Modern Potentiometric Biosensing Based on Non-Equilibrium Measurement Techniques

被引:3
|
作者
Mou, Junsong [1 ,4 ]
Ding, Jiawang [1 ,2 ,3 ]
Qin, Wei [1 ,2 ,3 ]
机构
[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
基金
中国国家自然科学基金;
关键词
bioreceptors; dynamic responses; machine learning; non-equilibrium measurements; potentiometric biosensing; ION-SELECTIVE ELECTRODES; LABEL-FREE DETECTION; MEMBRANE ELECTRODES; DETECTION LIMIT; SOLID-CONTACT; BULK OPTODES; SENSOR; PROTAMINE;
D O I
10.1002/chem.202302647
中图分类号
O6 [化学];
学科分类号
0703 ;
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
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页数:9
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