Background and objectives: Ornithogalum procerum Stapf. (Family: Liliaceae) is an Iranian medicinal plant found mainly in the east Azarbaiijan province of Iran. As part of our ongoing phytochemical and bioactivity studies on medicinal plants from Iranian flora, various extracts and essential oils of this plant were analysed by GC-MS.Methods: The hydrodistillation of the ground aerial parts of O. procerum, Soxhletextraction of the dried and ground bulbs, and the hydrolysis of the methanol extract of the bulbs yielded, the essential oils, n-hexane extrcat and the hydrolysed methanolic extract respectively, which were analysed by the GC-MS.Results: A total of 23 compounds were identified from the essential oils of the the aerial parts. The identified compounds represented 70.27% of the total essential oils. The main components of the aerial parts were phenylacetaldehyde (7.57%), hexahydrofarnesyl acetone (8.13%), docosan (5.52%) and 5-methyl octadecane (4.63%). From the n-hexan extract of the bulbs, seven hydrocarbons representing 99.39% of the total extract, were identified. Finally, from the hydrolyzed methanolic extract of the bulbs, four polysteroltype compounds accounting for 59.81% of the extract, were detected.Conclusion: The GC-MS analyses reavealed that the essential oils are mainly composed of oxygenated hydrocarbons, the n-hexane extract contains predominatly hydrocarbons, and the hydrolyzed methanolic extract comprises polysterol-type compounds.

Introduction: Metabolites are the intermediate and natural low molecular weight products of metabolic reactions which naturally occur within cells. Metabolomics is a post-genomics study that analyzes metabolic profile in all biological samples. Gas chromatography-mass spectrometry (GC-MS) is a powerful technique that detects volatile components. This study evaluates the metabolite profile of serum with a simple method for derivatization. Methods: In this study, the metabolic profile of serum sample of 16 rats was analyzed using GC-MS after protein precipitation, using acetonitrile, and derivatize with a method of less in number and volume of materials. Acquisition chromatograms were pre-processed and analyzed using National Institute of Standards and Technology (NIST) library. Results: 35 metabolites with probability of >60% perfect match were detected according to spectrum fragments analysis by NIST library. Conclusion: This study represents the metabolome profile of serum instead of the change of metabolites that can be evaluated with a simple derivatization method.