Literature DB >> 16853038

Highly efficient quenching of coreactant electrogenerated chemiluminescence by phenolic compounds.

Huzhi Zheng1, Yanbing Zu.   

Abstract

We describe the quenching effects of phenolic compounds on the electrogenerated chemiluminescence (ECL) of the Ru(bpy)3(2+) (bpy = 2,2'-bipyridine)/tri-n-propylamine (TPrA) system in aqueous solution. First, the emissions via different ECL routes were examined in the presence of 1,4-benzoquinone. It was found that the interception of the ECL intermediate radicals by the quencher molecules significantly influenced the light emission, especially when the direct coreactant oxidation played a predominant role in producing ECL. The most efficient quenching was observed for the low-oxidation-potential (LOP) ECL at a low concentration of TPrA (<5 mM). The Stern-Volmer constant (K(SV)) of the LOP ECL quenching could be as high as 1.3 x 10(6) M(-1), approximately 700 times larger than that of the photoluminescence quenching. Other phenolic compounds, such as phenol, hydroquinone, catechol, and dopamine, would be oxidized at the potential where the ECL was generated, and the benzoquinone-containing products exhibited ECL quenching effects similar to that of 1,4-benzoquinone. The highly efficient quenching of the LOP ECL by the phenolic compounds may provide a new approach for the determination of these pharmaceutically and environmentally important molecules.

Entities:  

Year:  2005        PMID: 16853038     DOI: 10.1021/jp052843o

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Quenching Behavior of the Electrochemiluminescence of Ru(bpy)32+ /TPrA System by Phenols on a Smartphone-Based Sensor.

Authors:  Elmer C Rivera; Joseph W Taylor; Rodney L Summerscales; Hyun J Kwon
Journal:  ChemistryOpen       Date:  2021-08       Impact factor: 2.630

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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