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Iterative least-squares fit procedures for the identification of organic vapor mixtures by Fourier transform infrared spectrophotometry.

Least-squares fitting (LSF) was applied to the qualitative analysis of IR spectra based on comparing standard reference spectra with the sample mixture spectrum. Identification of compounds in the sample was made by judging the fit level of the spectrum of each compound with the sample spectrum. An iterative procedure was developed to eliminate compounds with the worst fit levels in order to approach an optimal fit for the sample spectrum. The qualitative analysis results obtained from the optimal fit were further used for quantitative analysis.

Least-Squares Analysis↗

Application of near infrared spectrophotometry to the nondestructive analysis of foods: a review of experimental results.

The authors are reviewing here the development and the application of the nondestructive spectrophotometric analytical techniques applied to the agricultural commodities. Following a short description of the theoretical bases of this technique, the most significant applications are reviewed leading to the evolution of the first generation of instruments based on such principles. The applications of the specific instruments developed for on-line measurements are summarized. The Grain Quality Analyzers actually marketed and their use in the determination of a wide range of components in foods are described. The experience gained by the research developed using such instruments has generated a new series of computerized instruments allowing for new methodologies and applications that are discussed and reviewed here. The state of the art and the development trends are briefly discussed, particularly referring to the research aimed to the extension of this technique to evaluate different chemical compounds in foods, to use as quality indices for agronomic, processing, and marketing purposes.

Computers↗