The mechanism of pristine steel slag for boosted performance of fly ash-based geopolymers

The high autogenous shrinkage of geopolymers hampers their application as building materials. In this study, pristine steel slag was used as an expansion material to mitigate shrinkage in geopolymers. The influence of pristine steel slag on the chemical deformation of alkali-activated fly ash-based geopolymers is investigated. The microstructure of the expanded system was studied by X-ray diffraction (XRD), FTIR measurement, thermogravimetric measurement (TGA), scanning electron microscopy with energy dispersive X-ray (SEM/EDS) and mercury intrusion porosimetry (MIP). Finally, the mechanisms of expansion were elucidated. The experimental results show that the shrinkage of the geopolymer is eliminated with the addition of steel slag. Fly ash was replaced by 0, 5, 10, and 15% of steel slag, and the expansion rate ranged from ?0.29% to 20.24%. Increased steel slag content reduced the bulk density of geopolymer. The incorporation of steel slag not only provided calcium for the information of C-A-S-H but also filled the pores. Steel slag produces different expansion effects in different porous media and thus refines the pore structure. Therefore, expansion by means of steel slag is an efficient approach for mitigating shrinkage in fly ash-based geopolymers.     

Proof of the Andrews–Dyson–Rhoades conjecture on the spt-crank

The spt-crank of a vector partition, or an S  -partition, was introduced by Andrews, Garvan and Liang. Let _NS(m,n)$N_S(m,n)$ denote the net number of S-partitions of n with spt-crank m, that is, the number of S  -partitions (_π1,_π2,_π3)$({\pi }_1,{\pi }_2,{\pi }_3)$ of n with spt-crank m   such that the length of _π1${\pi }_1$ is odd minus the number of S  -partitions (_π1,_π2,_π3)$({\pi }_1,{\pi }_2,{\pi }_3)$ of n with spt-crank m   such that the length of _π1${\pi }_1$ is even. Andrews, Dyson and Rhoades conjectured that _{NS(m,n)}m${\{N_S(m,n)\}}_m$ is unimodal for any n  , and they showed that this conjecture is equivalent to an inequality between the rank and crank of ordinary partitions. They obtained an asymptotic formula for the difference between the rank and crank of ordinary partitions, which implies _NS(m,n)≥_NS(m+1,n)$N_S(m,n)\ge N_S(m+1,n)$ for sufficiently large n and fixed m. In this paper, we introduce a representation of an ordinary partition, called the m-Durfee rectangle symbol, which is a rectangular generalization of the Durfee symbol introduced by Andrews. We give a proof of the conjecture of Andrews, Dyson and Rhoades. We also show that this conjecture implies an inequality between the positive rank and crank moments obtained by Andrews, Chan and Kim.     

Optical multistability in nonlinear negative index Fibonacci multilayers

We have demonstrated numerically that the nonlinear negative index Fibonacci multilayer can exhibit optical multistability and offer a wide variety of switching between states of various contrasts. The stepwise up-switch and one-step or stepwise down-switch operations can take place in such structures. It is also shown that multistable operations and contrasts can be controlled by regulating the width of the negative index slabs.     

盐酸二乙胺与己二酸、癸二酸的相关系

在电子工业中,盐酸二乙胺常与己二酸或癸二酸等二羧酸配合用作有机软钎剂的活性成份[1].文献中极少报道有关有机物的相图研究[2],上述(C2H5)2NH·HCl-C6H10O4和(C2H5)2NH·HCl-C10H18O4的相图,特别是它们混和物的热分解尚未见报道,这给有关钎剂的合成和应用带来很大的盲目性.本文用DTA,DSC,TGA和目测变温法[3]研究了(C2H5)2NH·HCl-C6H10O4和(C2H5)2NH·HCl-C10H18O4两个二元系的相图及其各组成点的热分解温度和行为.1　实验部分(C2H5)2NH·HCl[2],C6H10O4[4](化学纯)在二次去离子水中重结晶,C10H18O4(化学纯)在无水…     

一种研究生物大分子与其小分子配基相互作用的毛细管电泳新方法

建立了一种定量研究大分子与小分子间相互作用的毛细管电泳新方法,即在线微透 析三电极系统亲和毛细管电泳法。本法可测定小分子的自由浓度而不受蛋白质大分子的干 扰。详细介绍了实验装置的制作,探讨了进样机制。作为实例,研究了生理条件下ｐＨ７．４, ５０ｍｍｏｌ／Ｌ磷酸介质中,牛血清白蛋白与磺胺甲基异噁唑、Ｌ－色氨酸、Ｄ－色氨酸的亲和常数的 测定,其值分别为５．８×１０~ ４Ｌ／ｍｏｌ, ２．３ ×１０~４Ｌ／ｍｏｌ, １．７７×１０~３Ｌ／ｍｏｌ。本法较简便,能在生理环 境下测定,样品用量亦少。     

Unraveling the Impact of Gold(I)–Thiolate Motifs on the Aggregation-Induced Emission of Gold Nanoclusters

Aggregation-induced emission (AIE) provides an efficient strategy to synthesize highly luminescent metal nanoclusters (NCs), however, rational control of emission energy and intensity of metal NCs is still challenging. This communication reveals the impact of surface Au^I-thiolate motifs on the AIE properties of Au NCs, by employing a series of water-soluble glutathione (GSH)-coordinated Au complexes and NCs as a model ([Au₁₀SR₁₀], [Au₁₅SR₁₃], [Au₁₈SR₁₄], and [Au₂₅SR₁₈]⁻, SR=thiolate ligand). Spectroscopic investigations show that the emission wavelength of Au NCs is adjustable from visible to the near-infrared II (NIR-II) region by controlling the length of the Au^I-SR motifs on the NC surface. Decreasing the length of Au^I-SR motifs also changes the origin of cluster luminescence from AIE-type phosphorescence to Au⁰-core-dictated fluorescence. This effect becomes more prominent when the degree of aggregation of Au NCs increases in solution.     

Silver(I)-organic networks constructed with flexible silver-ethynide supramolecular synthon o-, m-, p-Cl–C6H5OCH2CC⊃Agn (n = 4, 5)

A series of five silver coordination polymers [(AgL1)·(AgCF₃COO)₅·(H₂O)₃] (1), [(AgL1)₂·(AgCF₃COO)₁₁·(H₂O)₆] (2), [(AgL2)·(AgCF₃COO)₃·(H₂O)] (3), [(AgL3)·(AgCF₃COO)₄·(CH₃CN)₂] (4), and [(AgL3)·(AgCF₃COO)₇·(CH₃CN)₂·(H₂O)₂] (5) have been constructed from three flexible anionic ligands HL1, HL2, and HL3 (HL1 = 1-chloro-2-(prop-2-ynyloxy)benzene, HL2 = 1-chloro-3-(prop-2-ynyloxy)benzene, HL3 = 1-chloro-4-(prop-2-ynyloxy)benzene). In these compounds, the invariable appearance of the μ₄- and μ₅-ligation modes of the ethynide moiety affirms the general utility of the flexible silver-ethynide supramolecular synthon o-, m-, p-Cl?C₆H₅OCH₂CC?Ag_n (n = 4, 5) in coordination network assembly. Among them, Ag?Cl interaction plays a vital role in assembling the supramolecular structures in complexes 1?3.     

Identification of heparin samples that contain impurities or contaminants by chemometric pattern recognition analysis of proton NMR spectral data

Chemometric analysis of a set of one-dimensional (1D) (1)H nuclear magnetic resonance (NMR) spectral data for heparin sodium active pharmaceutical ingredient (API) samples was employed to distinguish USP-grade heparin samples from those containing oversulfated chondroitin sulfate (OSCS) contaminant and/or unacceptable levels of dermatan sulfate (DS) impurity. Three chemometric pattern recognition approaches were implemented: classification and regression tree (CART), artificial neural network (ANN), and support vector machine (SVM). Heparin sodium samples from various manufacturers were analyzed in 2008 and 2009 by 1D (1)H NMR, strong anion-exchange high-performance liquid chromatography, and percent galactosamine in total hexosamine tests. Based on these data, the samples were divided into three groups: Heparin, DS ≤ 1.0% and OSCS = 0%; DS, DS > 1.0% and OSCS = 0%; and OSCS, OSCS > 0% with any content of DS. Three data sets corresponding to different chemical shift regions (1.95-2.20, 3.10-5.70, and 1.95-5.70 ppm) were evaluated. While all three chemometric approaches were able to effectively model the data in the 1.95-2.20 ppm region, SVM was found to substantially outperform CART and ANN for data in the 3.10-5.70 ppm region in terms of classification success rate. A 100% prediction rate was frequently achieved for discrimination between heparin and OSCS samples. The majority of classification errors between heparin and DS involved cases where the DS content was close to the 1.0% DS borderline between the two classes. When these borderline samples were removed, nearly perfect classification results were attained. Satisfactory results were achieved when the resulting models were challenged by test samples containing blends of heparin APIs spiked with non-, partially, or fully oversulfated chondroitin sulfate A, heparan sulfate, or DS at the 1.0%, 5.0%, and 10.0% (w/w) levels. This study demonstrated that the combination of 1D (1)H NMR spectroscopy with multivariate chemometric methods is a nonsubjective, statistics-based approach for heparin quality control and purity assessment that, once standardized, minimizes the need for expert analysts.