Identifying the Origin of Ti3+ Activity toward Enhanced Electrocatalytic N2 Reduction over TiO2 Nanoparticles Modulated by Mixed-Valent Copper

The ambient electrocatalytic N₂ reduction reaction (NRR) enabled by TiO₂ has attracted extensive recent attention. Previous studies suggest the formation of Ti³⁺ in TiO₂ can significantly improve the NRR activity, but it still remains unclear what kinds of Ti³⁺ are effective. Herein, it is demonstrated that mixed-valent Cu acts as an effective dopant to modulate the oxygen vacancy (V_O) concentration and Ti³⁺ formation, which markedly improves the electrocatalytic NRR performance. In 0.5 m LiClO₄, this electrocatalyst attains a high Faradic efficiency of 21.99% and a large NH₃ yield of 21.31 µg h⁻¹ mg_cat.⁻¹ at –0.55 V vs reversible hydrogen electrode, which even surpasses most reported Ti-based NRR electrocatalysts. Using density function theory calculations, it is evidenced that mixed-valent Cu ions modulate the TiO₂ (101) surface with multiple oxygen vacancies, which is beneficial for generating different Ti³⁺ 3d¹ defect states localized below the Fermi energy. N₂ activation and adsorption are effectively strengthened when Ti³⁺ 3d¹ defect states present the splitting of e_g and t_2g orbitals, which can be modulated by its coordination structure. The synergistic roles of the three ion pairs formed by the V_O defect, including Cu¹⁺–Ti⁴⁺, Ti³⁺–Ti⁴⁺ and Ti³⁺–Ti³⁺, are together responsible for the enhanced NRR performance.     

Trace Identification and Visualization of Multiple Benzimidazole Pesticide Residues on Toona sinensis Leaves Using Terahertz Imaging Combined with Deep Learning

Molecular spectroscopy has been widely used to identify pesticides. The main limitation of this approach is the difficulty of identifying pesticides with similar molecular structures. When these pesticide residues are in trace and mixed states in plants, it poses great challenges for practical identification. This study proposed a state-of-the-art method for the rapid identification of trace (10 mg·L⁻¹) and multiple similar benzimidazole pesticide residues on the surface of Toona sinensis leaves, mainly including benzoyl (BNL), carbendazim (BCM), thiabendazole (TBZ), and their mixtures. The new method combines high-throughput terahertz (THz) imaging technology with a deep learning framework. To further improve the model reliability beyond the THz fingerprint peaks (BNL: 0.70, 1.07, 2.20 THz; BCM: 1.16, 1.35, 2.32 THz; TBZ: 0.92, 1.24, 1.66, 1.95, 2.58 THz), we extracted the absorption spectra in frequencies of 0.2–2.2 THz from images as the input to the deep convolution neural network (DCNN). Compared with fuzzy Sammon clustering and four back-propagation neural network (BPNN) models (TrainCGB, TrainCGF, TrainCGP, and TrainRP), DCNN achieved the highest prediction accuracies of 100%, 94.51%, 96.26%, 94.64%, 98.81%, 94.90%, 96.17%, and 96.99% for the control check group, BNL, BCM, TBZ, BNL + BCM, BNL + TBZ, BCM + TBZ, and BNL + BCM + TBZ, respectively. Taking advantage of THz imaging and DCNN, the image visualization of pesticide distribution and residue types on leaves was realized simultaneously. The results demonstrated that THz imaging and deep learning can be potentially adopted for rapid-sensing detection of trace multi-residues on leaf surfaces, which is of great significance for agriculture and food safety.     

Growth Defects in Langasite Crystals Observed with White Beam Synchrotron Radiation Topography

Langasite single crystal was grown by the Czochralski method and its perfection was assessed by white beam synchrotron radiation topography. It is found that the growth core and the growth striations are the primary growth defects and they show strong X-ray kinematical contrast in the topographs. Another typical defect in LGS crystal is dislocation. The formation mechanisms of these growth defects in LGS crystals were discussed.     

Economical, green synthesis of fluorescent carbon nanoparticles and their use as probes for sensitive and selective detection of mercury(II) ions

The present article reports on a simple, economical, and green preparative strategy toward water-soluble, fluorescent carbon nanoparticles (CPs) with a quantum yield of approximately 6.9% by hydrothermal process using low cost wastes of pomelo peel as a carbon source for the first time. We further explore the use of such CPs as probes for a fluorescent Hg(2+) detection application, which is based on Hg(2+)-induced fluorescence quenching of CPs. This sensing system exhibits excellent sensitivity and selectivity toward Hg(2+), and a detection limit as low as 0.23 nM is achieved. The practical use of this system for Hg(2+) determination in lake water samples is also demonstrated successfully.     

Ni nanoparticles-graphene hybrid film: one-step electrodeposition preparation and application as highly efficient oxygen evolution reaction electrocatalyst

In this communication, we demonstrate the preparation of Ni nanoparticles-graphene hybrid film via simultaneous electrochemical reduction of graphene oxide and Ni²⁺ on conductive substrate for the first time. We further show the utilization of such hybrid film as an efficient oxygen evolution reaction electrocatalyst with highly catalytic activity and good durability.     

Mn对熔融Zn-Mn合金与X80钢润湿行为的影响

研究了锌液中0.1%~0.5%(质量分数)Mn对X80钢表面润湿行为的影响。采用改良座滴法获得了450℃时Zn-Mn合金的接触角,通过SEM/EDS观察分析样品表面及界面的组织结构,研究了Zn-χMn(χ=0.1~0.5)合金与X80钢基板的润湿行为和界面反应。结果表明：锰元素对锌合金与钢基体间的润湿性反应起到正吸附作用。在450℃时,当熔体中的锰含量为0.1~0.5时,Zn-χMn合金与钢基间的润湿接触角从85°减小到62°。锌合金熔体/X80钢属于反应性润湿体系,生成的界面产物由FeZn₁₀(δ)、FeZn₁₃(ζ)和Fe₃Zn₁₀(Γ)/Fe₅Zn₂₁(Γ₁)相组成,润湿行为受锌合金界面反应影响。在铺展三相线前沿存在前驱膜,前驱膜的出现能够促进润湿。     

不同pH条件下乳清蛋白-桑椹多酚复合营养粉的制备及其理化性质

近年来,蛋白质与多酚类物质的相互作用是食品领域的研究热点之一,两者的结合受到多种因素的影响,其中pH值是重要的影响因子。该文研究了不同pH值条件下桑椹多酚(Mulberry Polyphenols,MP)对乳清蛋白(Whey Protein,WP)理化性质和功能特性的影响。结果表明,桑椹多酚改变了复合蛋白粉的色泽、粒径大小和Zeta电位。同时,还提高了乳清蛋白的溶解性、乳化性能,在pH值3.0时乳清蛋白的乳化能力和乳化稳定性分别达到7.23 m²/g prot和89.56%,较对照组分别提高了2.66%和1.21%。通过高效液相色谱法对桑椹多酚-乳清蛋白粉中的单体酚类进行定量分析,在pH值5.0和7.0条件下结合的单体酚含量比pH值1.0和3.0高。此外,较空白对照组而言,添加桑椹多酚提高了乳清蛋白的DPPH自由基清除率、ABTS⁺自由基清除能力和FRAP还原能力,最高分别达到89.28%、81.70%和530.95μmol/g prot。综上所述,利用动物蛋白结合植物多酚是创新功能食品组分的手段,反应体系的pH值对结合效率有重要影响,为今后...     

植物多酚在消减牛乳蛋白致敏性作用中的研究进展

牛乳蛋白过敏是主要由IgE介导的病理性免疫反应,在易感体质婴幼儿群体中有较高的发生风险。当前消除牛乳蛋白致敏性的技术手段包括热处理、高压处理、酶水解、糖基化修饰等,但这些方法可能会降低蛋白的营养功能价值、或产生不良风味。植物多酚作为一种来源广泛的植物次级代谢产物,具有抗衰老、抗菌、抗炎和抗氧化等多重生物学活性。多酚对蛋白质等大分子物质有显著的亲和作用,能通过共价和非共价结合方式有效降低不同食物蛋白的致敏性。本文主要阐述酚-蛋白互作关系对牛乳致敏性的影响及其相关作用机制,并提出研究设想,为新型低致敏乳制品的开发工作提供思路和理论参考。     

智能型微电子高压物性取样器研究开发

针对油气井下机械取样器在使用过程中出现的问题，研究开发出了智能型微电子高压物性取样器。该取样器结构简单、维护保养方便、取样成功率高，从根本上解决了取样成功率低等问题，消除了返工损失，提高了取样效率、缩短了试油周期。经过现场80多次试验，成功率达到了100％，取得了良好的效果。     

A study of the Zn-Rich corner of the Zn-Fe-Sn system

The Zn-rich corner of the 450 °C isothermal section of the Zn-Fe-Sn system was experimentally determined. Within the composition range explored in this study, the liquid phase was found in equilibrium with the ternary extensions of three binary Zn-Fe phases, the ζ, δ, and Γ₁ phases. The ζ phase contains practically no Sn in solid solution; Sn solubility limits in the δ and Γ₁ phases were 2.2 at.% and 7.0 at.%, respectively. The only Fe-Sn compound detected in this study was FeSn, which co-existed with the Γ₁ phase. When its Sn content was lower than approximately 26 at.%, the liquid solidified in water quenching as a degenerated eutectic consisting of a mixture of η-Zn and β-Sn co-existing with primary ζ crystallites. When its Sn content exceeded approximately 70 at.%, the liquid transformed into metallic glass containing mostly Sn, Zn, and a small amount of Fe upon water quenching from 450 °C.