24 research outputs found
Investigation on Upconversion Luminescence and Optical Temperature Sensing Behavior for Ba<sub>2</sub>Gd<sub>2</sub>Si<sub>4</sub>O<sub>13</sub>:Yb<sup>3+</sup>-Er<sup>3+</sup>/Ho<sup>3+</sup>/Tm<sup>3+</sup> Phosphors
To
explore new phosphors for temperature sensing with high detection
sensitivity, the Yb<sup>3+</sup>-Er<sup>3+</sup>/Ho<sup>3+</sup>/Tm<sup>3+</sup> doped Ba<sub>2</sub>Gd<sub>2</sub>Si<sub>4</sub>O<sub>13</sub> (BGS) was designed. Different strategies were introduced based on
the upconversion (UC) luminescence. For BGS:0.2Yb<sup>3+</sup>,0.02Er<sup>3+</sup>, the fluorescence intensity ratio (FIR) of two green emissions
of Er<sup>3+</sup> shows a gradual enhancement with increasing temperature
due to the thermally coupled levels. The piecewise expression of sensitivity
was proposed in the temperature range of 293–553 K based on
the Boltzmann distribution. For BGS:0.2Yb<sup>3+</sup>,0.01Ho<sup>3+</sup>, the FIR of the red to green emissions of Ho<sup>3+</sup> changes with temperature, showing a linear relationship from 293
to 453 K. The absolute sensitivity was gained to be 0.0452 K<sup>–1</sup>. For BGS:0.2Yb<sup>3+</sup>,0.02Tm<sup>3+</sup>, the high absolute
and relative sensitivities were both achieved by employing the thermally
coupled (<sup>3</sup>F<sub>2</sub>,<sup>3</sup>F<sub>3</sub>) and <sup>3</sup>H<sub>4</sub> levels of Tm<sup>3+</sup>. The above study could
have special reference to the development of new luminescent materials
with high sensitivity
Solvent Extraction of Superfine Pulverized Coal. Part 2. Free-Radical Characteristics
To better explore coal macromolecular
models from the extraction
aspects, the behaviors of free radicals during the solvent extraction
of superfine pulverized coal were studied. The electron paramagnetic
resonance (EPR) method was employed to characterize the extracts and
extraction residues (ERs) from the pyridine (PY) and tetrahydrofuran
(THF) extraction processes. The EPR parameters of different paramagnetic
centers were analyzed through the peak deconvolution, and the detailed
extraction mechanisms were discussed. The result suggests that the
particle size and polarity of the reagent have the combined influences
on the free-radical characteristics during the extraction process.
Compared to the raw coals (rcs), the free-radical concentrations of
the ER show a similar level, while these are 1 order of magnitude
lower for the extracts (about 6 to 9% of rcs). In addition, PY with
higher polarity is prone to attack the non-covalent interactions like
hydrogen bonds, which can extract more abundant molecule components
connected by charge-transfer forces, resulting in 35.42% higher spin
concentrations compared to the THF extracts. On the other hand, THF
with an affinity with oxygen-containing groups can loosen the coal
structure, which extracts more stable oxygenated compounds. In addition,
THF can effectively target the π–π interactions,
and the paramagnetic centers on these aromatic clusters can be better
preserved due to the steric hindrance effect. The study sheds light
on better elucidation of coal macromolecular structures, which provides
support on better understanding coal pyrolysis and liquefaction behaviors
Interactions of Oil Shale and Hydrogen-Rich Wastes during Co-pyrolysis: Co-pyrolysis of Oil Shale and Waste Tire
Co-pyrolysis of oil shale and waste tire could be an
economical
and environmental-friendly way to recover waste tire if it could improve
the quality and quantity of pyrolytic shale oil. In this paper, a
thermogravimetric system coupled with a mass spectrometry system (TG-MS)
was applied to investigate pyrolytic behaviors of co-pyrolysis. It
was found that co-pyrolysis had little effect on char formation; however,
the MS system detected that co-pyrolysis boosted gaseous volatiles
of a medium molecular weight as well as H2 and H radicals.
Therefore, simulating cells were constructed to run reactive force
filed molecular dynamics (ReaxFF MD) simulations, which aim to further
investigate mechanisms of co-pyrolysis. In simulations, intermediate
products were categorized into six classes according to the carbon
number. Simulations indicated that co-pyrolysis had little effect
on char mass fractions (40 ≤ C), which coincided with the TG
findings. Meanwhile, co-pyrolysis favored the breakage of CC bonds
and CO bonds within kerogen and thus resulted in more light shale
oil with less heteroatom O. Specifically, a more light oil fraction
(5 ≤ C ≤ 9) is the product of rearrangement reactions
whose reactants are the gaseous intermediate (C < 5) from CC bond
rupture. The heteroatom O from CO bond rupture is much more likely
to transform into H2O
NO Emissions from Oxidizer-Staged Combustion of Superfine Pulverized Coal in the O<sub>2</sub>/CO<sub>2</sub> Atmosphere
The
CO<sub>2</sub> control technologies have been studied extensively
in recent years, among which the oxy-fuel combustion shows a vast
number of advantages to be explored commercially in the near future.
However, unexpected problems, such as bad combustion characteristics
and serious slagging and depositing issues, show up with the replacement
of N<sub>2</sub> by CO<sub>2</sub>. These inherent disadvantages in
normal O<sub>2</sub>/CO<sub>2</sub> combustion can be restrained via
combining the superfine pulverized coal and oxy-fuel combustion technology.
The axial NO emission characteristics of this new technology were
focused here. The effects of the oxidizer staging were also studied
in detail. Results indicate that the axial NO emissions of the unstaged
O<sub>2</sub>/CO<sub>2</sub> combustion basically showed “M”
type of distributions along the furnace. The “M” type
can be divided into the main homogeneous and heterogeneous reaction
zones. The oxidizer-staged O<sub>2</sub>/CO<sub>2</sub> combustion
can mitigate NO emissions effectively. Coals with smaller particle
sizes and higher volatiles are more advantageous for eliminating NO
in the staged O<sub>2</sub>/CO<sub>2</sub> combustion technology.
The superfine pulverized coal used with certain low NO combustion
technologies shows significant superiority in both combustion performance
and NO abatement
Table_1_The effect of diet quality on the risk of developing gestational diabetes mellitus: A systematic review and meta-analysis.docx
ObjectiveTo examine the effect of diet quality on the risk of gestational diabetes mellitus.MethodsThis review included cohort and case-control studies reporting an association between diet quality and gestational diabetes mellitus. We searched PubMed, Cochrane Library, Web of Science, Embase, PsycINFO, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for studies published from inception to November 18, 2022. The Newcastle-Ottawa Scale was used for quality assessment, and the overall quality of evidence was assessed using the GRADEpro GDT.ResultsA total of 19 studies (15 cohort, four case-control) with 108,084 participants were included. We found that better higher diet quality before or during pregnancy reduced the risk of developing gestational diabetes mellitus, including a higher Mediterranean diet (OR: 0.51; 95% CI: 0.30–0.86), dietary approaches to stop hypertension (OR: 0.66; 95% CI: 0.44–0.97), Alternate Healthy Eating Index (OR: 0.61; 95% CI: 0.44–0.83), overall plant-based diet index (OR: 0.57; 95% CI: 0.41–0.78), and adherence to national dietary guidelines (OR: 0.39; 95% CI:0.31–0.48). However, poorer diet quality increased the risk of gestational diabetes mellitus, including a higher dietary inflammatory index (OR: 1.37; 95% CI: 1.21–1.57) and overall low-carbohydrate diets (OR: 1.41; 95% CI: 1.22–1.64). After meta-regression, subgroup, and sensitivity analyses, the results remained statistically significant.ConclusionsBefore and during pregnancy, higher diet quality reduced the risk of developing gestational diabetes mellitus, whereas poorer diet quality increased this risk.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42022372488.</p
Fig 3 -
(A) FINS, (B) HOMA-IR, (C) HOMA-IS, and (D) HOMA-β of the four rat groups.*P < 0.05 vs. the NC group.</p
Differentially expressed proteins in the placentas of the HFHS+STZ and NC groups.
Differentially expressed proteins in the placentas of the HFHS+STZ and NC groups.</p
