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Browsing by Subject "fluorescent"

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    Daley Creek Dye Trace Report 2009 Houston County, Minnesota
    (2009-12) Green, Jeffrey A; Peters, Andrew J; Luhmann, Andrew J; Alexander Jr., E. Calvin
    A dye trace was conducted from a stream sink on Daley Creek in Houston County. Daley Creek is a state designated trout stream west of the City of Houston (Figure 1). This trace was run to begin to delineate springsheds in this area.
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    Spectral Deconvolution and Quantification of Natural Organic Material and Fluorescent Tracer Dyes
    (Proceedings of the Tenth Multidisciplinary Conference on Sinkholes and the Engineering and Environmental Impacts of Karst. © 2005 American Society of Civil Engineers. Published online: April 26, 2012, 2005-09-28) Alexander, Scott C
    Fluorescent dyes have become an integral part of the study and management of ground water in karst environments. Researchers have striven to reduce detection limits and analyze multiple dyes in a single sample while minimizing dye concentrations for environmental, aesthetic and health reasons. The unambiguous separation from background, identification and quantification of fluorescent tracer dyes has increasingly taken on legal implications. Synchronous fluorescence spectroscopy and curve fitting software represent a major advances in the quantitative analysis of low levels of tracer dyes against naturally occurring background fluorescence. Determination of levels of detection (LOD) and levels of quantification (LOQ) are an important part of dye trace design and implementation. Factors that impact LOD and LOQ include levels of natural fluorescent compounds, absolute fluorescence of the specific dyes, the presence of multiple dyes with overlapping peaks and instrumental noise. Characterization of the spectral shapes and concentration dependences of the natural fluorescence background and applied tracer dyes are important to the determination of a positive dye trace result. Rather than representing noise, the natural fluorophores contain information about the flow environment. Spectral deconvolution with curve fitting software is an important tool in the karst researcher’s toolbox.

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