STUDIES ON HIGH-PERFORMANCE SUPERSONIC JET SPECTROMETRY

A supersonic jet/florescence spectrum is measured either by monitorring fluorescence at lambda(em) = lambda(ex) (resonant synchronous scan luminescence, R-SSL) or by monitoring total fluorescence but blocking florescence at lambda(em) = lambda(ex) (nonresonant synchronous scan luminesccnce, N-SSL). The R-SSL technique provides a simple spectrum and is useful assignment of the chemical species from a database constructed by accumulating the spectral data of 0-0 transition from reference sources; the N-SSL technique offers a fingerprinting spectrum and is useful for reliable identification with the standard spectrum. In this study, a technique based on pattern recognition is employed for prediction of the chemical structure of the sample from supersonic jet spectrometry data. The degree of similarity is evaluated quantitatively by calculating a cross correlation factor between the sample and reference molecules. A probability density function is determined fitting the data to a specified equation. The functional group its and its position are also predicted by a similar technique. The pattern recognition provides a method for prediction of the chemical structure and is applicable to the samples that have not yet been measured by supersonic jet spectrometry.