纳米材料干燥技术进展（一）

从纳米材料干燥的特殊性着手，调查归纳了纳米材料干燥技术的最新理论研究成果。首次将纳米材料的干燥方法分为直接干燥法、溶剂置换干燥法和纳米材料改性干燥法三大类，并对这些干燥方法进行了评述和比较。简要讨论了纳米材料干燥方法的选择问题，提出了纳米材料干燥技术的研究发展方向。     

基团贡献法分子设计研究的进展

利用基团贡献法可预测化合物的性质,还能用于化合物的计算机辅助分子设计(CAMD).本文论述了基于基团贡献法CAMD的基本原理,以及在溶剂和聚合物等领域分子设计的应用,对分子设计的计算方法也作了简单的介绍.随着绿色溶剂和新型聚合物材料需求的增加,基团贡献法CAMD将大有应用前景.     

溶剂-非溶剂法在奥克托今球形化重结晶中的应用

阐述了溶剂-非溶剂法球形化重结晶奥克托今的影响因素,介绍了溶剂-非溶剂法在奥克托今球形化重结晶中应用的研究进展和计算机模拟技术。     

萃取精馏及进展

萃取精馏是一种特殊精馏方法 ,适用于近沸点物系和共沸物的分离。萃取精馏按操作方式可分为连续萃取精馏和间歇萃取精馏 ,间歇萃取精馏是近年发展起来的新的萃取精馏方法。萃取精馏的关键是溶剂的选择 ,以往萃取精馏采用的溶剂是单一溶剂 ,近年来人们开始研究使用混合溶剂 ,取得了良好效果     

氯化苄水解合成苯甲醇反应过程的研究

针对氯化苄水解合成苯甲醇反应过程，通过对相转移催化法和溶剂法的比较，选择了具有高选择性的溶剂——二甲苯，研究了溶剂、水及水解剂的用量、反应温度和时间等影响因素，得出了优化工艺条件。     

涂料溶剂配方的设计

讨论了涂料溶剂配方的技术条件。通过计算机编程的方法设计了改性沥青漆的溶剂配方，并对计算机设计溶剂配方的可行性进行了分析。     

浅谈顺酐生产工艺路线

顺酐的生产方法按原料路线可分为苯氧化法、正丁烷氧化法、C_4烯烃法、和苯酐副产法。目前国内外常用的后处理工艺有两种技术方法,即水吸收法和溶剂吸收法。     

劣质煤利用煤高温溶剂萃取物炼焦

此前我们提出了新的煤炭溶剂萃取法,并用溶剂连续萃取装置大幅提高了煤的萃取率。该方法是以非极性萘满为萃取溶剂,在350℃和10MPa的条件下对煤进行萃取。烟煤采用该法可萃取65?%,萃取物在高温下的溶解成分分为室温析出成     

超临界流体技术在制备超微粉体中的应用

SCF制备超微粉体是一项新技术。利用SCF较好的溶解、扩散和传输能力，能制备出性能优异的超微粉体。按其工艺原理可分为：SCF快速膨胀法(RESS)、SCF反溶剂法(SAS)和SCF微乳液法。本文对RESS、SCF反溶剂法(SAS)和SCF微乳液法制备超微粉体的原理进行了总结，并对其在化工材料、医药、食品等领域中的研究现状进行了介绍。     

超临界流体制备超微粉体的研究进展

超临界流体制备超微粉体是一项新技术，利用超临界流体较好的溶解、扩散和传输能力，能制备出高质量的超微粉体，根据其工艺原理可分为：超临界流体快速膨胀法（RESS），超临界流体脱溶剂法（GAS）和超临界流体微乳法，本文对RESS，GAS和超临界流体微乳法制备超微粉体的原理进行了总结，并对这3种方法在食品、医药、化工材料等领域中的研究现状进行了介绍。     

废水中磷回收技术的研究进展

详细阐述4种从废水中回收磷的原理及方法的研究现状,包括化学沉淀法、吸附法、生物法、结晶法,分析并比较每种方法的优势与不足,为不同条件下污水中磷的回收提供依据,并展望了今后的研发方向。磷酸铵镁可作为一种环境友好型的缓释肥,磷酸铵镁结晶法的应用将成为从废水中回收磷的一种趋势,将得到更广泛的推广应用。     

水热法制备纳米分散颗粒和晶须材料进展

纳米分散颗粒和一维晶须材料性能优越、用途广泛,是近年研究热点。液相法尤其是水热法因具有过程简单和能耗低等特点而被广泛用于制备纳米材料。首先介绍了近年来水热技术在纳米分散颗粒制备中的进展,包括超临界水热法、连续水热法以及水热改性法,并分析了其实现纳米颗粒粒径及分散性控制的原理。然后介绍了两种水热制备晶须材料的新思路,包括水热重结晶法和离子诱导-结构重整法,阐述了其实现晶须定向生长的机制。     

Chemical Biology Approaches toward Precise Structure Control of IgG-Based Antibody-Oligonucleotide Conjugates

Antibody-oligonucleotide conjugates (AOCs) are important tools for drug development and biochemical analysis. However, the structural heterogeneity of AOCs synthesized through conventional coupling methods raises reproducibility and safety concerns in clinical trials. To address these issues, different covalent coupling approaches have been developed to synthesize AOCs with precise site-specificity and degree of conjugation. This Concept article categorizes these approaches as linker-free or linker-mediated and provides details on their chemistry and potential applications. Several factors, including site-specificity, conjugation control, accessibility, stability, and efficiency, are highlighted when evaluating the pros and cons of these approaches. The article also discusses the future of AOCs, including the development of better conjugation approaches to ensure stimuli-responsive release and the application of high-throughput methods to facilitate their development.     

A multistep method for steady-state Monte Carlo simulations of polymerization processes

Identifying the microscopic information of polymers is of great significance for polymerization processes. Monte Carlo (MC) simulation is a powerful tool to predict the microscopic structure of polymers. Currently, most MC methods are designed for dynamic polymerization processes based on time evolution. The study on MC simulation for steady-state processes is scarce and current approaches face challenges in addressing complex mechanisms. In this work, a multistep method is proposed for the steady-state MC simulation. By introducing the “buffer pool” concept, the proposed method is computationally efficient and flexible to derive accurate predictions for processes with various polymerization mechanisms. Three applications with increasing complexity in the kinetic mechanisms, including both linear and branching polymerizations, are presented to demonstrate the applicability of the proposed method.     

Output feedback robust model predictive control with unmeasurable model parameters and bounded disturbance☆

The output feedback model predictive control (MPC), for a linear parameter varying (LPV) process system including unmeasurable model parameters and disturbance (all lying in known polytopes), is considered. Some previously developed tools, including the norm-bounding technique for relaxing the disturbance-related constraint handling, the dynamic output feedback law, the notion of quadratic boundedness for specifying the closed-loop stability, and the el ipsoidal state estimation error bound for guaranteeing the recursive feasibility, are merged in the control design. Some previous approaches are shown to be the special cases. An example of continuous stirred tank reactor (CSTR) is given to show the effectiveness of the proposed approaches.     

Analysis of sterol content and composition in fats and oils by capillary-gas liquid chromatography using an internal standard. Comments on the German sterol method

The advantages and disadvantages of various approaches to the capillary-gas liquid chromatography (GLC) of sterols in fats and oils with internal standards are discussed. The German method F-III 1²(,3) for sterol analysis in fats and oils, which uses betulin as an internal standard, was reformulated and translated. A number of further improvements and alterations were also made, and the procedure used is described more precisely below in English in order to give detailed explanations, e.g. regarding the role of the aluminium oxide column and of the internal standard betulin. The method is applicable to a wide range of oils and fats, including mixtures of vegetable and animal fats, cereal lipids, and partially hydrogenated fats.     

搅拌反应器中计算流体力学数值模拟的影响因素研究进展

回顾了搅拌反应器中计算流体力学（CFD）数值模拟方法的研究历程,包括搅拌桨叶边界条件法、内外迭代法、滑移网格法、多重参考系法、快速照相法等方法;结合各种模拟方法的特点,对机械搅拌反应器数值模拟过程中的挡板的存在、尾涡的消除、复杂桨叶类型的模拟、网格精度的影响、湍流模型的选择、离散格式的差异等几个因素的影响作了分析。提出了搅拌反应器的CFD数值模拟仍有待深入研究。     

Artificial neural network approaches on composition-property relationships of jet fuels based on GC-MS

The relationships of composition-properties of 80 jet fuels concerning chemical compositions and several specification properties including density, flashpoint, freezing point, aniline point and net heat of combustion were studied. The chemical compositions of the jet fuels were determined by GC-MS, and grouped into eight classes of hydrocarbon compounds, including n-paraffins, isoparaffins, monocyclopraffins, dicyclopraffins, alkylbenzens, naphthalenes, tetralins, hydroaromatics. Several quantitative composition-property relationships were developed with three artificial neural network (ANN) approaches, including single-layer feedforward neural network (SLFNN), multiple layer feedforward neural network (MLFNN) and general regressed neural network (GRNN). It was found that SLFNNs are adequate to predict density, freezing point and net heat of combustion, while MLFNNs produce better results as far as the flash point and aniline point prediction are concerned. Comparisons with the multiple linear regression (MLR) correlations reported and the standard ASTM methods showed that ANN approaches of composition-property relationships are significant improvement on MLR correlations, and are comparable to the standard ASTM methods.     

热化学碘硫循环中的Bunsen反应研究进展

热化学碘硫循环分解水是目前得到广泛研究的、最有实现前景的核能制氢工艺之一。其中的Bunsen反应连接硫酸分解与氢碘酸分解反应,对碘硫循环实现闭合至关重要。许多研究者对Bunsen反应进行了研究,对其操作条件、产物分离特性、副反应及产物纯化等方面进行了探索,并提出了一些新方法。本文对Bunsen反应的研究进展进行了综述,比较了主要研究机构对Bunsen反应条件和产物分离特性的研究结果,对Bunsen副反应和产物纯化条件进行了概括,并总结了最佳操作条件。此外,对提出的与传统方法不同的Bunsen反应新方法进行了概述。这些结果可对碘硫循环中Bunsen反应的顺利实现并进而实现整体过程的连续稳定操作提供理论依据和参考。