Search

Red meat consumption has been associated with negative health effects. A study to identify biomarkers of meat consumption was undertaken using serum samples collected from combining high resolution mass spectrometry (UPLC-QTof-MS) and chemometrics. Using orthogonal partial last-squares discriminant analysis (OPLS-DA), multivariate models were created for both modes of acquisition (ESI−/ESI+) and red meat intake classes (YES/NO). In the serum samples, a total 3280 and 3225 ions of interest were detected in positive and negative modes, respectively. Of these, 62 were found to be significantly different (p < 0.05) between the two groups. Glycerophospholipids as well as other family lipids, such as lysophospholipids or sphingomyelin, were found significantly (p < 0.05) different between yes and no red meat intake groups. This study has shown metabolomics fingerprints have the capability to identify potential biomarkers of red meat consumption, as well as possible health risk factors (e.g., key metabolic families related to the risk of development type 2 diabetes). [ABSTRACT FROM AUTHOR]

Oil-source rock correlations are used in this study in order to achieve their relationship, depositional environments, and diagenetic processes in the source rocks. For this purpose many parameters are used, e.g., gross composition of oil and source rock extracts, and biomarker analyses. Ten representative oil samples and seven source rock hydrocarbon extracts were analyzed using relative geochemical analyses, and gas chromatography-mass spectrometry. The results revealed a genetic close relation between them and supported the indigenous mixed source of Alam El Bueib oil, which related to different sources, including Khatatba, Alam El Bueib, and Bahariya formations. Accordingly, Alam El Bueib formation can be considered as an important source for petroleum generation in that area. [ABSTRACT FROM PUBLISHER]