Three-component self-modeling technique applied to luminescence spectra

Abstract

It Is shown that the selection of pure component spectral coefficients Is Improved when additional applicable constraints are Imposed. The method Is demonstrated first for a twocomponent system (the phosphorescence and delayed fluorescence of benzophenone) and then extended to three components. It Is first shown that It succeeds In reproducing theoretical curves used to construct an artificial three-component Input matrix and then It Is applied to resolve experimental spectra composed of the fluorescence of two conformers of trans-,2-di(2-naphthyl)ethene (DNE) and a background spectrum dominated by Raman emission at the excitation wavelength region.

Mixture analysis using factor analysis. II: Self‐modeling curve resolution

“…Sun et al applied a three-component version of Borgen and Kowalski's method in Reference 27 to produce the pure fluorescence spectra of two conformers and eliminate background emission due to Raman scattering. 31 Their method required at least two regions where the component spectra did not overlap. Experimental spectra were measured at varying concentrations of chloroform to take advantage of differential quenching of the conformers by chloroform.…”

Principal component analysis of dual-luminophore pressure/temperature sensitive paints

“…The next steps in the analysis follow the approaches outlined by Lawton and Sylvestre (1971), Malinowski and Howery (1980) and Sun et al (1987). The data matrix, S, is normalized such that for each value of n the sum over I yields unity.…”

Reversible changes in fluorescence of bacterial endospores found in aerosols due to hydration/drying

“…PCA has found many applications in optical spectroscopy. PCA has been used for the analysis of UV/visible fluorescence data (Giana et al, 2003) and its usefulness has also been demonstrated for high-performance liquid chromatography (Sun, Sears, & Saltiel, 1987;Vandeginste, Essers, Bosman, Reijnen, & Kateman, 1985) and time-resolved Fourier transform infrared spectroscopy (Helm, Labischinski, Schallehn, & Naumann, 1991;Perkins et al, 2004).…”