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Correction: Fractionation of lignocellulosic biomass using the OrganoCat process

Green Chemistry 2015年第8期17卷 4499-4499页

作者： Philipp M. Grande Jörn Viell Nils Theyssen Wolfgang Marquardt Pablo Domínguez de María Walter Leitner Institut für Technische und Makromolekulare Chemie (ITMC) RWTH Aachen University Worringer Weg 1 52074 Aachen Germany Bioeconomy Science Center (BioSC) c/o Forschungszentrum Jülich 52425 Jülich Germany Aachener Verfahrenstechnik – Process Systems Engineering RWTH Aachen University Turmstr. 46 52064 Aachen Germany Max-Planck-Institut für Kohlenforschung 45470 Mülheim an der Ruhr Germany Sustainable Momentum SL Ap. Correos 3517 35004 Las Palmas de Gran Canaria Canary Islands Spain

Correction for ‘Fractionation of lignocellulosic biomass using the OrganoCat process’ by Philipp M. Grande et al., Green Chem., 2015, 17, 3533–3539.

Correction for ‘Fractionation of lignocellulosic biomass using the OrganoCat process’ by Philipp M. Grande et al., Green Chem., 2015, 17, 3533–3539.

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Surface Activation by Single Ru Atoms for Enhanced High-Temperature CO2Electrolysis

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Angewandte Chemie 2023年第5期136卷

作者： Dr. Yuefeng Song Junyong Min Yige Guo Rongtan Li Geng Zou Prof. Dr. Mingrun Li Dr. Yipeng Zang Weicheng Feng Dr. Xiaoqian Yao Dr. Tianfu Liu Dr. Xiaomin Zhang Jingcheng Yu Qingxue Liu Dr. Peng Zhang Prof. Dr. Runsheng Yu Prof. Dr. Xingzhong Cao Prof. Dr. Junfa Zhu Prof. Dr. Kun Dong Prof. Dr. Guoxiong Wang Prof. Dr. Xinhe Bao State Key Laboratory of Catalysis Dalian National Laboratory for Clean Energy iChEM (Collaborative Innovation Center of Chemistry for Energy Materials) Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian 116023 China University of Chinese Academy of Sciences Beijing 100039 China State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 China Multi-disciplinary Research Division Institute of High Energy Physics Chinese Academy of Sciences Beijing 100049 China National Synchrotron Radiation Laboratory University of Science and Technology of China Hefei 230029 China

Cathodic CO 2 adsorption and activation is essential for high-temperature CO 2 electrolysis in solid oxide electrolysis cells (SOECs). However, the component of oxygen ionic conductor in the cathode displays limited electrocatalytic activity. Herein, stable single Ruthenium (Ru) atoms are anchored on the surface of oxygen ionic conductor (Ce 0.8 Sm 0.2 O 2-δ , SDC) via the strong covalent metal-support interaction, which evidently modifies the electronic structure of SDC surface for favorable oxygen vacancy formation and enhanced CO 2 adsorption and activation, finally evoking the electrocatalytic activity of SDC for high-temperature CO 2 electrolysis. Experimentally, SOEC with the Ru 1 /SDC-La 0.6 Sr 0.4 Co 0.2 Fe 0.8 O 3-δ cathode exhibits a current density as high as 2.39 A cm −2 at 1.6 V and 800 °C. This work expands the application of single atom catalyst to the high-temperature electrocatalytic reaction in SOEC and provides an efficient strategy to tailor the electronic structure and electrocatalytic activity of SOEC cathode at the atomic scale.

关键词： CO2 Electroreduction Electronic Structure Oxygen Vacancy Single Atom Catalyst Solid Oxide Electrolysis Cell

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The forefront of chemical engineering research

Nature Chemical Engineering

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Nature Chemical engineering 2024年第1期1卷 18-27页

作者： Laura Torrente-Murciano Jennifer B. Dunn Panagiotis D. Christofides Jay D. Keasling Sharon C. Glotzer Sang Yup Lee Kevin M. Van Geem Jean Tom Gaohong He Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK Chemical and Biological Engineering Center for Engineering Sustainability and Resilience Northwestern University Evanston IL USA Department of Chemical and Biomolecular Engineering University of California Los Angeles Los Angeles CA USA Department of Chemical & Biomolecular Engineering University of California Berkeley Berkeley CA USA Department of Bioengineering University of California Berkeley Berkeley CA USA California Institute of Quantitative Biosciences (QB3) University of California Berkeley Berkeley CA USA Division of Biological Systems and Engineering Lawrence Berkeley National Laboratory Berkeley CA USA Joint BioEnergy Institute Emeryville CA USA Center for Biosustainability Danish Technical University Lyngby Denmark Center for Synthetic Biochemistry Shenzhen Institutes for Advanced Technologies Shenzhen China Department of Chemical Engineering University of Michigan Ann Arbor MI USA Metabolic and Biomolecular Engineering National Research Laboratory Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory Department of Chemical and Biomolecular Engineering (BK21 four) BioProcess Engineering Research Center Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Laboratory for Chemical Technology Department of Materials Textiles and Chemical Engineering Faculty of Engineering and Architecture Ghent University Ghent Belgium Chemical Process Development Global Product Development and Supply Bristol Myers Squibb New Brunswick NJ USA State Key Laboratory of Fine Chemicals R&D Center of Membrane Science and Technology School of Chemical Engineering Panjin Institute of Industrial Technology Liaoning Key Laboratory of Chemical Additive Synthesis and Separation Dalian University of Technology Dalian Liaoning China

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Phosphine-Triggered Structural Defects in Au44Homologues Boost Electrocatalytic CO2Reduction

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Angewandte Chemie 2023年第33期135卷

作者： Dr. Shengli Zhuang Dr. Dong Chen Wai-Pan Ng Li-Juan Liu Meng-Ying Sun Dongyi Liu Tehseen Nawaz Qi Xia Xia Wu Dr. Yong-Liang Huang Prof. Dr. Seungkyu Lee Prof. Dr. Jun Yang Prof. Dr. Jian He Department of Chemistry The University of Hong Kong Pokfulam Road Hong Kong P. R. China State Key Laboratory of Synthetic Chemistry The University of Hong Kong Pokfulam Road Hong Kong P. R. China State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P. R. China Hong Kong Quantum AI Lab Limited Hong Kong P. R. China Department of Medicinal Chemistry Shantou University Medical College Shantou Guangdong 515041 P. R. China

The systematic induction of structural defects at the atomic level is crucial to metal nanocluster research because it endows cluster-based catalysts with highly reactive centers and allows for a comprehensive investigation of viable reaction pathways. Herein, by substituting neutral phosphine ligands for surface anionic thiolate ligands, we establish that one or two Au 3 triangular units can be successfully introduced into the double-stranded helical kernel of Au 44 (TBBT) 28 , where TBBT=4- tert -butylbenzenethiolate, resulting in the formation of two atomically precise defective Au 44 nanoclusters. Along with the regular face-centered-cubic (fcc) nanocluster, the first series of mixed-ligand cluster homologues is identified, with a unified formula of Au 44 (PPh 3 ) n (TBBT) 28−2 n ( n =0–2). The Au 44 (PPh 3 )(TBBT) 26 nanocluster having major structural defects at the bottom of the fcc lattice demonstrates superior electrocatalytic performance in the CO 2 reduction to CO. Density functional theory calculations indicate that the active site near the defects significantly lowers the free energy for the *COOH formation, the rate-determining step in the whole catalytic process.

关键词： Cluster Assembly Gold Nanoclusters Homologues Phosphine Ligands Structural Defects

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Hard‐Sphere Random Close‐Packed Au47Cd2(TBBT)31Nanoclusters with a Faradaic Efficiency of Up to 96 % for Electrocatalytic CO2Reduction to CO

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Angewandte Chemie 2019年第8期132卷

作者： Shengli Zhuang Dong Chen Lingwen Liao Yan Zhao Nan Xia Wenhao Zhang Chengming Wang Jun Yang Zhikun Wu Key Laboratory of Materials Physics Anhui Key Laboratory of Nanomaterials and Nanotechnology CAS Center for Excellence in Nanoscience Institute of Solid State Physics Chinese Academy of Sciences Hefei 230031 P. R. China Institute of Physical Science and Information Technology Anhui University Hefei Anhui 230601 P. R. China State Key Laboratory of Multiphase Complex Systems Institute of Process Engineering Chinese Academy of Sciences Beijing 100190 P. R. China Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei Anhui 230026 P. R. China

Metal nanoclusters have recently attracted considerable attention, not only because of their special size range but also because of their well‐defined compositions and structures. However, subtly tailoring the compositions and structures of metal nanoclusters for potential applications remains challenging. Now, a two‐phase anti‐galvanic reduction (AGR) method is presented for precisely tailoring Au 44 (TBBT) 28 to produce Au 47 Cd 2 (TBBT) 31 nanoclusters with a hard‐sphere random close‐packed structure, exhibiting Faradaic efficiencies of up to 96 % at −0.57 V for the electrocatalytic reduction of CO 2 to CO.

关键词： Cadmium CO2-Reduktion Elektrokatalyse Gold-Nanocluster Antigalvanische Reduktion

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Wavelet method of hiding text information in audio signals

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Journal of Physics: Conference Series 2020年第3期1515卷

作者： N N Manuilova L E Khairullina G Z Khabibullina Ch B Minnegalieva S V Makletsov V V Bronskaya O S Kharitonova Department of Information Systems Kazan Federal University 35 Kremlyovskaya Street Kazan 420008 Russian Federation Department of Relativity Theory and Gravity Kazan Federal University 35 Kremlyovskaya Street Kazan 420008 Russian Federation Department of Theory of Functions and Approximations Kazan Federal University 35 Kremlyovskaya Street Kazan 420008 Russian Federation Department of Chemical Process Engineering Kazan National Research Technological University 68 Karl Marx Street Kazan 420015 Russian Federation Department of Chemical Technology of Petroleum and Gas Processing Kazan National Research Technological University 68 Karl Marx Street Kazan 420015 Russian Federation

In the last few years, in connection with the widespread use of media networks for transmitting multimedia information, it is important to build stegosystems on their basis. The least significant bits for embedding a message can turn out to be ineffective using traditional methods of modification and steganography methods, allowing to embed messages in areas that cannot be significantly distorted during processing by modern encoders, are especially important. One of the tools that allows this embedding is a discrete wavelet transform. Wavelet transform is a relatively new and powerful analysis and processing tool. The method of secret transmission of a text message by hiding in sound files and subsequent recovery without loss is considered in this article. The basic of method is a discrete wavelet transform on biorthogonal wavelets. A web application implementing this method has developed. The implementation language is Python.

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Industry Transformations for High Service Provisioning with Lower Energy and Material Demand: A Review of Models and Scenarios

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Environment and Resources 1000年第1期49卷 249-279页

作者： Dominik Wiedenhofer Jan Streeck Frauke Wiese Elena Verdolini Alessio Mastrucci Yiyi Ju Benigna Boza-Kiss Jihoon Min Jonathan Norman Hanspeter Wieland Nuno Bento María Fernanda Godoy León Leticia Magalar Andreas Mayer Simone Gingrich Ayami Hayashi Joni Jupesta Gamze Ünlü Leila Niamir Tao Cao Marianne Zanon-Zotin Barbara Plank Johan Vélez-Henao Eric Masanet Volker Krey Keigo Akimoto Arnulf Grubler Bas van Ruijven Stefan Pauliuk 1Institute of Social Ecology University of Natural Resources and Life Sciences Vienna Austria email: Dominik.Wiedenhofer@boku.ac.at 2Department for Sustainable Energy Transition Europa-Universität Flensburg Flensburg Germany 3Law Department University of Brescia Brescia Italy 4Euro-Mediterranean Center on Climate Change (CMCC Foundation) Lecce Italy 5RFF-CMCC European Institute on Economics and the Environment Milan Italy 6International Institute for Applied Systems Analysis Laxenburg Austria 7Waseda Institute for Advanced Study Tokyo Japan 8Institute for Future Initiatives University of Tokyo Tokyo Japan 9School of Earth and Environment University of Leeds Leeds United Kingdom 10University Institute of Lisbon (ISCTE) Lisbon Portugal 11Faculty of Bioscience Engineering Ghent University Ghent Belgium 12Centre for Energy and Environmental Economics (Cenergia) Energy Planning Program (PPE) COPPE Universidade Federal do Rio de Janeiro Rio de Janeiro Brazil 13Department of Geography University of Innsbruck Innsbruck Austria 14Research Institute of Innovative Technology for the Earth Kizugawa Japan 15Institute for the Advanced Study of Sustainability United Nations University Shibuya Japan 16Copernicus Institute of Sustainable Development Utrecht University Utrecht Netherlands 17Faculty of Environment and Natural Resources University of Freiburg Freiburg Germany 18Bren School of Environmental Science and Management University of California Santa Barbara California USA 19Department of Energy and Process Engineering Norwegian University of Science and Technology Trondheim Norway

Developing transformative pathways for industry's compliance with international climate targets requires model-based insights into how supply- and demand-side measures affect industry, material cycles, global supply chains, socioeconomic activities, and service provisioning that support societal well-being. We review the recent literature modeling the industrial system in low energy and material demand futures, which mitigates environmental impacts without relying on risky future negative emissions and technological fixes. We identify 77 innovative studies drawing on nine distinct industry modeling traditions. We critically assess system definitions and scopes, biophysical and thermodynamic consistency, granularity and heterogeneity, and operationalization of demand and service provisioning. We find that combined supply- and demand-side measures could reduce current economy-wide material use by 56%, energy use by 40% to 60%, and greenhouse gas emissions by 70% to net zero. We call for strengthened interdisciplinary collaborations between industry modeling traditions and demand-side research to produce more insightful scenarios, and we discuss challenges and recommendations for this emerging field.

关键词： climate change mitigation sustainable resource use integrated assessment modeling IAM ecological economics industrial ecology

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TRANSIM‐A GENERAL PURPOSE PROBLEM SOLVING TOOL

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Naval Engineers Journal 1973年第5期85卷 79-92页

作者： McMICHAEL, DAVID L. ORLEANS, BEATRICE S. Mr. David L. McMichael:is Senior Development Engineer on the Project TRANSIM Staff at the University of California at Los Angeles. He is widely experienced in the application of quantitative analytical methods in particular computer simulation to the solution of real-world problems. Prior to joining the UCLA Staff he was a commissioned officer in the U.S. Navy and was assigned to the Naval Ship Systems Command as a system analyst engaged in the introduction of quantitative analysis methods in the Navy management decision-making process. He has also been Senior Systems Analyst ASSET Inc. Industrial Engineer with the Surface Combustion Corp. and Speiser Engineering Inc. and a lecturer in Mathematics at North Virginia Community College. He received his MS degree in Operations Research at the U.S. Naval Postgraduate School having specialized in gaming and simulation and his BSME degree at Tri-State College Angola Indiana. Miss Beatrice S. Orleans:holds a BA degree in Mathematics and Statistics from Hunter College and a MS degree in Statistics from Columbia University-Graduate School of Business. She has also completed graduate courses at Columbia George Washington and American Universities. Prior to her present position she was employed by the International Statistical Bureau as an economic statistician the Educational Testing Service as a research assistant the Air Force Human Resources Research Laboratory as an aviation psychologist and Head of the Statistics Section and CNO Aviation Plans and Programs as a mathematical statistician. For the past 20 years she has been with the Bureau of Ships and now the Naval Ship System Command in what is known as the Statistical Engineering Branch of which she has been the Branch Head for the last 10 years. She also has worked in the areas of Statistical Quality Control and Design of Experiments and Reliability and in addition has taught a number of sessions of a course in Introduction to Statistical Inference for the Navy the Laboratories and the Army.

This paper describes TRANSIM simulation a a method for solving problems. There is a brief discussion of modeling and its importance. TRANSIM is compared with other general purpose simulators, special purpose simulation, and network analysis techniques such as PERT/CPM. Data requirements for TRANSIM applications are discussed, and a few examples of specific Navy applications are described in a general fashion. In conclusion, the paper details the latest TRANSIM development work in project analysis and output formats for project risk, resource allocation and scheduling. © 1973 American Society of Naval Engineers

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Anisotropic Protein Organofibers Encoded With Extraordinary Mechanical Behavior for Cellular Mechanobiology Applications

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Angewandte Chemie 2020年第48期132卷

作者： Chao Ma Bo Li Baiqi Shao Baiheng Wu Dong Chen Juanjuan Su Hongjie Zhang Kai Liu Department of Chemistry Tsinghua University Beijing 100084 China State Key Laboratory of Rare Earth Resource Utilization Changchun Institute of Applied Chemistry Chinese Academy of Sciences Changchun 130022 China School of Engineering and Applied Sciences & Department of Physics Harvard University 29 Oxford Street Cambridge MA 02138 USA Institute of Process Equipment College of Energy Engineering and State Key Laboratory of Fluid Power and Mechatronic Systems Zhejiang University Hangzhou 310027 China Genetics and Aging Research Unit McCance Center for Brain Health MassGeneral Institute for Neurodegenerative Disease Department of Neurology Massachusetts General Hospital and Harvard Medical School Charlestown MA USA Groningen Biomolecular Sciences and Biotechnology Institute and Zernike Institute for Advanced Materials University of Groningen Groningen The Netherlands

Hydrogels enable a variety of applications due to their dynamic networks, structural flexibility, and tailorable functionality. However, their mechanical performances are limited, specifically in the context of cellular mechanobiology. It is also difficult to fabricate robust gel networks with a long‐term durability. Thus, a new generation of soft materials showing outstanding mechanical behavior for mechanobiology applications is highly desirable. We combined synthetic biology and supramolecular assembly to prepare elastin‐like protein (ELP) organogel fibers with extraordinary mechanical properties. The mechanical performance and stability of the assembled anisotropic proteins are superior to other organo‐/hydrogel systems. Bone‐derived mesenchymal cells were introduced into the organofiber system for stem‐cell lineage differentiation. This approach demonstrates the feasibility of mechanically strong and anisotropic organonetworks for mechanobiology applications and holds great potential for tissue‐regeneration translations.

关键词： anisotropic assembly mechanobiology protein fibers synthetic biology

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Correction to: Production efficiency of the bacterial non-ribosomal peptide indigoidine relies on the respiratory metabolic state in S. cerevisiae

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Microbial cell factories 2019年第1期18卷 218页

作者： Maren Wehrs Jan-Philip Prahl Jadie Moon Yuchen Li Deepti Tanjore Jay D Keasling Todd Pray Aindrila Mukhopadhyay Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. Institut für Genetik Technische Universität Braunschweig Brunswick Germany. Joint BioEnergy Institute Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. Advanced Biofuels and Bioproducts Process Development Unit Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. Department of Plant and Microbial Biology University of California Berkeley CA 94720 USA. Department of Bioengineering University of California Berkeley CA 94720 USA. Department of Chemical and Biomolecular Engineering University of California Berkeley CA 94720 USA. The Novo Nordisk Foundation Center for Biosustainability Technical University of Denmark Kongens Lyngby Denmark. Synthetic Biochemistry Center Institute for Synthetic Biology Shenzhen Institutes for Advanced Technologies Shenzhen China. Biological Systems and Engineering Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. amukhopadhyay@lbl.gov. Joint BioEnergy Institute Lawrence Berkeley National Laboratory Emeryville CA 94608 USA. amukhopadhyay@lbl.gov. Environmental Genomics and Systems Biology Division Lawrence Berkeley National Laboratory Berkeley CA 94720 USA. amukhopadhyay@lbl.gov.

Following publication of the original article [1], the authors have noted that the standard curve in Additional file 1: Figure S7 is incorrect.

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