Advances and Perspectives in Near-Infrared Spectrophotometry

James K. Drennen, Elizabeth G. Kraemer, Robert A. Lodder

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Near-infrared spectrophotometric analysis is a rapid technique that typically uses the reflectance of a solid sample at several wavelengths to determine the sample’s composition. A computerized modeling process is generally used to correct for background and sample-matrix interferences. The modeling process employs a training set of samples to, in effect, “teach” the computer to recognize relationships between minute spectral features and sample composition. The contents of the training-set samples must be determined initially by some other reference method before applying the near-IR technique. The model developed from near-IR spectra and reference values gives the sample composition using a number of linear equations. Each of these equations expresses a particular component concentration as a weighted sum of the signals observed at a number of near-IR wavelengths. Instruments used for near-IR spectrophotometry can be as simple as a filter photometer or a grating monochromator. The broad spectral peaks and highly correlated wavelength vectors generally limit the number of wavelengths used in the model. Little or no sample preparation is required by near-IR methods, and many solid samples can be directly analyzed. Near-IR spectrophotometry has found application in agriculture, industry, biology, medicine, and even satellite remote sensing.

Original languageEnglish
Pages (from-to)443-475
Number of pages33
JournalCritical Reviews in Analytical Chemistry
Volume22
Issue number6
DOIs
StatePublished - Jan 1991

Bibliographical note

Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.

Keywords

  • at-line
  • chemometrics pharmaceutics
  • in-line
  • on-line

ASJC Scopus subject areas

  • Analytical Chemistry

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