Influence of Support and Metal Precursor on the State and CO Catalytic Oxidation Activity of Platinum Supported on TiO₂

The influence of the nature of TiO₂ support and platinum salt precursors on the state and CO catalysis oxidation activity of supported platinum on TiO₂ was investigated in this paper. Variations of the support TiO₂ and platinum precursor significantly influenced the CO catalytic oxidation activity of platinum. X-ray diffraction, transmission electron microscopy, <i>in situ</i> diffuse reflectance infrared Fourier transform spectroscopy, and X-ray absorption fine structure analysis of the Pt/TiO₂ catalysts were carried out to correlate the relationship between the state of platinum and CO catalysis activity. The dispersion of Pt on different TiO₂ surfaces using diammine dinitritoplatinum as precursor decreased in the following order: Pt/rutile TiO₂ (rutile phase TiO₂ synthesized by hydrothermal method), Pt/anatase TiO₂ (by sol–gel method), and Pt/rutile TiO₂ (by sol–gel method). CO catalysis activity of Pt supported on different TiO₂ decreased with the decrease of Pt dispersion. Chloroplatinic acid played an important role in the formation of electron-rich platinum with lower Pt–Pt and Pt–O coordination number on rutile TiO₂ (hydrothermal) surface compared to that using diammine dinitritoplatinum as a metal salt precursor, which contributed to the highest CO catalysis oxidation activity

Media 4: The impact of optical comb stability on waveforms generated via spectral line-by-line pulse shaping

Originally published in Optics Express on 25 December 2006 (oe-14-26-13164

Media 2: The impact of optical comb stability on waveforms generated via spectral line-by-line pulse shaping

Originally published in Optics Express on 25 December 2006 (oe-14-26-13164

Media 3: The impact of optical comb stability on waveforms generated via spectral line-by-line pulse shaping

Originally published in Optics Express on 25 December 2006 (oe-14-26-13164

Media 1: The impact of optical comb stability on waveforms generated via spectral line-by-line pulse shaping

Originally published in Optics Express on 25 December 2006 (oe-14-26-13164

Additional file 1: of Xiangbin prescription for the recovery of gastrointestinal function after abdominal surgery (the XBPRS trial): study protocol for a randomized controlled trial

Statistical Analysis Plan. (DOCX 130 kb

Near-UV Phototransistors Based on an All-Inorganic Lead-Free Cs₃Cu₂I₅/CuTCNQ Hierarchical Heterostructure

With the rapid advances in metal halide perovskite optoelectronics, eliminating toxic lead from perovskites has been an urgent demand. However, state-of-the-art lead-free perovskite photodetectors are still challenged with issues of low photoresponse, poor stability, etc. Here, all-inorganic lead-free perovskite (Cs3Cu2I5) single crystals that possess good stability under air exposure are synthesized via a facile solid reaction method. Meanwhile, a higher photoluminescence quantum yield of 95.2% and a prolonged carrier lifetime of 1.127 μs are obtained by further optimizing the synthesis. Benefiting from the polyporous surface and hollow structure of Cu-7,7,8,8-tetracyanoquinodimethane (CuTCNQ) microtubes, more Cs3Cu2I5 nanocrystals can adhere on the innershell and outershell of CuTCNQ-15 microtubes. This unique structure contributes to the improved efficiency of utilizing incident light and promotes charge carrier generation and transportation. As a result, the hierarchical CuTCNQ/Cs3Cu2I5 (hollow microtube/nanocrystal) heterostructure phototransistor exhibits a high responsivity of 88.36 A W–1 and a large detectivity of 1.66 × 1012 Jones. The proposed lead-free perovskites and mixed-dimensional heterojunctions are promising for sensitive light detection

Trifunctional C@MnO Catalyst for Enhanced Stable Simultaneously Catalytic Removal of Formaldehyde and Ozone

The key challenge for controlling low concentration volatile organic compounds (VOCs) is to develop technology capable of operating under mild conditions in a cost-effective manner. Meanwhile, ozone (O₃) is another dangerous air pollutant and byproducts of many emerging air quality control technologies, such as plasma and electrostatic precipitators. To address these multiple challenges, we report here a design strategy capable of achieving the following trifunctions (i.e., efficiently VOCs adsorption enrichment, ozone destruction, and stable VOCs degradation) from the synergistic effect of adsorption center encapsulation and catalytic active sites optimization using 2D manganese­(II) monoxide nanosheets decorated carbon spheres with hierarchical core–shell structure. Carbonous residues in the as-synthesized MnO_<i>x</i> matrices played a key role for in situ generating homogeneous dispersed unsaturated MnO during the annealing of the as-synthesized C@MnO_<i>x</i> in the flow of argon under a proper calcination temperature (550 °C). The formation of the intimacy interface between MnO and carbon not only facilitates the adsorption and subsequent catalytic reaction but also results in a gatekeeper effect on the protection of the carbon sphere against the etching of O₃. Such a composite architecture achieved the highest stable removal efficiency (100% for 60 ppm of formaldehyde and 180 ppm of O₃ simultaneously) and 100% CO₂ selectivity under a GHSV of 60000 mL h^–1 g^–1. These findings thus open up a way to address current multiple challenges in air quality control using a single hierarchical core–shell structure

Additional file 2: of Xiangbin prescription for the recovery of gastrointestinal function after abdominal surgery (the XBPRS trial): study protocol for a randomized controlled trial

SPIRIT Checklist for the XBPRS trial protocol. (DOC 150 kb

Difference of the metrics between the RF and LR models.

The difference was calculated by subtracting the value of the LR model from that of the RF model in each test dataset. The difference of sensitivity oscillated around zero in the 50 test datasets. However, the differences in specificity, PPV, and F1 scores were all above zero, indicating that the RF models had higher specificity, PPV, and F1 scores than the LR models under similar sensitivity. Abbreviations: LR = logistic regression; RF = random forest. (TIF)</p