Fluorescent spectroscopy paired with parallel factor analysis for
The value of three-dimensional fluorescent spectroscopy paired with parallel factor analysis (EEM-PARAFAC) was demonstrated in the superiority of sensitivity and accuracy in
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The value of three-dimensional fluorescent spectroscopy paired with parallel factor analysis (EEM-PARAFAC) was demonstrated in the superiority of sensitivity and accuracy in
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In this study, fluorescence regional integration (FRI) and parallel factor analysis (PARAFAC) applied to EEM allows good quantitative assessment of the composition of DOM derived from manure biochars.
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Three-way fluorescence data and multivariate calibration based on parallel factor analysis (PARAFAC) are combined for the simultaneous quantitation of three fluoroquinolone anitibiotics
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The strategy of parallel factor analysis, combined with the internal standard method, has been increasingly applied to the qualitative and quantitative analysis of three-dimensional
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The seminal paper of (Colin A. Stedmon, Markager, and Bro 2003) put at the forefront the use of parallel factor analysis (PARAFAC) to aid the characterization of fluorescent DOM.
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We detect the three-dimensional (3D) fluorescence spectrum of fulvic acid and apply the parallel factor (PARAFAC) method for qualitative and quantitative analysis.
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In this work, we systematically established the framework of the parallel factor analysis with internal standard sample embedding (ISSE
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This paper is mostly concerned with single-molecule fluorescence spectroscopy of solutions, but many of the arguments discussed here would apply in many different situations (such as immobilized
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Therefore, we propose an alternative method of viability testing: native excitation−emission matrix fluorescence spectroscopy coupled with parallel factor analysis (PARAFAC), which is especially
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This research has used fluorescence spectroscopy and parallel factor analysis (PARAFAC) in order to characterize dissolved organic matter in septic tank effluent, as it passes
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In this work, we systematically established the framework of the parallel factor analysis with internal standard sample embedding (ISSE-PARAFAC) strategy.
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