Statistical optimization for tannase production by Aspergillus tubingensis in solid-state fermentation using tea stalks

Background: A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation. Results: First, using a Plackett–Burman design, inoculum size and incubation time (among seven tested variables) were identified as the mos...

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Bibliographic Details
Main Authors: Anfeng Xiao, Yufeng Huang, Hui Ni, Huinong Cai, Qiuming Yang
Format: Article
Language:English
Published: Elsevier 2015-05-01
Series:Electronic Journal of Biotechnology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S071734581500024X
Description
Summary:Background: A sequential statistical strategy was used to optimize tannase production from Aspergillus tubingensis using tea stalks by solid-state fermentation. Results: First, using a Plackett–Burman design, inoculum size and incubation time (among seven tested variables) were identified as the most significant factors for tannase yield. The effects of significant variables were further evaluated through a single steepest ascent experiment and central composite design with response surface analysis. Under optimal conditions, the experimental value of 84.24 units per gram of dry substrate (U/gds) closely matched the predicted value of 87.26 U/gds. Conclusions: The result of the statistical approach was 2.09 times higher than the basal medium (40.22 U/gds). The results were fitted onto a second-order polynomial model with a correlation coefficient (R2) of 0.9340, which implied an adequate credibility of the model.
ISSN:0717-3458