Pub Date : 2025-08-23DOI: 10.1007/s11144-025-02944-7
Zonglin Li, Weizheng Shao, Yan Sun, Yongzhi Ren
This study systematically evaluates three methodologies for quantifying the heat required for biomass pyrolysis (HRP), namely differential scanning calorimetry (DSC), power monitoring, and heat balance calculation, employing four typical agricultural residues (camellia shell, tobacco stalk, cassava straw, and eucalyptus) as substrates. DSC analysis, conducted under nitrogen atmosphere with heating rates of 10, 20, and 30 °C/min, yields HRP values in the range of –0.472 to –1.123 MJ/kg. Additionally, experiments were carried out on a screw pyrolyzer equipped with an energy monitor to obtain the HRP. The HRP, as determined by the energy meter, ranges from 0.756 to 0.936 MJ/kg. Conversely, the HRP calculated through the heat balance method varies from 2.026 to 2.672 MJ/kg.
{"title":"Comparative analysis of three methods for measuring the heat required for biomass pyrolysis","authors":"Zonglin Li, Weizheng Shao, Yan Sun, Yongzhi Ren","doi":"10.1007/s11144-025-02944-7","DOIUrl":"10.1007/s11144-025-02944-7","url":null,"abstract":"<div><p>This study systematically evaluates three methodologies for quantifying the heat required for biomass pyrolysis (HRP), namely differential scanning calorimetry (DSC), power monitoring, and heat balance calculation, employing four typical agricultural residues (camellia shell, tobacco stalk, cassava straw, and eucalyptus) as substrates. DSC analysis, conducted under nitrogen atmosphere with heating rates of 10, 20, and 30 °C/min, yields HRP values in the range of –0.472 to –1.123 MJ/kg. Additionally, experiments were carried out on a screw pyrolyzer equipped with an energy monitor to obtain the HRP. The HRP, as determined by the energy meter, ranges from 0.756 to 0.936 MJ/kg. Conversely, the HRP calculated through the heat balance method varies from 2.026 to 2.672 MJ/kg.</p></div>","PeriodicalId":750,"journal":{"name":"Reaction Kinetics, Mechanisms and Catalysis","volume":"138 6","pages":"3959 - 3976"},"PeriodicalIF":1.7,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145429173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this work, the Se-π acid-catalyzed oxidative ring-closing reaction of (E)-4-phenylbut-3-enoic acid promoted by either 2-iodosobenzoic acid (IBA) or 3,4,5,6-tetrafluoro-2-iodosobenzoic acid (FIBA) was theoretically studied at PBE0-D3(BJ)/Def2-TZVP/SMD(MeCN)//PBE0-D3(BJ)/Def2-SVP/SMD(MeCN) level of theory. The most likely reaction mechanisms were screened out, catalytic cycles were proposed, and the rate-determining steps and the activation Gibbs energy barriers of all the catalytic cycles were investigated. The acidity of breaking C-H bonds determines the regioselectivity of the β-elimination reaction. The reasons why the structural differences between IBA and FIBA lead to different reaction yields have also been discussed in detail.
{"title":"A theoretical study of organoselenium-catalyzed oxidative ring-closing reaction: structure/selectivity/yield relationships","authors":"Chao-Xian Yan, Yuan Lei, Xin Wei, Ling-Jian Yang, Xin-Qiang Hua","doi":"10.1007/s11144-025-02949-2","DOIUrl":"10.1007/s11144-025-02949-2","url":null,"abstract":"<div><p>In this work, the Se-π acid-catalyzed oxidative ring-closing reaction of (<i>E</i>)-4-phenylbut-3-enoic acid promoted by either 2-iodosobenzoic acid (<b>IBA</b>) or 3,4,5,6-tetrafluoro-2-iodosobenzoic acid (<b>FIBA</b>) was theoretically studied at PBE0-D3(BJ)/Def2-TZVP/SMD(MeCN)//PBE0-D3(BJ)/Def2-SVP/SMD(MeCN) level of theory. The most likely reaction mechanisms were screened out, catalytic cycles were proposed, and the rate-determining steps and the activation Gibbs energy barriers of all the catalytic cycles were investigated. The acidity of breaking C-H bonds determines the regioselectivity of the <i>β</i>-elimination reaction. The reasons why the structural differences between <b>IBA</b> and <b>FIBA</b> lead to different reaction yields have also been discussed in detail.</p></div>","PeriodicalId":750,"journal":{"name":"Reaction Kinetics, Mechanisms and Catalysis","volume":"138 6","pages":"3977 - 3991"},"PeriodicalIF":1.7,"publicationDate":"2025-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145429130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-20DOI: 10.1007/s11144-025-02947-4
Nenad Zecevic
This study introduces a multiscale model for ammonia synthesis catalysts that integrates intrinsic kinetics, intraparticle diffusion, and deactivation mechanisms, specifically water vapor self-poisoning and long-term aging. Extending the Temkin-Pyzhev kinetic framework, the model incorporates a size-dependent self-poisoning coefficient (γ(dp)), a time-dependent aging factor (af(t)), and a Thiele modulus-based effectiveness factor (η). Calibrated with experimental data, it accurately predicts nitrogen consumption rates (rN2) for catalyst particle sizes ranging from 0.6 to 9.0 mm and operational lifetimes of 2 to 5 years, with errors as low as 0.8% for larger particles. Unlike traditional models, this approach quantifies reduction-induced deactivation, which significantly impacts larger particles by markedly reducing activity. Implemented in MATLAB, the model provides a predictive tool for optimizing catalyst design and reactor performance under industrial conditions. By linking microkinetic, transport, and deactivation phenomena, this work enhances the efficiency and longevity of ammonia synthesis processes, both traditional and novel.
{"title":"Multiscale catalyst model for ammonia synthesis: coupling kinetics, diffusion and deactivation","authors":"Nenad Zecevic","doi":"10.1007/s11144-025-02947-4","DOIUrl":"10.1007/s11144-025-02947-4","url":null,"abstract":"<div><p>This study introduces a multiscale model for ammonia synthesis catalysts that integrates intrinsic kinetics, intraparticle diffusion, and deactivation mechanisms, specifically water vapor self-poisoning and long-term aging. Extending the Temkin-Pyzhev kinetic framework, the model incorporates a size-dependent self-poisoning coefficient (<i>γ(dp)</i>), a time-dependent aging factor (<i>af(t)</i>), and a Thiele modulus-based effectiveness factor (<i>η</i>). Calibrated with experimental data, it accurately predicts nitrogen consumption rates (<i>r</i><sub><i>N2</i></sub>) for catalyst particle sizes ranging from 0.6 to 9.0 mm and operational lifetimes of 2 to 5 years, with errors as low as 0.8% for larger particles. Unlike traditional models, this approach quantifies reduction-induced deactivation, which significantly impacts larger particles by markedly reducing activity. Implemented in MATLAB, the model provides a predictive tool for optimizing catalyst design and reactor performance under industrial conditions. By linking microkinetic, transport, and deactivation phenomena, this work enhances the efficiency and longevity of ammonia synthesis processes, both traditional and novel.</p></div>","PeriodicalId":750,"journal":{"name":"Reaction Kinetics, Mechanisms and Catalysis","volume":"138 6","pages":"3645 - 3664"},"PeriodicalIF":1.7,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145429175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-08-20DOI: 10.1007/s11144-025-02931-y
Houari Hachemi, Darlington C. Ashiegbu, Nourredine Bettahar, Rudolph Erasmus, Herman J. Potgieter
In this study, ZnO nanoparticles were synthesized via coprecipitation at three different temperatures (20 °C, 40 °C, and 80 °C), and their structural, morphological, optical, and photocatalytic properties were comprehensively examined. X-ray diffraction confirmed a hexagonal wurtzite structure for all samples, with crystallite sizes decreasing from 41.8 nm (Zn20) to 34.8 nm (Zn80) as synthesis temperature increased. These findings were further supported by FTIR analysis. Scanning electron microscopy revealed uniform pseudo-spherical morphologies, while UV–Visible and photoluminescence (PL) analyses showed a systematic increase in bandgap energy from 3.13 eV to 3.20 eV. Notably, PL measurements indicated significantly reduced emission intensity for Zn80, implying retarded electron–hole pair recombination and thus more efficient charge carrier separation. Photocatalytic experiments demonstrated that Zn80 exhibited the highest performance, achieving 96% degradation of methylene blue under simulated solar irradiation within 60 min. This superior activity is attributed to its optimized defect structure, improved charge carrier dynamics, and increased surface area. Furthermore, scavenging tests confirmed hydroxyl radicals (⋅OH) as the dominant reactive species, and Zn80 maintained remarkable stability and reusability over four consecutive cycles with negligible efficiency loss. This work presents a novel approach focusing on the systematic investigation of coprecipitation synthesis temperature as a single, controllable parameter to tailor the properties of ZnO nanoparticles. Unlike conventional methods that rely on dopants, surfactants, or composite materials, this strategy demonstrates that significant enhancements in photocatalytic activity can be achieved through simple temperature modulation, paving the way for cost-effective and scalable production of high-performance ZnO photocatalysts.