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Biosensors Based on Aptamers and Enzymes

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Attention for Chapter 225: Advances in Aptamer Screening and Small Molecule Aptasensors.
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Chapter title
Advances in Aptamer Screening and Small Molecule Aptasensors.
Chapter number 225
Book title
Biosensors Based on Aptamers and Enzymes
Published in
Advances in biochemical engineering biotechnology, July 2013
DOI 10.1007/10_2013_225
Pubmed ID
Book ISBNs
978-3-64-254142-1, 978-3-64-254143-8
Authors

Kim YS, Gu MB, Yeon Seok Kim, Man Bock Gu, Kim, Yeon Seok, Gu, Man Bock

Abstract

It has been 20 years since aptamer and SELEX (systematic evolution of ligands by exponential enrichment) were described independently by Andrew Ellington and Larry Gold. Based on the great advantages of aptamers, there have been numerous isolated aptamers for various targets that have actively been applied as therapeutic and analytical tools. Over 2,000 papers related to aptamers or SELEX have been published, attesting to their wide usefulness and the applicability of aptamers. SELEX methods have been modified or re-created over the years to enable aptamer isolation with higher affinity and selectivity in more labor- and time-efficient manners, including automation. Initially, most of the studies about aptamers have focused on the protein targets, which have physiological functions in the body, and their applications as therapeutic agents or receptors for diagnostics. However, aptamers for small molecules such as organic or inorganic compounds, drugs, antibiotics, or metabolites have not been studied sufficiently, despite the ever-increasing need for rapid and simple analytical methods for various chemical targets in the fields of medical diagnostics, environmental monitoring, food safety, and national defense against targets including chemical warfare. This review focuses on not only recent advances in aptamer screening methods but also its analytical application for small molecules.

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Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Chile 1 <1%
China 1 <1%
Russia 1 <1%
United States 1 <1%
Unknown 123 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 25%
Researcher 27 21%
Student > Master 18 14%
Student > Bachelor 14 11%
Student > Postgraduate 6 5%
Other 13 10%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 25%
Chemistry 18 14%
Biochemistry, Genetics and Molecular Biology 15 12%
Engineering 10 8%
Materials Science 4 3%
Other 22 17%
Unknown 28 22%