Abstract
A sliding pivot technique capable of locating component peak maxima of multicomponent spectra is presented. The locations of peak maxima obtained in this way are shown to be the same as those of the minima in the second derivative. A major advantage over the second-derivative test is simply that derivative spectra are not needed. The sliding pivot technique requires only the original spectrum to locate the component peak maxima and consequently reduces the noise enhancement factor. The deconvuluted Fourier transform infrared spectrum of purple membrane is analyzed and compared to a Gaussian analysis and a second-derivative analysis. The sliding pivot technique identifies a band missed by second-derivative analysis.
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