ラマン分光法, 近赤外分光法及びケモメトリックスを用いたポリマーの非破壊分析
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概要
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The studies described in this thesis had three purposes. One was to demonstrate the potential of the Raman spectroscopy-chemometrics method and the near-infrared spectroscopy-chemometrics method in polymer analysis. Another was to correlate statistically detected spectral changes with known sample properties, such as the comonomer content, density, and crystallinity, and to predict the properties of polymers. Yet another was to propose band assignments for the Raman and near-infrared spectra of polymers with the aid of the second derivatives and the loadings plots obtained in chemometrics. The Raman spectroscopy-chemometrics method and the near-infrared spectroscopy-chemometrics method are promising for the in situ and nondestructive analysis of polymers. A multiplicative scatter correction (MSC) is powerful pretreatment to overcome the noise, intensity changes, and vertical drifts of the Raman and near-infrared spectra of polymer products, such as pellets. A principal component analysis (PCA) can discriminate the spectra of polymer samples with similar properties, while a partial least-squares regression (PLSR) can construct good calibration models, which can predict the properties of polymers. It has become clear that PCA and PLSR combined with the MSC treatment in Raman and near-infrared spectroscopies are useful for qualitative and quantitative analyses of polymer products and biological materials, such as ivory.
- 社団法人日本分析化学会の論文
- 1999-01-05