Application of infrared absorption microspectroscopy and linear regression model to ex vivo analysis of secondary structures of proteins in animal tissues
DOI:
https://doi.org/10.34767/SIMIS.2013.11.04Keywords:
Microspectroscopy FT-IR, chemometric, linear regression, secondary structure of proteins, diabetesAbstract
Abstarct: FT-IR microspectroscopy in combination with chemometrisc is one of the most important modern analytical techniques used in studying biological materials, such as tissues or cells. It allows for identification and studying the spatial distribution of biochemical components in the sample while providing a high level of selectivity and resolution. Chemometrics, which is based on computational, statistical and mathematical methods to analyze chemical data, is a powerful tool in the study of animal tissues and observing the lesions. This paper presents an application of a linear regression model and infrared absorption spectroscopy (FT-IR) to analyze of
changes in the biochemical profile of tissue caused by diabetic disease.
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