The interplay of α-amylase and amyloglucosidase activities on the digestion of starch in in vitro enzymic systems

Warren, Frederick J., Zhang, Bin, Waltzer, Gina, Gidley, Michael J. and Dhital, Sushil (2015) The interplay of α-amylase and amyloglucosidase activities on the digestion of starch in in vitro enzymic systems. Carbohydrate Polymers, 117 192-200. doi:10.1016/j.carbpol.2014.09.043

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Author Warren, Frederick J.
Zhang, Bin
Waltzer, Gina
Gidley, Michael J.
Dhital, Sushil
Title The interplay of α-amylase and amyloglucosidase activities on the digestion of starch in in vitro enzymic systems
Journal name Carbohydrate Polymers   Check publisher's open access policy
ISSN 0144-8617
1879-1344
Publication date 2015-03-06
Year available 2014
Sub-type Article (original research)
DOI 10.1016/j.carbpol.2014.09.043
Volume 117
Start page 192
End page 200
Total pages 9
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Language eng
Formatted abstract
In vitro hydrolysis assays are a key tool in understanding differences in rate and extent of digestion of starchy foods. They offer a greater degree of simplicity and flexibility than dynamic in vitro models or in vivo experiments for quantifiable, mechanistic exploration of starch digestion. In the present work the influence of α-amylase and amyloglucosidase activities on the digestion of maize and potato starch granules was measured using both glucose and reducing sugar assays. Data were analysed through initial rates of digestion, and by 1st order kinetics, utilising logarithm of slope (LOS) plots. The rate and extent of starch digestion was dependent on the activities of both enzymes and the type of starch used. Potato required more enzyme than maize to achieve logarithmic reaction curves, and complete digestion. The results allow targeted design of starch digestion experiments through a thorough understanding of the contributions of α-amylase and amyloglucosidase to digestion rates.
Keyword In vitro digestion
Alpha amylase
Amyloglucosidase
Kinetic analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 11 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 3 times in Scopus Article | Citations
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Created: Fri, 17 Oct 2014, 02:51:31 EST by Mr Sushil Dhital on behalf of Centre for Nutrition and Food Sciences