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Identification of Cell Status via Simultaneous Multitarget Imaging Using Programmable Scanning Electrochemical Microscopy
Author(s) -
Xin Ning,
Tao Wu,
Qiang Xiong,
Fan Zhang,
Pingang He
Publication year - 2020
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.0c02457
Subject(s) - scanning electrochemical microscopy , chemistry , microscopy , waveform , signal (programming language) , electrochemistry , electrode , biomedical engineering , optics , voltage , computer science , electrical engineering , physics , programming language , engineering , medicine
A programmable multitarget-response electrochemical imaging technique was presented using scanning electrochemical microscopy (SECM) combined with a self-designed waveform. The potential waveform applied to the tip decreased the charging current caused by the potential switch, enhancing the signal-to-noise ratio. This programmable SECM (P-SECM) method was used to scan a metal strip for verifying its feasibility in feedback mode. Since it could achieve simultaneous multitarget imaging during one single imaging process, PC12 cells status was imaged and identified through three different molecules (FcMeOH, Ru(NH 3 ) 6 3+ , and oxygen). The FcMeOH image eliminated the error from cell height, and the Ru(NH 3 ) 6 3+ image verified the change of membrane permeability. Moreover, the oxygen image demonstrated the bioactivity of the cell via its intensity of respiration. Combining information from these three molecules, the cell status could be determined accurately and also the error caused by time consumption with multiple scans in traditional SECM was eliminated.

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