Article
Chemistry, Physical
Stavros A. Theofanidis, G. T. Kasun Kalhara Gunasooriya, Ioanna Itskou, Maria Tasioula, Angeliki A. Lemonidou
Summary: The study reveals the potential of using iron oxide as a catalyst support for the on-purpose ethylene production through CO2-assisted oxidative dehydrogenation of ethane. The selectivity of the catalyst towards C-H bond cleavage can be controlled by adjusting the Ni/Fe ratio. Fine-tuning the Ni/Fe molar ratio leads to stable catalytic performance with improved selectivity towards ethylene and ethane conversion.
Article
Energy & Fuels
Xiuquan Li, Zhongqing Yang, Li Zhang, Ziqiang He, Yunfei Yan, Jingyu Ran, Zukhra C. Kadirova
Summary: This study investigated the effect of crystal plane structure on the CO2-assisted ethane dehydrogenation reaction characteristics using Fe1.5Ni0.5/ZrO2(M, T, Mix) catalyst. The monoclinic phase Fe1.5Ni0.5/ZrO2-M catalyst exhibited the highest conversion of ethane and CO2, as well as the highest selectivity to C2H4. The monoclinic phase of ZrO2 selectively exposed low-index surfaces with higher oxygen vacancy density and stronger metal-support interaction, leading to the formation of more active FexZr1-xO2 structures.
Article
Chemistry, Physical
Jun Luo, Ao Wang, Lichao Jia, Dong Yan, Mei Hu, Jian Li
Summary: A series of 13 wt % Cr-x wt % Ce-α-Al2O3 catalysts were prepared and evaluated for ethane dehydrogenation to ethylene. The catalyst with 5 wt % Ce demonstrated the highest dehydrogenation activity and better regeneration ability.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Engineering, Chemical
Qi Xie, Changxi Miao, Weiming Hua, Yinghong Yue, Zi Gao
Summary: A series of Ga-doped MgAl2O4 spinels were prepared and found to exhibit enhanced ethane dehydrogenation activity due to the introduction of Ga, with surface acid sites playing a key role. Additionally, the introduction of CO2 showed a significant promoting effect on the catalysts' activity and improved their stability.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Chemistry, Physical
Jun Luo, Ao Wang, Lichao Jia, Dong Yan, Mei Hu, Jian Li
Summary: This study investigates the improvement of commercial catalysts for the dehydrogenation of light alkanes to olefins. It is found that adding 5 wt % Ce to the 13 wt % Cr-gamma-Al2O3 catalyst results in the highest dehydrogenation activity and better regeneration ability.
JOURNAL OF PHYSICAL CHEMISTRY C
(2023)
Article
Chemistry, Physical
Busra Eryildirim, Huseyin Arbag, Nuray Oktar, Gulsen Dogu
Summary: In this study, non-oxidative dehydrogenation of ethane was conducted using conventional heated (CHRS) and microwave heated (MWHRS) reactor systems with SBA-15 supported Cr or Mo catalysts. Results showed that Mo catalysts had higher ethane conversion, while Cr catalysts exhibited better activity in terms of ethylene formation and C2H4/H-2 ratio. Additionally, microwave heated reactor showed superior performance over conventionally heated reactor in terms of conversion, especially with 5Cr@SBA-15 catalyst.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2021)
Article
Chemistry, Physical
Bolun Yu, Denan Li, Qianqian Zhu, Shufan Yao, Lifeng Zhang, Yanshuo Li, Zhenxin Zhang
Summary: This study successfully improved the catalytic activity of a zeolitic octahedral metal oxide by incorporating a single zinc species into its micropore. The zinc incorporation achieved a high ethane conversion rate and ethylene selectivity. Mechanism study showed that the isolated zinc site played a crucial role in activating oxygen and ethane, as well as stabilizing intermediates and transition states.
APPLIED CATALYSIS B-ENVIRONMENT AND ENERGY
(2024)
Article
Chemistry, Physical
Tianyu Wan, Fang Jin, Xiaojie Cheng, Jianhong Gong, Chaoyin Wang, Guiying Wu, Aoli Liu
Summary: This study prepared zeolite-based catalysts with different structures and compositions using various methods. It was found that Cr(VI) is active in the oxidative dehydrogenation of ethane, and the presence of hydroxyl groups has a crucial impact on the activity and stability of the catalyst.
APPLIED CATALYSIS A-GENERAL
(2022)
Article
Chemistry, Physical
Jiaxu Liu, Zhenmei Zhang, Yulin Jiang, Xiao Jiang, Ning He, Siyang Yan, Peng Guo, Guang Xiong, Ji Su, Gianvito Vile
Summary: This study reveals the importance of controlling zeolite particle size and K2O addition in improving selectivity and catalyst stability during Zn-catalyzed CO2-assisted oxidative dehydrogenation of ethane. The nano-sized SSZ-13 catalysts outperform the micro-sized SSZ-13 catalysts, and K2O modification neutralizes the acidity of the catalysts, leading to higher selectivity and stability.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2022)
Article
Chemistry, Physical
Wijnand Marquart, Shaine Raseale, Michael Claeys, Nico Fischer
Summary: The CO2 oxidative dehydrogenation reaction has the potential to play a role in CO2-utilizing catalytic reactions. Transition metal carbides, especially MoxCy, are promising catalysts for this reaction. The addition of promoters can significantly influence the crystal structure and acid-base characteristics of the carbide system, leading to enhanced activity, stability, and selectivity of the catalyst.
Article
Chemistry, Physical
Muhammad Numan, Eunji Eom, Ang Li, Michal Mazur, Hwa Woong Cha, Hyung Chul Ham, Changbum Jo, Sang-Eon Park
Summary: Catalytic oxidation of ethane using CO2 as a soft oxidant enables the production of value-added ethylene. Supported Pt5Ce intermetallic catalysts exhibit high stability and selectivity for ethylene production, with reduced affinity for ethylene compared to monometallic Pt catalysts, thereby decreasing the likelihood of coke formation on the active Pt surface.
Article
Chemistry, Applied
Xuefei Zhang, Yanbing Lu, Yingyi Han, Runping Feng, Zailai Xie
Summary: BCN materials are newly developed metal-free catalysts that exhibit high selectivity in the oxidative dehydrogenation of alkanes. The role of boron dopants and the intrinsic activities of -C=O and -B-OH in these materials are still not fully understood. In this study, a series of BCN materials with adjustable boron content and surface oxygen functional groups were synthesized, and it was found that the B/C ratio is the key parameter determining the activity and product distribution in oxidative dehydrogenation. The findings reveal the structure-function relationship of BCN catalytic systems.
JOURNAL OF ENERGY CHEMISTRY
(2023)
Article
Chemistry, Physical
Maria Tasioula, Emmanuelle de Clermont Gallerande, Stavros A. Theofanidis, Alessandro Longo, Kirill A. Lomachenko, Christoph Sahle, Angeliki A. Lemonidou
Summary: Iron oxide-based catalysts demonstrated highly selective conversion of CO2 to CO in parallel with ethane dehydrogenation, achieving 90% selectivity at a conversion rate of 23.3%. X-ray characterization techniques and structural modeling were used to understand the active sites responsible for C-H bond scission. The dynamic structural modifications of the catalysts during the reaction showed the crucial role of the support, resulting in unprecedented ethylene selectivity.
Article
Chemistry, Physical
Xin Tian, Chaohe Zheng, Haibo Zhao
Summary: Ce-modified SrFeO3 oxygen carriers exhibit high activity and selectivity in oxidative dehydrogenation of ethane, attributed to the decreased Fe2+/(Fe3++Fe4+) ratio and increased active oxygen species on the near-surface. DFT calculations demonstrate that Ce promotion leads to a lower energy barrier for surface oxygen vacancy formation in 0.2Ce/SrFeO3. The superior ethylene selectivity achieved by CO2-regenerated samples is mainly due to the higher resistance of lattice oxygen diffusion from bulk to surface.
APPLIED CATALYSIS B-ENVIRONMENTAL
(2022)
Article
Chemistry, Physical
Man Guo, Kai Feng, Yaning Wang, Binhang Yan
Summary: The study found that there are two different types of oxygen species on the surface of NiFe/CeO2 catalysts, provided by FeOx layers and CeO2 supports respectively. Weakly electrophilic oxygen species from FeOx overlayers are beneficial for producing ethylene, while strongly electrophilic oxygen species from CeO2 supports are beneficial for producing carbon monoxide.
Article
Computer Science, Artificial Intelligence
Zhiwen Shao, Zhilei Liu, Jianfei Cai, Lizhuang Ma
Summary: This paper proposes a novel end-to-end deep learning framework for joint AU detection and face alignment, which achieves precise AU detection by learning multi-scale shared features and using an adaptive attention learning module.
INTERNATIONAL JOURNAL OF COMPUTER VISION
(2021)
Article
Chemistry, Multidisciplinary
Jianbo Li, Hong Qiang, Weijing Yang, Yaru Xu, Tiange Feng, Huijie Cai, Shuaishuai Wang, Zhilei Liu, Zhenzhong Zhang, Jinjie Zhang
Summary: This study presents a novel nanoparticle platform for oral drug delivery based on adaptation to the intestinal microenvironment, demonstrating efficient drug protection and rapid mucus penetration at the jejunal epithelial surface. The platform showed significant reductions in blood glucose levels after intrajejunal administration in both normal and diabetic rats, highlighting its potential for controlled drug delivery.
JOURNAL OF CONTROLLED RELEASE
(2022)
Article
Chemistry, Applied
Jinjie Zhang, Shuaishuai Wang, Huijie Cai, Tiange Feng, Zhilei Liu, Yaru Xu, Jianbo Li
Summary: HIP-assembled liposomes, such as F127-RPC-Lip, achieved efficient drug encapsulation with a smaller hydrodynamic diameter and slower drug release compared to Rhein solution. Furthermore, F127-RPC-Lip demonstrated prolonged systemic circulation time, superior drug distribution, and attenuated pancreatic injury in rats post-injection, suggesting promising potential for treating pancreatitis.
JOURNAL OF MICROENCAPSULATION
(2021)
Article
Biochemistry & Molecular Biology
Zhilei Liu, Jingrou Meng, Zefeng Sun, Jinkai Su, Xiangyu Luo, Jiamei Song, Pengfei Li, Yankun Sun, Cailian Yu, Xianlong Peng
Summary: Low temperature negatively affects rice tillering, but zinc application after low temperature can promote tiller recovery by increasing nitrogen and zinc accumulation and maintaining hormones balance.
Article
Agronomy
Zhilei Liu, Jinkai Su, Xiangyu Luo, Jingrou Meng, Haonan Zhang, Pengfei Li, Yankun Sun, Jiamei Song, Xianlong Peng, Cailian Yu
Summary: The study demonstrates that appropriate zinc application enhances rice resistance to low-temperature stress, promotes tiller recovery, improves nutrient absorption, and accelerates tiller growth. However, high nitrogen levels may limit the stimulatory effect of zinc on rice tillering under low temperature.
FOOD AND ENERGY SECURITY
(2022)
Article
Biochemistry & Molecular Biology
Minjie Gao, Zhilei Liu, Zhongsheng Zhao, Zichao Wang, Xiuyu Hu, Yun Jiang, Jiajun Yan, Zhitao Li, Zhiyong Zheng, Xiaobei Zhan
Summary: This study explored the roles of exoR and exoX genes in curdlan biosynthesis in Agrobacterium sp. ATCC 31749. The results showed that the curdlan yields and glucose utilization increased in delta exoR and delta exoX strains compared with the wild-type strain during batch fermentation. However, the curdlan yields and gel strength decreased in exoR and exoX overexpression strains.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Multidisciplinary Sciences
Zhilei Liu, Mingying Li, Guibing Pang, Hongxiang Song, Qi Yu, Hui Zhang
Summary: In this study, an improved arithmetic optimization algorithm using a multi-strategy approach was proposed to enhance the performance of the algorithm. The diversity of the population was increased by utilizing circle chaotic mapping. The convergence speed of the algorithm was improved by optimizing the math optimizer accelerated (MOA) function with a composite cycloid. An optimal mutation strategy combining the sparrow elite mutation approach and Cauchy disturbances was used to enhance the ability of individuals to escape local optima. The experimental results demonstrated that the improved algorithm achieved significant advantages in terms of global search ability and convergence speed.
Article
Chemistry, Multidisciplinary
Mingying Li, Zhilei Liu, Manfu Wang, Guibing Pang, Hui Zhang
Summary: A novel intelligent controller was designed to enable a quadruped robot to track a desired trajectory with high precision and steady gait. The controller utilized a new mechanical structure and optimized foot trajectory. The parameters of the fuzzy adaptive PID control system were optimized using the sparrow search algorithm. Co-simulation with MATLAB and ADAMS demonstrated the effectiveness of the designed mechanical structure and control system.
APPLIED SCIENCES-BASEL
(2022)
Article
Plant Sciences
Sha Li, Chengbin Wu, Hao Liu, Xiaochen Lyu, Fengsheng Xiao, Shuhong Zhao, Chunmei Ma, Chao Yan, Zhilei Liu, Hongyu Li, Xuelai Wang, Zhenping Gong
Summary: Nitrate inhibition on soybean nodulation and nitrogen fixation is manifested through reduced bacteroid numbers, fused symbiosomes, increased peribacteroid spaces, and degradation of poly-beta-hydroxybutyrate granules. Nitrogenase activity of nodules is strongly decreased. Assimilated carbon is preferentially allocated to non-nodulating roots.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Computer Science, Information Systems
Zhilei Liu, Chenggong Zhang, Yunpeng Wu, Cuicui Zhang
Summary: Previous research on face restoration mainly dealt with repairing specific types of low-quality facial images such as low-resolution or occluded ones. However, in real-world scenarios, these two forms of image degradation often coexist. Therefore, it is crucial to develop a model that can simultaneously repair LR and occluded images. This paper introduces a multi-scale feature graph generative adversarial network (MFG-GAN) to address face restoration in both LR and occluded degradation modes, as well as single degradation type. The proposed MFG-GAN integrates graph convolution and feature pyramid networks to restore occluded low-resolution face images into non-occluded high-resolution face images, achieving high-quality results in face super resolution and completion as well as preserving facial expression details.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Chenggong Zhang, Zhilei Liu
Summary: This paper proposes a novel framework for face super-resolution by introducing both global shape and local texture information using a recurrent convolutional network. Landmarks and facial action units information are extracted as intermediate outputs and used as quantitative metrics for facial detail restoration.
2022 IEEE INTERNATIONAL JOINT CONFERENCE ON BIOMETRICS (IJCB)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Jiyuan Cao, Zhilei Liu, Yong Zhang
Summary: This paper proposes a meta-learning and transformer-based cross-subject AU detection model. The research shows that the model can eliminate identity-caused differences and obtain a robust and generalized AU discriminative embedding representation. Experimental results demonstrate that the method outperforms state-of-the-art techniques on two public datasets.
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2022)
Article
Plant Sciences
Zhilei Liu, Shiting Bi, Jingrou Meng, Tingting Liu, Pengfei Li, Cailian Yu, Xianlong Peng
Summary: The study found that arbuscular mycorrhizal fungi (AMF) can improve plant tolerance to low-temperature stress by regulating proline accumulation. Nitric oxide (NO) plays an important signaling role in proline metabolism. The level of environmental nitrogen (N) affects AMF colonization and its contribution to plant resistance under low-temperature conditions.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Zhiwen Shao, Zhilei Liu, Jianfei Cai, Yunsheng Wu, Lizhuang Ma
Summary: An end-to-end deep learning based attention and relation learning framework is proposed for AU detection, which can adaptively select and extract AU-related local features and optimize spatial attention to extract more relevant features. Experimental results show that the framework outperforms state-of-the-art methods on multiple benchmarks and can adapt to various AUs and challenging conditions such as occlusions and large poses.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2022)
Article
Environmental Sciences
Zhilei Liu
Summary: This study investigated the operation effect and investment of advanced treatment of sewage treatment plant tail water using constructed wetland technology. The results showed that the effluent quality can meet surface water level IV standard. Comprehensive consideration of factors such as local technology, economy, and water environment is necessary to promote overall development of environmental protection.
FRESENIUS ENVIRONMENTAL BULLETIN
(2021)
