16 research outputs found
Multifunctions of Net Surface Charge in the Reaction on a Single Nanoparticle
Electric charge can determine where
and how reaction occurs, but the relationship between net surface
charge and activity is unclear because of the difficulty in simultaneously
detecting charge and activity at the single nanoparticle level. In
this study, we use ions as probes to detect the distribution of net
surface charge and track galvanic replacement reaction on single Ag
nanowire in situ and in real time by dark-field microscopy. The two
ends of a single Ag nanowire are found to possess more net surface
charges than the middle part. The unevenly distributed net surface
charge performs multifunctions in determining the reaction activity,
selectivity, and product shape. Owing to the interaction between the
net surface charges and ions in solution, many clusters are generated
on the Ag nanowires. The locations of generating these clusters are
where faster deposition reaction happens. Furthermore, larger size
Ag compounds with clear shape are produced near the two ends by attracting
Ag<sup>+</sup> at lower [HAuCl<sub>4</sub>], but larger size Ag–Au
alloy clusters with veiled shape are produced near the center by repelling
AuCl<sub>4</sub><sup>–</sup> at higher [HAuCl<sub>4</sub>].
Given that net surface charge generally exists in nanoscience, the
methodology and results obtained from this research can be widely
used in other single-shaped nanomaterials
Single-Molecule Kinetics Reveals a Hidden Surface Reaction Intermediate in Single-Nanoparticle Catalysis
Detecting
and characterizing reaction intermediates is not only
important and powerful for elucidating reaction mechanisms but also
challenging in general because of the low populations of intermediates
in a reaction mixture. Studying surface reaction intermediates in
heterogeneous catalysis presents additional challenges, especially
the ubiquitous structural heterogeneity among the catalyst particles
and the accompanying polydispersion in reaction kinetics. Here we
use single-molecule fluorescence microscopy to study two complementary
types of Au nanocatalystsî—¸mesoporous-silica-coated Au nanorods
(i.e., Au@mSiO<sub>2</sub> nanorods) and bare 5.3 nm pseudospherical
Au nanoparticlesî—¸at the single-particle, single-turnover resolution
in catalyzing the oxidative deacetylation of amplex red by H<sub>2</sub>O<sub>2</sub>, a synthetically relevant and increasingly important
probe reaction. For both nanocatalysts, the distributions of the microscopic
reaction time from a single catalyst particle clearly reveal a kinetic
intermediate, which is hidden when the data are averaged over many
particles or only the time-averaged turnover rates are examined for
a single particle. This intermediate is further resolvable by single-turnover
kinetics at the subparticle level. Detailed single-molecule kinetic
analysis leads to a quantitative reaction mechanism and supports that
the intermediate is likely a surface-adsorbed one-electron-oxidized
amplex red radical. The quantitation of kinetic parameters further
allows for the evaluation of the large reactivity inhomogeneity among
the individual nanorods and pseudospherical nanoparticles, and for
Au@mSiO<sub>2</sub> nanorods, it uncovers their size-dependent reactivity
in catalyzing the first one-electron oxidation of amplex red to the
radical. Such single-particle, single-molecule kinetic studies are
expected to be broadly useful for dissecting reaction kinetics and
mechanisms
Relationship Between the Use of Statins and Patient Survival in Colorectal Cancer: A Systematic Review and Meta-Analysis
<div><p>Background</p><p>Studies have indicated that statins influence the risks and mortality rates of several types of solid tumors. However, the association between statin use and survival in patients with colorectal cancer (CRC) remains unclear.</p><p>Methods</p><p>We searched the PubMed and Embase databases for relevant studies published up to September 2014 that assessed statin use and CRC prognosis. The primary outcomes were overall survival (OS) and cancer-specific survival (CSS). The secondary outcomes were disease-free survival (DFS) and recurrence-free survival (RFS). Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted and pooled with Mantel–Haenszel random-effect modeling. All statistical tests were two-sided.</p><p>Results</p><p>Four studies on post-diagnosis statin therapy and five studies on pre-diagnosis statin use were included in our meta-analysis of 70,608 patients. Compared with the non-users, the patients with post-diagnosis statin use gained survival benefits for OS (HR 0.76; 95% CI: 0.68 to 0.85, P<0.001) and CSS (HR 0.70; 95% CI: 0.60 to 0.81, P<0.001). In addition, we observed that pre-diagnosis statin use prolonged the survival of patients with CRC for OS (HR 0.70; 95% CI: 0.54 to 0.91, P=0.007) and CSS (HR 0.80; 95% CI: 0.74 to 0.86, P<0.001). However, we did not observe a survival benefit for DFS (HR 1.13; 95% CI: 0.78 to 1.62, P=0.514) or RFS (HR 0.98; 95% CI: 0.36 to 2.70, P=0.975) in the CRC patients with post-diagnosis statin use.</p><p>Conclusions</p><p>Statin use before or after cancer diagnosis is related to reductions in overall and cancer-specific mortality in colorectal cancer survivors.</p></div
Fixation of Zinc(II) Ion to Dioxygen in a Highly Deformed Porphyrin: Implications for the Oxygen Carrier Mechanism of Distorted Heme
Three <i>saddle</i>-type nonplanar zinc porphyrins strapped
by two short alkyl linkers have been synthesized. The deformation
induced by the linkers can cause a spectral red shift of >30 nm
compared
with the absorption maxima of regular porphyrins and can also regulate
the electronic structure of the central zincÂ(II) ion. The zincÂ(II)
ion then complexes and activates a free dioxygen to form a superoxide
group ligand by enlarging the splitting of energy levels of d orbitals
under strong core deformation. The fixation of dioxygen can be reasonably
explained by the Dewar–Chatt–Duncanson model. These
results indicate that this type of saddle porphyrin has the potential
to be used as a new model system of heme
Forest plot of statins use after diagnosis of colorectal cancer and patient survival.
<p>Forest plot of statins use after diagnosis of colorectal cancer and patient survival.</p
Baseline characteristics of included studies in the meta-analysis.
<p>Abbreviations: NR, not reported; Pre, prediagnosis; Post, postdiagnosis; S, surgery; chemo, chemotherapy; OS, overall survival; CSS, cancer-specific survival; DFS, disease-free survival; RFS, recurrence-free survival; BMI, Body Mass Index; NSAIDs; Non-steroidal anti-inflammatory drugs; AJCC, American Joint Committee on Cancer; ACEIs, angiotensin converting enzyme inhibitors;</p><p>Baseline characteristics of included studies in the meta-analysis.</p
Funnel of statins use before and after diagnosis of colorectal cancer and patient survival.
<p>Funnel of statins use before and after diagnosis of colorectal cancer and patient survival.</p
Forest plot of statins use before diagnosis of colorectal cancer and patient survival.
<p>Forest plot of statins use before diagnosis of colorectal cancer and patient survival.</p
Scalable Parallel Screening of Catalyst Activity at the Single-Particle Level and Subdiffraction Resolution
High-throughput and quantitative
screening of catalyst activity is crucial for guiding the work cycles
of catalyst improvements and optimizations. For nanoparticle catalysts,
their inherent heterogeneity makes it desirable to screen them at
the single-particle level. Here, we report a single-molecule fluorescence
microscopy approach that can screen the activity quantitatively of
a large number of catalyst particles in parallel at the single-particle
level and with subdiffraction spatial resolution. It can identify
directly high activity catalyst particles and resolve subpopulations
in mixtures of catalysts. It is readily scalable and broadly applicable
to heterogeneous catalysts. Using ensemble measurements to establish
activity correlations between different reactions, we further show
that this approach can be extended to assess catalysts in reactions
that do not involve fluorescent molecules. Coupled with high-throughput
catalyst preparation and high-resolution structural/compositional
analysis, this screening approach has promise in accelerating the
development and discovery of new or better catalysts