Emerging Data Processing Methods for Single-Entity Electrochemistry.
Angew Chem Int Ed Engl
; 63(17): e202316551, 2024 Apr 22.
Article
en En
| MEDLINE
| ID: mdl-38411372
ABSTRACT
Single-entity electrochemistry is a powerful tool that enables the study of electrochemical processes at interfaces and provides insights into the intrinsic chemical and structural heterogeneities of individual entities. Signal processing is a critical aspect of single-entity electrochemical measurements and can be used for data recognition, classification, and interpretation. In this review, we summarize the recent five-year advances in signal processing techniques for single-entity electrochemistry and highlight their importance in obtaining high-quality data and extracting effective features from electrochemical signals, which are generally applicable in single-entity electrochemistry. Moreover, we shed light on electrochemical noise analysis to obtain single-molecule frequency fingerprint spectra that can provide rich information about the ion networks at the interface. By incorporating advanced data analysis tools and artificial intelligence algorithms, single-entity electrochemical measurements would revolutionize the field of single-entity analysis, leading to new fundamental discoveries.
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1
Base de datos:
MEDLINE
Idioma:
En
Revista:
Angew Chem Int Ed Engl
/
Angew. Chem. (Int. ed., Internet)
/
Angewandte Chemie (International ed. Internet)
Año:
2024
Tipo del documento:
Article