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Optimization of panose production by enzymatic synthesis using neural networks

Paper ID Volume ID Publish Year Pages File Format Full-Text
36079 45120 2006 7 PDF Available
Title
Optimization of panose production by enzymatic synthesis using neural networks
Abstract

Panose is a trisaccharide constituted by a maltose molecule bonded to a glucose molecule by an α-1,6-glycosidic bond. This trisaccharide has the potential to be used in the food industry as a non-cariogenic sweetener and is considered a pre-biotic carbohydrate. Despite the industrial potential applications of panose, a large-scale process for its production is still not available. In this paper, the production of panose by enzymatic synthesis in a batch and a fed-batch reactor was optimized by means of the use of neural network. The optimization of panose has shown that the maximum productivity is obtained when the process is conducted in fed-batch with initial sucrose concentration S0 = 100 mmol/L, a maltose to sucrose ratio of 5.58 and a feed flow rate of 3000 L/h, yielding 35.3 g/L h of panose, which is 74% higher than the yield that can be obtained through the batch process.

Keywords
Neural network; Optimization; Panose; Enzymatic synthesis
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Publisher
Database: Elsevier - ScienceDirect
Journal: Process Biochemistry - Volume 41, Issue 5, May 2006, Pages 1090–1096
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
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