Article
Chemistry, Multidisciplinary
Shuai Cheng, Tao Meng, Dongsen Mao, Xiaoming Guo, Jun Yu, Zhen Ma
Summary: Ni-modified Ag/SiO2 catalysts exhibit enhanced catalytic activity and stability due to the improved dispersion of active Ag species and inhibition of Ag particle growth by the presence of Ni species.
Article
Chemistry, Multidisciplinary
Guofeng Zhao, Hu Li, Jiaqi Si, Qiang Nie, Chao Meng, Ye Liu, Yong Lu
Summary: Three meso-SiO2 supported Ni3P catalysts exhibit different reactivities for gas-phase hydrogenation of DMO to MG, with Ni3P/RB-MSN showing the highest selectivity and stability. The catalyst has a turnover frequency of 204.2 h(-1) and an activation energy of 84.0 kJ mol(-1).
ACS SUSTAINABLE CHEMISTRY & ENGINEERING
(2021)
Article
Biotechnology & Applied Microbiology
Hongyan Zheng, Yanfeng Xue, Yulan Niu, Xiaoqing Gao, Yueqing Wang, Guoqiang Ding, Yulei Zhu
Summary: A simple and low-cost Ru/activated carbon (AC) catalyst was developed for the hydrogenation of dimethyl oxalate (DMO) to methyl glycolate (MG) under mild conditions. The Ru/AC catalyst demonstrated superior catalytic performance, which could be attributed to its high dispersion of Ru, small particle size, weak surface acidity, and electron-deficient state of Ru species.
JOURNAL OF CHEMICAL TECHNOLOGY AND BIOTECHNOLOGY
(2022)
Article
Chemistry, Physical
Guilin Dong, Zuwei Luo, Yueqiang Cao, Sainan Zheng, Jinghong Zhou, Wei Li, Xinggui Zhou
Summary: Ag catalysts show promising selectivity for the hydrogenation of DMO to MG, with the size of Ag nanoparticles playing a crucial role in their catalytic performance. The study reveals a size-dependent trend in the activity of Ag/AS catalysts, with a balance between active sites and electronic properties observed for Ag particles with a size of 5.3 nm, leading to maximal reaction rate.
JOURNAL OF CATALYSIS
(2021)
Article
Thermodynamics
Qingchun Yang, Yingjie Fan, Chenglin Liu, Jianlong Zhou, Lei Zhao, Huairong Zhou
Summary: The rapid expansion of the coal-to-ethylene glycol (CtEG) industry has led to an oversupply of ethylene glycol and poor economic performance. This study proposes and optimizes three coal-to-methyl glycolate (CtMG) processes with different catalysts, which show better techno-economic performance compared to the CtEG process. The use of an Ag-based catalyst in the dimethyl oxalate to methyl glycolate process achieves the highest yield of methyl glycolate (93.51%). The proposed CtMG processes can turn a loss into a profit and significantly improve the internal rate of return of the CtEG process.
Article
Engineering, Environmental
Zuwei Luo, Xiaofeng Xu, Guilin Dong, Yueqiang Cao, Shen Hu, Guanghua Ye, Yi-An Zhu, Jinghong Zhou, Wei Li, Xinggui Zhou
Summary: Regulating mesopore structures is crucial for enhancing diffusion and achieving improved activity and selectivity. Mesoporous silica with distinct structured mesopores is used as a support for Ag catalysts in the selective hydrogenation of dimethyl oxalate (DMO) into methyl glycolate (MG), leading to enhanced hydrogenation activity.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Chemistry, Physical
Yuxi Xu, Lingxin Kong, Huijiang Huang, Hui Wang, Xiaofei Wang, Shengping Wang, Yujun Zhao, Xinbin Ma
Summary: The introduction of indium improves the reduction of indium oxide and formation of CuIn alloy, enhancing the activation of H-2. The CuIn alloy and Cu-0 species have a synergistic effect with Cu+, resulting in a higher EG yield for the Cu1In/SiO2 catalyst compared to the undoped Cu/SiO2 catalyst.
CATALYSIS SCIENCE & TECHNOLOGY
(2021)
Article
Engineering, Environmental
Zheng Li, Yihui Li, Xuepeng Wang, Yuan Tan, WenShao Yang, Hejun Zhu, Xingkun Chen, Wei Lu, Yunjie Ding
Summary: The hydrogenation of dimethyl oxalate to produce ethanol is a research topic of great interest due to its environmentally friendly nature. However, the yield of ethanol using Cu-based catalysts remains a challenge. In this study, a molybdenum-doped Cu catalyst was synthesized and demonstrated to be a robust catalyst with a high ethanol yield. The addition of Mo increased the amount of surface Cu+ species and enhanced the surface acidity, resulting in a high ethanol selectivity.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Chemistry, Physical
Fakhrony Sholahudin Rohman, Syed Hussaini Syed Sulaiman, Norashid Aziz
Summary: The study focused on utilizing a copper-based catalyst for gas-phase dimethyl oxalate hydrogenation to produce ethylene glycol, achieving optimal conversion, selectivity, and yield through simulation software and multivariable optimization.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Multidisciplinary
Xue Wang, Siqian Qin, Hanqing Zhang, Jiang Gong, Weihan Shu, Chuancai Zhang, Denghao Wang, Bin Dai
Summary: MG has a unique molecular structure and is an important chemical intermediate with promising applications. Ag-Ce/ZrO2 catalysts with different contents were prepared for hydrogenation of DMO to MG through equal volume impregnation. The addition of Ce helps in the formation of more oxygen vacancies in the catalyst, making it easier for Ag2O to be reduced to Ag monomers. The performance test results showed that the addition of an appropriate amount of Ce has a certain promotional effect on the hydrogenation performance of the catalyst, with significantly improved yield of MG compared to the Ag/ZrO2 catalyst.
Article
Chemistry, Multidisciplinary
Xin-ping Duan, Tianyi Chen, Tianxiang Chen, Lele Huang, Li Ye, Benedict T. W. Lo, Youzhu Yuan, Shik Chi Edman Tsang
Summary: Incorporation of alkali metal ions into Ag nanoparticles dispersed on SBA-15 silica can enhance the catalytic activity for hydrogenation of dimethyl oxalate to methyl glycolate. Specifically, 5Ag(1)-Li-0.05/SBA-15 shows superior thermal stability and can double the MG yield compared to pristine 5Ag/SBA-15 under identical conditions. The cationic charge of alkali metal ions plays a role in maintaining dispersion and modulating the surface valence of Ag NPs.
Article
Chemistry, Multidisciplinary
Deliang Yang, Runping Ye, Ling Lin, Rong Guo, Peiyu Zhao, Yanchao Yin, Wei Cheng, Wenpeng Yuan, Yuangen Yao
Summary: Boron (B) promoter modified Cu/SiO2 bifunctional catalysts were synthesized and used for efficient hydrogenation of dimethyl oxalate to produce ethylene glycol and ethanol. The boron promoter significantly improved the catalyst performance by enhancing structural characteristics. The optimized catalyst exhibited excellent low temperature catalytic activity and long-term stability, maintaining high selectivity for ethylene glycol and ethanol.
Article
Energy & Fuels
Jinchi Niu, Peipei Ai, Qiwu Guo, Huiqing Jin, Zhihua Gao, Wei Huang
Summary: In this work, N-doped layered carbon supported Cu catalysts were constructed for the hydrogenation of dimethyl oxalate (DMO) to produce methyl glycolate (MG). Nitrogen doping had a significant effect on the particle size, valence state, and electronic environment of Cu species. The synergistic effect of high Cu0/(Cu0 + Cu+) ratio and electron density in the Cu/C-E catalyst resulted in a MG yield of up to 74.84%. Furthermore, the intimate interaction between the Cu species and N-doped carbon support improved the thermal and valence stability, leading to a remarkably higher stability of over 600 hours compared to currently reported Cu catalysts.
Article
Energy & Fuels
Li Zhang, Peipei Ai, Zhihua Gao, Wei Huang
Summary: This study prepared copper-based catalysts using mesoporous silica with different structures and morphologies as support and tested their catalytic performance and stability through hydrogenation reaction. The results showed that the structure and morphology of the support significantly affected the stability of the copper-based catalysts. In particular, the catalyst prepared using MS-3 with hexagonal prism-like structure as support exhibited excellent catalytic performance and stability.
Article
Engineering, Environmental
Jian Zhu, Guofeng Zhao, Chao Meng, Pengjing Chen, Xue-Rong Shi, Yong Lu
Summary: A high-performance InNi3C0.5/Ni-foam catalyst has been developed for the gas-phase hydrogenation of dimethyl oxalate (DMO) to ethylene glycol (EG). The catalyst exhibits a high turnover frequency of 636 h(-1) and effectively activates DMO while hindering over-hydrogenation of EG to ethanol. This catalyst shows promising potential for industrial applications with full DMO conversion and high EG selectivity.
CHEMICAL ENGINEERING JOURNAL
(2021)
Article
Computer Science, Artificial Intelligence
Yunfei Liu, Hongmei Chen, Tianrui Li, Weiyi Li
Summary: Feature selection for multilabel data is challenging yet meaningful. This study proposes a robust approach based on sparse learning framework, which considers manifold information, compresses label matrix, constrains the least squares regression term, and designs an improved weight matrix. Extensive experiments demonstrate the effectiveness of the proposed approach.
APPLIED INTELLIGENCE
(2023)
Article
Chemistry, Physical
Kuixin Lin, Yongkang Tan, Hongmei Chen, Xiaoma Tao, Yifang Ouyang, Yong Du
Summary: In this study, molecular dynamics simulations were conducted to investigate the shock-wave propagation in nanocomposites consisting of different low-dimensional carbon materials (FCC-C60, MCNT, or MGNS) and monocrystal Al. The results revealed the intrinsic correlation between their phononic characteristics and shock-wave energy absorption. It was found that MCNT exhibited superior elastic absorption, reducing the shock-wave intensity by 80%. The dispersion mechanism mediated by the interaction between mid-frequency phonons and shock-wave played a significant role in absorbing large amounts of shock-wave energy. Additionally, the dissipation mechanism arising from thermal phonon scattering and interfacial phonon damping contributed to the energy absorption process.
Article
Polymer Science
Sheng-Li Wu, Junfei Qiao, Jintao Guan, Hong-Mei Chen, Tielin Wang, Cunwen Wang, Yi Wang
Summary: The advent of nascent d-UHMWPE has overcome the intrinsic defects of commercial UHMWPE products and provides access to high value-added materials with improved qualities. The synthesis of d-UHMWPE can be achieved using either single site catalysts or heterogeneous solid catalysts, resulting in a much easier processability. The processed d-UHMWPE demonstrates superior drawability, flexibility, toughness, and thermal conductivity, making it suitable for various applications.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Chuan Luo, Qian Cao, Tianrui Li, Hongmei Chen, Sizhao Wang
Summary: Attribute reduction is an important data preprocessing technique in data mining, and this paper proposes a parallel attribute reduction algorithm based on neighborhood rough sets using Apache Spark. The algorithm achieves parallel computation in a distributed computing environment, and experimental results show its superior parallel performance and scalability.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Automation & Control Systems
Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang
Summary: This paper proposes a novel interactive and complementary feature selection approach based on a fuzzy multineighborhood rough set model. The approach effectively improves the classification performance of feature subsets while reducing the dimension of feature space.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Engineering, Environmental
Chen Zhao, Xinyue Xu, Hongmei Chen, Fengwen Wang, Penghui Li, Chen He, Quan Shi, Yuanbi Yi, Xiaomeng Li, Siliang Li, Ding He
Summary: Photochemical reactions are important in altering the chemistry of dissolved organic matter (DOM). This study used machine learning to integrate existing irradiation experiments and gain new insights into the transformation processes of estuarine DOM. Irradiation experiments provide valuable information on the photochemical reactivity of molecules, but the inconsistent fate of irradiated molecules in different experiments hinders our understanding of the roles played by photochemical reactions, which cannot be properly addressed by traditional approaches.
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2023)
Article
Polymer Science
Junhao Liu, Wanting Wei, Feng Cao, Zhiyong Zeng, Kun Qian, Hongmei Chen, Fenghua Zhang, Wenbing Li
Summary: Inspired by nature, scientists have developed surfaces with controllable wettability through alterations in surface micro/nanostructures or changes in chemical compositions. This article reports the control of surface wettability using three types of shape-memory micropatterns that can be reversibly transformed between a stretched and an original/recovered state due to the shape-memory properties of poly (ethylene-co-vinyl acetate) (EVA). The study also demonstrates that surface wettability can be controlled by the reversible transformation of surface micropatterns.
EUROPEAN POLYMER JOURNAL
(2023)
Article
Public, Environmental & Occupational Health
Yuanxia Liu, Hongmei Chen, Mengtian Zhang, Gangjiao Zhu, Yan Yang, Yuanyuan Li, Wei Lu, Hongling Zhang
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Agronomy
Hongmei Chen, Yongyi Fan, Dian Li, Zhihao Sun, Zheyan Ruan, Huali Yang, Yiwei Kang, Weixun Wu, Qunen Liu, Xiaodeng Zhan, Liyong Cao, Ming Zhou, Shihua Cheng, Yingxin Zhang
Summary: Through the study of 76 CSSLs, four QTLs controlling tiller number in rice were identified, with two of them previously detected. Further validation and fine mapping narrowed down these QTLs to specific chromosomal regions and identified two novel genes, providing valuable insights into the regulatory mechanism of tiller number in the ZH9308 variety and its application in super-hybrid breeding.
Article
Computer Science, Artificial Intelligence
Binbin Sang, Lei Yang, Hongmei Chen, Weihua Xu, Xiaoyan Zhang
Summary: This paper proposes a robust fuzzy dominance rough set model to tackle noise interference and develops a feature selection method based on this model for ordinal classification tasks. The robust model is constructed using a non-linear vague quantifier and related dependency function, while the contribution of feature combinations for ordinal classification is characterized using rank entropy-based uncertainty measures. A new feature evaluation index and corresponding feature selection algorithm are also presented. Numerical experiments demonstrate the effectiveness of the proposed model and feature selection method.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Computer Science, Artificial Intelligence
Zhong Yuan, Hongmei Chen, Chuan Luo, Dezhong Peng
Summary: Unsupervised anomaly detection is vital for unsupervised knowledge acquisition and has been successfully applied in various fields. Multi-granularity thinking allows analysis from multiple perspectives, but there are limited studies on anomaly detection using multi-fuzzy granules. This paper proposes a multi-fuzzy granules anomaly detection method using a fuzzy rough computing model, which demonstrates effectiveness through experimental results.
INFORMATION FUSION
(2023)
Article
Computer Science, Artificial Intelligence
Jihong Wan, Hongmei Chen, Tianrui Li, Min Li, Xiaoling Yang
Summary: Feature selection is crucial in data mining and knowledge discovery. Existing methods often overlook high-order interactions among variables, resulting in the loss of important dependency information. To address this, a robust knowledge metric approach is proposed to perceive and excavate the hidden latent information.
PATTERN RECOGNITION
(2023)
Article
Computer Science, Artificial Intelligence
Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi
Summary: This paper presents parallel feature selection algorithms based on the rough hypercuboid approach to handle growing data volumes. Experimental results show that our algorithms are significantly faster than the original sequential counterpart while guaranteeing result quality. Moreover, the proposed algorithms can effectively utilize distributed-memory clusters to handle computationally demanding tasks.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
Hong-Mei Chen, Hai-Wen Xu, Jun-Feng Yang
Summary: This paper considers a class of structured convex optimization problems in image processing, proposes a hybrid algorithm tailored for these problems, and tests its effectiveness under Poisson noise.
JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION
(2023)
Article
Computer Science, Artificial Intelligence
Chuan Luo, Sizhao Wang, Tianrui Li, Hongmei Chen, Jiancheng Lv, Zhang Yi
Summary: This article proposes a novel global search method for numerical feature selection, RH-BPSO, based on the hybridization of the rough hypercuboid approach and binary particle swarm optimization (BPSO) algorithm. Parallelization approaches for large-scale datasets are also presented by decomposing and recombining hypercuboid equivalence partition matrix. The experimental results indicate that RH-BPSO outperforms other feature selection algorithms in terms of classification accuracy, the cardinality of the selected feature subset, and execution efficiency. Moreover, the distributed meta-heuristic optimized rough hypercuboid feature selection algorithm, DiRH-BPSO, is significantly faster than its sequential counterpart and can handle large-scale feature selection tasks on distributed-memory multicore clusters.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Chemistry, Physical
Haojie Li, Bingke Yang, Zhen Yao, Xuetao Wang, Kaiming Shen, Mengjie Liu
Summary: This study systematically investigates the influence of metal and nonmetal element doping on the photochemical properties of g-C3N4 for efficient catalytic AB hydrogen production. It provides a design method for high performance bifunctional catalysts of photocatalysis and metal catalysis. The results show that both non-metals (B, P) and metals (Ru, Ni) have efficient regulatory effects on the band structure of g-C3N4, resulting in a reduced band gap and improved hydrogen production. The study offers a theoretical method for the coupling of metal catalysis/photocatalysis ammonia borane to produce hydrogen.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Shrouq Mujahed, Davide Gandolfo, Luigi Vaccaro, Evgueni Kirillov, Dmitri Gelman
Summary: In this study, a high-valent Ru(IV) bifunctional catalyst was successfully applied for the hydrosilylation of various functional groups. The high-valent hydride complexes showed high chemoselectivity and affinity towards reducing polar bonds. The scope, limitations, and plausible mechanism of the reaction were described.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Yongzhen Peng, Kongchen Xia, Qi Wu
Summary: In this study, we report an engineered cyclohexanone monooxygenase that can be used for the asymmetric synthesis of chiral alpha-deuterated carbonyl compounds via enantioselective reductive dehalogenation. The engineered enzyme exhibits good chemoselectivity, stereoselectivity, and d-incorporation, making it a promising method for the synthesis of deuterated drugs.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Qi Yang, Ruixuan Xu, Hongqi Nie, Qilong Yan, Jun Liu, Jiuyu Chen, Yunlan Sun
Summary: The adsorption and decomposition processes of ammonium perchlorate (AP) on pure-Al and Al2O3/Al surfaces were investigated using density functional theory. The results showed that the pure-Al surface is more conducive to the decomposition of AP and the activation of NH3, while the Al2O3/Al surface promotes the disengagement of H and NH3 decomposition.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Yudong Hu, Guochao Xu, Ye Ni
Summary: This study identified a novel phenylalanine dehydrogenase (QtPDH) with high catalytic efficiency and thermal stability, making it a promising biocatalyst for industrial production of bulky aromatic primary amines. QtPDH exhibited a broader substrate specificity and significantly longer half-life compared to BbPDH.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Weiling Zhao, Zhiling Huang, Hui Shen, Xianglong Li, Shaofen Zhao, Bo Xie, Shengjie Xia
Summary: This study investigated the effects of metal doping and crystal plane selection on the CO2 adsorption properties of MgO using density functional theory (DFT) methods. The results showed that the appropriate crystal plane and metal doping can improve the adsorption properties of MgO on CO2. The influence of different crystal planes and metal dopants on CO2 adsorption properties varied significantly. The research provides some references for experimental studies on CO2 adsorption by MgO by combining the dual modification of crystal plane and doped metal.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Jie Zhang, Jinwei Chen, Zongbo Shi, Junyu Zhao, Runsheng Zhuo, Ruilin Wang
Summary: In this study, a double-layered silicalite-1 support with high specific surface area was synthesized, and a magnesium modification strategy was adopted to improve the catalytic activity and stability of the zinc-based catalyst. The modified catalyst showed enhanced propylene selectivity and anti-coking property.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Pei-Sen Gao, Chang-Wang Pan, Cheng Liu, Wen -Tong Chen
Summary: Asymmetric electrocatalysis offers a unique approach to obtain enantioenriched molecules that are difficult to obtain through conventional methods. This study developed a novel bifunctional electrocatalyst, enabling the oxidative kinetic resolution of chiral 1,4-diols and gamma-lactones. The work demonstrates the potential of bifunctional electrocatalysis for asymmetric synthetic methods and its importance in the development of novel electrocatalytic methods.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Qinzhe Lin, Xuanjin Lv, Xianming Zeng, Mengning Zhong, Qiyun Wu, Huilin Ren, Shenpeng Xu, Wentian Chen, Wenting Du, Jun Li
Summary: The catalytic efficiency of engineered IRED M5 was found to be relatively low when tasked with a bulky amine substrate. Rational design led to the mutants M203V and F260A, with F260A exhibiting a substantial improvement in conversion and stereoselectivity. The study revealed the potential molecular mechanisms underlying the effect of F260A and M203V on catalytic performance.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Zhishuai Wang, Fengyun Su, Hailong Cao, Mengzhen Tian, Xiang Li, Haiquan Xie, Xiaoli Jin, Zhengdao Li, Xin Ying Kong
Summary: In this study, the efficiency of photocatalytic CO2 reduction was significantly enhanced by incorporating nickel oxide onto niobium pentoxide. The resulting catalyst showed remarkable methane and carbon monoxide production improvements.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
A. Yu. Sidorenko, Yu. M. Kurban, T. V. Khalimonyuk, I. V. Il'ina, N. S. Li-Zhulanov, O. S. Patrusheva, V. V. Goltsova, M. P. Bei, Zh. V. Ihnatovich, J. Warna, K. P. Volcho, N. F. Salakhutdinov, D. Yu. Murzin, V. E. Agabekov
Summary: This study provides a comprehensive investigation into the catalytic condensation of renewable 3-carene with formaldehyde for the one-step preparation of terpenoid trans-4-hydroxymethyl-2-carene. Various acids and alumino-silicates were found to catalyze the reaction, but the selectivity to the desired product was limited. Phosphoric acid showed the highest selectivity, and an excess of formaldehyde or catalyst loading significantly increased the yield of the target product. Water presence also led to increased selectivity. Additionally, a detailed mechanism for the 3-carene condensation with formaldehyde was proposed and confirmed through kinetic modeling.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Meng-Yu Rong, Jing Nie, Shen Li, Jun-An Ma
Summary: We synthesized a new class of chiral quaternary ammonium salts and used them as catalysts in phase-transfer catalytic asymmetric alkylation. By employing these catalysts, we obtained a series of chiral fluorinated aromatic alpha-amino acid derivatives with high yields and enantioselectivities.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Zhaozhou Wei, Guangtao Wei, Huixian Che, Deyuan Xiong, Linye Zhang, Ruihua Xue, Yalin Tang, Xuanli Lu
Summary: This study demonstrates that small-sized graphite crystallite and highly defective carbon-based catalysts can increase the -SO3H density of the catalysts and modulate their surface electronic properties, leading to improved efficiency in the alpha-pinene hydration reaction. The reduction of graphite crystallite size is considered a critical step in enhancing the selectivity of alpha-terpineol.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Kempanna S. Kanakikodi, Nagendra Kulal, K. S. Subramanya, M. S. Puneethkumar, Bhavana B. Kulkarni, Ganapati Shanbhag, Sanjeev P. Maradur
Summary: An effective and highly selective protocol for synthesizing asymmetric organic carbonates using dimethyl carbonate (DMC) as a reactant and solvent has been developed. The performance of CeO2 nanostructures with different morphologies in the carbonate interchange reaction (CIR) of alcohols was investigated, and the CeO2 nano-catalyst with rod morphology exhibited the highest oxygen vacancy and remarkable enhancement in conversion. The CeO2 characterization data revealed that the exposed active sites, defect density, coordination state of surface atoms, and reducibility of the catalytic materials are the contributing factors to its high catalytic activity. CeO2 can be easily recovered and reused for multiple cycles.
MOLECULAR CATALYSIS
(2024)
Article
Chemistry, Physical
Yanzhao Gao, Xianglei Meng, Shiqi Huang, Hui Wu, Liantao Jiang, Yu Zhou, Yuting Song, Yanyan Diao
Summary: Gamma alumina modified with alkaline earth metal shows improved catalytic performance for hydrogenation reactions. Pd catalysts supported by Al2O3 and Mg-modified Al2O3 were synthesized and their structure, composition, and surface acidity were investigated. The results showed that Pd/MgO-Al2O3-2 catalyst exhibited the best catalytic performance due to its metallic state palladium and weak acid sites.
MOLECULAR CATALYSIS
(2024)
