Molecular imprinting technology for microorganism analysis
文献类型:期刊论文
作者 | Jia, Mengfan; Zhang, Zhong; Li, Jinhua![]() ![]() |
刊名 | TRAC-TRENDS IN ANALYTICAL CHEMISTRY
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出版日期 | 2018-09 |
卷号 | 106页码:190-201 |
关键词 | Analytical detection Identification Microorganism Molecular imprinting Biosensor |
ISSN号 | 0165-9936 |
DOI | 10.1016/j.trac.2018.07.011 |
产权排序 | [Jia, Mengfan ; Zhang, Zhong ; Ma, Xin ; Yang, Xingbin] Shaanxi Normal Univ, Coll Food Engn & Nutr Sci, Shaanxi Engn Lab Food Green Proc & Safety Control, Xian 710119, Shaanxi, Peoples R China ; [Li, Jinhua ; Chen, Lingxin] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res Ctr Coastal Environm Engn & Technol, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China ; [Zhang, Zhong] Univ Hong Kong, Li Ka Shing Fac Med, Sch Chinese Med, 10 Sassoon Rd, Pokfulam, Hong Kong, Peoples R China ; [Chen, Lingxin] Yantai Univ, Coll Chem & Chem Engn, Yantai 264005, Peoples R China |
文献子类 | Review |
英文摘要 | 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. (C) 2018 Elsevier B.V. All rights reserved. |
WOS关键词 | SURFACE-PLASMON RESONANCE ; CRYSTAL MICROBALANCE SENSORS ; FLUORESCENT NANOPARTICLES ; QCM SENSOR ; BACTERIA DETECTION ; VIRUS DETECTION ; QUANTUM DOTS ; CANCER-CELLS ; THIN-FILMS ; RECOGNITION |
WOS研究方向 | Chemistry, Analytical |
语种 | 英语 |
WOS记录号 | WOS:000443258600015 |
资助机构 | National Natural Science Foundation of China [31701705, 31671823, 21477160, 21575159] ; Hong Kong Scholars Program [XJ2017060] ; Shanxi Province Agricultural Science and Technology Innovation and Key Project [2016NY-181] ; Key Laboratory of Coastal Environmental Processes and Ecological Remediation [2018KFJJ01] ; Fundamental Research Funds for the Central Universities in China [GK201803084] |
源URL | [http://ir.yic.ac.cn/handle/133337/24518] ![]() |
专题 | 烟台海岸带研究所_山东省海岸带环境工程技术研究中心 烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室 |
作者单位 | 1.Shaanxi Normal Univ, Coll Food Engn & Nutr Sci, Shaanxi Engn Lab Food Green Proc & Safety Control, Xian 710119, Shaanxi, Peoples R China; 2.Univ Hong Kong, Li Ka Shing Fac Med, Sch Chinese Med, 10 Sassoon Rd, Pokfulam, Hong Kong, Peoples R China; 3.Yantai Univ, Coll Chem & Chem Engn, Yantai 264005, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Res Ctr Coastal Environm Engn & Technol, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; |
推荐引用方式 GB/T 7714 | Jia, Mengfan,Zhang, Zhong,Li, Jinhua,et al. Molecular imprinting technology for microorganism analysis[J]. TRAC-TRENDS IN ANALYTICAL CHEMISTRY,2018,106:190-201. |
APA | Jia, Mengfan,Zhang, Zhong,Li, Jinhua,Ma, Xin,Chen, Lingxin,&Yang, Xingbin.(2018).Molecular imprinting technology for microorganism analysis.TRAC-TRENDS IN ANALYTICAL CHEMISTRY,106,190-201. |
MLA | Jia, Mengfan,et al."Molecular imprinting technology for microorganism analysis".TRAC-TRENDS IN ANALYTICAL CHEMISTRY 106(2018):190-201. |
入库方式: OAI收割
来源:烟台海岸带研究所
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