Handbook of Vibrational Spectroscopy 2001
DOI: 10.1002/9780470027325.s8922
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Dynamic Infrared Linear Dichroism of Polymers†Much of this material was based on Chapter 21 in “Fourier Transform Infrared Spectrometry”, Second Edition, by P. R. Griffiths and J. A. de Haseth, Wiley Interscience, Hoboken (2007).

Abstract: The sections in this article are The Study of Viscoelastic Properties of Polymers by Infrared Spectrometry Dynamic Infrared Linear Dichroism Measured with a Monochromator DIRLD Spectroscopy with a Step‐Scan F ourier Transform Spectrometer Magnitude and Phase Spectra and Two‐Dimensional C… Show more

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Cited by 224 publications
(338 citation statements)
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“…Diffuse reflection spectra appear to be similar to transmission spectra derived from poorly prepared KBr disks. 16 If the sample of interest is located as a film on a smooth metal surface, the resulting reflection spectra are quite similar to corresponding transmission spectra. In this case, the incident beam is reflected by the metal layer and thus passes through the film twice.…”
Section: Data Evaluationmentioning
confidence: 87%
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“…Diffuse reflection spectra appear to be similar to transmission spectra derived from poorly prepared KBr disks. 16 If the sample of interest is located as a film on a smooth metal surface, the resulting reflection spectra are quite similar to corresponding transmission spectra. In this case, the incident beam is reflected by the metal layer and thus passes through the film twice.…”
Section: Data Evaluationmentioning
confidence: 87%
“…Therefore, mathematical transformation (KramersKronig transformation) has to be applied in order to gain absorbance-like spectra which may be compared to actual database spectra. 16 However, the transformation will yield accurate results only when diffuse reflectance does not contribute to the analytic signal. This fact raises the questions how far this precondition can be met when paint layers were analyzed and in which way contributing diffuse reflection influences the usability of the results.…”
Section: Reflection Ftir Spectroscopymentioning
confidence: 99%
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“…When Fourier transforming a time-domain signal collected in a window of nite duration, a boxcar function becomes convolved with the true time-domain signal, resulting in each line in the frequency domain being convolved with a sinc function. 20 Spectral leakage arises because a sinc function will add many sidelobes to the main peak, and so distinguishing between separate peaks becomes more difficult. Choosing a different apodization function from the boxcar will suppress the sidelobes and prevent spectral leakage that would arise from the sidelobes of one feature overlapping with the peak of another nearby feature.…”
Section: Data Processingmentioning
confidence: 99%