Tricyclic terpanes to hopanes Ratios calculated from individual biomarkers to delineate their distribution, identifications, mixing ratios and biological precursor in a suite of crude oils (n = 24) from the East Sirt Basin. Geochemical application of Tricyclic terpane and Hopane biomarkers is divided studied oils into five groups (I, II, III, IV and V) based on the different ratios between Tricyclic terpanes to hopanes. Percentages of C23 Tricyclic terpanes/17α (H), 21β(H)-hopanes (C30αβ) and C28 Tricyclic terpane/17α (H), 21β (H)-30 hopanes (C31) have divided crude oils into 2 main individual groups in addition to 3 mixed groups. Group I, characterized by the dominance and extension of the tricycle terpane series (≈ C45 Tricyclic terpane). Group V, distinguished with the dominance of 17α (H), 21β (H) hopanes series. Groups II, contained a domination Tricyclic terpanes and hopanes, considered as a mixed group. The group III demonstrated equivalent ratios of Tricyclic terpanes to hopanes. The Group IV revealed a reduced amount of Tricyclic terpanes with enrich of hopanes. Tricyclic terpanes derived from tricyclohexaprenol precursors and attributed to a marine depositional environment and algal matter. Hopanes in obtained from bacteriohopane polyols and aminopolyols and distinguished to a depositional bacterial environment.

The present paper involves a detailed evaluation of specific steroid biomarkers by gas chromatography– mass spectrometry (GC–MS) and GC-metastable reaction monitoring (MRM) analyses of several crude oils and source rocks from the East Sirte Basin. 24-Norcholestanes, dinosteranes, 4a-methyl-24-ethylcholestanes and triaromatic steroids have been identified in both source-rocks and crude oils of the East Sirte Basin. Diatoms, dinoflagellates (including those potentially associated with corals) and/or their direct ancestors are amongst the proposed sources of these biomarkers. These biomarker parameters have been used to establish a Mesozoic oil–source correlation of the East Sirte Basin. Hydropyrolysis of an extant coral extract revealed a similar distribution (although immature) of dinosteranes and 4a-methyl-24-ethylcholestanes also observed in the Sirte oils and source-rocks. This is consistent with the presence of dinoflagellates present during the deposition of the Mesozoic aged East Sirte Basin Formations. A good data correlation for the rock extracts revealed a similar distribution of 3,24-dimethyl triaromatic steroids, 3-methyl-24-ethylcholestanes, 4-methyl-24-ethylcholestanes and 2-methyl-24-ethylcholestanes observed in one of the oil families and associated source-rocks for the East Sirte Basin.

Biomarker ratios, together with stable carbon (d13C) and hydrogen (dD) isotopic compositions of individual hydrocarbons have been determined in a suite of crude oils (n = 24) from the East Sirte Basin to delineate their sources and respective thermal maturity. The crude oil samples are divided into two main families (A and B) based on differences in source inputs and thermal maturity. Using source specific parameters including pristane/phytane (Pr/Ph), hopane/sterane, dibenzothiophene/ phenanthrene (DBT/P), Pr/n-C17 and Ph/n-Cl8 ratios and the distributions of tricyclic and tetracyclic terpanes, family B oils are ascribed a marine source rock deposited under sub-oxic conditions, while family A oils have a more terrigenous source affinity. This genetic classification is supported by the stable carbon isotopic compositions (d13C) of the n-alkanes. Using biomarker maturity parameters such as the abundance of Pr and Ph relative to n-alkanes and the distribution of sterane and hopane isomers, family A oils are shown to be more thermally mature than family B oils. The contrasting maturity of the two families is supported by differences between the stable hydrogen isotopic compositions (dD) of Pr and Ph and the n-alkanes, as well as the d13C values of n-alkanes in their respective oils. 

после добавления токсиканта, во всем диапазоне концентраций фенола. Таким образом, зависимости, получаемые в таких случаях, являются сложными и фиксируют большое число факторов. Исключение в эксперименте одних факторов и изучение влияния других достигается в проточных реакторах полного перемешивания, когда один из факторов поддерживается постоянным (например, режим рН-стата). Построенные в работе зависимости позволяют разрабатывать методики эксперимента, служащих целям токсикологии, например, при разработке системы предельно допустимых концентраций по влиянию токсиканта на скорость дыхания тест-объекта. Природные фенольные соединения расщепляются почвенными микроорганизмами, использующими их в качестве источника углерода [29]. Микроорганизмы природных биоценозов приспособлены к низким концентрациям этих соединений. Для удаления фенолов при их высокой концентрации (например, промышленные сточные воды, аварийные ситуации, залповые выбросы) необходимо выделять формы, которые активно окисляют фенол, и адаптировать их к высоким концентрациям фенола как субстрата [30]. В связи с этим возникает круг задач оптимального сочетания концентраций основного субстрата, окислителя и косубстратов (азот в форме дрожжевого экстракта), которые могут быть решены в соответствии с подходом, представленным выше в форме задачи о конкуренции молекул субстрата и окислителя за активные центры поверхности клеточной мембраны. Круг подобного типа задач может быть расширен в зависимости от вопросов, которые ставит практика микробиологии.