Latest ArticlesNanoscale low-dimensional chiral architectures are increasingly receiving scientific interest, because of their potential applications in many fields such as chiral recognition, separation and transformation. Using 6, 12-dibromochrysene (DBCh), we successfully constructed and characterized the large-area two-dimensional chiral networks on Au(111) and one-dimensional metal-liganded chiral chains on Cu(111) respectively. The reasons and processes of chiral transformation of chiral networks on Au(111) were analyzed. We used scanning tunneling spectroscopy (STS) to analyze the electronic state information of this chiral structure. This work combines scanning tunneling microscopy (STM) with non-contact atomic force microscopy (nc-AFM) techniques to achieve ultra-high-resolution characterization of chiral structures on low-dimensional surfaces, which may be applied to the bond analysis of functional nanofilms. Density functional theory (DFT) was used to simulate the adsorption behavior of the molecular and energy analysis in order to verify the experimental results.
Protecting clusters from coalescing by ligands has been universally adopted in the chemical synthesis of atomically precise clusters. Apart from the stabilization role, the effect of ligands on the electronic properties of cluster cores in constructing superatoms, however, has not been well understood. In this letter, a comprehensive theoretical study about the effect of an organic ligand, methylated N-heterocyclic carbene (C5N2H8), on the geometrical and electronic properties of the aluminum-based clusters XAl12 (X = Al, C and P) featuring different valence electron shells was conducted by utilizing the density functional theory (DFT) calculations. It was observed that the ligand can dramatically alter the electronic properties of these aluminum-based clusters while maintaining their structural stability. More intriguingly, different from classical superatom design strategies, the proposed ligation strategy was evidenced to possess the capability of remarkably reducing the ionization potentials (IP) of these clusters forming the ligated superalkalis, which is regardless of their shell occupancy. The charge transfer complex formed during the ligation process, which regulates the electronic spectrum through the electrostatic Coulomb potential, was suggested to be responsible for such an IP drop. The ligation strategy highlighted here may provide promising opportunities in realizing the superatom synthesis in the liquid phase.
Hydrogen peroxide (H2O2) synthesis generally involves the energy-intensive anthraquinone process. Alternatively, electrochemical synthesis provides a green, economical, and environmentally friendly route to prepare H2O2 via the two-electron oxygen reduction reaction, but this process requires efficient catalysts with high activity and selectivity simultaneously. Here, we report an N, O co-doped carbon xerogel-based electrocatalyst (NO-CX) prepared by a simple and economical method. The NO-CX catalyst exhibits a high H2O2 selectivity over 90% in a potential range of 0.2–0.6 V and a high H2O2 production rate of 1410 mmol gcat−1 h−1. The density functional theory calculations demonstrate that the coupling effect between N and O can effectively induce the redistribution of surface charge and the edge carbon atom adjacent to an ether group and a graphite nitrogen atom is the active site. This work provides a straightforward and low-cost process to produce highly selective H2O2 catalysts, which is in place for the expansion of electrocatalytic synthesis of useful chemicals.
Understanding and establishing the structure-activity relation of nanoparticles is a prerequisite for rational design of high-performance electrocatalysts. Cu2O nanoparticles enclosed with different crystal facets, namely, o-Cu2O NPs with {111} facets, c-Cu2O NPs with {100} facets are prepared and their electrocatalytic properties for oxygen evolution reaction (OER) in alkaline condition are evaluated at single nanoparticle level with a combination of scanning electrochemical cell microscopy and scanning electron microscopy. It is found that the o-Cu2O NPs have significantly superior OER electrocatalytic activity compared to c-Cu2O, which is almost inert. The estimated turnover frequency (TOF) at 1.97 V vs. RHE on {111} facet increases from 4 s−1 to 115 s−1 with the octahedron edge length decreasing from 1.3 µm to 100 nm. Deposition of carbon on c-Cu2O surface barely promotes the activity, suggesting the inherent poor electric conductivity within the nanocrystal is most likely the reason for low activity. This work provides direct probing to single transition metal oxide crystals with dramatically different activity.
Ammonia is one of the most essential chemicals in the modern society but its production still heavily relies on energy-consuming Haber-Bosch processes. The photocatalytic reduction of nitrogen with water for ammonia production has attracted much attention recently due to its synthesis under mild conditions at room temperature and atmospheric pressure using sunlight. Herein, we report a high-performance Au/MIL-100(Cr) photocatalyst, comprising MIL-100(Cr) and Au nanoparticles in photocatalytic nitrogen reduction to ammonia at ambient conditions under visible light irradiation. The optimized photocatalyst (i.e., 0.10Au/MIL-100(Cr)) achieved the excellent ammonia production rate with 39.9 µg gcat−1 h−1 compared with pure MIL-100(Cr) (2.73 µg gcat−1 h−1), which was nearly 15 times that on pure MIL-100(Cr). The remarkable activity could be attributed to the adsorption-plasmonic synergistic effects in which the MIL-100(Cr) and Au are responsible to the strong trapping and adsorption of N2 molecules and photo-induced plasmonic hot electrons activating and decomposing the N2 molecules, respectively. This study might provide a new strategy for designing an efficient plasmonic photocatalyst to improve the photocatalytic performance of N2 fixation under visible light irradiation.
Although surface-enhanced Raman spectroscopy (SERS) has been applied for gathering fingerprint information, even in single molecule analysis, the decayed Raman signals in aqueous solutions largely obstruct the on-site insight reaction process. In this study, large-scaled semiconductor films with multi-walled (TiO2/WO3/TiO2) nanopore distribution are fabricated by combining electrochemical anodization and sputtering technique, and then employed as the SERS substrates for detection of molecules at the solid/liquid interfaces. Given the remarkably improved electrochromic property of the multi-walled film, such SERS substrates were endowed with tunable oxygen vacancy (VO) density and distribution via simply applying electrochemical bias voltage, which enabled one to achieve an enhanced charge transfer efficiency and thus a remarkably increased Raman signal even in solution. The VO-rich SERS substrate is highly repeatable, thus providing a reliable platform for in-situ monitoring of the target molecules or intermediates at the solid/liquid interfaces.
Amyloid beta-peptide 1–42 (Aβ1–42) is one of the biomarkers of Alzheimer's disease, and its selective capture and quantitative detection are important for diagnosis and treatment of Alzheimer's disease. Herein, copper(Ⅱ) ions-immobilized virus-like hollow covalent organic frameworks (V-HCOFs@Cu2+) were synthesized by a facile approach. The as-prepared V-HCOFs@Cu2+ showed unique morphology, ultra-high specific surface (2552 m2/g), uniform mesoporous structure (3.2 nm), superior chemical stability and abundant binding sites. Based on these excellent properties, the V-HCOFs@Cu2+ could be adopted as an ideal enrichment probe for highly efficient capture of Aβ1–42, exhibiting high adsorption capacity (320 mg/g), and fast adsorption equilibration time (3 min). In addition, an attractive approach of the V-HCOFs@Cu2+-based matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) was developed for the rapid screening and quantitative analysis of Aβ1–42 in human serum by using C-peptide as an internal standard, which exhibited low limit of detection (LOD, 0.2 fmol/µL), and satisfactory recovery. This work provides an alternative solution for enrichment of biomarkers and also offers the potential applications of COFs in clinical analysis
Stimuli-responsive vesicles (SRVs) have been widely exploited as smart nanocarriers for biomedical applications. Herein, high-performance SO2-responsive nanovesicles were reported to exemplify a new mode of SRVs. Structurally, the sensory vesicles were based on amphiphilic hydrogen-bonded (HB) polymers which can be facilely fabricated via modular self-assembly. The HB polymers are designed to consist of a melamine-barbituric acid HB skeleton with pendant anthracene fluorophores and amphiphilic side chains. Upon stimulation with increasing amount of SO2, the vesicles in aqueous solution undergo an unusual morphology evolution including rapid fission into small ones, swelling and final collapse of the offspring vesicles. During this process, the intrinsic fluorescence response of the vesicles allows intuitive tracking of the hierarchical structural evolution of the self-assembled membranes and straightforward quantitation of the stimuli. This work exemplifies a rational design of auto-recording stimuli-responsive nanovesicles.
Exposure to environmental cadmium increases the health risk of residents. Early urine metabolic detection using high-resolution mass spectrometry and machine learning algorithms would be advantageous to predict the adverse health effects. Here, we conducted machine learning approaches to screen potential biomarkers under cadmium exposure in 403 urine samples. In positive and negative ionization mode, 4207 and 3558 features were extracted, respectively. We compared seven machine learning algorithms and found that the extreme gradient boosting (XGBoost) and random forest (RF) classifiers showed better accuracy and predictive performance than others. Following 5-fold cross-validation, the value of area under curve (AUC) was both 0.93 for positive and negative ionization modes in XGBoost classifier. In the RF classifier, AUC were 0.80 and 0.84 for positive and negative ionization modes, respectively. We then identified a biomarker panel based on XGBoost and RF classifiers. The incorporation of machine learning models into urine analysis using high-resolution mass spectrometry could allow a convenient assessment of cadmium exposure.
Carbonized polymer dots (CPDs) modified layer-structured CdBiO2Br (CPDs/CdBiO2Br) Z-scheme heterojunction hybrid material has been synthesized via simple solvothermal method. The hybrid material with Z-scheme heterojunction can effectively maintain the original highly oxidizing holes of CdBiO2Br and the highly reducing electrons of CPDs. In addition, the construction of heterostructure is beneficial to the migration and separation of photogenerated carriers. Under visible light irradiation, 6 wt% CPDs/CdBiO2Br showed the best catalytic activity for degradation of organic pollutants. Free radical capture experiments and ESR analysis confirmed that the main active species are •O2− and h+. The decomposition process of organic pollutants was analyzed by LC-MS. Finally, the probable visible light mechanism performance of CPDs/CdBiO2Br as direct Z-scheme heterojunction photocatalytic materials was proposed.
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