AIChE JournalPub Date : 2026-09-09DOI: 10.1002/aic.70638
Onyinyechukwu Ukagha, Daniel F. Shantz
{"title":"How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ ‐39","authors":"Onyinyechukwu Ukagha, Daniel F. Shantz","doi":"10.1002/aic.70638","DOIUrl":"https://doi.org/10.1002/aic.70638","url":null,"abstract":"Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties. The most commonly used OSDA 3,5‐methyl‐ <jats:italic>N,N</jats:italic> ‐methyl piperidinium hydroxide (PIPPY) forms SSZ‐39 in approximately 24 h per literature reports, whereas 3,5‐methyl‐ <jats:italic>N,N</jats:italic> ‐ethyl piperidinium hydroxide forms SSZ‐13 in under 24 h. More interestingly, 2,6‐methyl‐ <jats:italic>N,N</jats:italic> ‐ethyl piperidinium hydroxide also crystallizes SSZ‐39 at rates comparable to PIPPY, albeit with a higher Si/Al ratio, whereas 2,6‐methyl‐ <jats:italic>N,N</jats:italic> ‐methyl piperidinium hydroxide forms SSZ‐39 but takes three to four days to complete crystallization. Experiments with mixtures of the two 2,6‐derivatives along with experiments with seed crystals strongly suggest that the methylated 2,6‐derivative is much less efficient in nucleating SSZ‐39. Interestingly, the two OSDAs that rapidly form SSZ‐39 are comparable in size whereas the methylated 2,6‐derivative is slightly smaller.","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"11 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2026-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148915404","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":"NiCo alloy–acid interfacial synergism for efficient lignin depolymerization with high selectivity to aromatic chemicals","authors":"Hui Zou, Yugu Chen, Yi Qi, Jiayao Xu, Bowen Liu, Zhenqiang Zhang, Xueqing Qiu, Yanlin Qin","doi":"10.1002/aic.70547","DOIUrl":"10.1002/aic.70547","url":null,"abstract":"<p>Selective depolymerization of industrial lignin into separable aromatic chemicals is crucial for a renewable carbon cycle, yet its condensed structure and parallel reactions severely limit monomer yield and selectivity. We report a hierarchical porous NiCo alloy catalyst with a Lewis acid-enriched metal–acid interface for efficient lignin hydrogenolysis. Alloying-induced electronic reconstruction promotes charge transfer from Ni to Co, downshifting the d-band center to optimize oxygenated intermediate adsorption, lower C–O cleavage energy barriers, and suppress overhydrogenation and recondensation. The optimized Ni:Co = 1:2 catalyst affords approximately 22 wt% phenolic monomers with 92.3% selectivity under mild conditions. Structural analyses confirm extensive cleavage of β-O-4, β-β, and β-5 linkages with reduced molecular weight, and the catalyst shows good magnetic recyclability. This work establishes a direct correlation between electronic structure modulation and interfacial catalytic synergy, providing a scalable strategy for the efficient valorization of technical lignin into aromatic chemicals.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148429025","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":"Dynamic carbon cycling enables near-100% CO selective CO2 hydrogenation on carrier-free Cu catalyst","authors":"Yajie Yu, Haiyi Chen, Kaiji Xu, Jinxin He, Bin Chen, Kok Bing Tan, Dongren Cai, Guowu Zhan","doi":"10.1002/aic.70504","DOIUrl":"https://doi.org/10.1002/aic.70504","url":null,"abstract":"<p>Conventional supported Cu catalysts for the reverse water-gas shift (RWGS) reaction suffer from activity-selectivity trade-offs and stability issues. Herein, we report a carrier-free Cu catalyst (bio-Cu) synthesized via a pollen-templated strategy. The template creates a hierarchical porous framework and enables in situ carbon doping (~4 wt%), ensuring homogeneous Cu dispersion and inhibiting agglomeration. In the RWGS reaction, the bio-Cu catalyst exhibits outstanding performance, achieving >99.1% CO selectivity with 25.3% CO<sub>2</sub> conversion at 340°C and 3 MPa, approximately 3.2 times higher than a conventional Cu benchmark. Under ambient pressure at 450°C, it maintains 30.5% conversion with 99.99% CO selectivity and shows exceptional stability over 100 h. Mechanistic studies reveal that carbon doping generates electron-deficient Cu<sup>δ+</sup> species and promotes a synergistic carbon cycle that operates alongside the conventional redox pathway, collectively enhancing the catalytic efficiency. This work provides new insights into the rational design of high-performance, carrier-free CO<sub>2</sub> hydrogenation catalysts.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904084","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 : 2026-09-08Epub Date: 2026-06-19DOI: 10.1002/aic.70511
Ali Raza Khan, Bingxu Chen, Zhongyao Zhang, Yao Shi, Wenyao Chen, Longqin Gu, Xinggui Zhou, Xuezhi Duan
{"title":"Kinetics evidence for oxidized-site ensemble effects in surfactant-modified vanadium phosphorus oxide catalysts for n-butane oxidation","authors":"Ali Raza Khan, Bingxu Chen, Zhongyao Zhang, Yao Shi, Wenyao Chen, Longqin Gu, Xinggui Zhou, Xuezhi Duan","doi":"10.1002/aic.70511","DOIUrl":"https://doi.org/10.1002/aic.70511","url":null,"abstract":"<p>Selective oxidation of <i>n</i>-butane to maleic anhydride (MA) is fundamentally limited by the activity-selectivity trade-off, and the origin of selectivity control remains debated. Here we show that surfactant-mediated modification of vanadium phosphorus oxide catalysts can shift the reaction network toward MA by suppressing competing carbon oxides (CO<sub>x</sub>) formation. We establish a kinetic framework that explains this selectivity shift through coupled redox-site balance and product-branching kinetics. Kinetic analysis identifies the CO<sub>x</sub> to MA branching parameter (𝛾) as a key descriptor of intrinsic selectivity and reveals that MA formation requires an ensemble instead of an isolated site. These results provide direct kinetic evidence that MA selectivity is governed not only by the electronic properties of the redox sites, but also by ensemble-dependent transition-state formation on the site domains. This work offers both a mechanistic interpretation and a practical model for the ensemble effect that influences MA yield in <i>n</i>-butane oxidation.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904293","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 : 2026-09-08Epub Date: 2026-06-24DOI: 10.1002/aic.70488
Pascal Schäfer, Lukas J. Krinke, Martin Wlotzka, Norbert Asprion
{"title":"Context is all you need: Toward autonomous model-based process design using agentic AI in flowsheet simulations","authors":"Pascal Schäfer, Lukas J. Krinke, Martin Wlotzka, Norbert Asprion","doi":"10.1002/aic.70488","DOIUrl":"https://doi.org/10.1002/aic.70488","url":null,"abstract":"<p>Agentic AI systems integrating large language models (LLMs) with reasoning and tool-use capabilities are transforming software development, yet their application in chemical process flowsheet modeling remains largely unexplored. We present an agentic AI framework that provides assistance in an industrial flowsheet simulation environment. We show that GitHub Copilot (GitHub, Inc., 2026), using state-of-the-art LLMs such as Claude Opus 4.6 (Anthropic, PBC, 2026), can generate valid syntax for our in-house process modeling tool Chemasim from technical documentation and a few commented examples. Building on this, we develop a multi-agent system that decomposes process development tasks: one agent solves the abstract engineering problem while another implements the solution as Chemasim code. We demonstrate the framework on typical flowsheet modeling examples, including a reaction/separation process, a pressure swing distillation, and a heteroazeotropic distillation with entrainer selection, and discuss limitations and future directions.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904266","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 enhancement of activity and stability for haloalcohol dehalogenase in aqueous-organic biphasic systems","authors":"Xuan-Ye Zhu, Shuang-Ying Zhao, Xin-Yu Song, Qian-Qian Liu, Shi-Hao Zhou, Ren-Chao Zheng, Xiao-Ling Tang, Yu-Guo Zheng","doi":"10.1002/aic.70531","DOIUrl":"https://doi.org/10.1002/aic.70531","url":null,"abstract":"<p>The haloalcohol dehalogenase-catalyzed conversion of 1,3-dichloro-2-propanol to epichlorohydrin is a promising biosynthetic route. However, poor stability of substrate and product in aqueous media requires an aqueous-organic biphasic system, which challenges the enzyme's catalytic performance and conformational robustness. To address these bottlenecks, this study developed a synergistic protein engineering strategy via structural analysis and computer-aided rational design. Long-range conformational modulation and direct substrate–enzyme interaction optimization were combined to improve the catalytic efficiency, and a holistic stabilization strategy that coordinates rational reshaping of organic solvent channels and optimization of protein binding free energy was proposed to enhance stability in the biphasic system. The obtained variant (HheC<sub>4M</sub><sup>R123A+A159T+L143N+V206A+F244W</sup>) exhibited a 16.1-fold prolonged half-life (138.3 h) and 3.5-fold higher catalytic efficiency (<i>k</i><sub>cat</sub>/<i>K</i><sub><i>m</i></sub>) than the parental enzyme. The engineering strategy established in this work not only broadens the application prospects of haloalcohol dehalogenases, but also provides new insights for protein engineering in organic or biphasic systems.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904382","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 : 2026-09-08Epub Date: 2026-07-19DOI: 10.1002/aic.70548
Tuo Yao, Zishuo Fu, Muyang Li, Zhenguo Gao, Junbo Gong
{"title":"A deep-learning-enhanced multi-objective framework for crystallization kinetics determination via image analysis","authors":"Tuo Yao, Zishuo Fu, Muyang Li, Zhenguo Gao, Junbo Gong","doi":"10.1002/aic.70548","DOIUrl":"10.1002/aic.70548","url":null,"abstract":"<p>The optimization of crystallization kinetic parameters is frequently hindered by model variability and the prohibitive computational and experimental costs of traditional statistical analysis. The development of deep learning for image analysis provides a viable solution to this challenge. Here, we proposed a multi-objective optimization framework leveraging deep learning-based image analysis to expand the dimensionality of observable process variables. We determined 13 kinetic parameters simultaneously using non-dominated sorting genetic algorithm-III by integrating three distinct residual functions—solute concentration, particle size distribution, and agglomeration rate. While the simulation results exhibited good agreement with respect to concentration profiles and agglomeration rates, notable deviations in PSD shape were observed. These discrepancies were analyzed from the perspective of numerical stability in the simulation process, specifically the stringent constraints on flux diffusion rates required to mitigate numerical dispersion. This multi-objective optimization approach provides a scalable pathway for the high-throughput determination of complex crystallization kinetics.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148498983","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 : 2026-09-08Epub Date: 2026-06-13DOI: 10.1002/aic.70502
Yung-Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy
{"title":"Population balance modeling and digital design of degree of agglomeration in industrial crystallization","authors":"Yung-Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy","doi":"10.1002/aic.70502","DOIUrl":"https://doi.org/10.1002/aic.70502","url":null,"abstract":"<p>This study presents a coupled population balance model (PBM) for describing the degree-of-agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge-counting methods and accurately captured DoA trends using only inline concentration and crystal size distributions (CSDs). An optimization strategy minimizing agglomeration through temperature and cooling adjustments showed that thermal cycling reduced agglomeration and enhanced crystallinity. A multi-objective optimization revealed improvements in dispersity and crystallinity, albeit with reduced particle size. Model-based quality-by-control profiles surpassed the original quality-by-design recipe in agglomeration control and robustness, validated by image analysis and scanning electron microscopy. The optimized strategy also shortened batch times without compromising quality, demonstrating the benefits of digital design in crystallization optimization.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/aic.70502","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
AIChE JournalPub Date : 2026-09-08Epub Date: 2026-06-15DOI: 10.1002/aic.70505
Hao Feng, Muhammad Kashif Khan, Lei Li, Hongyan Ma, Xinhua Liang
{"title":"A four-step thermocatalytic route for converting CO2 into high-purity oxalic acid","authors":"Hao Feng, Muhammad Kashif Khan, Lei Li, Hongyan Ma, Xinhua Liang","doi":"10.1002/aic.70505","DOIUrl":"https://doi.org/10.1002/aic.70505","url":null,"abstract":"<p>This research outlines a four-step methodology for transforming CO<sub>2</sub> into high-purity oxalic acid. CO<sub>2</sub> was first sequestered as KHCO<sub>3</sub> through its reaction with aqueous KOH, followed by hydrogenation using a supported AgPd/CNT catalyst in a batch reactor at an initial H<sub>2</sub> pressure of 60 bar and a temperature of 150°C. The formate yield reached 91.8% at optimum conditions. Potassium formate in the solid state was thermally coupled in the presence of KOH at 400°C under N<sub>2</sub> flow, yielding potassium oxalate of up to 76% yield. The final step was the selective precipitation of potassium oxalate with ferrous ions to produce FeC<sub>2</sub>O<sub>4</sub>·2H<sub>2</sub>O, with approximately 99% recovery efficiency, and then ferrous oxalate was acidified with HCl to get crystalline oxalic acid (H<sub>2</sub>C<sub>2</sub>O<sub>4</sub>·2H<sub>2</sub>O) with a yield of about 85% with a product purity of 99%. After integrating all four steps, the overall yield of oxalic acid from CO<sub>2</sub> was about 57%.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148904135","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":"Unraveling synergy between hierarchical pores and acidity in Beta zeolites for boosting urea-to-melamine conversion","authors":"Weijian Lu, Guilin Li, Lulu Bai, Kaixin Tao, Min Wang, Yao-Feng Wang, Xiangping Zhang, Shaojuan Zeng","doi":"10.1002/aic.70510","DOIUrl":"https://doi.org/10.1002/aic.70510","url":null,"abstract":"<p>Conventional solid catalysts for melamine synthesis from urea suffer from low activity and rapid deactivation. Herein, we developed a series of hierarchical Beta zeolites with tunable architectures (hollow and non-hollow) and abundant acid sites via a facile hydrothermal strategy. The optimized hollow Ho-B30 catalyst achieved a remarkable 92.3% melamine yield under mild conditions (400°C, 0.4 MPa), outperforming conventional microporous zeolite and industrial catalyst by 112.7% and 47.0%, respectively. Systematic investigations revealed a synergy between hierarchical pores and acidity: the hollow hierarchical pores enhance molecular transport, improving accessibility and utilization of acid sites, which collectively boost the catalytic performance. The catalyst also exhibited excellent stability over five cycles. Meanwhile, an integrated temperature-controlled purification strategy enabled direct production of high-purity melamine (98.3%). Reaction pathways were further elucidated by comprehensive analyses and DFT calculations. This work provides fundamental insights into hierarchical pores-acidity synergy for the rational design of efficient zeolite catalysts.</p>","PeriodicalId":120,"journal":{"name":"AIChE Journal","volume":"72 10","pages":""},"PeriodicalIF":4.4,"publicationDate":"2026-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903782","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}