Paper
16 December 2004 Chemical point detection using differential fluorescence from molecularly imprinted polymers
Dmitry Pestov, John E. Anderson, Jean Nelson, Gary C. Tepper
Author Affiliations +
Abstract
Fluorescence represents one of the most attractive approaches for chemical sensing due to the abundant light produced by most fluorophores, resulting in excellent detection sensitivity. However, the broad and overlapping emission spectra of target and background species have made it difficult to perform species identification in a field instrument because of the need to perform spectral decomposition and analysis. This paper describes a new chemical sensing strategy based on differential fluorescence measurements from molecularly imprinted polymers, which eliminates the need to perform any spectral analysis. Species identification is accomplished by measuring the differential light output from a pair of polymers-one imprinted to a target species and the other identical, but not imprinted. The imprinted polymer selectively concentrates the target molecule and controls the energy (wavelength) of the emitted fluorescence signal and the differential output eliminates common mode signals associated with non-specific background interference. Because no spectral analysis is required, the sensors can be made extremely small and require very little power. Preliminary performance parameters from a prototype sensor are presented and discussed.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dmitry Pestov, John E. Anderson, Jean Nelson, and Gary C. Tepper "Chemical point detection using differential fluorescence from molecularly imprinted polymers", Proc. SPIE 5585, Chemical and Biological Point Sensors for Homeland Defense II, (16 December 2004); https://doi.org/10.1117/12.571411
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Luminescence

Polymers

Digital signal processing

Molecules

Chemical analysis

Polymerization

Sensors

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