Ημερολόγιο Εκδηλώσεων

Περιγραφή:
ΠΟΛΥΤΕΧΝΕΙΟ ΚΡΗΤΗΣ Σχολή Μηχανικών Ορυκτών Πόρων - ΠΜΣ Γεωτεχνολογία και Περιβάλλον Εξεταζόμενος μεταπτυχιακός φοιτητής: Μηνάς Μακρίδης Θέμα Μεταπτυχιακής Εργασίας: «Development of a novel mass-spectral library for the identification of biomarker compounds in oils» Τριμελής Εξεταστική Επιτροπή: Καθ. Πασαδάκης Νικόλαος (επιβλέπων) Καθ. Βαρότσης Νικόλαος Καθ. Καλογεράκης Νικόλαος Περίληψη Biomarkers in oils are organic substances that draw their origin from biological molecules that can be correlated with living organisms’ constituents. The presence of biomarkers in petroleum suggests that the chemical structure of the original biological molecules has remained unaltered throughout the processes of petroleum generation. This is the key factor for researchers to use biomarkers in order to specify several features of petroleum including the maturation level and the type of the original organic matter and as a tool for the correlation with source rocks. The identification of biomarkers in petroleum samples is carried out by means of the combined gas chromatography - mass spectrometry technique which is considered a state of the art analytical method for this purpose. Through the chromatography section, samples are subjected to separation of their pure substances which they eventually enter the mass spectrometry section where the quantitative and qualitative detection occurs. The detection comprises the extraction of complete mass spectra for the molecules of interest, whereas the final identification is accomplished with the comparison of the produced spectra with existing mass spectral libraries. However, the identification is not often successful since petroleum biomarkers mass spectra are quite rare in these libraries. The objective of this study is the development of a novel mass spectral library, for the identification of biomarkers, based on mass spectra presented in various sources (e.g. books, journal articles, web pages). The basic tool for the realization of this effort is the MatLab environment. The library development includes three stages; the data digitization, the dataset creation and the matching process. All the operations are user-friendly regardless the individual’s experience level in MatLab. However, the algorithmic background is provided to support the comprehension of these operations.