Increased Oxygen Vacancies in CuO-ZnO Snowflake-like Composites Drive the Hydrogenation of CO_(2) to Methanol

Cu/ZnO is widely used in the hydrogenation of carbon dioxide (CO_(2)) to methanol (CH_(3)OH) to improve the lowconversion rate and selectivity generally observed. In this work, a series of In, Zr, Co, and Ni-doped CuO-ZnO catalysts wassynthesized via a hydrothermal method. By introducing a second metal element, the activity and dispersion of the activesites can be adjusted and the synergy between the metal and the carrier can be enhanced, forming an abundance of oxygenvacancies. Oxygen vacancies not only adsorb CO_(2) but also activate the intermediates in methanol synthesis, playing a keyrole in the entire reaction. Co3O4-CuO-ZnO had the best catalytic performance (a CO_(2) conversion rate of 9.17%;a CH_(3)OHselectivity of 92.77%). This study describes a typical strategy for multi-component doping to construct a catalyst with anabundance of oxygen vacancies, allowing more effective catalysis to synthesize CH_(3)OH from CO_(2).

NiO-WO3纳米立方块的制备及在甲醛检测中的应用

采用一步水热合成法合成NiO-WO 3纳米立方块,以WO 3为主体,引入p型半导体NiO构建NiO-WO 3 p-n异质结。通过扫描电子显微镜(SEM)和X射线衍射仪(XRD)对相应的微观结构进行了分析表征,表明产物为单斜相WO 3,由尺寸大小均匀的纳米立方块组成,平均粒径100 nm左右,引入NiO后WO 3纳米立方块的形貌基本保持不变。将NiO-WO 3纳米立方块制成气敏元件并测验了其对甲醛气体的敏感特性。气敏测试结果表明,构建NiO-WO 3异质结可显著地提高WO 3传感器对甲醛气体的敏感特性。特别是5%NiO-WO 3异质结纳米立方块结构传感器,其在200℃下对0.134 mg/L甲醛的灵敏度达到18.5,且具有快速响应-恢复特性、良好的稳定性及对甲醛的良好选择性。传感器性能提升的原因主是界面处p-n异质结的形成和NiO的高催化活性。

V_(2)O_(5)-MoO_(3)/TiO_(2)催化滤袋的制备及中试应用

为解决现有Mn基催化滤袋SO_(2)中毒的问题,制备了基于V_(2)O_(5)-MoO_(3)/TiO_(2)的催化滤袋,用于在180~260℃范围内同时去除NOx和粉尘。实验结果表明,双层滤袋在气体过滤面速度为0.2 m/min时具有良好的脱硝活性和抗硫抗水性能。在纯氧玻璃窑炉中试中采用制备的双层催化滤袋进行了试验,烟气量为2000~3000 m^(3)/h、SO_(2)浓度在20~30 mg/m^(3)范围内、水蒸气含量10%(体积分数)、NOx浓度为400~550 mg/m^(3),在170~210℃范围内NOx转化率可达到88.14%~95.06%,验证了催化滤袋的脱硝性能;连续运行1500 h后,活性出现5%左右的微弱衰减;在高硫烟气条件下(300~500 mg/m^(3))连续运行100 h发现催化滤袋失活,SEM-EDS和XPS表征证明催化剂失活是由于硫铵类物质在滤袋纤维表面沉积,部分活性位点被覆盖所致。

Synthesis of Cu/ZnO Flower-like Hierarchical Porous Structures and Investigation of Their Catalytic Performance for Dimethyl Oxalate Hydrogenation

The Cu/ZnO flower-like hierarchical porous structures were successfully synthesized via the cetyltrimethyl ammonium bromide(CTAB) assisted hydrothermal method. The morphology and structure as well as the catalytic performance for dimethyl oxalate(DMO) hydrogenation to ethylene glycol(EG) were investigated. Through annealing the zinc copper hydroxide carbonate(ZCHC) precursors, the Cu/ZnO flower-like hierarchical porous structures were obtained, which were assembled by a number of porous nanosheets. The catalyst made of these well-defined flower-like hierarchical porous structures with large specific surface area and effective gas diffusion path via the well-aligned porous structures showed higher EG selectivity and yield as compared to the Cu/ZnO catalyst obtained by conventional co-precipitation technique. The results indicated that the Cu/ZnO flower-like hierarchical porous structures have excellent potential application for manufacture of high performance catalysts.

基于“113”应用型人才培养新体系的培养方案探索

新时期高等教育的重要使命之一是培养具有较强工程实践能力和创新意识的工程技术型人才,而工程技术型人才的培养迫切需要人才培养模式与之相适应。"113"应用型本科人才培养是沈阳化工大学基于"面向地方,服务辽宁,面向行业,服务全国"的发展战略所提出的顶层设计规划。在能源化学工程专业学生能力培养模式的构建过程中融入"113"应用型人才培养理念,力求让学生成为既掌握化学工程与技术,又懂得能源化工特点的、工程实践能力和创新意识强的复合型工程技术人才。

三位一体家庭化培养模式的探索与实践--碳一化工相关教育教学研究

碳一化工相关应用型人才培养,是当前化工类高校特色办学的定位点之一。构建"本-硕-师"三位一体家庭化培养模式应用于碳一化工相关教学活动,能够有效的缓解教师教学及科研压力,营造了本科生、研究生、指导教师之间的相互交流、相互促进、教学相长、共同进步的良好教学氛围。该教学模式将推进家庭化培养模式的探索与实践,进而改善学生的学习、生活方式和创新、实践能力。

Construction of MoP/MoS_(2) Core-shell Structure Electrocatalyst for Boosting Hydrogen Evolution Reaction

Hydrogen energy stands out as one of the most promising alternative energy sources due to its cleanliness and renewability.Electrocatalytic water splitting offers a sustainable pathway for hydrogen production.However,the kinetic rate of the hydrogen evolution reaction(HER)is sluggish,emphasizing the critical need for stable and highly active electrocatalysts to facilitate HER and enhance reaction efficiency.Transition metal-based catalysts have garnered attention for their favorable catalytic activity in electrochemical hydrogen evolution in alkaline electrolytes.In this investigation,flower-like nanorods of MoS_(2) were directly synthesized in situ on a nickel foam substrate,followed by the formation of MoP/MoS_(2)-nickel foam(NF)heterostructures through high-temperature phosphating in a tube furnace environment.The findings reveal that MoP/MoS_(2)-NF-450 exhibits outstanding electrocatalytic performance in an alkaline milieu,demonstrating a low overpotential(90 mV)and remarkable durability at a current density of 10 mA/cm^(2).Comprehensive analysis indicates that the introduction of phosphorus(P)atoms enhances the synergistic effect with MoS_(2),while the distinctive flower-like nanorod structure of MoS_(2) exposes more active sites.Moreover,the interface between the MoP/MoS_(2) heterostructure and NF facilitates electron transfer during hydrogen evolution,thereby enhancing electrocatalytic performance.The design and synthesis of such catalysts offer a valuable approach for the development of high-performance hydrogen evolution electrocatalysts.

基于机器学习预测尖晶石氧化物的析氧催化性能

电解水制氢作为绿色氢能的核心技术之一而备受关注。开发高效的析氧反应(OER)电催化剂是电解水制氢技术的关键。尖晶石型催化剂具有低过电位和长期稳定性,被广泛用于碱性OER阴极材料研究。目前关于尖晶石型OER催化剂的研究通常需要通过实验逐个测试大量的材料,并进行活性评估。这种方法费时费力,且无法涵盖大量的材料组合。本文引入一种基于机器学习的尖晶石型催化剂OER性能预测方法,通过支持向量机(SVM)算法成功拟合了催化剂化学组成(A_(x)B_(y)C_(z)O_(4)、载体)、合成方法、焙烧温度、焙烧时间、焙烧气氛、升温速率、形貌、电解质、催化剂载量和工作电极与过电位之间的关系。该模型平均均方误差为182.7,平均绝对误差为20.6,催化剂性能预测效果较好,为高效开发尖晶石型OER催化剂材料提供有效的方法。