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
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
- The Society publishes the internationally recognized, peer reviewed journal, Applied Spectroscopy, which is available both in print and online. Subscriptions are included with membership or can be purchased by institutional or corporate organizations. Abstracts may be viewed free of charge. Previously published as Bulletin (Society for Applied Spectroscopy)
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