Literature DB >> 30618235

Simultaneous Electrochemical and Emission Monitoring of Electrogenerated Chemiluminescence through Instrument Hyphenation.

Andrew S Danis1, Jesse B Gordon1, Karlie P Potts1, Lisa I Stephens1, Samuel C Perry1, Janine Mauzeroll1.   

Abstract

One of the long-standing challenges to performing electrogenerated chemiluminescence (ECL) research is the need for dedicated instrumentation or highly customized cells to achieve reproducibility. This manuscript describes an approach to designing ECL systems through the hyphenation of existing laboratory instruments, which provide innate time correlation of electrochemical and emission data. This design methodology lowers the entry barrier required to obtaining reproducible ECL measurements and provides flexibility in the scope of applications. Uniquely, the simplicity of this system's experimental interface, a spectrochemical quartz cuvette, readily enables collaboration with finite element modeling that simulates ECL occurring in the cuvette-based cell. This combination of empirical and simulation data allowed for the investigation of the intertwined kinetics behind the coreactant ECL mechanism of tris(2,2'-bipyridine)ruthenium(II) (Ru(bpy)32+) and tripropylamine (TPA). The complexity of the system measurable via the hyphenation methodology was further scaled though the addition of tris[2-(4,6-difluorophenyl)pyridinato-C2, N] iridium(III) (Ir(dFppy)3) and the observation of real time multiplexing.

Entities:  

Year:  2019        PMID: 30618235     DOI: 10.1021/acs.analchem.8b04960

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

1.  Electrochemiluminescence Mechanisms Investigated with Smartphone-Based Sensor Data Modeling, Parameter Estimation and Sensitivity Analysis.

Authors:  Elmer Ccopa Rivera; Rodney L Summerscales; Padma P Tadi Uppala; Hyun J Kwon
Journal:  ChemistryOpen       Date:  2020-08-19       Impact factor: 2.911

2.  Data-Driven Modeling of Smartphone-Based Electrochemiluminescence Sensor Data Using Artificial Intelligence.

Authors:  Elmer Ccopa Rivera; Jonathan J Swerdlow; Rodney L Summerscales; Padma P Tadi Uppala; Rubens Maciel Filho; Mabio R C Neto; Hyun J Kwon
Journal:  Sensors (Basel)       Date:  2020-01-23       Impact factor: 3.576

  2 in total

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