AIChE JournalPub Date : 2024-12-17DOI: 10.1002/aic.18680
Sirui Ding, Jianfeng Wu, Zhen Huang, Sen Chang, Baoliang Zhang
{"title":"Exploration of BSA imprinting mechanism by fluorescence anchoring and host–guest interactions","authors":"Sirui Ding, Jianfeng Wu, Zhen Huang, Sen Chang, Baoliang Zhang","doi":"10.1002/aic.18680","DOIUrl":"https://doi.org/10.1002/aic.18680","url":null,"abstract":"For protein imprinting, template molecule anchoring and imprinting site recognition are very important processes. Herein, we have proposed for the first time to use photo-switchable host–guest interactions between α-cyclodextrin (α-CD)-modified bovine serum albumin (BSA) and azobenzene coated organic covalent framework (COF) to immobilize and elute proteins. A novel surface labeled polymer microspheres (COF-MIPs) were constructed, which could reduce the mass transfer resistance and accelerate the adsorption process, resulting in the adsorption equilibrium reaching 60 min and the saturated adsorption amount of 563.86 mg/g. Additionally, using guest molecules (azobenzene) to label the imprinted sites allows the correlation of the relationship between the fluorescence intensity and the protein adsorption process. The fluorescence analyses show that the material exhibits excellent adsorption specificity, with imprinting factors greater than 4. This work extended the application of the host–guest interaction between cyclodextrin and azobenzene and provides a new approach for developing protein-imprinting materials.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"256 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841854","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}
AIChE JournalPub Date : 2024-12-16DOI: 10.1002/aic.18668
Shunkai Xia, Xude Yu, Zhuo Chen, Jianhong Xu
{"title":"Continuous preparation of alkaline hydrogen peroxide solution by micromixing device: Experiment and theoretical analysis","authors":"Shunkai Xia, Xude Yu, Zhuo Chen, Jianhong Xu","doi":"10.1002/aic.18668","DOIUrl":"https://doi.org/10.1002/aic.18668","url":null,"abstract":"In the context of achieving continuous synthesis of acyl peroxides using microreactors, continuous preparation of alkaline hydrogen peroxide (AHP) solution is required. However, two key issues, Na<sub>2</sub>O<sub>2</sub> precipitation and H<sub>2</sub>O<sub>2</sub> decomposition, need to be considered or addressed. For the precipitation of Na<sub>2</sub>O<sub>2</sub> during NaOH and H<sub>2</sub>O<sub>2</sub> mixing, experiments revealed that precipitation could be avoided by appropriate selection of operation window. For the risk of violent H<sub>2</sub>O<sub>2</sub> decomposition when NaOH and H<sub>2</sub>O<sub>2</sub> solutions are one-step mixed, theoretical approaches were adopted. Simulation-derived mixing time is combined with decomposition kinetics to find a direct relationship between operation-structure parameters and percentage of decomposed H<sub>2</sub>O<sub>2</sub>. This percentage is estimated to be in the order of 10<sup>−4</sup> for micromixing devices, which indicates that micromixing devices can be used to one-step mix NaOH and H<sub>2</sub>O<sub>2</sub> solution without causing violent H<sub>2</sub>O<sub>2</sub> decomposition. This work provides insights into the preparation of AHP solution and facilitates its continuous preparation.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"30 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825603","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":"General descriptors for glycerol oxidation to glyceric acid over PtM3‐derived bimetallic catalysts in base‐free medium","authors":"Hao Yan, Jiarong Lu, Yaqian Li, Xiang Feng, Xin Zhou, Hui Zhao, Chaohe Yang","doi":"10.1002/aic.18683","DOIUrl":"https://doi.org/10.1002/aic.18683","url":null,"abstract":"Exploring efficient Pt‐based catalysts for the selective oxidation of polyol is still a challenge due to the lack of a mechanism‐driven approach. Here, low‐Pt content PdM<jats:sub>3</jats:sub> were systematically investigated for glycerol oxidation to glyceric acid (GLYA) by density functional theory (DFT) linear synchronous transit and quadratic synchronous transit (LST/QST) assisted descriptor‐based micro‐kinetic modeling. Results revealed that the PdM<jats:sub>3</jats:sub> surface induces the dissociation of O<jats:sub>2</jats:sub> and H<jats:sub>2</jats:sub>O to form a polarized PdM<jats:sub>3</jats:sub>‐OH* surface, participating in the subsequent adsorption and activation of glycerol and oxygen‐containing intermediates. Moreover, the binding energy of O and H on the PdM<jats:sub>3</jats:sub> could be labeled as descriptors describing catalytic selectivity and activity. On this basis, a strong electron reconstruction effect described by <jats:italic>E</jats:italic><jats:sub>O</jats:sub> (−4.5 to −3.0 eV) and appropriate dehydrogenation ability described by <jats:italic>E</jats:italic><jats:sub>H</jats:sub> (−3.5 to −2.5 eV) contribute to the improvement of catalytic performance for the selective oxidation of glycerol to GLYA. This study may give insights into the rational design of high‐efficient Pt‐based catalysts for polyol oxidation.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"3 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825183","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":"Enhancing H2 production from plasma-assisted methanol steam reforming by catalyst engineering in a MXene membrane reactor","authors":"Shaowei Chen, Zong Lu, Jiangqi Niu, Yan Shao, Yi Chen, Yaru Ni, Xiaoying Liu, Xiaoyang Wei, Xiaoxia Ou, Xiaolei Fan, Yanying Wei, Huanhao Chen","doi":"10.1002/aic.18685","DOIUrl":"https://doi.org/10.1002/aic.18685","url":null,"abstract":"Electrified methanol steam reforming (MSR) assisted by nonthermal plasma (NTP) is a pivotal enabler for clean hydrogen production at ambient conditions with several advantages. This study optimizes the NTP-assisted MSR by catalyst engineering, as well as membrane technology (via a 2D MXene nanosheet membrane reactor). Our findings reveal that active-phase engineering in catalyst design is crucial in regulating MSR pathways under NTP conditions with the bimetallic Ni–Cu alloys enhancing the H<sub>2</sub> production via surface water–gas shift reaction (WGSR). Additionally, integrating a MXene membrane within a dielectric barrier discharge (DBD) NTP reactor enabled the reactive-separation process, improving methanol conversion, H<sub>2</sub> formation rate with higher purity, as well as showing a good stability.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"06 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820956","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":"Synergistic photocatalytic synthesis of H2O2: Mechanistic insights and sustainable applications","authors":"Zaixiang Xu, Wenjuan Fang, Fengcang Zhou, Chenghang Jiang, Jingnan Zheng, Yanfeng Li, Shijie Zhang, Zhikang Bao, Qun Cao, Jianguo Wang","doi":"10.1002/aic.18692","DOIUrl":"https://doi.org/10.1002/aic.18692","url":null,"abstract":"The synthesis of hydrogen peroxide (H₂O₂) via photocatalysis represents a sustainable and environmentally friendly approach with significant potential for diverse applications. This study reveals the involvement of a novel triple interplay catalytic cycle in the photocatalytic production of H₂O₂, providing crucial insights into the underlying reaction mechanisms. Utilizing modified carbon nitride (m-CN) as the catalyst, we achieved H₂O₂ concentrations of 3368 mmol L<sup>−1</sup> (11.5 wt.%) and a production rate of 4900 mM g cat<sup>−1</sup> h<sup>−1</sup>, demonstrating significant improvements over existing methods. Stability tests and spectroscopic analyses confirmed the robustness of the system over 100 h. Mechanistic studies, including EPR spectroscopy and kinetic analysis, further elucidated the reaction pathways, enhancing our understanding of H₂O₂ synthesis. This research offers a foundation for designing next-generation photocatalytic systems with improved efficiency and selectivity, contributing to the advancement of sustainable H₂O₂ production for cooperative organic synthesis.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"21 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820955","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":"Screening of pure silica zeolites with high ethane/ethylene separation selectivity by simulations and experiments","authors":"Peixin Zhang, Jianbo Hu, Dengzhuo Zhou, Xiaofei Lu, Lifeng Yang, Liyuan Chen, Xian Suo, Xili Cui, Huabin Xing","doi":"10.1002/aic.18676","DOIUrl":"https://doi.org/10.1002/aic.18676","url":null,"abstract":"The advancement of ethane (C<sub>2</sub>H<sub>6</sub>)-selective materials offers the potential for developing energy-efficient adsorptive separation processes to obtain high-purity ethylene (C<sub>2</sub>H<sub>4</sub>) directly. However, these materials still suffer challenges of low selectivity, high cost, and poor stability. Herein, we presented a commercially scalable and stable MFI topology zeolite material (TS-1) with excellent ideal adsorption solution theory (IAST) selectivity (2.07) and separation potential (0.64 mmol g<sup>−1</sup>). Polymer-grade ethylene (99.9%) could be afforded with the productivity of 11.5 L kg<sup>−1</sup> through the adsorption column packed with TS-1 material. Additionally, pure silica zeolite with DOH topology with excellent IAST selectivity (2.93) and separation potential (1.64 mmol g<sup>−1</sup>) was discovered by high-throughput screening via the combination of experiments and simulations. These findings highlight that pure silica zeolites hold promise as C<sub>2</sub>H<sub>6</sub>-selective adsorbents for large-scale implementation for one-step C<sub>2</sub>H<sub>4</sub> purification.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"233 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816389","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":"Stabilizing *OH intermediate by fabricating Ni3N-MoN for scalable 5-hydroxymethylfurfural electrooxidation","authors":"Shaowei Yang, Ying Guo, Jie Yang, Runze Gao, Zhibei Liao, Haidong Shen, Haoxi Wang, Lifeng Jiang, Buxing Han, Qiuyu Zhang, Hepeng Zhang","doi":"10.1002/aic.18690","DOIUrl":"https://doi.org/10.1002/aic.18690","url":null,"abstract":"Achieving large-scale coupling of organic electrooxidation and the hydrogen evolution reaction, while understanding the competition between organic electrooxidation and oxygen evolution reaction (OER), is a significant challenge. In this study, using Ni<sub>3</sub>N-MoN/NF, an efficient heterojunction electrocatalyst as both anode and cathode in a 50 cm<sup>2</sup> continuous flow reactor, we achieved a total current of ~20 A at 2.6 V. This resulted in the highest single-pass 5-hydroxymethylfurfural conversion efficiency (0.049 mmol cm<sup>−2</sup> min<sup>−1</sup>) and gram-level production of 2,5-furandicarboxylic acid. Theoretical studies revealed that MoN accelerated *OH formation and increased its deprotonation energy barrier, leading to *OH accumulation, effectively promoting organic electrooxidation and inhibiting OER. We anticipate that our foundation in understanding the reaction mechanism and catalyst design strategy can be extended to a wider range of anodic oxidation reactions.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"41 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816390","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}
AIChE JournalPub Date : 2024-12-13DOI: 10.1002/aic.18684
Tamara Janković, Adrie J. J. Straathof, Anton A. Kiss
{"title":"Advanced downstream processing for sustainable ethyl acetate production by fermentation","authors":"Tamara Janković, Adrie J. J. Straathof, Anton A. Kiss","doi":"10.1002/aic.18684","DOIUrl":"https://doi.org/10.1002/aic.18684","url":null,"abstract":"Ethyl acetate is a platform chemical conventionally obtained through fossil fuel routes, but more recently its production by fermentation from carbohydrates has been scaled up to a pilot scale. Yet, the complexity of downstream processing (low product concentrations in liquid broth and in off-gas, azeotrope formation, and the presence of microorganisms) may complicate industrial application. This original theoretical study is the first to develop advanced downstream processing, based on process intensification principles, for large-scale recovery (~10 kton/year) of ethyl acetate after fermentation. To minimize product losses, ethyl acetate is separated from both the liquid broth and off-gas. The final purification is performed in a highly integrated azeotropic dividing-wall column. The economic and sustainability analysis shows that using refrigeration for initial product separation from the gas phase is more cost-effective (~0.61 $/kg) and less energy-intensive (2.20–2.40 kW<sub>th</sub>h/kg) than compression combined with high-pressure condensation using chilled water (1.09 $/kg and 9.98 kW<sub>th</sub>h/kg).","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"35 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142816391","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":"Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning","authors":"Xuewen Zhang, Kaixiang Zhang, Zhaojian Li, Xunyuan Yin","doi":"10.1002/aic.18644","DOIUrl":"https://doi.org/10.1002/aic.18644","url":null,"abstract":"Data-enabled predictive control (DeePC) is a data-driven control algorithm that utilizes data matrices to form a non-parametric representation of the underlying system, predicting future behaviors and generating optimal control actions. DeePC typically requires solving an online optimization problem, the complexity of which is heavily influenced by the amount of data used, potentially leading to expensive online computation. In this article, we leverage deep learning to propose a highly computationally efficient DeePC approach for general nonlinear processes, referred to as Deep DeePC. Specifically, a deep neural network is employed to learn the DeePC vector operator, which is an essential component of the non-parametric representation of DeePC. This neural network is trained offline using historical open-loop input and output data of the nonlinear process. With the trained neural network, the Deep DeePC framework is formed for online control implementation. At each sampling instant, this neural network directly outputs the DeePC operator, eliminating the need for online optimization as conventional DeePC. The optimal control action is obtained based on the DeePC operator updated by the trained neural network. To address constrained scenarios, a constraint handling scheme is further proposed and integrated with the Deep DeePC to handle hard constraints during online implementation. The efficacy and superiority of the proposed Deep DeePC approach are demonstrated using two benchmark process examples.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"25 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804924","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":"Designing and screening single-atom alloy catalysts for CO2 reduction to CH3OH via DFT and machine learning","authors":"Wenyu Zhou, Haisong Feng, Shihong Zhou, Mengxin Wang, Yuping Chen, Chenyang Lu, Hao Yuan, Jing Yang, Qun Li, Luxi Tan, Lichun Dong, Yong-Wei Zhang","doi":"10.1002/aic.18678","DOIUrl":"https://doi.org/10.1002/aic.18678","url":null,"abstract":"Carbon dioxide (CO<sub>2</sub>) utilization technology is of great significance for achieving carbon neutrality, in which the catalytic materials play crucial roles, and among them, single-atom alloys (SAAs) are of particular interests. In this study, density functional theory (DFT) calculations and machine learning are employed to assess the effectiveness of Cu-, Ag-, and Ni-host SAAs as catalysts for electrochemical CO<sub>2</sub> reduction to CH<sub>3</sub>OH. The Gibbs free energies of 477 elementary reactions across 35 SAAs involved in CO<sub>2</sub> reduction are calculated, and by utilizing this dataset, a trained gradient boosting regression model is established with an excellent accuracy. Subsequently, the properties of 46 unknown SAAs are predicted, including their pathways, products, potential-determining steps (PDS), and corresponding Gibbs free energies of the PDS (<i>G</i><sub>PDS</sub>). Three promising candidates, ZnCu, AuAg and MoNi, stand out due to their lowest <i>G</i><sub>PDS</sub> among Cu-, Ag- and Ni- hosted SAAs, respectively.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"15 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142797388","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}