Issue 14, 2017

Improving ruthenium-based ECL through nonionic surfactants and tertiary amines

Abstract

The influence of surfactants and coreactants on Ru(bpy)32+ electrogenerated chemiluminescence (ECL) was investigated comparatively. Specifically, the influence that the two tertiary amines, N-butyldiethanolamine (NBEA) and 2-(dibutylamino)ethanol (DBAE) have on the ECL reaction, alone and in the presence of the two surfactants Triton™ X-100 and Zonyl® FSN, was investigated, in comparison with that of the well-studied and established coreactant tripropylamine (TPA). Experiments were conducted on poly(methyl methacrylate) substrates coated with plasma-evaporated gold as used in many miniaturized systems. Upon optimization and study of the various combinations, the combination of NBEA/Zonyl FSN provided superior ECL signal characteristics. A limit of detection (LOD) of 2.2 nM Ru(bpy)32+ was obtained. Compared with the LOD of 0.59 μM for the commonly used TPA/Triton™ X-100 system, the resulting LOD is enhanced by a factor of 250. In addition, significantly more stable signals lead to an increase in sensitivity by a factor of 50. This makes the NBEA/Zonyl® FSN system an attractive ECL strategy, especially for miniaturized analytical systems. Furthermore, it became clear that previously postulated effects of surfactants on the enhancement of coreactant-based ECL do not translate to other surfactants and coreactants. We could demonstrate that more complicated mechanisms are at play as the ECL intensity for Ru(bpy)32+/NBEA was the highest in the presence of Zonyl® FSN, whereas the ECL signal decreased significantly upon introduction of the surfactant with DBAE as coreactant.

Graphical abstract: Improving ruthenium-based ECL through nonionic surfactants and tertiary amines

Article information

Article type
Paper
Submitted
03 Feb 2017
Accepted
25 May 2017
First published
25 May 2017

Analyst, 2017,142, 2648-2653

Improving ruthenium-based ECL through nonionic surfactants and tertiary amines

S. Kirschbaum-Harriman, A. Duerkop and A. J. Baeumner, Analyst, 2017, 142, 2648 DOI: 10.1039/C7AN00197E

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