Modern Potentiometric Biosensing Based on Non-Equilibrium Measurement Techniques
Mou, Junsong1,4; Ding, Jiawang1,2,3; Qin, Wei1,2,3
发表期刊CHEMISTRY-A EUROPEAN JOURNAL
ISSN0947-6539
2023-10-31
页码9
关键词bioreceptors dynamic responses machine learning non-equilibrium measurements potentiometric biosensing
DOI10.1002/chem.202302647
通讯作者Ding, Jiawang([email protected])
英文摘要Modern potentiometric sensors based on polymeric membrane ion-selective electrodes (ISEs) have achieved new breakthroughs in sensitivity, selectivity, and stability and have extended applications in environmental surveillance, medical diagnostics, and industrial analysis. Moreover, nonclassical potentiometry shows promise for many applications and opens up new opportunities for potentiometric biosensing. Here, we aim to provide a concept to summarize advances over the past decade in the development of potentiometric biosensors with polymeric membrane ISEs. This Concept article articulates sensing mechanisms based on non-equilibrium measurement techniques. In particular, we emphasize new trends in potentiometric biosensing based on attractive dynamic approaches. Representative examples are selected to illustrate key applications under zero-current conditions and stimulus-controlled modes. More importantly, fruitful information obtained from non-equilibrium measurements with dynamic responses can be useful for artificial intelligence (AI). The combination of ISEs with advanced AI techniques for effective data processing is also discussed. We hope that this Concept will illustrate the great possibilities offered by non-equilibrium measurement techniques and AI in potentiometric biosensing and encourage further innovations in this exciting field. The introduction of bioreceptors, new sensing concepts, and a deeper theoretical understanding of the potentiometric responses of ISEs encourages innovations in potentiometric biosensing applications. Dynamic responses based on non-equilibrium measurement techniques under zero-current conditions and stimulus-controlled modes offer fruitful information that can be automatically analyzed by artificial intelligence technology.image
资助机构This work was supported by the National Natural Science Foundation of China (22174160, 41876108 and U2006208); the Taishan Scholar Program of Shandong Province (tspd20181215, tsqn201909163), the Special Fund for the Scholar Program of Yantai and Shandong P ; National Natural Science Foundation of China ; Taishan Scholar Program of Shandong Province ; Special Fund for the Scholar Program of Yantai ; Shandong Province ; Key Development Project of Centre for Ocean Mega-Research of Science, Chinese Academy of Sciences
收录类别SCI
语种英语
关键词[WOS]ION-SELECTIVE ELECTRODES ; LABEL-FREE DETECTION ; MEMBRANE ELECTRODES ; DETECTION LIMIT ; SOLID-CONTACT ; BULK OPTODES ; SENSOR ; PROTAMINE
研究领域[WOS]Chemistry
WOS记录号WOS:001090100900001
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cn/handle/133337/33286
专题中国科学院海岸带环境过程与生态修复重点实验室
中国科学院海岸带环境过程与生态修复重点实验室_海岸带环境过程实验室
通讯作者Ding, Jiawang
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res YIC, YICCAS, CAS Key Lab Coastal Environm Proc & Ecol Remediat,, Yantai 264003, Shandong, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266237, Shandong, Peoples R China
3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Shandong, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
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Mou, Junsong,Ding, Jiawang,Qin, Wei. Modern Potentiometric Biosensing Based on Non-Equilibrium Measurement Techniques[J]. CHEMISTRY-A EUROPEAN JOURNAL,2023:9.
APA Mou, Junsong,Ding, Jiawang,&Qin, Wei.(2023).Modern Potentiometric Biosensing Based on Non-Equilibrium Measurement Techniques.CHEMISTRY-A EUROPEAN JOURNAL,9.
MLA Mou, Junsong,et al."Modern Potentiometric Biosensing Based on Non-Equilibrium Measurement Techniques".CHEMISTRY-A EUROPEAN JOURNAL (2023):9.
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