Article
Thermodynamics
Ning Wang, Huanong Cheng, Ying Wang, Yuanyuan Yang, Yun Teng, Chao Li, Shiqing Zheng
Summary: The solubility of CO2 in three protic ionic liquids was measured and fitted using two models. Henry's law constants of CO2 and partial molar properties at infinite dilution were estimated.
JOURNAL OF CHEMICAL THERMODYNAMICS
(2022)
Article
Thermodynamics
Daisuke Kodama, Yuki Suzuki, Takashi Makino, Mitsuhiro Kanakubo, Shun Kodama, Tsutomu Watanabe, Masashi Sugiya
Summary: We evaluated the density, viscosity, and CO2 solubility of four phosphonium-based ionic liquids (ILs). The increase in alkyl chain length in the cation led to a decrease in density and an increase in viscosity. The CO2 solubility in the ILs showed a pressure-dependent physical absorption, with [P2228][BETA] exhibiting the highest solubility among the tested ILs.
FLUID PHASE EQUILIBRIA
(2023)
Article
Chemistry, Multidisciplinary
Hua Zhao, Gary A. Baker
Summary: In this study, glycol ether-functionalized imidazolium, phosphonium, and ammonium ionic liquids containing acetate (OAc-) or Tf2N- anions were designed. These task-specific ILs were found to have the capability to solubilize up to 0.55 mol CO2 per mole of IL (or 5.9 wt% CO2) at room temperature and atmospheric pressure. While acetate anions provided better CO2 capture, Tf2N- anions were more compatible with alcohol dehydrogenase (ADH), a key enzyme involved in the enzymatic conversion of CO2 to methanol. These promising results suggest the possibility of capturing and enzymatically converting CO2 under ambient pressure.
GREEN CHEMISTRY LETTERS AND REVIEWS
(2023)
Article
Thermodynamics
Yifeng Chen, Zhengxing Dai, Xiaoyan Ji, Xiaohua Lu
Summary: This study measured CO2 solubilities in different hybrid absorbents, quantifying the contribution of the confinement effect and establishing the relationship between surface roughness and molecular parameters. The results showed that a specific hybrid absorbent is promising for CO2 separation based on CO2 absorption capacity and enthalpy.
FLUID PHASE EQUILIBRIA
(2021)
Article
Engineering, Multidisciplinary
Hamed Moosanezhad-Kermani, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, Shahab S. Band, Amir Mosavi
Summary: This study presents a mathematical correlation model for predicting CO2 solubility in ILs using the GMDH method, which shows a good fit between experimental and predicted data. By utilizing a large data bank, the model is compared to other existing models and shows promise as an efficient predictor for estimating CO2 solubility in ILs across different industries.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2021)
Article
Chemistry, Physical
Lanyun Wang, Lingshuang Li, Yongliang Xu, Yao Li, Yan Wang, Tingxiang Chu
Summary: This study prepared various hybrid absorbents by mixing several alkali metal salts with [Bmim][BF4] or [Bmim][Ac] to absorb CO2. The hybrid absorbents based on [Bmim][BF4] showed enhanced absorption effect on CO2, while the hybrid absorbent based on [Bmim][Ac] had an inhibitory effect.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Engineering, Chemical
Fatemeh Sadat Zebarjad, Zi Wang, Hao Li, Sheng Hu, Yongchun Tang, Theodore T. Tsotsis
Summary: This paper investigated the solubility properties of the ionic liquid [EMIM][BF4], focusing on the solubilities of methanol and carbon dioxide. The study found that while CO2 solubilities are high at room temperature, they become negligible under typical MeS conditions.
CHEMICAL ENGINEERING SCIENCE
(2021)
Article
Chemistry, Physical
Zongyang Liu, Xiao-Qiang Bian, Suling Duan, Lianguo Wang, Rayhanul Islam Fahim
Summary: In this study, machine learning methods were used to predict the solubility of carbon dioxide in ionic liquids. Experimental and simulated data were collected to train the models, and different machine learning algorithms were employed. The performance of the models was evaluated using various error indexes, and the results showed that the PSO-SVR model had the highest accuracy and the lowest time consumption.
JOURNAL OF MOLECULAR LIQUIDS
(2023)
Article
Thermodynamics
Anirban Dey, Sweta Chetananand Balchandani
Summary: Statistical non-rigorous models are developed to predict CO2 solubility in different aqueous blends, which can estimate the liquid phase CO2 loading in different solvent formulations. The proposed models show good agreement with experimental data on CO2 solubility.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Biochemistry & Molecular Biology
Wanting Cheng, Feng Xian, Zhanluo Zhou, Kun Hu, Jing Gao
Summary: This study investigates the solubility and stability of carotenoids in phosphonium- and ammonium-based ionic liquids (ILs). The results show that carotenoids have higher solubility in acidic ILs compared to alkaline ILs, with an optimal pH of 6. Among the ILs studied, tributyloctylphosphonium chloride ([P-4448]Cl) exhibits the highest solubility. Higher temperatures improve solubility but decrease storage stability, while water content has no significant effect on carotenoid stability but reduces solubility. This study provides guidance for selecting appropriate solvents for carotenoid extraction and storage.
Article
Multidisciplinary Sciences
Mahboubeh Pishnamazi, Samyar Zabihi, Sahar Jamshidian, Fatemeh Borousan, Ali Zeinolabedini Hezave, Azam Marjani, Saeed Shirazian
Summary: Efficient processes for continuous manufacturing of solid dosage oral formulations are crucial in the pharmaceutical industry to implement the Quality-by-Design paradigm. Supercritical solvent-based manufacturing can be used in pharmaceutical processing due to its operational advantages. Solubility measurements are essential prior to evaluating the possibility of supercritical processing for a specific medicine, as demonstrated in this study on decitabine. The study found that the solubility of decitabine varied with temperature and pressure, with a direct relation to pressure and a temperature-dependence determined by the crossover pressure. Theoretical models were used to correlate the solubility data, with linear models showing the highest accuracy in predicting decitabine solubilities.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Mohammad-Reza Mohammadi, Fahimeh Hadavimoghaddam, Saeid Atashrouz, Ali Abedi, Abdolhossein Hemmati-Sarapardeh, Ahmad Mohaddespour
Summary: Knowledge of the solubilities of hydrocarbon components of natural gas in pure water and aqueous electrolyte solutions is important and this study proposed machine-learning algorithms to estimate their solubilities. A huge database of hydrocarbon gases solubility and three famous equations of state were used for comparison. The AdaBoost-SVR models showed superior performance in predicting high-pressure and high-temperature conditions.
SCIENTIFIC REPORTS
(2022)
Article
Biochemistry & Molecular Biology
Fatin Nor Arissa Azhar, Mohd Faisal Taha, Siti Musliha Mat Ghani, Muhammad Syafiq Hazwan Ruslan, Noor Mona Md Yunus
Summary: This study investigated the solubility of carbon dioxide in MEA-BMIM hybrid solvents and used response surface methodology to design and analyze the experiments. The results showed that the addition of BMIM in the aqueous solution can enhance the solubility of CO2, and the optimum conditions for CO2 absorption in 30 wt% MEA-BMIM solution were identified.
Article
Chemistry, Physical
Javid Safarov, Gulyaz Abdullayeva, Mahir Bashirov, Dirk Tuma, Rasim Bashirov
Summary: The solubility data of carbon dioxide (CO2) in the ionic liquid [EMIM][CH3SO3] were reported at various temperatures and pressures, showing a monotonic decrease in solubility with increasing temperature. The study calculated Henry's law constant and thermodynamic state properties derived from it, providing valuable insights into the solvation behavior of CO2 in the ionic liquid.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Chemistry, Physical
Gholamhossein Sodeifian, Ratna Surya Alwi, Fariba Razmimanesh, Mohammadamin Abadian
Summary: The solubility of Dasatinib monohydrate in supercritical carbon dioxide was studied and correlated using different types of models. The experimental results showed that Dasatinib has a high solubility in supercritical carbon dioxide within a certain temperature and pressure range, with the solubility ranging from 0.004-0.082 g/L. Based on the evaluation criteria, the solid-liquid equilibrium model performed superiorly in fitting the solubility data.
JOURNAL OF MOLECULAR LIQUIDS
(2022)
Article
Energy & Fuels
Honglin Wang, Chunyan Ma, Zhuhong Yang, Xiaohua Lu, Xiaoyan Ji
Article
Green & Sustainable Science & Technology
Honglin Wang, Yanrong Liu, Aatto Laaksonen, Anna Krook-Riekkola, Zhuhong Yang, Xiaohua Lu, Xiaoyan Ji
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2020)
Article
Biology
Long Wang, Dandan Wang, Zhuhong Yang, Shun Jiang, Jianing Qu, Wei He, Zhenming Liu, Junjie Xing, Youchu Ma, Qinlu Lin, Feng Yu
Summary: In this study, the functions of 12 FERONIA-like receptor (FLR) family members in rice in regulating grain size and quality were analyzed. The study found that FLR1, FLR2, FLR8 negatively regulated grain size while FLR15 positively regulated it. FLR1 was associated with OsRac1 Rho-like GTPase and its mutation affected grain width and chalkiness, highlighting the molecular mechanisms behind FLR1-mediated regulation of grain size.
SCIENCE CHINA-LIFE SCIENCES
(2021)
Article
Chemistry, Applied
Zhu-Hong Yang, Hui-Ming Zhou, Yi-Peng Bai
Summary: By utilizing vacuum ultrasound treatment, the hardness of vegetarian meatloaves (VMs) increased, the surface became smoother and the structure tighter, with even distribution of moisture. Additionally, the treatment resulted in an increase of beta-sheet content and protein interactions, making the texture of VMs closer to beef patties.
Article
Engineering, Chemical
Yifeng Chen, Biao Li, Jian Wu, Zhuhong Yang, Xiaohua Lu, Xiaoyan Ji
Summary: In this study, the kinetic properties of CO2 in aqueous choline-amino acids were systematically investigated, resulting in the proposal of a new absorption ability index. The results indicated that 30 wt% aqueous choline-serine is a promising absorbent for CO2 separation.
SEPARATION AND PURIFICATION TECHNOLOGY
(2021)
Article
Chemistry, Physical
Yifeng Chen, Zhuhong Yang, Xiaohua Lu, Xiaoyan Ji
Summary: Understanding the mass-transfer kinetics of CO2 in novel hybrid absorbents is crucial for process design and evaluation. The study determined the liquid-side mass-transfer coefficients and second-order reaction rate constants of CO2 in a specific hybrid absorbent, finding promising properties for CO2 separation.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Engineering, Chemical
Yumeng Zhang, Yingying Zhang, Xueling Pan, Yao Qin, Jiawei Deng, Shanshan Wang, Qingwei Gao, Yudan Zhu, Zhuhong Yang, Xiaohua Lu
Summary: This study investigates the effect of different functional groups on the separation performance of Ca2+ and Na+ in graphene nanopores. Results show that group modification can improve the separation efficiency and provide guidelines for applications.
CHINESE JOURNAL OF CHEMICAL ENGINEERING
(2022)
Article
Biochemistry & Molecular Biology
Mingwei An, Xueling Chen, Zhuhong Yang, Jianyu Zhou, Shan Ye, Zhong Ding
Summary: The molecular characterization of the putative Ca-v beta subunit gene of D. destructor was performed in this study, revealing its expression in all nematode tissues. RNA interference experiments showed that DdCa(v)beta plays a crucial role in regulating locomotion, chemotaxis, and reproduction in D. destructor. Additionally, co-silencing of HVA Ca-v alpha(1) and Ca-v beta subunits demonstrated stronger interference effects.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Chemistry, Applied
Baoqin Cai, Jiyong Wang, Hu Hu, Sitong Liu, Chengxiao Zhang, Ying Zhu, Marco Bocola, Lei Sun, Yaoyao Ji, Ameng Zhou, Kuifang He, Qinli Peng, Xiao Luo, Ruimei Hong, Juanjuan Wang, Chuanyang Shang, Zikun Wang, Zhuhong Yang, Yong Koy Bong, Thomas Daussmann, Haibin Chen
Summary: This study enhanced the activity of an (R)-selective amine transaminase through directed evolution, addressing the issue of inhibition by (R)-alpha-PEA, and developed a continuous neat organic process for efficient production of (R)-alpha-PEA.
ORGANIC PROCESS RESEARCH & DEVELOPMENT
(2021)
Article
Chemistry, Physical
Tian Liu, Zhangyong Liu, Lipeng Tang, Jun Li, Zhuhong Yang
Summary: In this study, the trans influence of boryl ligands and its impact on catalyst activity were investigated through theoretical calculations. Results showed that boryl ligands exhibit a stronger trans influence than hydride ligands, enhancing catalyst activity by modifying the Ru-H bond properties. This suggests the potential for designing more active catalysts than the Ru(PNP)(CO)H-2 complex.
Article
Chemistry, Physical
Xiangyang Feng, Jun Li, Zhuhong Yang
Summary: This study investigates the effects of substituents in PNP-type ruthenium complexes in the hydrogenation of CO2 to formate. The results show that the methyl group and iso-propyl group are favorable substituents, while the tert-butyl group is unfavorable due to steric hindrance. Cyclopentyl and cyclohexyl provide a wider reaction space compared to tert-butyl.
Article
Biochemistry & Molecular Biology
Xueling Chen, Mingwei An, Shan Ye, Zhuhong Yang, Zhong Ding
Summary: This study cloned the VGCC α(2)δ subunit in Ditylenchus destructor and demonstrated its expression pattern and effects on various behaviors and functions of the nematode. The results provide a theoretical foundation for further research on the VGCC in plant parasitic nematodes.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Microbiology
Shan Ye, Rui Yan, Xinwen Li, Yufeng Lin, Zhuhong Yang, Yihang Ma, Zhong Ding
Summary: GC-7, a nematicidal bacterium, effectively controls Meloidogyne graminicola by significantly increasing mortality rate of juveniles and inhibiting egg hatching, reducing damage to rice. It shows high biocontrol efficacy in greenhouse and field experiments, promoting plant growth and enhancing defense-related enzyme activities in plant roots.
FRONTIERS IN MICROBIOLOGY
(2022)
Article
Engineering, Chemical
Yifeng Chen, Sida Liu, Kang Sun, Jianchun Jiang, Dong Wang, Zhuhong Yang, Xiaoyan Ji
Summary: The kinetic properties of CO2 in a hybrid absorbent were determined, and an index called absorbility was proposed to evaluate the CO2 separation performance, combining the kinetic and thermodynamic properties. The results indicate that the hybrid absorbent performs comparably to traditional aqueous monoethanolamine, with the advantages of low regeneration temperature and low environmental impact.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Review
Biochemistry & Molecular Biology
Xin Zhang, Zhuhong Yang, Dousheng Wu, Feng Yu
PLANT COMMUNICATIONS
(2020)
Article
Energy & Fuels
Shitong Fang, Houfan Du, Tao Yan, Keyu Chen, Zhiyuan Li, Xiaoqing Ma, Zhihui Lai, Shengxi Zhou
Summary: This paper proposes a new type of nonlinear VIV energy harvester (ANVEH) that compensates for the decrease in peak energy output at low wind speeds by introducing an auxiliary structure. Theoretical and experimental results show that ANVEH performs better than traditional nonlinear VIV energy harvesters under various system parameter variations.
Article
Energy & Fuels
Wei Jiang, Shuo Zhang, Teng Wang, Yufei Zhang, Aimin Sha, Jingjing Xiao, Dongdong Yuan
Summary: A standardized method was developed to evaluate the availability of solar energy resources in road areas, which combined the Analytic Hierarchy Process (AHP) and the Geographic Information System (GIS). By analyzing critical factors and using a multi-indicator evaluation method, the method accurately evaluated the utilization of solar energy resources and guided the optimal location selection for road photovoltaic (PV) projects. The results provided guidance for the application of road PV projects and site selection for route corridors worldwide, promoting the integration of transportation and energy.
Article
Energy & Fuels
Chang Liu, Jacob A. Wrubel, Elliot Padgett, Guido Bender
Summary: The study investigates the effects of coating defects on the performance of the anode porous transport layer (PTL) in water electrolyzers. The results show that an increasing fraction of uncoated regions on the PTL leads to decreased cell performance, with continuous uncoated regions having a more severe impact compared to multiple thin uncoated strips.
Article
Energy & Fuels
Marcos Tostado-Veliz, Xiaolong Jin, Rohit Bhakar, Francisco Jurado
Summary: In this paper, a coordinated charging price mechanism for clusters of parking lots is proposed. The research shows that enabling vehicle-to-grid characteristics can bring significant economic benefits for users and the cluster coordinator, and vehicle-to-grid impacts noticeably on the risk-averse character of the uncertainty-aware strategies. The developed pricing mechanism can reduce the cost for users, avoiding to directly translate the energy cost to charging points.
Article
Energy & Fuels
Duan Kang
Summary: Building an energy superpower is a key strategy for China and a long-term goal for other countries. This study proposes an evaluation system and index for measuring energy superpower, and finds that China has significantly improved its ranking over the past 21 years, surpassing other countries.
Article
Energy & Fuels
Fucheng Deng, Yifei Wang, Xiaosen Li, Gang Li, Yi Wang, Bin Huang
Summary: This study investigated the synergistic blockage mechanism of sand and hydrate in gravel filling layer and the evolution of permeability in the layer. Experimental models and modified permeability models were established to analyze the effects of sand particles and hydrate formation on permeability. The study provided valuable insights for the safe and efficient exploitation of hydrate reservoirs.
Article
Energy & Fuels
Hao Wang, Xiwen Chen, Natan Vital, Edward Duffy, Abolfazl Razi
Summary: This study proposes a HVAC energy optimization model based on deep reinforcement learning algorithm. It achieves 37% energy savings and ensures thermal comfort for open office buildings. The model has a low complexity, uses a few controllable factors, and has a short training time with good generalizability.
Article
Energy & Fuels
Moyue Cong, Yongzhuo Gao, Weidong Wang, Long He, Xiwang Mao, Yi Long, Wei Dong
Summary: This study introduces a multi-strategy ultra-wideband energy harvesting device that achieves high power output without the need for external power input. By utilizing asymmetry, stagger array, magnetic coupling, and nonlinearity strategies, the device maintains a stable output voltage and high power density output at non-resonant frequencies. Temperature and humidity monitoring are performed using Bluetooth sensors to adaptively assess the device.
Article
Energy & Fuels
Tianshu Dong, Xiudong Duan, Yuanyuan Huang, Danji Huang, Yingdong Luo, Ziyu Liu, Xiaomeng Ai, Jiakun Fang, Chaolong Song
Summary: Electrochemical water splitting is crucial for hydrogen production, and improving the hydrogen separation rate from the electrode is essential for enhancing water electrolyzer performance. However, issues such as air bubble adhesion to the electrode plate hinder the process. Therefore, a methodology to investigate the two-phase flow within the electrolyzer is in high demand. This study proposes using a microfluidic system as a simulator for the electrolyzer and optimizing the two-phase flow by manipulating the micro-structure of the flow.
Article
Energy & Fuels
Shuo Han, Yifan Yuan, Mengjiao He, Ziwen Zhao, Beibei Xu, Diyi Chen, Jakub Jurasz
Summary: Giving full play to the flexibility of hydropower and integrating more variable renewable energy is of great significance for accelerating the transformation of China's power energy system. This study proposes a novel day-ahead scheduling model that considers the flexibility limited by irregular vibration zones (VZs) and the probability of flexibility shortage in a hydropower-variable renewable energy hybrid generation system. The model is applied to a real hydropower station and effectively improves the flexibility supply capacity of hydropower, especially during heavy load demand in flood season.
Article
Energy & Fuels
Zhen Wang, Kangqi Fan, Shizhong Zhao, Shuxin Wu, Xuan Zhang, Kangjia Zhai, Zhiqi Li, Hua He
Summary: This study developed a high-performance rotary energy harvester (AI-REH) inspired by archery, which efficiently accumulates and releases ultralow-frequency vibration energy. By utilizing a magnetic coupling strategy and an accumulator spring, the AI-REH achieves significantly accelerated rotor speeds and enhanced electric outputs.
Article
Energy & Fuels
Yi Yang, Qianyi Xing, Kang Wang, Caihong Li, Jianzhou Wang, Xiaojia Huang
Summary: In this study, a novel hybrid Quantile Regression (QR) model is proposed for Probabilistic Load Forecasting (PLF). The model integrates causal dilated convolution, residual connection, and Bidirectional Long Short-Term Memory (BiLSTM) for multi-scale feature extraction. In addition, a Combined Probabilistic Load Forecasting System (CPLFS) is proposed to overcome the inherent flaws of relying on a single model. Simulation results show that the hybrid QR outperforms traditional models and CPLFS exceeds the best benchmarks in terms of prediction accuracy and stability.
Article
Energy & Fuels
Wen-Jiang Zou, Young-Bae Kim, Seunghun Jung
Summary: This paper proposes a dynamic prediction model for capacity fade in vanadium redox flow batteries (VRFBs). The model accurately predicts changes in electrolyte volume and capacity fade, enhancing the competitiveness of VRFBs in energy storage applications.
Article
Energy & Fuels
Yuechao Ma, Shengtie Wang, Guangchen Liu, Guizhen Tian, Jianwei Zhang, Ruiming Liu
Summary: This paper focuses on the balance of state of charge (SOC) among multiple battery energy storage units (MBESUs) and bus voltage balance in an islanded bipolar DC microgrid. A SOC automatic balancing strategy is proposed considering the energy flow relationship and utilizing the adaptive virtual resistance algorithm. The simulation results demonstrate the effectiveness of the proposed strategy in achieving SOC balancing and decreasing bus voltage unbalance.
Article
Energy & Fuels
Raad Z. Homod, Basil Sh. Munahi, Hayder Ibrahim Mohammed, Musatafa Abbas Abbood Albadr, Aissa Abderrahmane, Jasim M. Mahdi, Mohamed Bechir Ben Hamida, Bilal Naji Alhasnawi, A. S. Albahri, Hussein Togun, Umar F. Alqsair, Zaher Mundher Yaseen
Summary: In this study, the control problem of the multiple-boiler system (MBS) is formulated as a dynamic Markov decision process and a deep clustering reinforcement learning approach is applied to obtain the optimal control policy. The proposed strategy, based on bang-bang action, shows superior response and achieves more than 32% energy saving compared to conventional fixed parameter controllers under dynamic indoor/outdoor actual conditions.