Paper
1 December 1989 Fourier Transform Near Infrared Spectrometry: Using Interferograms To Determine Chemical Composition
R. M. Hoy, W. F. McClure
Author Affiliations +
Proceedings Volume 1145, 7th Intl Conf on Fourier Transform Spectroscopy; (1989) https://doi.org/10.1117/12.969406
Event: Seventh International Conference on Fourier and Computerized Infrared Spectroscopy, 1989, Fairfax, VA, United States
Abstract
Previous research conducted in this laboratory has demonstrated several advantages accrued by transforming 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 particle size phenomena 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 Fourier coefficients, [8] cutting of computer storage requirements by more than 96%, [9] cutting of calibration time by more than 96%, hence [10] reducing the drudgery of maintaining calibrations. That the first 12 Fourier coefficients contain sufficient information to determine chemical constituents in many products has turned out to be a major advantage leading us to understand that the chemical absorption information in the wavelength spectrum of a sample obtained with an interferometer was also present in the interferogram.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. M. Hoy and W. F. McClure "Fourier Transform Near Infrared Spectrometry: Using Interferograms To Determine Chemical Composition", Proc. SPIE 1145, 7th Intl Conf on Fourier Transform Spectroscopy, (1 December 1989); https://doi.org/10.1117/12.969406
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KEYWORDS
Calibration

Near infrared

Spectroscopy

Fourier transforms

Statistical analysis

Chemical analysis

Infrared spectroscopy

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