Reinforcing Poly(ethylene) with Cellulose Nanocrystals

The fabrication of nanocomposites of low‐density polyethylene (LDPE), one of the world's most widely used polymers, and cellulose nanocrystals (CNCs), which represent the world's most abundant bio‐based nanofiller, is reported. While the hydrophobic polymer and the hydrophilic filler seem to be intrinsically incompatible, this article shows that it is possible to kinetically trap homogeneous nanocomposites by a templating approach. An organogel is first prepared by exchanging the solvent of an aqueous CNC dispersion against acetone, impregnating the resulting organogel, in which the CNCs form a percolating network with a hot LDPE solution in toluene, and compression‐molding the resulting materials into thin films. At a filler content of 7.6% v/v, the resulting materials display a three‐ to four‐fold increase in strength and stiffness compared with the neat LDPE, which confirms that the CNC network could be largely maintained. It is also possible to reprocess these nanocomposites and dilute them with LDPE using conventional melt‐processing techniques.

     

Properties of Thermoplastic Starch/Kenaf Composite

This paper reports on the physical and mechanical properties of the thermoplastic sago starch/kenaf fibre (TPSS/KF) composite. The composite was prepared through a compression molding technique at varying fibre contents of 0, 10, 20 and 30 wt.%, whilst the effect of the fibres incorporation was evaluated by physical and mechanical tests, as well as morphological analysis. Reduction of moisture content and denser composite were achieved with a higher fibre content. Meanwhile, the water absorption of the composite was lower than the thermoplastic with an increase in the kenaf fibre loading. Tensile testing improved strength and modulus with the increase of fibres content until an optimum was reached at 30 wt.% of fiber loading. Morphological analysis showed good wetting between the polymer matrix and fibres that provided the tensile improvement.     

原位红外光谱法研究电纺聚酰胺酸纳米纤维膜热亚胺化过程

以均苯二酐和二苯醚二胺为原料合成聚酰胺酸溶液,通过静电纺丝法制得聚酰胺酸纳米纤维膜.利用原位红外技术研究亚胺化进程,并以优化的条件制得聚酰亚胺纳米纤维膜.研究结果表明,当升温速率为2℃/min时,在350℃可实现100%亚胺化;升温速率过快,纳米纤维膜的亚胺化程度较低;采用快速-慢速相结合的升温方法,则可以有效地提高亚胺化效率.     

Properties of acrylonitrile butadiene rubber (NBR)/poly(lactic acid) (PLA) blends and their foams

Abstract

Thermoplastic elastomers and their foams were prepared by blending elastomeric acrylonitrile butadiene rubber (NBR) and rigid poly(lactic acid) (PLA) with various PLA compositions ranging between 0 and 40%. The thermal and mechanical properties and the morphologies of the blends with various PLA contents were investigated through universal testing machine, differential scanning calorimetry, thermogravimetric analysis, and scanning electron microscope analysis. The rheological properties during gel formation were in situ monitored through the evolution of torque with curing time. Furthermore, the microcellular structures and physical properties of the NBR/PLA foams prepared using organic blowing agents were studied. The NBR/PLA blends showed a two-phase morphology made of a continuous NBR matrix and micron or submicron nodules and the tensile strength and modulus; also, hardness of the NBR/PLA blends increased with the increase of the added PLA content. While the foamed samples exhibited a similar cell structure and foaming ratio to that of the pure NBR, the cell formation was considerably reduced as the added PLA content exceeded 30%. We conclude that the mechanical properties of NBR thermoplastic elastomer as well as its foams can be controlled by a judicious introduction of rigid and biodegradable PLA.     

Development of a mobile system based on laser-induced breakdown spectroscopy and dedicated to in situ analysis of polluted soils

Principal Components Analysis (PCA) is successfully applied to the full laser-induced breakdown spectroscopy (LIBS) spectra of soil samples, defining classes according to the concentrations of the major elements. The large variability of the LIBS data is related to the heterogeneity of the samples and the representativeness of the data is finally discussed.     

光催化降解丙酮的原位红外研究

对催化剂.Pt/V2O5/MgF2在反应温度为120～150℃之间进行了光催化降解丙酮的研究,研究在可见光下进行,发现反应温度对光催化反应有明显的影响.在排除热反应的情况下,温度升高能加速丙酮的光催化反应.丙酮的光催化反应是从它的甲基上开始的,可能先生成了CH3COCH2O-吸附物,它进一步被氧化成丙酮醛、丙酮酸以及碳二醛、乙酸和碳一吸附物种,最终氧化成CO2和水.在没有光和较低的反应温度下,有CO生成,但是在可见光的照射下CO被迅速转化成CO2.研究表明,V2O5/MgF2与Pt/V2O5/MgF2为可见光条件下具备活性的光催化剂.     

Nonlinear in-plane thermal buckling of rotationally restrained functionally graded carbon nanotube reinforced composite shallow arches under uniform radial loading

The nonlinear in-plane instability of functionally graded carbon nanotube reinforced composite (FG-CNTRC) shallow circular arches with rotational constraints subject to a uniform radial load in a thermal environment is investigated. Assuming arches with thickness-graded material properties, four different distribution patterns of carbon nanotubes (CNTs) are considered. The classical arch theory and Donnell’s shallow shell theory assumptions are used to evaluate the arch displacement field, and the analytical solutions of buckling equilibrium equations and buckling loads are obtained by using the principle of virtual work. The critical geometric parameters are introduced to determine the criteria for buckling mode switching. Parametric studies are carried out to demonstrate the effects of temperature variations, material parameters, geometric parameters, and elastic constraints on the stability of the arch. It is found that increasing the volume fraction of CNTs and distributing CNTs away from the neutral axis significantly enhance the bending stiffness of the arch. In addition, the pretension and initial displacement caused by the temperature field have significant effects on the buckling behavior.     

结合化学组装和电沉积的SERS基底的制备方法

采用一种结合化学组装和电化学沉积制备均匀而且具有强SERS基底的方法, 研究了沉积电位对组装在ITO表面的金纳米粒子形貌的影响, 发现在-0.04 V下沉积5 min可以得到形貌均匀的纳米粒子. 利用现场电化学紫外-可见吸收光谱来监控电化学沉积过程, 发现沉积一定时间后, 紫外-可见吸收谱在600~700 nm区间出现新峰, 表明粒子间发生了有效的电磁场耦合. 对制备的基底进行拉曼成像, 结果表明, 基底的均匀性很好, 最强点与最弱点的d信号差小于20%, 符合商品化基底的要求.     

Research on Computer-Aided Diagnosis Method Based on Symptom Filtering and Weighted Network

In the process of disease identification, as the number of diseases increases, the collection of both diseases and symptoms becomes larger. However, existing computer-aided diagnosis systems do not completely solve the dimensional disaster caused by the increasing data set. To address the above problems, we propose methods of using symptom filtering and a weighted network with the goal of deeper processing of the collected symptom information. Symptom filtering is similar to a filter in signal transmission, which can filter the collected symptom information, further reduce the dimensional space of the system, and make the important symptoms more prominent. The weighted network, on the other hand, mines deeper disease information by modeling the channels of symptom information, amplifying important information, and suppressing unimportant information. Compared with existing hierarchical reinforcement learning models, the feature extraction methods proposed in this paper can help existing models improve their accuracy by more than 10%.     

我国X射线光谱现场分析技术研究进展

X射线光谱现场分析技术是在现场工作条件下对待测目标体中元素进行快速定性和定量分析的仪器分析技术,被广泛应用于一些大型分析仪器和化学分析方法所不能直接应用的领域。该文回顾了近二十年来我国X射线光谱现场分析技术的研究进展。从现场原位分析和现场取样分析两个角度,评述了现场X射线光谱仪的研究进展和主要技术特征;探讨了X射线光谱现场分析数据处理的关键技术问题,概括了X射线仪器谱解析方法的创新性和演变规律;介绍了我国现场X射线光谱分析在地质普查、环境污染调查、文物现场鉴定、合金分析中的重要应用;评价了国际上X射线光谱现场分析仪的研究现状和进展。提出了X射线光谱现场分析技术的研究方向,以期在更多的应用领域得到长足发展。