Fast analytical methodologies based on molecular spectrophotometric techniques and multivariate data analysis

Identificador:  TDX:834

Handle: https://hdl.handle.net/20.500.11797/TDX834

Autores:  Río Sánchez, Vanessa del

Resumen:
The main objective of this thesis is the development of fast analytical methodologies based on molecular spectrophotometric techniques and multivariate data analysis. These methodologies have been applied to the resolution of two analytical problems related to the vegetable oils as raw materials. <br/>One of them is the evaluation of the possibilities that modified vegetable oils offer as precursors of pre-polymers. It has been demonstrated that infrared spectroscopy combined with second-order data treatment is a powerful tool to carry out the quantitative analysis of model polymer reactions of interest to obtain vegetable oil-thermosetting materials. <br/>The other one is the quality control of biodiesel. Two methods based on sequential injection analysis with UV-visible detection and second-order data treatment have been developed to determine the specific parameters of interest for the characterization of the fuel.