TL;DR: This work proposes and demonstrates an approach using the van Krevelen diagram that can be visualized in a way that allows for possible reaction pathways to be identified and presented, and qualitative analyses on major classes of compounds that comprise ultrahigh-resolution spectra.
Abstract: Electrospray ionization mass spectrometry (ESI-MS) is becoming an important tool in the study of natural organic matter (NOM) at the molecular level.1 Ultrahigh-resolution ESI-MS analyses of NOM often produce very complicated spectra; therefore, visual presentation and structural interpretations of the spectra are difficult. To meet this analytical challenge, we herein propose and demonstrate an approach using the van Krevelen diagram. With this approach, complicated mass spectra can be visualized in a way that allows for (1) possible reaction pathways to be identified and presented, and (2) qualitative analyses on major classes of compounds that comprise ultrahigh-resolution spectra. The qualitative analyses are in a good agreement with results obtained from analyses by other analytical techniques. Additionally, the van Krevelen diagram can be expanded to a 3D plot by using peak intensities or relative intensities as the z-axis. The 3D van Krevelen diagram allows for an evaluation of the relative signifi...
TL;DR: The first € price and the £ and $ price are net prices, subject to local VAT as mentioned in this paper, and they are subject to change without notice. All prices exclusive of carriage charges.
Abstract: The first € price and the £ and $ price are net prices, subject to local VAT. Prices indicated with * include VAT for books; the €(D) includes 7% for Germany, the €(A) includes 10% for Austria. Prices indicated with ** include VAT for electronic products; 19% for Germany, 20% for Austria. All prices exclusive of carriage charges. Prices and other details are subject to change without notice. All errors and omissions excepted. O.C. Mullins, E.Y. Sheu, A. Hammami, A.G. Marshall Asphaltenes, Heavy Oils, and Petroleomics
TL;DR: It is possible to break a broadband mass spectrum into 1-Da segments, rotate each segment by 90 degrees, scale each segment according to its mass defect, and compress the spacing between the segments to yield a compact display, illustrated for experimental electrospray ionization FTICR ultrahigh-resolution mass spectra of a petroleum crude oil.
Abstract: At currently achievable Fourier transform ion cyclotron resonance broadband mass spectrometry resolving power (m/Δm50% > 350 000 for 200 < m/z < 1000), it would be necessary to spread out a conventional mass spectrum over ∼200 m in order to provide visual resolution of the most closely resolved peaks. Fortunately, there are natural gaps in a typical mass spectrum, spaced 1 Da apart, because virtually no commonly encountered elemental compositions yield masses at those values. Thus, it is possible to break a broadband mass spectrum into 1-Da segments, rotate each segment by 90°, scale each segment according to its mass defect (i.e., difference between exact and nominal mass), and then compress the spacing between the segments to yield a compact display. For hydrocarbon systems, conversion from IUPAC mass to “Kendrick” mass (i.e., multiplying each mass by 14.00000/14.01565) further simplifies the display by rectilinearizing the peak patterns. The resulting display preserves not only the “coarse” spacings (e...
TL;DR: The key features that have opened up this new field have been ultrahigh-resolution FT-ICR mass analysis, specifically, the capability to resolve species differing in elemental composition by C(3) vs SH(4) (i.e., 0.0034 Da), thereby extending to >900 Da the upper limit for unique assignment of elemental composition based on accurate mass measurement.
Abstract: Ultrahigh-resolution Fourier transform ion cyclotron resonance mass spectrometry has recently revealed that petroleum crude oil contains heteroatom-containing (N,O,S) organic components having more than 20 000 distinct elemental compositions (CcHhNnOoSs). It is therefore now possible to contemplate the ultimate characterization of all of the chemical constituents of petroleum, along with their interactions and reactivity, a concept we denote as “petroleomics”. Such knowledge has already proved capable of distinguishing petroleum and its distillates according to their geochemical origin and maturity, distillation cut, extraction method, catalytic processing, etc. The key features that have opened up this new field have been (a) ultrahigh-resolution FT-ICR mass analysis, specifically, the capability to resolve species differing in elemental composition by C3 vs SH4 (i.e., 0.0034 Da); (b) higher magnetic field to cover the whole mass range at once; (c) dynamic range extension by external mass filtering; and ...
TL;DR: “Petroleomics” is the characterization of petroleum at the molecular level and from sufficiently complete characterization of the organic composition of petroleum and its products, it should be possible to correlate (and ultimately predict) their properties and behavior.
Abstract: Each different molecular elemental composition—e.g., CcHhNnOoSs—has a different exact mass. With sufficiently high mass resolving power (m/Δm50% ≈ 400,000, in which m is molecular mass and Δm50% is the mass spectral peak width at half-maximum peak height) and mass accuracy (<300 ppb) up to ≈800 Da, now routinely available from high-field (≥9.4 T) Fourier transform ion cyclotron resonance mass spectrometry, it is possible to resolve and identify uniquely and simultaneously each of the thousands of elemental compositions from the most complex natural organic mixtures, including petroleum crude oil. It is thus possible to separate and sort petroleum components according to their heteroatom class (NnOoSs), double bond equivalents (DBE = number of rings plus double bonds involving carbon, because each ring or double bond results in a loss of two hydrogen atoms), and carbon number. “Petroleomics” is the characterization of petroleum at the molecular level. From sufficiently complete characterization of the organic composition of petroleum and its products, it should be possible to correlate (and ultimately predict) their properties and behavior. Examples include molecular mass distribution, distillation profile, characterization of specific fractions without prior extraction or wet chemical separation from the original bulk material, biodegradation, maturity, water solubility (and oil:water emulsion behavior), deposits in oil wells and refineries, efficiency and specificity of catalytic hydroprocessing, “heavy ends” (asphaltenes) analysis, corrosion, etc.