Fourier Transform Near-Infrared Spectrometry: Using Interferograms to Determine Chemical Composition

Authors: Hoy, R.M.; McClure, W.F.

Source: Applied Spectroscopy, Volume 43, Issue 6, Pages 899-1104 (August 1989) , pp. 1102-1104(3)

Publisher: Society for Applied Spectroscopy

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Abstract:

Previous research has demonstrated several advantages accrued by transforming dispersion-based near-infrared spectra from the wavelength domain to the Fourier domain. Those advantages include: (1) smoothing wavelength-domain data without loss of end points, (2) correcting for the particle size anomaly encountered in solid sample analyses by simply omitting the mean term Fourier coefficient from the "retransformation" process, (3) minimizing the multicollinearity problem prevalent in wavelength space, (4) generating wavelength-space derivatives from Fourier space without loss of end points, (5) performing band enhancements via Fourier self-deconvolution, (6) identifying sample type using Fourier vectors, (7) estimating chemical composition using only the first few (≤12) Fourier coefficients, (8) cutting of computer storage requirements by more than 96%, (9) cutting of calibration time by more than 96% and, hence, (10) reducing the drudgery of maintaining calibrations.

Keywords: NIR; Fourier transform near-infrared spectroscopy; Interferograms

Document Type: Short communication

DOI: http://dx.doi.org/10.1366/0003702894204010

Affiliations: 1: Department of Biological and Agricultural Engineering, North Carolina State University, Box 7625, Raleigh, North Carolina 27695-7625

Publication date: 1989-08-01

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