Development, Optimization, and Scale-up of Process Parameters

Author(s):  
David Jones
Keyword(s):  
Author(s):  
Girisha Malhotra ◽  
Shilpa S. Chapadgaonkar

Abstract Background Xylanase is one of the widely applied industrial enzymes with diverse applications. Thermostability and alkali tolerance are the two most desirable qualities for industrial applications of xylanase. In this paper, we reveal the statistical Taguchi optimization strategy for maximization of xylanase production. The important process parameters pH, temperature, concentration of wheat bran, and concentration of yeast extract were optimized using the Taguchi L8 orthogonal array where the 4 factors were considered at 2 levels (high and low). Results The optimized conditions given by model were obtained as follows: (i) pH 6, (ii) culture temperature 35 °C, (iii) concentration of xylan 2% w/v, (iv) concentration of wheat bran 2.5% w/v. The production was scaled upto 2.5 L bioreactor using optimized process parameters. A high xylanase titer of 400 U/ml could be achieved in less than 60 h of culture in the reactor. Conclusion Optimization was successful in achieving about threefold increase in the yield of xylanase. The optimized conditions resulted in a successful scale up and enhancement of xylanase production.


2012 ◽  
Vol 62 (3) ◽  
pp. 199-202
Author(s):  
Kiranmala Laishram ◽  
Rekha Mann ◽  
Neelam Malhan ◽  
Ravi Gupta

2020 ◽  
Author(s):  
Elyse N. Towns ◽  
John Guo ◽  
Alexander O'Brien ◽  
Robert W. Bondi

In-line mid-infrared spectroscopy (FTIR) was used to monitor a reaction which had a highly inconsistent rate due to sensitivity to changes in process parameters and the quality of the starting materials. Accurate determination of the endpoint in real time was needed to prevent formation of an impurity by degradation of the product. A moving window t-test algorithm was used to predict and determine the endpoint by analysis of FTIR trends during the reaction. The method was selected because it determined the endpoint in the correct range for reactions with different process parameters and data collected with different FTIR instruments. During development, the FTIR and t-test algorithm were used to monitor reactions for feasibility studies, process optimization, use tests, robustness DoE, and scale up to pilot plant. The method for monitoring the reaction may be useful in a GMP manufacturing environment where sampling and analysis are time consuming. <br>


Author(s):  
Timothy J. Smith ◽  
Gary Sackett ◽  
Paul Sheskey ◽  
Lirong Liu

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