Paper
26 February 1999 Sol-gel chemical sensors for surface-enhanced Raman spectroscopy
Vincent Yuan-Hsiang Lee, Stuart Farquharson, Hueong-Chan Kwon, Mahmoud R. Shahriari, Petrie M. Rainey
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Abstract
Surface-enhanced Raman spectroscopy (SERS) promises to be one of the most sensitive methods for chemical detection. Unfortunately, the inability of SERS to perform quantitative chemical analysis has slowed its general use in laboratories. This is largely due to the difficulty of manufacturing either active surfaces that yield reproducible enhancements, or surfaces that are capable of reversible chemical adsorption, or both. In an effort to meet this need, we have developed metal-doped sol-gels that provide surface-enhancement of Raman scattering. The porous silica network offers a unique environment for stabilizing SER active metal particles and the high surface area increases the interaction between the analyte and metal particles. This eliminates the need to concentrate the analyte on the surface by evaporating the solvent. The sol-gel is easily coated on a variety of surfaces, such as fiber optics, glass slides, or glass tubing, and can be designed into sample flow systems. Here we present the development of both gold- and silver-doped sol-gels, which have been used to coat the inside walls of glass sample vials for SERS applications. The performance of the metal-doped sol-gels was evaluated using p-aminobenzoic acid, to establish enhancement factors, detection limits, dynamic response range, reversibility, reproducibility, and suitability to commercial spectrometers. Measurements of trace chemicals, such as adenine and cocaine, are also presented.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vincent Yuan-Hsiang Lee, Stuart Farquharson, Hueong-Chan Kwon, Mahmoud R. Shahriari, and Petrie M. Rainey "Sol-gel chemical sensors for surface-enhanced Raman spectroscopy", Proc. SPIE 3537, Electro-Optic, Integrated Optic, and Electronic Technologies for Online Chemical Process Monitoring, (26 February 1999); https://doi.org/10.1117/12.341038
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Cited by 4 scholarly publications.
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