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SSRN 2023年

作者： Liu, Guangyong Lu, Yumiao Lu, Junfeng Wang, Yanlei Liang, Shijing He, Hongyan Jiang, Lilong National Engineering Research Center of Chemical Fertilizer Catalyst Fuzhou University Fujian Fuzhou350002 China CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex Systems Beijing Key Laboratory of Ionic Liquids Clean Process Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China Longzihu New Energy Laboratory Zhengzhou Institute of Emerging Industrial Technology Zhengzhou450000 China

Electrocatalytic depolymerization of lignin into value-added chemicals offers a promising technique to make biorefining sustainable. Herein, we report a robust trimetallic PdNiBi electrocatalyst for reductive C-O bond cleavage of different lignin model dimers and oxidized lignin under mild conditions. The reduction reaction proceeds with complete substrate conversion and excellent yields toward monomers of phenols (80-99%) and acetophenones (75-96%) in the presence of an ionic liquid electrolyte with operational stability. Systematic experimental investigations together with DFT calculations reveal that the outstanding performance of the catalyst results from the synergistic effect of the metal elements, which facilitates the easier formation of a key Cα radical intermediate and the facile desorption of the as-formed products at the electrode. The results open up new opportunities for lignin valorization through the green electrocatalytic approach. © 2023, The Authors. All rights reserved.

关键词： Ionic liquids

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Fast-response fluorescent probe with favorable water solubility for highly sensitive imaging of endogenous tyrosinase in living cells and zebrafish model

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Chinese Chemical Letters 2021年第5期32卷 1785-1789页

作者： Zheng Li Xiaofeng Xia Yu You Cuifen Lu Guichun Yang Chao Ma Junqi Nie Qi Sun Shuilin Wu Jun Ren Feiyi Wang Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials&Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules&State Key Laboratory of Biocatalysis and Enzyme Engineering Hubei UniversityWuhan 430062China Key Laboratory for Green Chemical Process of Ministry of Education and School of Chemistry and Environmental Engineering Wuhan Institute of TechnologyWuhan 430205China

Tyrosinase(TYR) is an important polyphenolic oxidase enzyme and usually regards as a biomarker of melano ma *** effective tracking TYR activity in vivo will help to study the mechanism of TYR in living organisms and forecasts related *** this study,we present a novel TYR-activatable fluo rescent probe(CHMC-DOPA) for tracking TYR activity in vitro and in ***-DOPA is constructed by incorporating dopamine(DOPA) moiety into a fluorescent chloro-hydroxyl-merocyanine(CHMC)*** exposure to TYR,the dopamine unit in CHMC-DOPA is oxidized to a dopaquinone derivative,and an intramolecular photo-induced electron transfer(PET) process between CHMC fluorophore and o-dopaquinone will take place,the fluorescence of CHMC-DOPA is quenched ***,the evaluation of TYR activity is established in terms of the relationship between fluorescence quenching efficiency and TYR *** our experiments,CHMC-DOPA shows various advantages,such as fast response(8 min),low concentration of TYR activation(0.5 U/mL),good water-solubility,as well as the lowest detection limit(0.003 U/mL) compared with previously reported ***,CHMCDO PA also exhibits excellent cell membrane permeability and low cytotoxicity,which is successfully used to monitor endogenous TYR activity in living cancer cells and zebrafish ***-DOPA performs well,and we anticipate that this newly designed novel platform will provide an alternative for high effective monitoring TYR activity in biosystems.

关键词： Fast-response Fluorescent probe Tyrosinase Good biocompatibility Fluorescence imaging

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Transductive Transfer Broad Learning Soft Sensor for Multimode Quality Prediction

Transductive Transfer Broad Learning Soft Sensor for Multimo...

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International Conference on Informative and Cybernetics for Computational Social Systems (ICCSS)

作者： Jialiang Zhu Hongying Deng Danya Xu Tao Yang Yi Liu Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

In chemical processes, reliable soft sensors are generally established by enough labeled data. However, in most multimode processes, the collection of sufficient labeled data is difficult due to the high cost and complexity. In this work, transductive transfer broad learning (TTBL) is proposed for multimode quality prediction. By transferring the useful information from the related domain, unlabeled data in the prediction domain is utilized for modeling. First, the data feature is extracted by the feature and enhancement nodes. The similarity information of current and related domain data is captured by the $k$ nearest-neighbor graph. Then, label information in the related domain can be transferred and similar information in the same domain can be retained by the manifold regularization framework. Finally, the output weight can be effectively calculated by the ridge regression algorithm. Experimental results on continuous stirred tank reactor datasets show the superiority of TTBL, compared with several common methods.

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Effect of the lead deposition on the performance of the negative electrode in an aqueous lead-carbon hybrid capacitor

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Journal of Energy Chemistry 2021年第4期30卷 509-516页

作者： Jinpeng Bao Nan Lin Haibo Lin Jiaxiang Guo Hongyu Gao Weiqi Gao State Key Laboratory of Inorganic Synthesis and Preparative Chemistry Jilin UniversityChangchun 130012JilinChina Institute of Energy and Process Systems Engineering Braunschweig University of TechnologyBraunschweigGermany Zhuhai College of Jilin University Zhuhai 519041GuangdongChina

Lead-carbon hybrid capacitors are the electrochemical devices between supercapacitors and lead-acid batteries,with low prices,stability in high and low temperature,good security and broad application *** paper introduces an electrodeposition behavior of Pb^(2+)on the negative electrode,which can improve the cycle life of the lead-carbon hybrid *** the charging process,lead ions in the electrolyte can diffuse from the positive electrode of the lead-carbon hybrid capacitor into the negative *** charging at a low current density,the lead ions around the negative electrode can be reduced to lead,and it is then quickly converted to lead sulfate *** the increase of the number of cycles,the final result is *** can reduce the specific surface area of the electric double layer,thereby reducing the capacitance performance of the carbon *** a result,it reduces the charge-discharge efficiency of the lead-carbon hybrid *** service life of lead-carbon hybrid capacitor is significantly improved by the inhibition of lead deposition by anion exchange *** capacity retention rate at 5 A/g is improved from 84%after 1000 cycles to 95%after 10,000 *** discovery of lead deposition in the negative electrode is conducive to improving the performance of long-life lead-carbon hybrid capacitors.

关键词： Lead-carbon hybrid capacitor Negative electrode Electrodeposition Cycle life

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Multi-scale feature fused stacked autoencoder and its application for soft sensor modeling

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Chinese Journal of Chemical engineering 2025年 81卷 241-254页

作者： Li, Zhi Xia, Yuchong Long, Jian Liu, Chensheng Zhang, Longfei State Key Laboratory of Industrial Control Technology East China University of Science and Technology Shanghai 200237 China Key Laboratory of Smart Manufacturing in Energy Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Huzhou Institute of Industrial Control Technology Huzhou313099 China Engineering Research Center of Process System Engineering Ministry of Education East China University of Science and Technology Shanghai200237 China

Deep Learning has been widely used to model soft sensors in modern industrial processes with nonlinear variables and uncertainty. Due to the outstanding ability for high-level feature extraction, stacked autoencoder (SAE) has been widely used to improve the model accuracy of soft sensors. However, with the increase of network layers, SAE may encounter serious information loss issues, which affect the modeling performance of soft sensors. Besides, there are typically very few labeled samples in the data set, which brings challenges to traditional neural networks to solve. In this paper, a multi-scale feature fused stacked autoencoder (MFF-SAE) is suggested for feature representation related to hierarchical output, where stacked autoencoder, mutual information (MI) and multi-scale feature fusion (MFF) strategies are integrated. Based on correlation analysis between output and input variables, critical hidden variables are extracted from the original variables in each autoencoder's input layer, which are correspondingly given varying weights. Besides, an integration strategy based on multi-scale feature fusion is adopted to mitigate the impact of information loss with the deepening of the network layers. Then, the MFF-SAE method is designed and stacked to form deep networks. Two practical industrial processes are utilized to evaluate the performance of MFF-SAE. Results from simulations indicate that in comparison to other cutting-edge techniques, the proposed method may considerably enhance the accuracy of soft sensor modeling, where the suggested method reduces the root mean square error (RMSE) by 71.8%, 17.1% and 64.7%, 15.1%, respectively. © 2025 Chemical Industry and engineering Society of China, and Chemical Industry Press Co., Ltd.

关键词： Frequency estimation

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Stable confinement of Fe/Fe_(3)C in Fe,N-codoped carbon nanotube towards robust zinc-air batteries

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Chinese Chemical Letters 2021年第3期32卷 1121-1126页

作者： Lingbo Zong Xin Chen Shuming Dou Kaicai Fan Zumin Wang Wenjun Zhang Yunmei Du Jie Xu Xiaofei Jia Qi Zhang Xia Li Yida Deng Yanan Chen Lei Wang Taishan Scholar Advantage and Characteristic Discipline Team of Eco Chemical Process and Technology Key Laboratory of Optic-electric Sensing and Analytical Chemistry for Life ScienceMOEState Key Laboratory of Eco-chemical EngineeringCollege of Chemistry and Molecular EngineeringQingdao University of Science and TechnologyQingdao 266042China School of Materials Science and Engineering Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of EducationTianjin Key Laboratory of Composite and Functional MaterialsTianjin UniversityTianjin 300072China Centre for Clean Environment and Energy School of Environment and ScienceGriffith UniversityQueensland 4222Australia Institute of Process Engineering Chinese Academy of SciencesBeijing 100190China

Catalytic oxygen reduction reaction(ORR)and oxygen evolution reaction(OER)have garnered great attention as the key character in metal-air ***,we developed a superior nonprecious bifunctional oxygen electrocatalyst,fabricated through spatial confinement of Fe/Fe_(3)C nanocrystals in pyridinic N and Fe-Nx rich carbon nanotubes(Fe/Fe_(3)C-N-CNTs).During ORR,the resultant electrocatalyst exhibits positive onset pote ntial of 1.0 V(***),large half-wave potentials of 0.88 V(***),which is more positive than Pt/C(0.98 V and 0.83 V,respectively).Remarkably,Fe/Fe_(3)C-N-CNTs exhibits outstanding durability and great methanol tolerance,exceeding Pt/C and most reported nonprecious metal-based oxygen reduction ***,Fe/Fe_(3)C-N-CNTs show a markedly low potential at j=10 mA/cm^(2),small Tafel slopes and extremely high stability for ***,the Fe/Fe_(3)C-N-CNTs-based Zn-air batteries demonstrate high power density of 183 mW/cm^(2)and robust charge/discharge *** is revealed that the spatial confinement effect can impede the aggregation and corrosion of Fe/Fe_(3)C ***,Fe/Fe_(3)C and Fe-Nx play synergistic effect on boosting the ORR/OER activity,which provides an important guideline for construction of inexpensive nonprecious metal-carbon hybrid nanomaterials.

关键词： Patial confinement Nonprecious metal Bifunctional Oxygen electrocatalyst Synergistic effect Zn-air batterie

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Factors Affecting the Affinity of Boronic Acid Derivatives to Linear Polyols: The Substituents of Boronic Acid Derivatives and Relative Position of Dihydroxyl Group In Polyols

SSRN

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SSRN 2023年

作者： Meng, Qiyu Wang, Yupei Xing, Huifang Rong, Meng Yang, Liangrong Liu, Huizhou Chi, Ruan Chen, Congmei CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Biochemical Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China School of Chemical Engineering University of Chinese Academy of Sciences Beijing100049 China China National Traditional Chinese Medicine Co. Ltd Beijing100097 China Wuhan Institute of Technology China Shenzhen Cloud Computing Center National Supercomputing Center in Shenzhen Shenzhen518055 China

The separation of 1,2,4-butanetriol (BT) through phenylboronate anion reactive extraction in fermentation broth has been proposed based on the process where the boronic acid groups specifically recognize the cis-dihydroxyl groups. To fully elucidate the affinity process of boronic acid group and polyols, here we have investigated the binding constant (Ka) and thermodynamic data of four phenylboronic acid derivates (PBADs) and four structurally similar linear polyols (BT, 1,2-butanediol (1,2-BD), 1,3-butanediol (1,3-BD), and 1,4-butanediol (1,4-BD)) through fluorescence spectroscopy, isothermal titration calorimetry (ITC), and computational chemistry. It can be concluded that the substituent group of boronic acid, the numbers and relative positions of the hydroxyl group in polyols affected the affinity of the boronic acid group to it. The ionized boronic acid group preferentially reacts with the 1,2-dihydroxy group to form a pentacyclic phenylboronate. Compared with other three butanediols, phenylboronic acid (PBA) has a larger binding constant and shows a smaller Gibbs free energy change with BT. © 2023, The Authors. All rights reserved.

关键词： Fluorescence spectroscopy

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Contributions of moisture sources to precipitation in the major drainage basins in the Tibetan Plateau

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Science China Earth Sciences 2022年第6期65卷 1088-1103页

作者： Ying LI Fengge SU Qiuhong TANG Hongkai GAO Denghua YAN Hui PENG Shangbin XIAO Engineering Research Center of Eco-environment in Three Gorges Reservoir Region Yichang 443002China College of Hydraulic and Environmental Engineering China Three Gorges UniversityYichang 443002China State Key Laboratory of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of Sciences(CAS)Beijing 100101China University of Chinese Academy of Sciences Beijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101China Key Laboratory of Water Cycle and Related Land Surface Process Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Geographic Information Science(Ministry of Education of China) East China Normal UniversityShanghai 200241China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin Water Resources DepartmentChina Institute of Water Resources and Hydropower ResearchBeijing 100038China

Tracking and quantifying the moisture sources of precipitation in different drainage basins in the Tibetan Plateau(TP)help to reveal basin-scale hydrological cycle characteristics under the interactions between the westerlies and Indian summer monsoon(ISM) systems and to improve our understanding on the mechanisms of water resource changes in the ‘Asian Water Tower' under climate changes. Based on a Eulerian moisture tracking model(WAM-2) and three atmospheric reanalysis products(ERA-I, MERRA-2, and JRA-55), the contributions of moisture sources to the precipitation in six major sub-basins in the TP were tracked during an approximately 35-year period(1979/1980–2015). The results showed that in the upper Indus(UI),upper Tarim River(UT), and Qaidam Basin(QB), the moisture sources mainly extended westward along the mid-latitude westerlies to the western part of the Eurasian continent. In contrast, in the Yarlung Zangbo River Basin(YB), inner TP(ITP), and the source area of three eastern rivers(TER, including the Nujiang River, Lancang River, and Yangtze River), the moisture sources extended both westward and southward, but mainly southward along the ISM. In winter and spring, all of the sub-basins were dominated by western moisture sources. In summer, the western sources migrated northward with the zonal movement of the westerlies, and simultaneously the southern sources of the YB, ITP, and TER expanded largely toward the Indian Ocean along the ISM. In autumn, the moisture sources of the UI, UT, and QB shrank to the western sources, and the moisture sources of the YB, ITP, and TER shrank to the central-southern TP and the Indian subcontinent. By quantifying the moisture contributions from multiple sources, we found that the terrestrial moisture dominated in all of the sub-basins, particularly in the UT and QB(62–73%). The oceanic contributions were relatively high in the UI(38–42%) and YB(38–41%). In winter, evaporation from the large western water bodies(such as the M

关键词： Tibetan Plateau Precipitation Moisture sources Westerlies Indian summer monsoon Local recycling

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Design of solvent mixtures for removal of phenol from wastewater using a non-linear programming model with a multi-start method

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Emerging Contaminants 2022年第1期8卷 39-45页

作者： Qingjie Wang Yanchun Shi Yuehong Zhao Pengge Ning Institute of Process Engineering Chinese Academy of ScienceBeijing100190China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental SciencesChinese Academy of SciencesNo.18Shuangqing RoadBeijing100085China

The optimization-based design of solvent mixtures used for phenolic wastewater treatment was investigated in this work.A nonlinear programming(NLP)model was formulated based on the concepts of computer-aid molecule design(Computer-Aided Molecular Design,CAMD)to select solvent mixtures with the best extraction performance considering the constraints of extraction process and the environmental *** to the complexity of the NLP model,multi-start method was adopted to solve this problem in order to get near global optimal *** results of the calculations suggested that the optimal mixture consisted of 70.1%n-octanol and 29.9%2-octanone(molar fraction).The 119 sets of experimental results showed that the extraction ability of the optimal solvent mixture identified by CAMD technique was among the top 6 sets compared to the experiment *** results suggested that the developed NLP model could be able to screen the optimal solvent mixture in phenolic wastewater treatment.

关键词： Solvent mixtures Phenolic wastewater Computer-aided molecule design Extraction

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Silver modified Cu/SiO2 catalyst for the hydrogenation of methyl acetate to ethanol

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Chinese Journal of Chemical engineering 2020年第6期28卷 1612-1622页

作者： Zhiheng Ren Muhammad Naeem Younis Hui Zhao Chunshan Li Xiangui Yang Erqiang Wang Gongying Wang Chengdu Institute of Organic Chemistry Chinese Academy of SciencesChengdu 610041China National Engineering Laboratory for VOCs Pollution Control Material&Technology University of Chinese Academy of SciencesBeijing 101408China CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Multiphase Complex SystemsThe National Key Laboratory of Clean and Efficient Coking TechnologyBeijing Key Laboratory of Ionic Liquids Clean ProcessInstitute of Process EngineeringChinese Academy of SciencesBeijing 100190China Zhongke Langfang Institute of Process Engineering Langfang 065000China Zhongke Langfang Institute of Process Engineering Zhengzhou 450000China School of Chemical Science University of Chinese Academy of SciencesBeijing 100049China

A series of silver modified Cu/SiO2 catalysts were synthesized with ammonia-evaporation method and applied in vapor-phase hydrogenation of methyl acetate to *** influence of additive‘Ag’on the structural evolution of catalyst was systematically studied by several characterization techniques,such as N2 adsorption–desorption,N2O titration,PXRD,FTIR,in-situ FTIR,H2-TPR,H2-TPD,XPS and *** showed that incorporation of a small amount of Ag could enhance the structural stability,and the strong interaction between Cu and Ag species was conducive to increase the dispersion of copper species and create a suitable Cu+/(Cu0+Cu+)ratio,which was proposed to be responsible for the improved catalytic *** maximum conversion of MA(94.1%)and selectivity of ethanol(91.3%)over optimized Cu-0.5 Ag/SiO2 and 120 h on stream without deactivation under optimal conditions demonstrates its excellent stability.

关键词： Copper Silver Hydrogenation Methyl acetate Ethanol Kinetic

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