离子色谱-脉冲安培电化学检测引流组织液中的妥布霉素

建立了一种离子色谱(IC)分离,脉冲安培电化学法(PAD)直接检测人体引流组织液中妥布霉素的分析方法.采用高交换容量阴离子交换柱和低浓度KOH在线淋洗分离,不需要采用衍生化和离子对-柱后加碱等实现分离,并可在短时间内完成妥布霉素的测定.采用本方法测定的妥布霉素线性范围为0.05～10 mg/L,线性相关系数为0.9997,保留时间、峰面积和峰高的相对标准偏差分别为0.14％,0.38％和0.81％,检出限为7.11 μg/L.本方法成功应用于骨髓炎患者引流组织液中妥布霉素的测定,样品实际加标回收率为100.8％.     

A simple and convenient method for direct α-chlorination of ketones with ammonium chloride and Oxone~

When ketones were treated with ammonium chloride and Oxone~ in MeOH at room temperature,a directα-chlorination of ketones was occurred and a series of the corresponding a-chloroketones were obtained in moderate to good yields after 24 h.In this reaction,ammonium chloride was used as the source of chlorine and Oxone~ was used as an oxidant.This method was simple, convenient and providing a novel procedure for preparation of a-chloroketones.     

大孔吸附树脂吸附法结合氯仿溶解法分离混合二元酸

建立利用大孔吸附树脂吸附法结合氯仿溶解法分离混合二元酸中丁二酸、戊二酸和己二酸的方法并使其分别达到一定的纯度和收率。首先利用LC-ESI-MS方法测定了混合二元酸中丁二酸、戊二酸和己二酸含量,然后通过对3种大孔吸附树脂AB-8、NKA-Ⅱ和D-380吸附性能的综合比较,筛选出AB-8大孔吸附树脂作为吸附剂,以水、10%、30%和95%乙醇水溶液作为洗脱剂对混合二元酸进行初步的分离,得到A、B、C和D4个分离部位,再利用氯仿对二元酸溶解度的不同,将该4个分离部位在55℃水浴恒温分别用氯仿进行溶解、过滤,通过LC-ESI-MS方法测定确定相应部位的组成情况后进行适当合并,最终达到将混合二元酸分离的目的。丁二酸纯度:70.3%,收率:92.7%;戊二酸纯度:94.1%,收率89.2%;己二酸纯度:90.7%,收率:88.7%。     

固相萃取-超高效液相色谱-电喷雾串联质谱法同时测定地表水中16种全氟有机化合物

建立了固相萃取-超高效液相色谱-电喷雾串联三重四极杆质谱联用技术分析水中16种全氟有机化合物的高通量检测方法。样品经WAX固相萃取柱富集和净化后,采用Waters ACQUITY UPLC^TM BEH C₁₈色谱柱,含2 mmol/L乙酸铵的甲醇和含2 mmol/L乙酸铵的水作为流动相进行梯度洗脱,质谱采用电喷雾负离子电离,多反应监测模式检测。16种全氟有机化合物在0.5~100 μg/L或1.0~100 μg/L浓度范围内线性关系良好,相关系数为0.9987~0.9999,方法的检出限为0.06~0.46 ng/L;高、中、低3个添加水平的回收率为67.6%~103%,相对标准偏差为2.94%~12.0%。结果表明,该方法灵敏、准确且检测范围广,分析速度快,是一种适于实际水样中全氟有机化合物检测分析的方法。     

双功能聚合物基质阳离子交换固定相的制备及其在离子色谱中的应用

离子色谱是分离分析阳离子型化合物的重要手段之一。高效阳离子交换固定相的制备研究对离子色谱技术的发展具有重要的意义。该文以丙烯酸和顺丁烯二酸酐为单体,2-巯基乙基磺酸钠为巯基改性剂,提出了聚合物基质微球巯基改性自由基聚合修饰方法,用以制备新型双功能的阳离子交换固定相。该固定相以羧基和磺酸基为功能基,仅用简单的强酸淋洗液便可以实现常规阳离子的基线分离。利用色谱学模型,对金属离子和有机胺的保留行为进行了研究。采用梯度淋洗模式,可在24 min内实现10种阳离子的分离,表明固定相具有优异的色谱性能。"巯基-烯"修饰方法简单、高效。此外,通过调节巯基改性剂的比例能够实现对固定相交换能力的调控。     

Graph Neural Network for Protein–Protein Interaction Prediction: A Comparative Study

Proteins are the fundamental biological macromolecules which underline practically all biological activities. Protein–protein interactions (PPIs), as they are known, are how proteins interact with other proteins in their environment to perform biological functions. Understanding PPIs reveals how cells behave and operate, such as the antigen recognition and signal transduction in the immune system. In the past decades, many computational methods have been developed to predict PPIs automatically, requiring less time and resources than experimental techniques. In this paper, we present a comparative study of various graph neural networks for protein–protein interaction prediction. Five network models are analyzed and compared, including neural networks (NN), graph convolutional neural networks (GCN), graph attention networks (GAT), hyperbolic neural networks (HNN), and hyperbolic graph convolutions (HGCN). By utilizing the protein sequence information, all of these models can predict the interaction between proteins. Fourteen PPI datasets are extracted and utilized to compare the prediction performance of all these methods. The experimental results show that hyperbolic graph neural networks tend to have a better performance than the other methods on the protein-related datasets.     

Evaluation of ammonia–nitrogen removal efficiency from aqueous solutions by ultrasonic irradiation in short sonication periods

In this study, mechanisms and efficiency of ammonia–nitrogen removal from aqueous solutions by ultrasonic irradiation were investigated. Depending on the factors affecting the sonication (initial concentration, initial pH, ultrasonic power density and sonication period), sonication tests were carried out and ammonium–nitrogen removal efficiency by ultrasonic irradiation was determined. In these experiments, ammonia–nitrogen removal efficiency was achieved in the range of 8–64%. In short sonication periods, the best ammonia–nitrogen removal efficiency was achieved at pH 8.2–11. Lower ammonia–nitrogen removal efficiency was observed in high initial ammonia–nitrogen concentration of solutions. It was observed that high initial ammonia–nitrogen concentrations may led to decreased ammonia–nitrogen removal efficiency however quantity of ammonia–nitrogen removal was higher. Because high initial concentration had a negative impact on the sonochemical reactions the heat of cavitation bubbles was reduced. Ammonia–nitrogen removal efficiency was increased with ultrasonic density and sonication period. This study showed that effective ammonia–nitrogen removal could be achieved by the ultrasonic irradiation in short sonication periods (as 60–600 s). Specific cost of ammonia–nitrogen removal by the ultrasonic irradiation from simulated ground water, surface water, wastewater and landfill leachate was also calculated. The specific removal cost was varied between 0.01 and 0.25 $/g ammonia–nitrogen.     

To Quantify the Difference of η-Inner Products in P T $\mathcal {P}\mathcal {T}$ -Symmetric Theory

International Journal of Theoretical Physics - In this paper, we consider a typical continuous two dimensional $\mathcal {P}\mathcal {T}$ -symmetric Hamiltonian and propose two different approaches...     

Superconducting Properties and Absence of Time Reversal Symmetry Breaking in the Noncentrosymmetric Superconducting Compounds TaxRe1-x(0.1≤x≤0.25)

Unconventional superconductivity,in particular,in noncentrosymmetric systems,has been a long-sought topic in condensed matter physics.Recently,Re-based superconductors have attracted great attention owing to the potential time-reversal symmetry breaking in their superconducting states.We report the superconducting properties of noncentrosymmetric compounds Ta_xRe_1-x with 0.1 ≤x≤0.25,and find that the superconducting transition temperature reaches a maximum of ~8 K at the optimal level x=0.15.Nevertheless,muon-spin rotation and relaxation measurements reveal no time-reversal symmetry breaking existing in its superconducting state,which is in sharp contrast to both centrosymmetric Re metal and many other noncentrosymmetric Re-based superconductors.