19 research outputs found
2D NiFe/CeO<sub>2</sub> Basic-Site-Enhanced Catalyst via in-Situ Topotactic Reduction for Selectively Catalyzing the H<sub>2</sub> Generation from N<sub>2</sub>H<sub>4</sub>Ā·H<sub>2</sub>O
An
economical catalyst with excellent selectivity and high activity is
eagerly desirable for H<sub>2</sub> generation from the decomposition
of N<sub>2</sub>H<sub>4</sub>Ā·H<sub>2</sub>O. Here, a bifunctional
two-dimensional NiFe/CeO<sub>2</sub> nanocatalyst with NiFe nanoparticles
(ā¼5 nm) uniformly anchored on CeO<sub>2</sub> nanosheets supports
has been successfully synthesized through a dynamic controlling coprecipitation
process followed by in-situ topotactic reduction. Even without NaOH
as catalyst promoter, as-designed Ni<sub>0.6</sub>Fe<sub>0.4</sub>/CeO<sub>2</sub> nanocatalyst can show high activity for selectively
catalyzing H<sub>2</sub> generation (reaction rate (mol<sub>N2H4</sub> mol<sup>ā1</sup><sub>NiFe</sub> h<sup>ā1</sup>): 5.73
h<sup>ā1</sup>). As ceria is easily reducible from CeO<sub>2</sub> to CeO<sub>2ā<i>x</i></sub>, the surface
of CeO<sub>2</sub> could supply an extremely large amount of Ce<sup>3+</sup>, and the high-density electrons of Ce<sup>3+</sup> can work
as Lewis base to facilitate the absorption of N<sub>2</sub>H<sub>4</sub>, which can weaken the NāH bond and promote NiFe active centers
to break the NāH bond preferentially, resulting in the high
catalytic selectivity (over 99%) and activity for the H<sub>2</sub> generation from N<sub>2</sub>H<sub>4</sub>Ā·H<sub>2</sub>O
Ni/graphene Nanostructure and Its Electron-Enhanced Catalytic Action for Hydrogenation Reaction of Nitrophenol
Two-dimensional
(2D) heterostructured Ni/graphene nanocomposites
were constructed via electrostatic-induced spread by following in
situ-reduction growth process for magnetically recyclable catalysis
of <i>p</i>-nitrophenol to <i>p</i>-aminophenol.
The heterostructures with large 2D surface and moderate inflexibility
enable the superior catalytic activity and selectivity toward hydrogenation
reaction for p-nitrophenol. On the basis of high-efficiency utilization
of Ni Nps catalysis activity and electron-enhanced effect from graphene,
the coupling effect of Ni/graphene magnetic nanocomposites can lead
to highly catalytic activity for the hydrogenation reaction of p-nitrophenol
with the pseudo-first-order rate constants of 11.7 Ć 10<sup>ā3</sup> s<sup>ā1</sup>, which is over 2-fold compared to Ni Nps (5.45
Ć 10<sup>ā3</sup> s<sup>ā1</sup>) and higher than
reported noble metal nanocomposites. Complete conversion of <i>p</i>-nitrophenol was achieved with selectivity to <i>p</i>-aminophenol as high as 90% under atmosphere and room temperature.
Additionally, this heterostructured magnetic nanocatalyst can be efficiently
recycled with long lifetime and stability over 10 successive cycles.
This work displayed the value of non-noble metal/graphene nanocomposites
in catalysts development for green chemistry
Solvothermal Synthesis of NiCo Alloy Icosahedral Nanocrystals
New dimensional NiCo alloy icosahedral nanocrystals with
controllable
size have been first reported and synthesized through an Ostwald ripening
process in a template-absent solvothermal reaction system. The proposed
synthesis is corroborated by scanning electron microscopy (SEM), transmission
electron microscopy (TEM), X-ray diffraction analysis (XRD), energy-dispersive
X-ray spectroscopy (EDX), and X-ray photoelectron spectroscopy (XPS).
The as-obtained NiCo icosahedral nanocrystals exhibit the size- and
component-dependent magnetic behaviors. The coercivity (<i>H</i><sub>c</sub>) depends on both the magnetocrystalline and structure
anisotropy, and the saturation magnetizations (<i>M</i><sub>s</sub>) decided by the content of Co. <i>H</i><sub>c</sub> decreases from 189.02 to 147.95 Oe with the increase of the icosahedral
NCs size from 200 to 850 nm. Especially, the <i>H</i><sub>c</sub> of the icosahedral NCs at 157.38 Oe is higher than that of
nanospheres at 104.02 Oe. In addition, <i>M</i><sub>s</sub> and <i>H</i><sub>c</sub> increased with the increasing
Co content. It can be an ideal building block for applications in
magnetic media, sensors, and other devices
Fe<sub>3</sub>O<sub>4</sub>/FeNi Embedded Nanostructure and Its Kinetic Law for Selective Catalytic Reduction of <i>p</i>āNitrophenyl Compounds
To meet the requirement
of high catalytic efficiency toward the reduction of <i>p</i>-nitrophenyl compounds, we designed a new one-dimensional Fe<sub>3</sub>O<sub>4</sub>/FeNi embedded-nanostructured catalyst synthesized
by a one-pot controlling-growth-reduction process in a solvothermal
system, in which Fe<sub>3</sub>O<sub>4</sub> phase was implanted in
the base of FeNi alloy. In the Fe<sub>3</sub>O<sub>4</sub>/FeNi catalyst
system, the Fe<sub>3</sub>O<sub>4</sub> embedded phase attracts the
nitro group of <i>p</i>-nitrophenyl compounds by its high-density
electrons, which can efficiently promote the activity of amorphous
FeNi active centers for selective catalysis toward the reduction of
a range of <i>p</i>-nitrophenyl compounds. Moreover, for
the para-group in the nitrophenyl compounds, an increasing electron-donating
power contributes to a higher catalytic activity, while electron-withdrawing
power obtains the reverse case. Additionally, the Fe<sub>3</sub>O<sub>4</sub>/FeNi composite nanocatalyst exhibited an outstanding cycling
performance over 20 times without obvious performance decay. This
work opens an avenue to design more powerful non-noble metal catalysts
for green chemistry
Novel-Phase Structural High-Efficiency Anode Catalyst for Methanol Fuel Cells: Ī±ā(NiCu)<sub>3</sub>Pd Nanoalloy
An approach has been explored
to highly improve the catalytic activity and stability for methanol
oxidation reaction (MOR) by using dominant Ī±-(NiCu)<sub>3</sub>Pd phase-structural NiCuPd nanoparticles (NPs) as anode catalysts.
The NiCuPd alloy NPs are monodispersed with the diameter of ā¼10
nm and have been prepared by the reduction of PdĀ(acac)<sub>2</sub>, NiĀ(acac)<sub>2</sub>, and CuĀ(acac)<sub>2</sub> following alloying
growth process. In the NiāCuāPd alloy system, Ni atoms
fused in Cu<sub>3</sub>Pd phase to form Ī±-(NiCu)<sub>3</sub>Pd phase together with NiCuPd solid solution phase. As Ni concentration
gradually enriched, the crystallinity of Ī±-(NiCu)<sub>3</sub>Pd became higher, while its percentage decreased by one degree. Owing
to the synergistic effect between components and facet atom arrangement,
the catalytic activity and stability of NiCuPd NPs can be adjusted
toward the MOR in alkaline media. The maximized crystallinity of Ī±-(NiCu)<sub>3</sub>Pd results in the largest catalytic activity. Compared with
commercial Pd/C with (111) facets, Ī±-(NiCu)<sub>3</sub>Pd phase
with (117) facets afforded a more open-atom arrangement surface and
exhibited the remarkable catalytic activity and stability. Containing
maximized crystallinity of Ī±-(NiCu)<sub>3</sub>Pd, Ni<sub>63</sub>Cu<sub>12</sub>Pd<sub>25</sub> NP-modified electrode, afforded the
highest catalytic activity (333 mAĀ·mg<sup>ā1</sup>) toward
the MOR, which is about 2.5 times higher than that of the commercial
Pd/C-modified one (145 mAĀ·mg<sup>ā1</sup>). Combining
the advantages of high electrochemical activity, stability, and economical
effectiveness, the novel phase of Ī±-(NiCu)<sub>3</sub>Pd has
great potential as an anode catalyst for methanol fuel cells
Synthesis of Benzimidazo[1,2ā<i>c</i>]quinazolines via Metal-Free Intramolecular CāH Amination Reaction
A series
of benzimidazoĀ[1,2-<i>c</i>]Āquinazolines have
been synthesized via phenyliodineĀ(III) diacetate (PIDA)-mediated intramolecular
CāH bond cycloamination reaction. This method results in a
direct oxidative CāN bond formation in a complex molecule by
using a metal-free protocol. A plausible reaction mechanism was described
on the basis of the experiments. Some new compounds were evaluated
for their antitumor activity against HUH 7 and SK-HEP-1 hepatocarcinoma
cell line. Among the compounds screened, <b>4m</b> was found
to be the most active compound against HUH 7
Simple and Green Strategy for the Synthesis of āPathogen-Mimeticā Glycoadjuvant@AuNPs by Combination of Photoinduced RAFT and Bioinspired Dopamine Chemistry
Innate
immune responses recognizing pathogen associated molecular
patterns (PAMPs) play a crucial role in adaptive immunity. Toll-like
receptors (TLRs) and C-type lectin receptors (CLRs) contribute to
antigen capture, uptake, presentation and activation of immune responses.
In this contribution, metal-free reversible additionāfragmentation
chain transfer (RAFT) polymerization of <i>N</i>-3,4-dihydroxybenzenethyl
methacrylamide (DMA) and 2-(methacrylamido) glucopyranose (MAG) under
sunlight irradiation using 2-cyanoprop-2-yl-Ī±-dithionaphthalate
(CPDN) as iniferter agent, can be employed to fabricate the multivalent
glycopolymer containing bioresponsive sugar group and multifunctional
catechol functionalities. The polymerization behavior is investigated
and it presents controlled features. Moreover, bioinspired dopamine
chemistry can be successfully utilized to form in situ glycopolymer-coated
gold nanoparticles (AuNPs) without the need of additional reducing
reagent, design āpathogen-mimeticā glycoadjuvant recognized
by both CLRs and TLRs. The synthetic glycoadjuvant is found to enhance
the adjuvant activity as āinfected signalsā in vitro
Synthesis of Reusable NiCo@Pt Nanoalloys from Icosahedrons to Spheres by Element Lithography and Their Synergistic Photocatalysis for Nano-ZnO toward Dye Wastewater Degradation
The NiCo@Pt nanoallys from icosahedrons to hollow spheres
are synthesized
through the element lithographic process based on NiCo nanoicosahedrons.
The morphology, structure, magnetic property, and its synergistic
photocatalysis of nano-ZnO have been investigated by scan electron
microscopy, transmission electron microscopy, X-ray diffraction analysis,
energy dispersive X-ray analysis, X-ray photoelectron spectroscopy,
vibration sample magnetometry measurement, and UVāvis spectroscopy.
The as-prepared NiCo@Pt magnetic hollow nanospheres have the UV- and
visible-light-driven synergistic photocatalysis for ZnO toward the
degradation of dye wastewater. Especially the different coorporation
photocatalysis can be observed under UV- and UV-filtered visible-light
illumination, in which Ni<sub>45</sub>Co<sub>37</sub>@Pt<sub>18</sub> under UV-light and Ni<sub>31</sub>Co<sub>26</sub>@Pt<sub>43</sub> under visible-light exhibit the strongest enhancement for the photocatalytic
reactivity of ZnO, respectively. The coercivity <i>Hc</i> and saturation magnetization <i>Ms</i> first decrease
with the loss of Co displaced by Pt and then increase with the increase
of Pt content, which shows the parabolic variation in which the Ni<sub>40</sub>Co<sub>34</sub>@Pt<sub>26</sub> are lowest
NaBa<sub>4</sub>(GaB<sub>4</sub>O<sub>9</sub>)<sub>2</sub>X<sub>3</sub> (X = Cl, Br) with NLO-Active GaO<sub>4</sub> Tetrahedral Unit: Experimental and ab Initio Studies
Two
gallium borates, NaBa<sub>4</sub>(GaB<sub>4</sub>O<sub>9</sub>)<sub>2</sub>X<sub>3</sub> (X = Cl, Br), were synthesized by high
temperature solution method. The title compounds crystallize in the
same space group <i>P</i>4<sub>2</sub><i>nm</i>. Their structures feature a 3D [GaB<sub>4</sub>O<sub>9</sub>]<sub>ā</sub> framework composed of GaO<sub>4</sub> tetrahedra and
B<sub>4</sub>O<sub>9</sub> groups. NaBa<sub>4</sub>(GaB<sub>4</sub>O<sub>9</sub>)<sub>2</sub>X<sub>3</sub> (X = Cl, Br) compounds show
the largest second harmonic generation responses among alkali metal
and alkaline-earth metal gallium borates that are 1.5 and 1.1 times
that of KH<sub>2</sub>PO<sub>4</sub> (KDP), respectively, and are
type I phase-matchable. Combined electronic structure and SHG density
calculations as well as local dipole moment analysis have revealed
that BāO groups and GaO<sub>4</sub> tetrahedron play major roles in SHG response
Deep-Learning-Based DrugāTarget Interaction Prediction
Identifying interactions between
known drugs and targets is a major
challenge in drug repositioning. In silico prediction of drugātarget
interaction (DTI) can speed up the expensive and time-consuming experimental
work by providing the most potent DTIs. In silico prediction of DTI
can also provide insights about the potential drugādrug interaction
and promote the exploration of drug side effects. Traditionally, the
performance of DTI prediction depends heavily on the descriptors used
to represent the drugs and the target proteins. In this paper, to
accurately predict new DTIs between approved drugs and targets without
separating the targets into different classes, we developed a deep-learning-based
algorithmic framework named DeepDTIs. It first abstracts representations
from raw input descriptors using unsupervised pretraining and then
applies known label pairs of interaction to build a classification
model. Compared with other methods, it is found that DeepDTIs reaches
or outperforms other state-of-the-art methods. The DeepDTIs can be
further used to predict whether a new drug targets to some existing
targets or whether a new target interacts with some existing drugs