7 research outputs found
Correlation of IgG responses in anogenital secretions and plasma.
No full textSpearman’s rank correlations of IgG responses for gp120 A244gD (CRF01_AE), gp70V1V2 92TH023 (CRF01_AE) and gp70V1 V2 Case A2 (subtype B) at weeks 2, 26, 48 and 72 in matched CVM (A-C), SP (D-E) and RS (F), and plasma of RV305 vaccine recipients are shown. Each group is color coded; red, ALVAC-HIV/AIDSVAX®B/E; green, AIDSVAX®B/E; blue, ALVAC-HIV. Numeric values above each plot depict r- and p-values. Significant p-value <0.05, GMT = Geometric Mean Titer.</p
Phymatodes fulgidus Hopping
No full textPhymatodes fulgidus Hopping (Fig. 12) Phymatodes fulgidus Hopping, 1928: 246. Type locality: Lorna, British Columbia, Canada. CNC This species is similar to P. concolor, with which it shares the coarse, even elytral punctation and small overall size. The two may be separated by antennomere II, which is more than one-half the length of III in P. fulgidus, and only one-third the length in P. concolor. Phymatodes fulgidus also has a glabrous pronotum and elytra, while P. concolor is clothed in short, erect setae. Phymatodes rainieri also has glabrous elytra, however, the elytra and pronotum are impunctate in that species. The type locality for this species is listed as Lorna, British Columbia, however, a town or city of that name does not appear to exist. It is presumed that the locality is around Lorna Lake or Lorna Pass in the Chilcotin Mountains near Big Creek, British Columbia, although this cannot be ascertained for certain. Specimens examined: 2, including the type of P. fulgidusPublished as part of Swift, Ian P. & Ray, Ann M., 2010, Nomenclatural changes in North American Phymatodes Mulsant (Coleoptera: Cerambycidae), pp. 35-52 in Zootaxa 2448 on page 43, DOI: 10.5281/zenodo.29419
EEA913972 Supplemental Material - Supplemental material for Chemometric differentiation of natural gas types in the northwestern Junggar Basin, NW China
No full textSupplemental material, EEA913972 Supplemental Material for Chemometric differentiation of natural gas types in the northwestern Junggar Basin, NW China by Yao-Ping Wang, Xin Zhan, Yuan Gao, Sibo Wang, Jia Xia and Yan-Rong Zou in Energy Exploration & Exploitation</p
Molecular Simulation of Resin and the Calculation of Molecular Bond Energy
No full textIn this study, average
structural characteristics of amber were
researched and used as an example to establish the three-dimensional
(3D) average structure of resin. Two coal samples containing solid
amber were collected from Fushun and Hunchun in Northeast China, from
which pure amber samples were separated and resin was extracted. Solid-state
nuclear magnetic resonance (13C NMR) spectroscopy was used
to obtain structural information of amber, and matrix-assisted laser
desorption ionization time-of-flight mass spectrometry was performed
on the resins to determine their molecular mass. The results of these
studies revealed that the average structure of amber was dominated
by cycloalkane, with a small amount of aromatic carbon, and there
were almost no aliphatic chains in the structure. The molecular masses
of the compounds in the resin were mainly in the range 99–750
Da, and the average molecular mass was ∼370 Da. To characterize
the resin chemical structure, two 3D molecular models based on density
functional theory were established taking amber as the example, and
the relevant molecular bond energies were calculated. Based on these
models, the interactions among the components in oil were studied,
and the binding energies of the different molecules were calculated.
In summary, in this study, amber was used as a medium to establish
an accurate molecular model of resin and proved that compared to hydrocarbon
compounds, resin molecules were more likely to interact with bitumen
Interaction between Organic Solvents and Three Types of Kerogen Investigated via Xray Diffraction
No full textIn
this work, for the first time, a new swelling method was applied
to study the chemical structure of kerogen. Structural changes during
the swelling process were detected via X-ray diffraction (XRD). Three
types of kerogen samples and three organic solvents were selected
for this study. It was found that kerogens have a selective absorption
of aromatic hydrocarbons compared with saturated hydrocarbons. Type
I kerogen demonstrated the strongest ability to sorb hydrocarbons;
it can sorb more than half of its own weight at normal temperature
and pressure (25 °C and 1.013 × 105 Pa). However,
under the same conditions, type III kerogen can sorb around 40% of
its own weight. XRD detection revealed that the microcrystalline structure
of kerogen was not affected by liquid organic matter during the swelling
process. Three kinds of organic solvent are mainly sorbed in the γ
band (amorphous carbon) comprising aliphatic carbon, and the γ
band swells under the swelling action, causing the value of dγ to increase. This study explored the
ability of kerogen to sorb hydrocarbon compounds and discovered the
chemical structural units that occur in kerogen during solvent swelling.
It is of great significance for the study of the hydrocarbon generation
and expulsion in oil shale under geological conditions and the structure
of kerogen
Chemometric Unmixing of Petroleum Mixtures by Negative Ion ESI FT-ICR MS Analysis
No full textIdentification
and quantification of mixed sources of petroleum
reservoirs as well as the sources of oil spills generally requires
the molecular composition information about the mixture. In this study,
the relative concentrations of a series of polar acidic compounds,
semiquantified by negative ion ESI FT-ICR MS, were calculated using
alternating least-squares (ALS) to unmix a group of oil mixtures prepared
in the laboratory using three endmember oils. It was shown that the
ALS results were accurate based on the relative concentrations of
polar acidic compounds, regardless of whether endmember oils and several
samples were removed from the sample set. ALS was able to accurately
calculate the composition of endmember oils, regardless of whether
they were included in the sample set. This method is relatively simple,
efficient, time-saving, and has potential for geological source identification
of mixed oils or oil spills
