Abstract
This chapter introduces an application of multivariate curve resolution (MCR) technique based on a factor analysis. Not only series of IR spectra but also two-dimensional data (series of nuclear magnetic resonance (NMR), mass spectrometry (MS), and X-ray diffraction (XRD)) can deal with same manner (further more two-dimensional data generated by hyphenated techniques such as gas chromatography/mass spectrometry (GC/MS) and liquid chromatography/ultraviolet (LC/UV) analysis, which combine two functions based on different principles, namely, chromatography, which has a separating function, and spectrometry, which provides information related to molecular structure). By using MCR techniques appropriately, the mixture data is resolved into some essential elements (chemical components, transient states and phases). The results can reveal a true chemical characteristic in your study.
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Uda, A. (2015). Analysis for Thermal Degradation of a Polymer by Factor Analysis. In: Visakh, P., Arao, Y. (eds) Thermal Degradation of Polymer Blends, Composites and Nanocomposites. Engineering Materials. Springer, Cham. https://doi.org/10.1007/978-3-319-03464-5_5
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