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Summary The Arctic Alaska petroleum province is geologically and geochemically complex. Mixed hydrocarbon charge from multiple source rocks and/or levels of thermal maturity is common within an individual oil pool. Molecular fingerprinting tools are used in the present study to characterize and establish genetic relationships among a suite of oils sampled from multiple discoveries and fields across the North Slope. Applications of Advanced Geochemical Technologies (AGTs) are utilized to identify and correlate fluids generated from deep sources, determine co-sources for oil mixtures, and ascertain controls on hydrocarbon provenance ( Dahl et al., 1999 ; Moldowan et al., 2015 ). The AGTs presented here comprise quantitative diamondoid analysis (QDA), quantitative extended diamondoid analysis (QEDA), compound specific isotope analysis of diamondoids (CSIA-D), biomarker assessments by gas chromatography-tandem mass spectrometry (GC-MS-MS), CSIA of hopane and sterane biomarkers (CSIA-Bh and CSIA-Bs, respectively), and CSIA of n-alkanes (CSIA-Ac). Diamondoid analyses reveal mixed-oil accumulations in most sampled reservoirs and allow the source(s) of both post-mature and oil-window maturity charge contributions to be identified. Age-diagnostic and source-sensitive biomarker parameters provide an assessment of age ranges and depositional environmental constraints of the sources of the oil-window components. Results of CSIA-Bh, -Bs, and -Ac provide greater insight into paleoenvironments of the generative sources.

Raman spectroscopy has recently received attention as a means to estimate thermal maturity of organic matter in petroleum generating source rocks to complement more traditional approaches such as vitrinite reflectance and programmed pyrolysis. While many studies have observed positive correlations between source rock thermal maturity and Raman spectral parameters, little attention has been given to the degree of variation in the Raman response across individual organic grains, especially for shales or mudrocks with highly dispersed organic matter. Here the spatial variation in Raman estimates of thermal maturity within individual organic grains is assessed from shales from the Boquillas, Marcellus, Niobrara, and Woodford Formations. The thermal maturity parameters extracted from Raman spectra can vary widely across distances of ≤5 μm within the same organic grain. These results illustrate the high degree of chemical heterogeneity inherent to the organic matter within these source rocks. Additionally, the spatial pattern of the Raman parameters, as revealed by 2D Raman mapping, imply that organic matter structure is influenced by associations with mineral surfaces within the surrounding rock matrix. Chemical heterogeneity and matrix effects directly impact the Raman response from these types of materials and thus the extracted thermal maturity estimate. These findings highlight the care which must be adopted when making Raman measurements of organic matter within source rock matrices, especially for samples which feature highly dispersed, heterogeneous organic matter as found in petroliferous mudrocks.

The Arctic Alaska petroleum province is geologically and geochemically complex. Mixed hydrocarbon charge from multiple source rocks and/or levels of thermal maturity is common within an individual oil pool. Biomarker and chemometric statistical analyses were used to correlate twenty-nine oils to five oil families derived from: (1) Triassic Shublik Formation (calcareous organofacies), (2) Triassic Shublik Formation (shaly organofacies), (3) Jurassic Kingak Shale, (4) Cretaceous shale (pebble shale unit and Hue Shale), and (5) Paleogene shale (Canning Formation). Age-diagnostic and source-related oil biomarker parameters establish clear genetic relationships between the normal oil-window components and their putative source designations. However, application of diamondoid analyses reveals mixed-oil accumulations with postmature charge contributions (diamondoid-rich and biomarker-poor) in many oils. Most sampled reservoirs contain a predominant charge derived from a single oil-window source plus a minor contribution from one or more higher maturity source(s). Variations in source organofacies also are recognized in the Shublik, Kingak, and Cretaceous oil families. In some cases, oils from multiple pools within a single field display relatively homogeneous geochemical profiles, suggesting a common source and migration pathway. For example, oil from the significant Pikka discovery is inferred to originate mainly from the calcareous Shublik Formation. In other cases, variability among oils from multiple pools within a single field (e.g., Milne Point, Colville River, and Northstar) likely indicates a more complex source, migration, and charge history. Results may be useful for anticipating the composition of oil charge in stratigraphic traps with low-permeability sandstone reservoirs, where oil gravity and other chemical parameters may influence economic viability.

The analysis of low abundance and low molecular weight biomolecules is challenging due to their labile nature and the presence of high abundance, high molecular weight species such as serum albumin, which can hinder their detection. Functionalized hydrogel particles have proven to be ideally suited for this application. We here report the synthesis of hydrogel core and core–shell particles with incorporated Cibacron Blue F3G-A, and analysis of their harvesting properties. Hydrogel particle scaffolds consisting of cross-linked N-isopropylacrylamide and allylamine copolymers were synthesized via surfactant-free precipitation polymerization, with the blue dye subsequently affixed via a nucleophilic substitution reaction. The dye-functionalized core and core–shell particles were found to efficiently harvest and sequester dilute low molecular weight peptides and proteins from solution, with the core–shell particles more effectively excluding larger proteins. Moreover, proteins bound by core and core–shell particles containing blue dye were protected from tryptic degradation. These findings suggest that core and core–shell hydrogel particles containing Cibacron Blue F3G-A constitute promising new tools for peptide/protein biomarker harvesting applications.

Urine is a potential source of diagnostic biomarkers for detection of diseases, and is a very attractive means of non-invasive biospecimen collection. Nonetheless, proteomic measurement in urine is very challenging because diagnostic biomarkers exist in very low concentration (usually below the sensitivity of common immunoassays) and may be subject to rapid degradation. Hydrogel nanoparticles functionalized with Cibacron Blue F3G-A (CB) have been applied to address these challenges for urine biomarker measurement. We chose one of the most difficult low abundance, but medically relevant, hormones in the urine: human growth hormone (hGH). The normal range of hGH in serum is 1 to 10 ng/mL but the urine concentration is suspected to be a thousand times less, well below the detection limit (50 pg/mL) of sensitive clinical hGH immunoassays. We demonstrate that CB particles can capture, preserve and concentrate hGH in urine at physiological salt and urea concentrations, so that hGH can be measured in the linear range of a clinical immunometric assay. Recombinant and cadaveric hGH were captured from synthetic and human urine, concentrated and measured with an Immulite chemiluminescent immunoassay. Values of hGH less than 0.05 ng/mL (the Immulite detection limit) were concentrated to 2 ng/mL, with a urine volume of 1 mL. Dose response studies using 10 mL of urine demonstrated that the concentration of hGH in the particle eluate was linearly dependent on the concentration of hGH in the starting solution, and that all hGH was removed from solution. Thus if the starting urine volume is 100 mL, the detection limit will be 0.1 pg/mL. Urine from a healthy donor whose serum hGH concentration was 1.34 ng/mL was studied in order detect endogenous hGH. Starting from a volume of 33 mL, the particle eluate had an hGH concentration of 58 pg/mL, giving an estimated initial concentration of hGH in urine of 0.175 pg/mL. The nanotechnology described here appears to have the desired precision, accuracy and sensitivity to support large scale clinical studies of urine hGH levels.