Journal of Chemical Software
Online ISSN : 1883-8359
Print ISSN : 0918-0761
ISSN-L : 0918-0761
Data Mining from Near-infrared Spectra of Plastics by 1/f Fluctuation(2)— The Case of Flat Spectra of Dark Colored Plastics —
Mitsue ONODERAUmpei NAGASHIMASumie KATOHaruo HOSOYANarushi GOTOToshio AMANOKazutoshi TANABEHiroyuki UESAKA
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1999 Volume 5 Issue 3 Pages 103-112

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Abstract

A rapid and intact method was developed for discriminating plastics tips by the analysis of 1/f fluctuation of near-infrared reflection spectra. First, the regression lines of the power spectrum of a given sample are obtained after middle pass filtering with FFT. Then the data point of the cross section and slope of the obtained regression line are plotted. According to our test measurement, five black colored samples were clearly classified into five groups of different chemical compositions. This novel method was found to be useful for recycling plastics waste efficiently and with reasonable accuracy.

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© 1999 by the Chemical Software Society of Japan
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