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Article: Molecular imprinting technology for microorganism analysis

TitleMolecular imprinting technology for microorganism analysis
Authors
KeywordsAnalytical detection
Biosensor
Identification
Microorganism
Molecular imprinting
Issue Date2018
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/trac
Citation
Trends in Analytical Chemistry, 2018, v. 106, p. 190-201 How to Cite?
AbstractMolecular imprinting technology has been widely applied to various fields, owing to unique features of structure predictability, recognition specificity and application universality. Microorganism imprinting has attracted significant interests attributing to the high selectivity, simplicity rapidity, and excellent stability as well as low cost and eco-friendliness. Herein, we purpose to review the recent advances of MIT for microorganism analysis, concerning imprinting methods, analytical detection methods and typical applications. Various imprinting methods including direct and indirect imprinting for microorganism-MIPs preparation are comprehensively summarized. MIPs based biosensors containing fluorescence, electrochemical, piezoelectric and surface plasmon resonance for analytical detection of microorganisms is highlighted. Representative applications of microbiological imprinting are discussed, involving detection and quantification of bacteria, identification of bacterial species, and determination of yeast growth status. Finally, we propose the remaining challenges and future perspectives to accelerate the development and utilization of MIT in microorganism analysis and thereby push forwards microorganism identification and determination.
Persistent Identifierhttp://hdl.handle.net/10722/259995
ISSN
2020 Impact Factor: 12.296
2020 SCImago Journal Rankings: 2.283
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJia, MF-
dc.contributor.authorZhang, Z-
dc.contributor.authorLi, JH-
dc.contributor.authorMa, X-
dc.contributor.authorChen, LX-
dc.contributor.authorYang, XB-
dc.date.accessioned2018-09-03T04:22:43Z-
dc.date.available2018-09-03T04:22:43Z-
dc.date.issued2018-
dc.identifier.citationTrends in Analytical Chemistry, 2018, v. 106, p. 190-201-
dc.identifier.issn0165-9936-
dc.identifier.urihttp://hdl.handle.net/10722/259995-
dc.description.abstractMolecular imprinting technology has been widely applied to various fields, owing to unique features of structure predictability, recognition specificity and application universality. Microorganism imprinting has attracted significant interests attributing to the high selectivity, simplicity rapidity, and excellent stability as well as low cost and eco-friendliness. Herein, we purpose to review the recent advances of MIT for microorganism analysis, concerning imprinting methods, analytical detection methods and typical applications. Various imprinting methods including direct and indirect imprinting for microorganism-MIPs preparation are comprehensively summarized. MIPs based biosensors containing fluorescence, electrochemical, piezoelectric and surface plasmon resonance for analytical detection of microorganisms is highlighted. Representative applications of microbiological imprinting are discussed, involving detection and quantification of bacteria, identification of bacterial species, and determination of yeast growth status. Finally, we propose the remaining challenges and future perspectives to accelerate the development and utilization of MIT in microorganism analysis and thereby push forwards microorganism identification and determination.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/trac-
dc.relation.ispartofTrends in Analytical Chemistry-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAnalytical detection-
dc.subjectBiosensor-
dc.subjectIdentification-
dc.subjectMicroorganism-
dc.subjectMolecular imprinting-
dc.titleMolecular imprinting technology for microorganism analysis-
dc.typeArticle-
dc.identifier.emailZhang, Z: zzhang01@hku.hk-
dc.description.naturepostprint-
dc.identifier.doi10.1016/j.trac.2018.07.011-
dc.identifier.scopuseid_2-s2.0-85050735812-
dc.identifier.hkuros289157-
dc.identifier.volume106-
dc.identifier.spage190-
dc.identifier.epage201-
dc.identifier.isiWOS:000443258600015-
dc.publisher.placeNetherlands-
dc.identifier.issnl0165-9936-

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