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A bio‑based chitosan/g‑C3N4 coating for improved fire safety of rigid polyurethane foam 生物基壳聚糖/g‑C3N4涂层提高硬质聚氨酯泡沫的防火安全性
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-29 DOI: 10.1016/j.tca.2026.180237
Wenyan Zhang , Qin Xu , Chunhua Feng , Faqiang Su , Ze Zhou
Rigid polyurethane foam (RPUF) is widely used in insulation but remains highly flammable and smoke-producing. Existing flame-retardant systems often require high additive loadings or rely on environmentally problematic components, which limit their practical applicability. A bio-based composite coating of chitosan and graphitic carbon nitride (CS/g-C3N4) was designed to enhance the fire safety of RPUF through a simple surface modification strategy. The coated RPUF exhibited enhanced flame retardancy and smoke suppression, with the limiting oxygen index increasing from 19.4% to 26.3%. Cone calorimetry revealed reduced heat release and smoke production, including a 26.8% decrease in total smoke release and a 23.9% reduction in peak smoke production rate. Residual char analysis and TG–IR results demonstrated a combined gas-phase and condensed-phase flame-retardant mechanism, involving nonflammable gas release and the formation of a compact char layer. This study presents an efficient and environmentally friendly coating strategy to mitigate fire hazards in polymer foams.
硬质聚氨酯泡沫(RPUF)广泛应用于绝缘材料,但仍具有高度易燃和易产生烟雾的特点。现有的阻燃系统通常需要很高的添加剂负荷或依赖于有环境问题的组件,这限制了它们的实际适用性。设计了一种生物基壳聚糖-石墨氮化碳复合涂层(CS/g-C3N4),通过简单的表面改性策略提高了RPUF的防火安全性。包覆后的RPUF具有较好的阻燃性和抑烟性,极限氧指数由19.4%提高到26.3%。锥形量热法显示热量释放和烟雾产生减少,其中总烟雾释放减少26.8%,峰值烟雾产生率降低23.9%。残余焦炭分析和TG-IR结果显示了气相和凝聚相相结合的阻燃机理,包括不可燃气体的释放和致密焦层的形成。本研究提出了一种有效且环保的涂层策略,以减轻聚合物泡沫的火灾危险。
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引用次数: 0
Oxidation of boron powders with distinct particle morphologies 具有不同颗粒形态的硼粉的氧化
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-27 DOI: 10.1016/j.tca.2026.180236
Jonathan L. McNanna, Mysha Momtaz, Mirko Schoenitz, Edward L. Dreizin
Boron is a thermodynamically attractive fuel, and its heterogeneous oxidation is expected to determine its ignition delay in practical configurations. Boron powders are commonly micron-sized aggregates of submicron primary particles. In this work, oxidation is compared for four different commercial boron powders with broad particle size distributions and for the same powders processed using emulsion-assisted milling (EAM) to prepare spherical particles with narrow size distributions. The milled powders were more tightly packed. The observed differences in the oxidation behaviors of commercial powders were reduced after they were EAM-processed. The oxidation proceeded in one step for as-received powders and in two steps for all milled powders. For all powders, the oxidation was incomplete; it slowed down after a smaller mass gain for the milled powders compared to the as-received ones. This was attributed to a lower porosity of the milled powders, which were thus more readily clogged with the formed molten boron oxide, preventing further oxidation. Iron contamination introduced by milling caused the oxidation to begin at a lower temperature; however, it also led to an increase in the activation energy of oxidation. Contamination by zirconia did not affect the oxidation onset temperature or the activation energy.
硼是一种热力学上具有吸引力的燃料,它的非均相氧化有望在实际构型中决定其点火延迟。硼粉通常是微米大小的亚微米初级颗粒的聚集体。在这项工作中,氧化比较了四种不同的商业硼粉具有广泛的粒度分布,并使用乳剂辅助铣磨(EAM)制备具有窄粒度分布的球形颗粒的相同粉末。研磨后的粉末包装得更紧。工业粉末经eam处理后,其氧化行为的差异被减小。对于接收到的粉末,氧化在一步中进行,对于所有研磨的粉末,氧化在两步中进行。所有粉末的氧化都是不完全的;与接收到的粉末相比,研磨粉末的质量增加较小后,速度减慢。这是由于研磨粉末的孔隙率较低,因此更容易被形成的熔融氧化硼堵塞,从而防止进一步氧化。铣削过程中引入的铁污染导致氧化在较低的温度下开始;然而,它也导致了氧化活化能的增加。氧化锆污染不影响氧化起始温度和活化能。
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引用次数: 0
The abnormally promoting effect of molecular rotation on vibration thermal transport-a study on the multi-channel coupled thermal transport characteristics of ammonium perchlorate 分子旋转对振动热输运的异常促进作用——高氯酸铵多通道耦合热输运特性的研究
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-24 DOI: 10.1016/j.tca.2026.180234
Hongfeng Ji , Yufu Chen , Ju Tang , Wei Jiang , Yufei Gao , Fengnan Guo
Ammonium perchlorate (AP) possesses a unique molecular crystalline solid structure, giving rise to multi-channel coupled thermal transport characteristics. These properties are closely related to its thermolysis behavior, which has attracted extensive attention due to its role as an oxidizer. Based on this, the present study employs molecular dynamics simulation to analyze the distinctive thermal properties of AP from a microscopic perspective, and further investigates the influence of a copper substrate on its thermal behavior. Our results show that the thermal conductivity (TC) of AP is dominated by convective heat transport arising from molecular rotations, whereas the solid TC contributed by atomic vibrations and the cross TC arising from fluid-solid interactions are both much lower than the convective component. This unique mode of thermal transport causes the overall TC of AP to exhibit fluid-like behavior under varying temperatures and solid-like behavior under varying pressures. In addition, our study reveals several unique phenomena: molecular rotation in AP abnormally enhances the overall heat transport; after introducing a copper substrate, the overall TC of the system abnormally decreases due to interfacial effects combined with the dominant convective contribution in the model. Through analyses of atomic trajectories, molecular rotational angles, and phonon density of states, we mechanistically explain the promoting effect of rotation on vibrational heat transport. Furthermore, we find that ammonium ions contribute predominantly to convective heat transport, while perchlorate ions mainly contribute to vibrational transport. The rotational motion of perchlorate ions produces a more pronounced enhancement of vibrational heat transport, indicating that the positive cross TC in the structure primarily originates from the rotation of perchlorate ions. Overall, our work provides a comprehensive analysis of the thermal transport characteristics of ammonium perchlorate and uncovers several distinctive phenomena, offering valuable support for advancing its application in composite solid propellants.
高氯酸铵(AP)具有独特的分子晶体结构,具有多通道耦合热输运特性。这些性质与它的热裂解行为密切相关,由于它作为氧化剂的作用而引起了广泛的关注。基于此,本研究采用分子动力学模拟方法,从微观角度分析了AP的独特热性能,并进一步研究了铜衬底对其热行为的影响。结果表明,AP的热导率主要是由分子旋转引起的对流热传递,而原子振动引起的固体热导率和流固相互作用引起的交叉热导率都远低于对流热导率。这种独特的热输运模式导致AP的整体TC在不同温度下表现出类似流体的行为,在不同压力下表现出类似固体的行为。此外,我们的研究还揭示了几个独特的现象:AP中的分子旋转异常地增强了整体热传递;在引入铜衬底后,由于界面效应和模型中主要的对流贡献,系统的总体TC异常降低。通过对原子轨迹、分子旋转角和声子态密度的分析,从力学上解释了旋转对振动热输运的促进作用。此外,我们发现铵离子主要参与对流热输运,而高氯酸盐离子主要参与振动输运。高氯酸盐离子的旋转运动产生了更明显的振动热传递增强,表明结构中的正交叉TC主要来源于高氯酸盐离子的旋转。综合分析了高氯酸铵的热输运特性,揭示了高氯酸铵在复合固体推进剂中的一些独特现象,为推进其在复合固体推进剂中的应用提供了有价值的支持。
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引用次数: 0
Construction of molecular models and study on combustion performance of coals with different metamorphic degrees 不同变质程度煤的分子模型构建及燃烧性能研究
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-11 DOI: 10.1016/j.tca.2026.180224
Jinzhang Jia , Qiang Yang , Bin Li
This study selected lignite, non-caking coal and meager coal as research objects. FTIR, XPS and ¹³C NMR were used to obtain their microstructural characteristics and construct coal molecular models. Results show that with increasing coal rank, aromaticity enhances and aliphatic side chains decrease; pyridine nitrogen and thiophene sulfur are the main occurrence forms of N and S. Based on ReaxFF-MD simulation, the effect mechanism of coal rank on combustion was explored. Simulation indicates that energy release, O₂ consumption, and conversions of CO₂, H₂O, CO are mainly controlled by combustible elements, with insignificant coal rank impact. However, coal rank regulates free radical and hydrocarbon conversion: ∙OH and ∙O increase, while ∙O₂H, ∙CHO and ∙CHO₂ decrease with higher rank. This study provides theoretical basis for clean efficient utilization and combustion regulation of coal.
本研究选取褐煤、无结块煤和贫煤作为研究对象。利用FTIR、XPS和1³C NMR获得了煤的微观结构特征,并建立了煤的分子模型。结果表明:随着煤阶的增加,芳香性增强,脂肪侧链减少;吡啶氮和噻吩硫是N和s的主要赋存形式。基于ReaxFF-MD模拟,探讨了煤阶对燃烧的影响机理。模拟表明,能量释放、O₂消耗以及CO₂、H₂O、CO的转化主要受可燃元素控制,煤阶影响不明显。煤阶对自由基和烃类转化有调节作用,∙OH和∙O随着煤阶的升高而增大,∙O₂H、∙CHO和∙CHO₂随着煤阶的升高而减小。该研究为煤的清洁高效利用和燃烧调控提供了理论依据。
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引用次数: 0
Effect of local environment of DNA on binding of aminoglycosidic drug Streptomycin: Biophysical approach DNA局部环境对氨基糖苷类药物链霉素结合的影响:生物物理方法
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-10 DOI: 10.1016/j.tca.2026.180220
Palak Chawla , Aparna Panicker , Selvaa Kumar C
The interaction of streptomycin with calf thymus DNA (ct-DNA) and sequence-specific polynucleotides was investigated using spectroscopic techniques, isothermal titration calorimetry (ITC), and molecular docking under various physicochemical conditions. Spectroscopic studies have revealed that streptomycin binds to DNA over a wide range of pH values and ionic strengths, indicating that the interaction is not primarily governed by electrostatic forces or protonation–deprotonation equilibria. ITC measurements showed that streptomycin–DNA binding is thermodynamically favorable and predominantly enthalpy-driven, characterized by negative enthalpy changes and modest entropy contributions, consistent with specific hydrogen bonding and short-range noncovalent interactions. molecular docking further supported a groove-associated binding mode stabilized by shape complementarity, hydrogen bonding, and van der Waals contact rather than intercalation. Notably, streptomycin exhibited a stronger affinity toward A·T-rich synthetic polynucleotides, such as polydA·dT and polydA·polydT, than toward heterogeneous ct-DNA. This sequence preference is attributed to the distinctive minor groove geometry, enhanced hydrogen-bonding capacity, and favorable local electrostatic environment of A·T-rich DNA. Overall, the combined spectroscopic, calorimetric, and computational results demonstrate that streptomycin binds to DNA in a stable, sequence-selective, and environmentally robust manner, providing valuable insights into its molecular recognition behavior and informing the rational design of aminoglycoside-based therapeutics.
研究了链霉素与小牛胸腺DNA (ct-DNA)和序列特异性多核苷酸的相互作用,采用光谱技术、等温滴定量热法(ITC)和不同理化条件下的分子对接。光谱研究表明,链霉素与DNA的结合可以在很宽的pH值和离子强度范围内进行,这表明这种相互作用主要不是由静电力或质子-去质子平衡控制的。ITC测量表明链霉素- dna结合在热力学上是有利的,主要是焓驱动的,其特征是负焓变化和适度的熵贡献,与特定的氢键和短程非共价相互作用一致。分子对接进一步支持凹槽相关的结合模式,通过形状互补、氢键和范德华接触而不是插层来稳定。值得注意的是,链霉素对富含a·t的合成多核苷酸(如polydA·dT和polydA·polydT)的亲和性强于对异质ct-DNA的亲和性。这种序列偏好归因于富A·t DNA独特的小凹槽几何形状、增强的氢键能力和良好的局部静电环境。总的来说,结合光谱、量热和计算结果表明,链霉素以稳定、序列选择性和环境稳健的方式与DNA结合,为其分子识别行为提供了有价值的见解,并为氨基糖苷类药物的合理设计提供了信息。
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引用次数: 0
Surface-enhanced Raman spectroscopy for Alzheimer’s Disease biomarkers detection: Advances, challenges, and future perspectives 表面增强拉曼光谱用于阿尔茨海默病生物标志物检测:进展、挑战和未来展望
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-09 DOI: 10.1016/j.tca.2026.180223
Zhiwei Hou , Yihan Song , Aochi Liu , Li Sun , Chenyang Gao , Xinda Cai , Yujiao Xie , Tianxiang Chen , Aiguo Wu , Jie Lin
Surface‐enhanced Raman spectroscopy (SERS) has revolutionized the field of Alzheimer’s disease (AD) biomarker detection with its high sensitivity and specificity. This article systematically reviews the application progress, challenges, and future directions of SERS in AD biomarker detection. Recent progress in Noble metal-based and semiconductor-based Substrates has significantly advanced SERS performance through synergistic electromagnetic and chemical enhancement. These innovations have enabled reliable detection of key biomarkers including Aβ, Tau, GFAP, and NfL, with improved specificity, lower detection limits. In particular, SERS strategies have evolved from addressing signal heterogeneity to achieving conformation selective recognition, real-time monitoring of Aβ aggregation, multiplexed quantification, and intelligent multi-omics analysis integrated with machine learning. Despite these achievements, challenges remain in substrate reproducibility, signal standardization, and translating laboratory demonstrations into clinically validated diagnostic tools. Future research should focus on robust substrate engineering, automated sample handling, multi-biomarker integration, and artificial intelligence (AI)-assisted spectral interpretation. Collectively, these developments position SERS as a promising next-generation technology for early AD diagnosis and precision neuromedicine.
表面增强拉曼光谱(SERS)以其高灵敏度和特异性彻底改变了阿尔茨海默病(AD)生物标志物检测领域。本文系统综述了SERS在AD生物标志物检测中的应用进展、面临的挑战及未来发展方向。近年来,贵金属基片和半导体基片通过电磁和化学的协同增强,显著提高了SERS性能。这些创新使得能够可靠地检测关键生物标志物,包括Aβ, Tau, GFAP和NfL,具有更高的特异性和更低的检测限。特别是,SERS策略已经从解决信号异质性发展到实现构象选择性识别,实时监测Aβ聚集,多路量化以及与机器学习集成的智能多组学分析。尽管取得了这些成就,但在基底的可重复性、信号标准化以及将实验室演示转化为临床验证的诊断工具方面仍然存在挑战。未来的研究应该集中在强大的衬底工程、自动样品处理、多生物标志物集成和人工智能(AI)辅助的光谱解释上。总的来说,这些发展将SERS定位为早期AD诊断和精确神经医学的有前途的下一代技术。
{"title":"Surface-enhanced Raman spectroscopy for Alzheimer’s Disease biomarkers detection: Advances, challenges, and future perspectives","authors":"Zhiwei Hou ,&nbsp;Yihan Song ,&nbsp;Aochi Liu ,&nbsp;Li Sun ,&nbsp;Chenyang Gao ,&nbsp;Xinda Cai ,&nbsp;Yujiao Xie ,&nbsp;Tianxiang Chen ,&nbsp;Aiguo Wu ,&nbsp;Jie Lin","doi":"10.1016/j.tca.2026.180223","DOIUrl":"10.1016/j.tca.2026.180223","url":null,"abstract":"<div><div>Surface‐enhanced Raman spectroscopy (SERS) has revolutionized the field of Alzheimer’s disease (AD) biomarker detection with its high sensitivity and specificity. This article systematically reviews the application progress, challenges, and future directions of SERS in AD biomarker detection. Recent progress in Noble metal-based and semiconductor-based Substrates has significantly advanced SERS performance through synergistic electromagnetic and chemical enhancement. These innovations have enabled reliable detection of key biomarkers including Aβ, Tau, GFAP, and NfL, with improved specificity, lower detection limits. In particular, SERS strategies have evolved from addressing signal heterogeneity to achieving conformation selective recognition, real-time monitoring of Aβ aggregation, multiplexed quantification, and intelligent multi-omics analysis integrated with machine learning. Despite these achievements, challenges remain in substrate reproducibility, signal standardization, and translating laboratory demonstrations into clinically validated diagnostic tools. Future research should focus on robust substrate engineering, automated sample handling, multi-biomarker integration, and artificial intelligence (AI)-assisted spectral interpretation. Collectively, these developments position SERS as a promising next-generation technology for early AD diagnosis and precision neuromedicine.</div></div>","PeriodicalId":23058,"journal":{"name":"Thermochimica Acta","volume":"757 ","pages":"Article 180223"},"PeriodicalIF":3.5,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Predictive modeling and optimization of energy-rich product formation from Prosopis juliflora pods and LDPE co-pyrolysis using RSM and Machine Learning approaches 基于RSM和机器学习方法的大豆豆荚和LDPE共热解富能产物生成预测建模和优化
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-08 DOI: 10.1016/j.tca.2026.180221
Manoj Vaishnav , Yash Srivastava , Nikita Chakraborty , Prasenjit Mondal
The growing global energy demand and fossil fuel depletion have intensified the search for suitable and sustainable alternatives. Biomass and plastic wastes are the two abundant yet underutilized resources that pose serious challenge for environment when improperly managed. Co-pyrolysis process has emerged as a promising technique for sustainable energy production and waste valorization, which enhances the yield and quality of the product through synergistic interaction. The present study provides a unique approach of process optimization and modeling of Prosopis Juliflora pods and waste LDPE co-pyrolysis through combining the response surface methodology (RSM) and machine learning (ML). Temperature, reaction time and heating rate were the variable process parameters, while bio-oil and biochar yield were the response variables. The process temperature varied from 400 to 600°C, the reaction time from 10 to 40 minutes and heating rate varied from 10 to 50°C/min. High prediction accuracy was achieved with R2≈0.98 using RSM and 0.85 with ML for bio-oil yield. At the optimized condition of 600°C temperature, 45.6°C/min heating rate and 25.2 minutes reaction time the experimental yield for bio-oil was 44.95 %, while the RSM predicted yield was 45.52 % and the eXtreme gradient boosting (XGBoost) model predicted yield was 44.57 %. The GCMS analysis revealed the presence of valuable hydrocarbons and other organic compounds in the bio-oil, which was further supported by FTIR analysis. This study highlights the potential of converting invasive weed Prosopis juliflora and waste LDPE into valuable energy-rich products for commercial applications.
全球能源需求的增长和矿物燃料的枯竭促使人们加紧寻找合适和可持续的替代品。生物质和塑料废物是两种丰富但未得到充分利用的资源,如果管理不当,将对环境构成严重挑战。共热解是一种很有前途的可持续能源生产和废物增值技术,它通过协同作用提高了产品的收率和质量。本研究将响应面法(RSM)与机器学习(ML)相结合,为拟豆豆荚与废LDPE共热解的工艺优化与建模提供了一种独特的方法。温度、反应时间和升温速率为可变工艺参数,生物油和生物炭产率为响应变量。工艺温度为400 ~ 600℃,反应时间为10 ~ 40 min,升温速率为10 ~ 50℃/min。RSM法和ML法对生物油收率的预测精度分别为R2≈0.98和0.85。在温度600℃、升温速度45.6℃/min、反应时间25.2 min的优化条件下,生物油的实验产率为44.95%,而RSM模型预测产率为45.52%,eXtreme gradient boost (XGBoost)模型预测产率为44.57%。GCMS分析显示生物油中存在有价烃和其他有机化合物,FTIR分析进一步证实了这一点。这项研究强调了将入侵杂草毛豆和废弃LDPE转化为有价值的富含能量的商业应用产品的潜力。
{"title":"Predictive modeling and optimization of energy-rich product formation from Prosopis juliflora pods and LDPE co-pyrolysis using RSM and Machine Learning approaches","authors":"Manoj Vaishnav ,&nbsp;Yash Srivastava ,&nbsp;Nikita Chakraborty ,&nbsp;Prasenjit Mondal","doi":"10.1016/j.tca.2026.180221","DOIUrl":"10.1016/j.tca.2026.180221","url":null,"abstract":"<div><div>The growing global energy demand and fossil fuel depletion have intensified the search for suitable and sustainable alternatives. Biomass and plastic wastes are the two abundant yet underutilized resources that pose serious challenge for environment when improperly managed. Co-pyrolysis process has emerged as a promising technique for sustainable energy production and waste valorization, which enhances the yield and quality of the product through synergistic interaction. The present study provides a unique approach of process optimization and modeling of <em>Prosopis Juliflora</em> pods and waste LDPE co-pyrolysis through combining the response surface methodology (RSM) and machine learning (ML). Temperature, reaction time and heating rate were the variable process parameters, while bio-oil and biochar yield were the response variables. The process temperature varied from 400 to 600°C, the reaction time from 10 to 40 minutes and heating rate varied from 10 to 50°C/min. High prediction accuracy was achieved with R<sup>2</sup>≈0.98 using RSM and 0.85 with ML for bio-oil yield. At the optimized condition of 600°C temperature, 45.6°C/min heating rate and 25.2 minutes reaction time the experimental yield for bio-oil was 44.95 %, while the RSM predicted yield was 45.52 % and the eXtreme gradient boosting (XGBoost) model predicted yield was 44.57 %. The GCMS analysis revealed the presence of valuable hydrocarbons and other organic compounds in the bio-oil, which was further supported by FTIR analysis. This study highlights the potential of converting invasive weed <em>Prosopis juliflora</em> and waste LDPE into valuable energy-rich products for commercial applications.</div></div>","PeriodicalId":23058,"journal":{"name":"Thermochimica Acta","volume":"757 ","pages":"Article 180221"},"PeriodicalIF":3.5,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved methodology for the measurement of vapor-liquid equilibria of binary mixtures with large boiling point differences via differential scanning calorimetry 改进了用差示扫描量热法测量大沸点差二元混合物汽液平衡的方法
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-08 DOI: 10.1016/j.tca.2026.180222
William Graf von Westarp, Andreas Jupke
The transition from petrochemical to bio-based processes introduces a multitude of novel products and the need for corresponding thermodynamic phase equilibrium data. Differential scanning calorimetry (DSC) offers a small-scale and fast method to determine solid-liquid as well as isobaric vapor-liquid equilibrium data in a wide temperature range. This study aims to extend the use of DSC to measure boiling point data of binary mixtures, focusing on systems with large boiling point differences. By adjusting sample volume and heating rate, the accuracy of measured boiling points for systems with high boiling point differences was improved. The measuring method was applied to a high boiling binary system consisting of carvacrol and dimethylsulfoxide and the experimental data was successfully correlated using the NRTL model. This work broadens the applicability of DSC for future thermodynamic investigations in vapor-liquid equilibrium studies, particularly for high boiling systems with large boiling point differences.
从石油化工到生物基工艺的转变引入了大量的新产品,并需要相应的热力学相平衡数据。差示扫描量热法(DSC)提供了一种在宽温度范围内测定固体-液体以及等压汽液平衡数据的小型快速方法。本研究旨在扩展DSC在二元混合物沸点数据测量中的应用,重点关注沸点差较大的体系。通过调节样品体积和加热速率,提高了高沸点差体系的沸点测量精度。将该方法应用于由香豆醇和二甲亚砜组成的高沸点二元体系,并用NRTL模型成功地对实验数据进行了关联。这项工作扩大了DSC在未来汽液平衡研究中的热力学研究的适用性,特别是对于沸点差大的高沸点系统。
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引用次数: 0
Experimental study on thermal radiation characteristics and optical parameters of tobacco 烟草热辐射特性及光学参数的实验研究
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2026-01-06 DOI: 10.1016/j.tca.2026.180212
Shizhun Liu, Shiquan Shan, Jinhong Yu, Guijia Zhang, Zhijun Zhou
Thermal radiation characteristics determine the volatile release mechanism during tobacco heating. This study experimentally measures thermal radiation characteristics of three typical Chinese tobaccos and inverts the optical parameters. The spectral reflectance of large particles and the spectral transmittance of small particles are measured. Based on Kramers-Kronig dispersion relation and Mie theory, the refractive index and extinction coefficient are inverted. The results show that the spectral reflectance of tobacco samples is synergistically influenced by surface roughness and molecular vibration absorption. The ground samples exhibit higher spectral reflectance, with a maximum exceeding 78%. Transmittance is primarily influenced by the fixed carbon content. Huangshan and Jiaozi samples ball-milled with lower fixed carbon contents exhibit higher transmittance, exceeding 80% above 750 nm. Hongqiqu samples ball-milled with higher fixed carbon content exhibits a higher refractive index and extinction coefficient, with maximum values of 1.61 and 0.21, respectively. The obtained results provide a reference for design of novel heat-not-burn tobacco products.
热辐射特性决定了烟草加热过程中挥发性物质的释放机制。本研究通过实验测量了三种典型中国烟草的热辐射特性,并反演了其光学参数。测量了大颗粒的光谱反射率和小颗粒的光谱透过率。基于Kramers-Kronig色散关系和Mie理论,反演了折射率和消光系数。结果表明,烟草样品的光谱反射率受表面粗糙度和分子振动吸收的协同影响。地面样品具有较高的光谱反射率,最大反射率超过78%。透光率主要受固定碳含量的影响。固定碳含量较低的黄山和饺子样品的透射率较高,在750 nm以上的透射率超过80%。固定碳含量较高的球磨红旗曲样品的折射率和消光系数较高,最大值分别为1.61和0.21。所得结果可为新型热不燃烟草制品的设计提供参考。
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引用次数: 0
Thermal contact resistance between two solid Nylon 66 thin films characterized by Flash DSC measurement 两种固体尼龙66薄膜之间的热接触电阻用Flash DSC测量表征
IF 3.5 2区 化学 Q2 CHEMISTRY, ANALYTICAL Pub Date : 2025-12-30 DOI: 10.1016/j.tca.2025.180211
Yongxuan Chen , Kefeng Xie , Wenbing Hu
Thermal contact resistance plays a critical role for efficient heat dissipation in the thermal management of highly integrated electronic devices like cell phone. However, its in-situ evaluation at the contact surfaces of two micrometer-thick films remains as a technique challenge. In our previous work, we developed Flash DSC measurement of thermal contact resistance between the solid micrometer-thick Nylon 66 film and the chip-sensor with the contact surfaces filled with silicone oil. In this work, we extended this approach to characterize the thermal contact resistance between two solid Nylon 66 thin films. We found that the air at the contact surfaces between two parallel-stacked solid films leads to a poor stability of thermal resistance results. After the contact surface was filled with the highly thermal-conductive silicone oil, the thermal contact between two solid films could be significantly improved, and the thermal contact resistance was obtained as 2.81 × 10−5 m2⋅K⋅W−1, almost double to the bottom contact surface. Our measurement suggested a practically useful Flash DSC method to evaluate the performance of silicone-oil-like thermal interface materials at the contact surfaces between micrometer-thick solid materials for the thermal management of the advanced electronic devices.
在手机等高度集成化电子器件的热管理中,热接触电阻对高效散热起着至关重要的作用。然而,在两微米厚薄膜的接触面上对其进行原位评估仍然是一个技术挑战。在我们之前的工作中,我们开发了Flash DSC测量微米厚的固体尼龙66薄膜和接触面填充硅油的芯片传感器之间的热接触电阻。在这项工作中,我们扩展了这种方法来表征两个固体尼龙66薄膜之间的热接触电阻。我们发现,在两个平行堆叠的固体薄膜之间的接触面处的空气导致热阻结果的稳定性差。在接触面填充高导热硅油后,两层固体膜之间的热接触得到显著改善,接触热阻为2.81 × 10−5 m2⋅K⋅W−1,几乎是底部接触面的两倍。我们的测量提出了一种实用的Flash DSC方法来评估微米厚固体材料接触面的硅油类热界面材料的性能,用于先进电子器件的热管理。
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引用次数: 0
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Thermochimica Acta
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