Current studentsExisting staffContact us
 

Biosensors for pesticide detection: new trends

Simple item page
dc.contributor.authorSassolas, A.
dc.contributor.authorPrieto Simon, B.
dc.contributor.authorMarty, J.L.
dc.date.issued2012
dc.description.abstractDue to the large amounts of pesticides commonly used and their impact on health, prompt and accurate pesticide analy- sis is important. This review gives an overview of recent advances and new trends in biosensors for pesticide detection. Optical, electrochemical and piezoelectric biosensors have been reported based on the detection method. In this review biosensors have been classified according to the immobilized biorecognition element: enzymes, cells, antibodies and, more rarely, DNA. The use of tailor-designed biomolecules, such as aptamers and molecularly imprinted polymers, is reviewed. Artificial Neural Networks, that allow the analysis of pesticide mixtures are also presented. Recent advances in the field of nanomaterials merit special mention. The incorporation of nanomaterials provides highly sensitive sens- ing devices allowing the efficient detection of pesticides.
dc.identifier.citationAmerican Journal of Analytical Chemistry, 2012; 3(3):210-232
dc.identifier.doi10.4236/ajac.2012.33030
dc.identifier.issn2156-8251
dc.identifier.issn2156-8278
dc.identifier.urihttps://hdl.handle.net/1959.8/156072
dc.language.isoen
dc.publisherScientific Research Publishing
dc.rightsCopyright 2013 the authors and Scientific Research Publishing. This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/)
dc.source.urihttps://doi.org/10.4236/ajac.2012.33030
dc.subjectbiosensors
dc.subjectpesticides
dc.titleBiosensors for pesticide detection: new trends
dc.typeJournal article
pubs.publication-statusPublished
ror.fileinfo12143349190001831 13143348170001831 9915909518201831_53108533040001831.pdf
ror.mmsid9915909518201831

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
9915909518201831_53108533040001831.pdf
Size:
810.99 KB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections