Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 369126
Title A stochastic model for predicting dextrose equivalent and saccharide composition during hydrolysis of starch by alpha-amylase
Author(s) Besselink, T.; Baks, T.; Janssen, A.E.M.; Boom, R.M.
Source Biotechnology and Bioengineering 100 (2008)4. - ISSN 0006-3592 - p. 684 - 697.
DOI https://doi.org/10.1002/bit.21799
Department(s) Food Process Engineering
Onderwijsinstituut
VLAG
Publication type Refereed Article in a scientific journal
Publication year 2008
Keyword(s) monte-carlo-simulation - bacillus-licheniformis - enzymatic-hydrolysis - soluble starch - kinetic-model - potato starch - amylopectin - amylolysis - enzymes - thermostability
Abstract A stochastic model was developed that was used to describe the formation and breakdown of all saccharides involved during -amylolytic starch hydrolysis in time. This model is based on the subsite maps found in literature for Bacillus amyloliquefaciens -amylase (BAA) and Bacillus licheniformis -amylase (BLA). Carbohydrate substrates were modeled in a relatively simple two-dimensional matrix. The predicted weight fractions of carbohydrates ranging from glucose to heptasaccharides and the predicted dextrose equivalent showed the same trend and order of magnitude as the corresponding experimental values. However, the absolute values were not the same. In case a well-defined substrate such as maltohexaose was used, comparable differences between the experimental and simulated data were observed indicating that the substrate model for starch does not cause these deviations. After changing the subsite map of BLA and the ratio between the time required for a productive and a non-productive attack for BAA, a better agreement between the model data and the experimental data was observed. Although the model input should be improved for more accurate predictions, the model can already be used to gain knowledge about the concentrations of all carbohydrates during hydrolysis with an -amylase. In addition, this model also seems to be applicable to other depolymerase-based systems
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