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Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors

文献类型：期刊论文

作者Mou, Junsong1,4; Ding, Jiawang2,3,4; Qin, Wei2,3,4
刊名ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
出版日期2022-12-13
页码10
ISSN号1433-7851
关键词Aptamer Biosensor Deep Learning Magnetic Fields Potentiometry
DOI10.1002/anie.202210513
通讯作者Ding, Jiawang(jwding@yic.ac.cn)
英文摘要Bioelectronic sensors that report charge changes of a biomolecule upon target binding enable direct and sensitive analyte detection but remain a major challenge for potentiometric measurement, mainly due to Debye Length limitations and the need for molecular-level platforms. Here, we report on a magneto-controlled potentiometric method to directly and sensitively measure the target-binding induced charge change of DNA aptamers assembled on magnetic beads using a polymeric membrane potentiometric ion sensor. The potentiometric responses of the negatively charged aptamer, serving as a receptor and reporter, were dynamically controlled and modulated by applying a magnetic field. Based on a potentiometric array, this non-equilibrium measurement technique combined with deep learning algorithms allows for rapidly and reliably classifying and quantifying diverse small molecules using antibiotics as models. This potentiometric strategy opens new modalities for sensing applications.
WOS关键词HEPARIN ; POLYION ; ELECTRODES
WOS研究方向Chemistry
语种英语
WOS记录号WOS:000897857500001
资助机构National Natural Science Foundation of China ; Taishan Scholar Program of Shandong Province ; Instrument Developing Project of the Chinese Academy of Sciences ; Key Development Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences
源URL[http://ir.yic.ac.cn/handle/133337/32438]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_近岸生态与环境实验室
通讯作者Ding, Jiawang
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Shandong, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao 266237, Shandong, Peoples R China
4.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Shandong Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China
推荐引用方式
GB/T 7714		 Mou, Junsong,Ding, Jiawang,Qin, Wei. Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors[J]. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION,2022:10.
APA Mou, Junsong,Ding, Jiawang,&Qin, Wei.(2022).Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors.ANGEWANDTE CHEMIE-INTERNATIONAL EDITION,10.
MLA Mou, Junsong,et al."Deep Learning-Enhanced Potentiometric Aptasensing with Magneto-Controlled Sensors".ANGEWANDTE CHEMIE-INTERNATIONAL EDITION (2022):10.

入库方式： OAI收割

来源：烟台海岸带研究所

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