20 research outputs found
Effects of MEL-A on apoptosis of B16 cells.
<p>Cells were treated with different concentrations of MEL-A for 24 h. (a) ~ (f) refer to the cell population changes of B16 treated by 0, 6.0, 9.0, 12.0, 15.0, 25.0 μg/mL MEL-A, respectively. Most MEL-A-induced cells were evident in B2 fraction, and the tendency of the induced cells apoptosis was in a dose-dependent manner. Mean ± SD, n = 3.</p
The viabilities of B16 cells and NIH3T3 cells in response to MEL-A treatments.
<p>(a), B16 cells treated with increasing doses of MEL-A had obvious changes. (b), the viability of the normal NIH3T3 cells treated by 15.0 ÎĽg/mL MEL-A for 72 h. (c, d, e, f) refers to the photographs of untreated B16 cells, and cells treated with MEL-A for 24 h, 48 h and 72 h. (g, h, m, n) refers to the photographs of untreated NIH3T3 cells and cells treated with MEL-A for 24 h, 48 h, and 72 h, respectively.</p
<sup>1</sup>H NMR spectrum and <sup>13</sup>C NMR spectrum of MEL-A.
<p>(a), <sup>1</sup>H signals at 0~7.0 ppm and (b), <sup>13</sup>C signals at 0~180.0 ppm. (c), Structure of MELs, MEL-A: R<sub>1</sub> = R<sub>2</sub> = Ac; MEL-B: R<sub>1</sub> = Ac, R<sub>2</sub> = H; MEL-C: R<sub>1</sub> = H, R<sub>2</sub> = Ac; MEL-D: R<sub>1</sub> = R<sub>2</sub> = H, n = 6–16.</p
Effects of MEL-A on cell cycle distributions of B16 cells.
<p>Cells were treated with different concentrations of MEL-A for 24 h. (a) ~ (e) refer to the cell cycle distributions of B16 cells treated by 0, 9.0, 15.0, 20.0, 25.0 μg/mL MEL-A, respectively. G1/G0, S, G2/M and Sub-G1 indicate the different cell phases. Mean ± SD, n = 3. The results in (f) summarized the relative ratios of each cell cycle, indicating that MEL-A caused cell cycle arrest at the S phase. The cell population of Sub-G1 phase was slightly increased with exposure to above 15.0 μg/mL of MEL-A.</p
Detected MEL-A homologs with various masses and fatty acids chain combinations.
<p>Detected MEL-A homologs with various masses and fatty acids chain combinations.</p
The solution state of MEL-A in water.
<p>(a), mean particle sizes of MEL-A solution at the concentrations of 12.0 mg/L. (b), mean particle sizes of MEL-A solution at the concentrations of 12.0 ÎĽg/L. (c), the surface tension of MEL-A changed with various concentrations. The concentration at the curve break records the critical micelle concentration (CMC).</p
Biosurfactant–Protein Interaction: Influences of Mannosylerythritol Lipids‑A on β‑Glucosidase
In
this work, the influences of a biosurfactant, mannosylerythritol
lipids-A (MEL-A) toward β-glucosidase activity and their molecular
interactions were studied by using differential scanning calorimetry
(DSC), circular dichroism spectroscopy (CD), isothermal titration
calorimetry (ITC), and docking simulation. The enzyme inhibition kinetics
data showed that MEL-A at a low concentration (< critical micelle
concentration (CMC), 20.0 ± 5.0 μM) enhanced β-glucosidase
activity, whereas it inhibited the enzyme activity at higher concentrations
more than 20.0 μM, followed by a decreased <i>V</i><sub>max</sub> and <i>K</i><sub>m</sub> of β-glucosidase.
The thermodynamics and structural data demonstrated that the midpoint
temperature (<i>T</i><sub>m</sub>) and unfolding enthalpy
(Δ<i><i>H</i></i>) of β-glucosidase
was shifted to high values (76.6 °C, 126.3 J/g) in the presence
of MEL-A, and the secondary structure changes of β-glucosidase,
including the increased α-helix, β-turn, or random coil
contents, and a decreased β-sheet content were caused by MEL-A
at a CMC concentration. The further ITC and docking simulations suggested
the bindings of MEL-A toward β-glucosidase were driven by weak
hydrophobic interactions happened between the amino acid residues
of β-glucosidase and the fatty acid residues of MEL-A, in addition
to hydrogen bonds between amino acids and hydroxyl in glycosyl residues
of this biosurfactant
SnO<sub>2</sub>/Reduced Graphene Oxide Interlayer Mitigating the Shuttle Effect of Li–S Batteries
The short cycle life
of lithium–sulfur batteries (LSBs)
plagues its practical application. In this study, a uniform SnO<sub>2</sub>/reduced graphene oxide (denoted as SnO<sub>2</sub>/rGO) composite
is successfully designed onto the commercial polypropylene separator
for use of interlayer of LSBs to decrease the charge-transfer resistance
and trap the soluble lithium polysulfides (LPSs). As a result, the
assembled devices using the separator modified with the functional
interlayer (SnO<sub>2</sub>/rGO) exhibit improved cycle performance;
for instance, over 200 cycles at 1C, the discharge capacity of the
cells reaches 734 mAh g<sup>–1</sup>. The cells also display
high rate capability, with the average discharge capacity of 541.9
mAh g<sup>–1</sup> at 5C. Additionally, the mechanism of anchoring
behavior of the SnO<sub>2</sub>/rGO interlayer was systematically
investigated using density functional theory calculations. The results
demonstrate that the improved performance is related to the ability
of SnO<sub>2</sub>/rGO to effectively absorb S<sub>8</sub> cluster
and LPS. The strong Li–O/Sn–S/O–S bonds and tight
chemical adsorption between LPS and SnO<sub>2</sub> mitigate the shuttle
effect of LSBs. This study demonstrates that engineering the functional
interlayer of metal oxide and carbon materials in LSBs may be an easy
way to improve their rate capacity and cycling life
Controllably Designed “Vice-Electrode” Interlayers Harvesting High Performance Lithium Sulfur Batteries
An
interlayer has been regarded as a promising mediator to prolong the
life span of lithium sulfur batteries because its excellent absorbability
to soluble polysulfide efficiently hinders the shuttle effect. Herein,
we designed various interlayers and understand the working mechanism
of an interlayer for lithium sulfur batteries in detail. It was found
that the electrochemical performance of a S electrode for an interlayer
located in cathode side is superior to the pristine one without interlayers.
Surprisingly, the performance of the S electrode for an interlayer
located in anode side is poorer than that of pristine one. For comparison,
glass fibers were also studied as a nonconductive interlayer for lithium
sulfur batteries. Unlike the two interlayers above, these nonconductive
interlayer did displays significant capacity fading because polysulfides
were adsorbed onto insulated interlayer. Thus, the nonconductive interlayer
function as a “dead zone” upon cycling. Based on our
findings, it was for the first time proposed that a controllably optimized
interlayer, with electrical conductivity as well as the absorbability
of polysulfides, may function as a “vice-electrode”
of the anode or cathode upon cycling. Therefore, the cathodic conductive
interlayer can enhance lithium sulfur battery performance, and the
anodic conductive interlayer may be helpful for the rational design
of 3D networks for the protection of lithium metal
Metal–Organic Frameworks-Derived Co<sub>2</sub>P@N-C@rGO with Dual Protection Layers for Improved Sodium Storage
The
Co<sub>2</sub>P nanoparticles hybridized with unique N-doping carbon
matrices have been successfully designed employing ZIF-67 as the precursor
via a facile two-step procedure. The Co<sub>2</sub>P nanostructures
are shielded with reduced graphene oxide (rGO) to enhance electrical
conductivity and mitigate volume expansion/shrinkage during sodium
storage. As anode materials for sodium-ion batteries (SIBs), the novel
architectures of Co<sub>2</sub>P@N-C@rGO exhibited excellent sodium
storage performance with a high reversible capacity of 225 mA h g<sup>–1</sup> at 50 mA g<sup>–1</sup> after 100 cycles.
Our study demonstrates the significant potential of Co<sub>2</sub>P@N-C@rGO as anode materials for SIBs