Industrial & Engineering Chemistry Research最新文献

{"title":"Healable, Glassy Azobenzene Polymers at Room Temperature Based on Photoinduced Reversible Solid-to-Liquid Transitions","authors":"Anqian Yuan, Yinghao Zhang, Jian Ding, Weihua Qiu, Liang Jiang, Jingxin Lei, Xiaowei Fu, Yuan Lei","doi":"10.1021/acs.iecr.5c00541","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00541","url":null,"abstract":"Designing healable, glassy polymers at room temperature remains a significant challenge due to the higher glass transition temperature (<i>T</i>_g) of glassy polymers than room temperature restricting the molecular or segmental mobility at room temperature. Glassy polymers present low healing efficiency although enabling self-healing through secondary transition of small-sized structural units in molecular chains. Herein, the healable, glassy azobenzene polymers (P<i>n</i>C-AZO) with the tunable methylene-based spacer lengths (<i>n</i> = 0, 3, 6, 9, 12) and the designed number-average molecular weight (<i>M</i>_n &lt; 10 kDa) were synthesized and developed by free radical polymerization of azobenzene monomers. The P<i>n</i>C-AZO (<i>n</i> = 6, 9, 12) with <i>trans</i>-azobenzene structures shows the characteristic transition temperature (<i>T</i>_trans) in rheology and crystallization melting temperature (<i>T</i>_m) at ∼50 °C much higher than room temperature and yet presents efficient healing ability at room temperature by alternating ultraviolet light and green light irradiation, resulting from the photoinduced reversible solid-to-liquid transitions along with reversible isomerization between thermodynamically stable <i>trans</i>-configuration and metastable <i>cis</i>-configuration of azobenzene units in P<i>n</i>C-AZO. This will provide an alternative toward healable, glassy polymers at room temperature for future sustainable material design.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"32 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143872316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mastering Material Insights: Advanced Characterization Techniques","authors":"Rutu Patel, Mayankkumar L. Chaudhary, Alessandro F. Martins, Ram K. Gupta","doi":"10.1021/acs.iecr.5c00447","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00447","url":null,"abstract":"The function of advanced characterization methods in materials science is discussed in this review article, which primarily focuses on how these methods are used in structural composites, energy storage materials, and semiconductors. Discovering the intricate chemical and structural features of these materials has been greatly aided by the combination of methods like scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). Understanding materials’ thermal stability and behavior under operating settings is essential for maximizing performance. Technology such as thermogravimetric analysis (TGA) and differential scanning calorimetry (DSC) have further contributed to this understanding. A key area where in situ and operando characterization techniques are becoming increasingly important is the study of energy storage devices. Researchers can gain invaluable insights into degradation mechanisms and failure points by monitoring real-time material changes under working conditions. The interaction of a material’s thermal, chemical, and structural characteristics can be better understood when spectroscopy and microscopy are used together. This study focuses on a significant material characterization trend involving combining high-throughput screening with machine learning (ML) and artificial intelligence (AI). AI can shorten the time it takes from ideation to implementation by improving the accuracy and speed of material discovery using massive data sets produced by sophisticated methods. Researchers can better anticipate material behavior using this data-driven method, particularly in operational or severe situations that are hard to replicate experimentally. Researchers in the field of materials science have concluded that improving characterization methods is crucial to the field’s future progress. Critical will be multidimensional and hybrid approaches that integrate several types of analysis. In addition, studying and forecasting the behavior of next-gen materials, especially those used in energy storage, semiconductor technology, and nanocomposites, will rely heavily on AI-driven research. New opportunities for creating sustainable, high-functioning materials will arise because of these advancements.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"14 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143872317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MoO2–Stabilized MoS2 Heterojunction Catalyst for Enhanced Lithium–Sulfur Battery","authors":"Jun Jiang, Yanwen Ding, Shugang Pan, Zhen Wu, Xin Wang, Junwu Zhu, Yongsheng Fu","doi":"10.1021/acs.iecr.5c00203","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00203","url":null,"abstract":"Heterojunction materials are characterized by high design adjustability, which accounts for their wide application in various catalytic fields. In this work, a MoO₂–MoS₂ heterojunction catalyst with MoO₂ serving as a stabilizer was fabricated via the semisulfidation treatment on the surface of carbon nanotube (CNT) and employed as the cathode host material for lithium–sulfur batteries (LSBs). The introduction of MoO₂ effectively mitigates the aggregation of MoS₂, enabling a rich distribution of active sites. Moreover, it can enhance the redox stability and bring about the antipolarization effect under high current densities, thereby fully unleashing the inherent high catalytic activity of MoS₂. This unique heterojunction host material not only accelerates the multistep transformation of lithium polysulfides (LiPSs) and reduces the nucleation energy barrier of Li₂S but also demonstrates outstanding stability along with high safety. The assembled Li–S batteries exhibit remarkable cycling stability, with an average decay rate of only 0.05% over 400 cycles at 1 C. Significantly, the pouch cells assembled with a high sulfur loading of 6.4 mg cm^–2 and a low E/S ratio of 4 μL mg^–1 achieve a high areal capacity of 8 mAh cm^–2, which implies broad practical prospects.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"108 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143862295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficiency and Mechanism of SF6 Degradation by Dielectric Barrier Discharge Coupled with the ZSM-5 Catalyst","authors":"Dinghao Deng, Jiaqi Li, Runze Dong, Wenhao Li, Qian Yu, Dong Fu","doi":"10.1021/acs.iecr.5c00292","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00292","url":null,"abstract":"The efficient degradation of sulfur hexafluoride (SF₆) is a challenging task due to its stable chemical structure. In this work, dielectric barrier discharge (DBD) technology was coupled with the ZSM-5 catalyst to degrade SF₆. The suitable particle size of ZSM-5 was selected by matching with the discharge performance of DBD. Based on this, the effects of input power, gas concentration, gas flow rate, catalyst particle size, and catalyst loading on the degradation efficiency of SF₆ were discussed. The experimental results showed that the concentration and flow rate of SF₆ were negatively correlated with its degradation rate (DRE) but positively correlated with the energy yield (EY). Under the conditions of an input power of 60 W, SF₆ flow rate of 100 mL/min, and catalyst usage of 4 g, the SF₆ of 1.5% concentration maintained 100% DRE for 75 min. Even when delayed to 95 min, the DRE was 98.05%, and the EY reached 9.707 g/kW h. The results showed that the synergistic effect of DBD and ZSM-5 provides a new way to degrade SF₆ under mild conditions with a high efficiency and low energy consumption. It can be expected that the satisfactory degradation efficiency, low discharge power, and low cost of ZSM-5 will endow this technical route with good application prospects.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"7 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143862296","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recurrent Neural Networks for Forecasting Time-Varying Process Behavior in Mammalian Cell Culture","authors":"Yen-An Lu, Yudai Fukae, Wei-Shou Hu, Qi Zhang","doi":"10.1021/acs.iecr.4c03986","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c03986","url":null,"abstract":"Cell culture processes are the workhorse for the production of therapeutic protein biologics. With advances in process data acquisition and monitoring, there has been an increasing interest in developing cell culture process models for control, optimization, and scale-up. However, the kinetic behavior of cell culture processes is highly complex. As culture time progresses, cell metabolism may shift, and at times, similar culture conditions may give rise to very different time-varying process behavior. Hence, modeling complex metabolic shifts in biomanufacturing processes remains a major challenge. In this work, we systematically evaluated the application of recurrent neural networks (RNNs) for forecasting the time profiles of key process parameters, including glucose and lactate concentrations, viable cell density, and viability, using a comprehensive set of fed-batch biomanufacturing data. We compared the RNNs’ performance with that of traditional machine learning models and feedforward neural networks, included total base addition in the model input to embed secondary process information, and extended the RNN model to an encoder–decoder model that leverages the history of seed train profiles to enhance the prediction of process behavior at the production scale. Overall, the computational results highlight the potential of RNN-based models for predicting key process parameters in cell culture and demonstrate the impact of process history on cell culture performance in biologics biomanufacturing.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"48 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential of Sector-Coupled Decarbonization between Cement Plants and Waste-to-Energy Plants","authors":"Tuvshinjargal Otgonbayar, Ayoung Song, Viola Becattini, Marco Mazzotti","doi":"10.1021/acs.iecr.4c04863","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04863","url":null,"abstract":"This work assesses the potential of sector coupling to address the challenges of CO₂ capture and storage (CCS) in the cement sector, whereby a cement plant receives excess heat from a nearby WtE plant to power the CCS process. Due to seasonal variations in the district heating demand, large amounts of heat are available at WtE plants for CCS. By sharing this excess heat with a cement plant that typically emits more CO₂, it was found that up to 60% more emissions reduction can be achieved compared to independent capture at each facility. In particular, sector coupling is favorable if the cement plant emissions are at least twice as much, a condition met by two-thirds of all cement-WtE plant pairs in Europe. Despite the many practical and regulatory challenges that come with sector coupling, the potential for significant CO₂ reductions and efficient resource utilization makes it a promising avenue for decarbonization.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"32 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143862294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress in Desalination Composite Membranes: Perspectives and Research Gaps","authors":"Roberto Castro-Muñoz, Emilia Gontarek-Castro, Aamer Ali, Seyed Ali Naziri Mehrabani, Vahid Vatanpour","doi":"10.1021/acs.iecr.4c04512","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04512","url":null,"abstract":"The research community seeks new techniques and strategies for producing fresh water to overcome the scarcity of drinking water, in which the first alternative deals with removing salt ions and other trace compounds from brackish water and seawater due to its large availability. Membrane technologies, such as nanofiltration, reverse osmosis, membrane distillation, and pervaporation, are likely to be potential tools for selectively removing salt ions from seawater. Today, researchers are working to manufacture more selective, scalable, and productive desalination membranes. Therefore, this review reveals the most recent composite membranes applied in different membrane processes and their outcomes in seawater desalination over the last 5 years (from 2020 until now). Apart from reporting the most relevant membrane concepts, the mechanisms of transport and separation are reviewed in association with the unprecedented membrane separation properties. Finally, the current challenges and future directions are briefly provided for the development of next-generation composite desalination membranes.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"91 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced Ammonia Synthesis Performance over Ru-Based Catalysts via the Addition of Ce Promoter","authors":"Tianhua Zhang, Kexin Yue, Jiangyang Mo, Mingyuan Zhang, Jie Zhu, Ruting Lin, Shiyong Zhang, Ruishao Mao, Yanliang Zhou, Jun Ni, Jianxin Lin, Xiuyun Wang, Lilong Jiang","doi":"10.1021/acs.iecr.4c04868","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04868","url":null,"abstract":"The development of advanced catalysts is critical to realize efficient ammonia (NH₃) synthesis under mild conditions. However, the activation of an inert N≡N bond in N₂ molecules is the primary hindrance to NH₃ synthesis, and hydrogen poisoning is another major and a serious problem, especially in Ru-based catalysts. Here, we develop an H-ZSM-5-supported Ru-based catalyst (Ce–Ru/HZ) via decorating with a CeO₂ promoter to realize efficient NH₃ synthesis. Our study shows that the Ce species can serve as an electron donor to enrich the electron density of Ru sites, thus accelerating N₂ activation for NH₃ synthesis. Meanwhile, the interaction of Ru and Ce can alleviate the effect of hydrogen poisoning on Ru sites. Consequently, the 16 wt % Ce-promoted Ru/HZ catalyst displays a superior NH₃ synthesis rate and long-term stability of more than 550 h at 400 °C and 1 MPa.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"6 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Boron/Nitrogen Codoped Porous Carbon: An Efficient Oxygen Reduction Electrocatalyst for H2O2 Production","authors":"Caixia Li, Lizhi Liu, Qing Xiong, Di Zhang, Jiaquan Zhang, Huiyong Wang, Juan Du, Baozhan Zheng, Yong Guo","doi":"10.1021/acs.iecr.5c00313","DOIUrl":"https://doi.org/10.1021/acs.iecr.5c00313","url":null,"abstract":"Electrochemical synthesis of H₂O₂ via a two-electron oxygen reduction reaction (2e^– ORR) has emerged as a potential alternative to the traditional anthraquinone method, but developing efficient electrocatalysts with good activity and selectivity is still a challenge. Herein, B/N codoped porous carbon (B/N-MC) was prepared by ZnO template-assisted method. The obtained B/N-MC exhibits excellent catalytic performance for 2e^– ORR. When tested in 0.1 M KOH, the B/N-MC has an outstanding Faradaic efficiency over 95% and a higher H₂O₂ yield rate of 5.5 mol h^–1g_cat^–1, which is 2.1 times higher than that of N-MC without B (2.6 mol h^–1g_cat^–1). DFT calculation results confirm that it is the N/B doping that leads to the electron redistribution of B/N-MC and enhances its adsorption to O₂, thus improving the 2e^– ORR performance of H₂O₂ generation. Furthermore, the on-site produced H₂O₂ on B/N-MC has been successfully used for disinfection and dye degradation, proving its potential for industrial applications. This work provides a new way to improve the performance of carbon-based catalysts by modulating their morphology and electronic structure.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"13 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bench-Scale Apparatus for Rapid, Simultaneous, Comprehensive Vapor–Liquid Equilibrium and Kinetic Property Measurements to Advance CO2 Capture Solvent Technology","authors":"Richard Zheng, Dushyant Barpaga, Abhishek Kumar, Andy Zwoster, Phillip K. Koech, Deepika Malhotra, David J. Heldebrant","doi":"10.1021/acs.iecr.4c04459","DOIUrl":"https://doi.org/10.1021/acs.iecr.4c04459","url":null,"abstract":"We present here, the design, fabrication, and testing of a new “pressure, volume, temperature (<i>PVT</i>)” apparatus that enables rapid standardized testing for viscosity, vapor–liquid equilibria, and kinetics for water-lean carbon capture solvents. This unit is the first of its kind where equilibrium data are collected during operation as a PTx (pressure–temperature–composition) cell while kinetic data are collected simultaneously with an internal mini wetted-wall contactor (WWC) using controlled adjustments of CO₂ injections to allow for measurements of gas flux (in and out of the liquid). Additionally, in situ measurements of viscosity data are also continuously collected while a solvent is in circulation during gas absorption. This cell empowers comprehensive testing of critical CO₂ capture solvent properties in a single measurement, ensuring all data are collected at the same temperature, pressure, and CO₂ loading. This apparatus also expedites screening of materials since less than 50 mL of sample is needed as compared to 2–3 L needed to get similar data from a conventional WWC. We describe here the methodology of data collected on this new <i>PVT</i> cell, nicknamed “Gary” in honor of Professor Gary Rochelle, for multiple water-lean amine solvents, which we compare to data collected from conventional instrumentation for amine testing.","PeriodicalId":39,"journal":{"name":"Industrial & Engineering Chemistry Research","volume":"26 1","pages":""},"PeriodicalIF":4.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143866351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}