Literature DB >> 21952373

Optimization of tannase production by Aspergillus niger in solid-state packed-bed bioreactor.

Luis V Rodríguez-Durán1, Juan C Contreras-Esquivel, Raúl Rodríguez, L Arely Prado-Barragán, Cristóbal N Aguilar.   

Abstract

Tannin acyl hydrolase, also known as tannase, is an enzyme with important applications in the food, feed, pharmaceutical, and chemical industries. However, despite a growing interest in the catalytic properties of tannase, its practical use is very limited owing to high production costs. Several studies have already demonstrated the advantages of solid-state fermentation (SSF) for the production of fungal tannase, yet the optimal conditions for enzyme production strongly depend on the microbial strain utilized. Therefore, the aim of this study was to improve the tannase production by a locally isolated A. niger strain in an SSF system. The SSF was carried out in packed-bed bioreactors using polyurethane foam as an inert support impregnated with defined culture media. The process parameters influencing the enzyme production were identified using a Plackett–Burman design, where the substrate concentration, initial pH, and incubation temperature were determined as the most significant. These parameters were then further optimized using a Box-Behnken design. The maximum tannase production was obtained with a high tannic acid concentration (50 g/l), relatively low incubation temperature (30°C), and unique low initial pH (4.0). The statistical strategy aided in increasing the enzyme activity nearly 1.97-fold, from 4,030 to 7,955 U/l. Consequently, these findings can lead to the development of a fermentation system that is able to produce large amounts of tannase in economical, compact, and scalable reactors.

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Year:  2011        PMID: 21952373

Source DB:  PubMed          Journal:  J Microbiol Biotechnol        ISSN: 1017-7825            Impact factor:   2.351


  6 in total

1.  Modeling and optimization of tannase production with Triphala in packed bed reactor by response surface methodology, genetic algorithm, and artificial neural network.

Authors:  Subbalaxmi Selvaraj; Ramachandra Murty Vytla; G S Vijay; Kannan Natarajan
Journal:  3 Biotech       Date:  2019-06-10       Impact factor: 2.406

2.  Production, Characterization and Application of a Thermostable Tannase from Pestalotiopsis guepinii URM 7114.

Authors:  Amanda Reges de Sena; Ana Claúdia de Barros Dos Santos; Miquéas Jamesse Gouveia; Marcelo Rodrigues Figueira de Mello; Tonny Cley Campos Leite; Keila Aparecida Moreira; Sandra Aparecida de Assis
Journal:  Food Technol Biotechnol       Date:  2014-12       Impact factor: 3.918

3.  Evaluation of model parameters for growth, tannic acid utilization and tannase production in Bacillus gottheilii M2S2 using polyurethane foam blocks as support.

Authors:  Subbalaxmi Selvaraj; Ramachandra Murty Vytla
Journal:  3 Biotech       Date:  2017-08-03       Impact factor: 2.406

4.  Study of enzymatic saccharification of Agave leaves biomass to yield fermentable sugars.

Authors:  Miguel A Medina-Morales; Oscar Soto-Cruz; Juan C Contreras-Esquivel; Raúl Rodríguez-Herrera; Heliodoro De la Garza-Toledo; Cristóbal N Aguilar
Journal:  3 Biotech       Date:  2017-04-25       Impact factor: 2.893

5.  Optimization of chromium and tannic acid bioremediation by Aspergillus niveus using Plackett-Burman design and response surface methodology.

Authors:  Prachi Chaudhary; Vinod Chhokar; Pragati Choudhary; Anil Kumar; Vikas Beniwal
Journal:  AMB Express       Date:  2017-11-14       Impact factor: 3.298

6.  Co-production of gallic acid and a novel cell-associated tannase by a pigment-producing yeast, Sporidiobolus ruineniae A45.2.

Authors:  Apinun Kanpiengjai; Chartchai Khanongnuch; Saisamorn Lumyong; Dietmar Haltrich; Thu-Ha Nguyen; Suwapat Kittibunchakul
Journal:  Microb Cell Fact       Date:  2020-04-25       Impact factor: 5.328

  6 in total

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