Linked Life Data

11045485

Source:http://linkedlifedata.com/resource/pubmed/id/11045485

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2001-1-22
pubmed:abstractText
The present review highlights some modern aspects of biosensor revelation, a detection method which has already found a large number of applications in healthcare, food industry and environmental analysis. First, the concept of bio-recognition, which is at the heart of biosensor technology, is discussed, with emphasis on host-guest-like recognition mechanisms. This detection device has been successfully coupled, in its first applications, to chromatographic columns, which allow a high resolution of complex mixtures of analytes prior to interaction with the biosensing unit. The properties of the transducing elements, which should generate a signal (e.g., electrochemical, thermal, acoustic, optical) of proper intensity and of relative fast rise, are additionally evaluated and discussed. The review then focuses on potential applications of biosensing units in capillary electrophoresis (CE) devices. CE appears to be an excellent separation methodology to be coupled to biosensor detection, since it is based on miniaturized electrophoretic chambers, fast analysis times, complete automation in sample handling and data treatment and requires extremely small sample volumes. Although only a few applications of CE-based biosensors have been described up to the present, it is anticipated that this hyphenated technique could have a considerable expansion in the coming years.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0021-9673
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
892
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
143-53
pubmed:dateRevised
2009-1-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Capillary electrophoresis coupled to biosensor detection.
pubmed:affiliation
University of Verona, Department of Agricultural and Industrial Biotechnologies, Italy. bossi@sci.univr.it
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't