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Article: Molecular imprinting technology for microorganism analysis
Title | Molecular imprinting technology for microorganism analysis |
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Authors | |
Keywords | Analytical detection Biosensor Identification Microorganism Molecular imprinting |
Issue Date | 2018 |
Publisher | Elsevier 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? |
Abstract | Molecular 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 Identifier | http://hdl.handle.net/10722/259995 |
ISSN | 2023 Impact Factor: 11.8 2023 SCImago Journal Rankings: 2.108 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Jia, MF | - |
dc.contributor.author | Zhang, Z | - |
dc.contributor.author | Li, JH | - |
dc.contributor.author | Ma, X | - |
dc.contributor.author | Chen, LX | - |
dc.contributor.author | Yang, XB | - |
dc.date.accessioned | 2018-09-03T04:22:43Z | - |
dc.date.available | 2018-09-03T04:22:43Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Trends in Analytical Chemistry, 2018, v. 106, p. 190-201 | - |
dc.identifier.issn | 0165-9936 | - |
dc.identifier.uri | http://hdl.handle.net/10722/259995 | - |
dc.description.abstract | Molecular 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.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/trac | - |
dc.relation.ispartof | Trends in Analytical Chemistry | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Analytical detection | - |
dc.subject | Biosensor | - |
dc.subject | Identification | - |
dc.subject | Microorganism | - |
dc.subject | Molecular imprinting | - |
dc.title | Molecular imprinting technology for microorganism analysis | - |
dc.type | Article | - |
dc.identifier.email | Zhang, Z: zzhang01@hku.hk | - |
dc.description.nature | postprint | - |
dc.identifier.doi | 10.1016/j.trac.2018.07.011 | - |
dc.identifier.scopus | eid_2-s2.0-85050735812 | - |
dc.identifier.hkuros | 289157 | - |
dc.identifier.volume | 106 | - |
dc.identifier.spage | 190 | - |
dc.identifier.epage | 201 | - |
dc.identifier.isi | WOS:000443258600015 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0165-9936 | - |