; Rhizopus oryzae

Mesh:

Substances:

Year:  2015        PMID: 26658984     DOI: 10.1007/s00449-015-1518-0

Source DB:  PubMed          Journal:  Bioprocess Biosyst Eng        ISSN: 1615-7591            Impact factor:   3.210


  7 in total

1.  An optimized fed-batch culture strategy integrated with a one-step fermentation improves L-lactic acid production by Rhizopus oryzae.

Authors:  Yongqian Fu; Xiaolong Sun; Huayue Zhu; Ru Jiang; Xi Luo; Longfei Yin
Journal:  World J Microbiol Biotechnol       Date:  2018-05-21       Impact factor: 3.312

2.  Effect of different fermentation strategies on β-mannanase production in fed-batch bioreactor system.

Authors:  Mustafa Germec; Ercan Yatmaz; Ercan Karahalil; İrfan Turhan
Journal:  3 Biotech       Date:  2017-04-28       Impact factor: 2.406

3.  Microparticle-enhanced polygalacturonase production by wild type Aspergillus sojae.

Authors:  Ercan Karahalil; Fadime Demirel; Ezgi Evcan; Mustafa Germeç; Canan Tari; Irfan Turhan
Journal:  3 Biotech       Date:  2017-10-03       Impact factor: 2.406

Review 4.  Modern morphological engineering techniques for improving productivity of filamentous fungi in submerged cultures.

Authors:  Anna Antecka; Marcin Bizukojc; Stanislaw Ledakowicz
Journal:  World J Microbiol Biotechnol       Date:  2016-10-07       Impact factor: 3.312

5.  Morphological evolution of various fungal species in the presence and absence of aluminum oxide microparticles: Comparative and quantitative insights into microparticle-enhanced cultivation (MPEC).

Authors:  Anna Kowalska; Tomasz Boruta; Marcin Bizukojć
Journal:  Microbiologyopen       Date:  2018-03-05       Impact factor: 3.139

6.  Co-cultivation of filamentous microorganisms in the presence of aluminum oxide microparticles.

Authors:  Tomasz Boruta; Anna Antecka
Journal:  Appl Microbiol Biotechnol       Date:  2022-07-30       Impact factor: 5.560

7.  Effects of Cotton Seed Powder as the Seed Medium Nitrogen Source on the Morphology and Pneumocandin B0 Yield of Glarea lozoyensis.

Authors:  Ping Song; Kai Yuan; Xiao-Jun Ji; Lu-Jing Ren; Sen Zhang; Jian-Ping Wen; He Huang
Journal:  Front Microbiol       Date:  2018-10-10       Impact factor: 5.640

  7 in total

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