Linked Life Data

16233880

Source:http://linkedlifedata.com/resource/pubmed/id/16233880

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2005-10-19
pubmed:abstractText
Enzymatic starch granule hydrolysis is one of the most important reactions in many industrial processes. In this work, we investigated the capacity of SdFFF to monitor the native rice starch amylolysis. In order to determine if fractogram changes observed were correlated to granule biophysical modifications which occurred during amylolysis, SdFFF separation was associated with particle size distribution analysis. The results showed that SdFFF is an effective tool to monitor amylolysis of native rice starch. SdFFF analysis was a rapid (less than 10 min), simple and specific method to follow biophysical modifications of starch granules. These results suggested many different applications such as testing series of enzymes and starches. By using sub-population sorting, SdFFF could be also used to better understand starch hydrolysis mechanisms or starch granule structure.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
0021-9673
pubmed:author
pubmed:issnType
Print
pubmed:day
4
pubmed:volume
1093
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
147-55
pubmed:dateRevised
2009-1-15
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Sedimentation field flow fractionation monitoring of rice starch amylolysis.
pubmed:affiliation
Laboratoire de Chimie Analytique et Bromatologie, Faculté de Pharmacie, Université de Limoges, 2 rue du Dr Marcland, 87025 Limoges Cedex, France.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't