气相色谱-质谱法测定茶叶中的噻嗪酮残留量

建立了气相色谱-质谱法测定茶叶中噻嗪酮残留量的方法。茶叶中残留的噻嗪酮用丙酮-正己烷混合溶剂(1∶1)提取,提取液经Envi-Carb活性碳柱和LC-Alumina N中性氧化铝柱净化,浓缩定容后,直接用气相色谱-质谱进行分析和确证,外标法定量。以HP-5MS(30m×0.25mm i. d., 0.25 μm)石英毛细管柱为分离柱,噻嗪酮的分离效果良好。方法的线性范围为0.01～1.00μg/mL,检出限为0.01mg/kg,回收率为81.6％～97.2％,相对标准偏差为3.36％～5.78％。质谱监测离子选m/z为105、140、172、305amu,其强度比约为41∶13∶29∶17。样品前处理采用微量化学技术。     

V2O5纳米片固载Pt纳米粒子催化剂的构建及其增强催化空气氧化脱硫性能

以铂系金属为代表的贵金属催化剂在工业反应中通常表现出优异的催化性能,这是因为其具有独特的d带电子结构和较高的价电子比.近年来,由于大气排放法规愈发严苛,铂系贵金属催化剂在催化空气氧化燃油脱硫方面的研究引起了广泛关注.在该催化反应中,铂系金属纳米粒子可以有效活化空气中的氧气,产生的活性氧物种可以将油品中的噻吩类硫化物氧化为其对应的强极性砜类物质,从而可以将其从非极性的油品中分离出来,有效实现油品中硫化物的深度氧化脱除.然而,在反应过程中铂系贵金属纳米粒子易发生流失和烧结,从而导致催化剂的失活.因此,急需寻找一类可以有效固载铂系贵金属纳米粒子的载体.在目前已报道的众多载体中,以ZrO₂、TiO₂、CeO₂、ZnO等为代表的过渡金属氧化物引起了广泛的关注.通常认为,铂系贵金属纳米粒子的d轨道电子和过渡金属氧化物之间可形成金属-载体强相互作用.然而,目前所使用的过渡金属氧化物载体的比表面积较小,从而导致铂系贵金属纳米粒子难以有效且均匀地分散于其表面.本文采用热膨胀气相剥离法制备了超薄V2O5纳米片,并通过超声辅助沉积法将Pt纳米粒子固载于其表面,从而得到一系列可高效活化空气氧化脱硫的催化剂(Pt NPs-n/V₂O₅纳米片).通过电感耦合等离子体光谱、高倍透射电镜、原子力显微镜、X射线光电子能谱、X射线衍射、拉曼光谱和氮气吸附脱附等方法对催化剂的结构和形貌进行了表征.结果表明,尺寸为4-5 nm的Pt纳米粒子可有效均匀分散于层数约为6层的V2O5纳米片表面;在空气氧化脱硫反应中,当催化剂中Pt理论负载量为2 wt%时,反应5 h后,油品的脱硫率可达99.1%,实现了硫化物的深度氧化脱除.该反应体系对不同硫浓度、不同含硫底物的油品均有较好的脱除效果,但对含有烯烃、芳烃的油品脱除效果较差.此外,催化剂循环使用7次后,其脱硫活性仍无明显下降,表现出优异的重复使用性能.对反应后的催化剂进行表征,发现Pt几乎不发生流失,这可能是由于Pt纳米粒子和V₂O₅纳米片之间形成了金属-载体强相互作用.该结果为其他空气氧化反应的有效进行提供了新思路.     

一种钆硼酸盐Rb2LiGdB2O6的结构、合成及光学性质

在Rb2 CO3-Li2 CO3-Gd2 O3-H3 BO3体系中,用自发结晶的方法获得了一种钆硼酸盐Rb2 LiGdB2 O6(RLGBO)单晶,同时,用固相合成法获得了RLGBO粉末多晶.单晶结构解析表明,RLGBO属于正交晶系,Pbcm空间群,晶胞参数a=7.0259(3)?,b=9.6103(4)?,c=10.0562(4)?和z=4.热学性质表明,RLGBO在840℃下保持良好的热稳定性.在RLGBO中分别掺杂2;的Ce3+,80;的Eu3+和50;的Tb3+之后,其结构不会发生改变.在紫外光及近紫外光激发下,RLGBO:Ce3+,RLGBO:Eu3+和RLGBO:Tb3+可分别发射蓝光,红光和绿光.结果表明,RLGBO化合物可作为发光物质的基质材料.     

(Gd,Lu)3Al5O12∶Tb3+,Eu3+透明陶瓷制备与发光性能

通过简单的化学沉淀法制备了纳米前驱体,结合真空烧结工艺,制备了一系列镥稳定钆铝石榴石{(Gd, Lu)₃Al₅O₁₂∶Tb,Eu}透明陶瓷。将透明陶瓷加工成1 mm厚的圆片,对透明陶瓷样品进行了X射线衍射、光致发光、透过率和衰减时间等表征。高温烧结过后,陶瓷样品仍保持稳定的石榴石相。选定313 nm作为透明陶瓷的激发波长,可获得最强的荧光发射。此外,通过对不同样品进行紫外可见荧光测试,获得了由绿光到红光的可调节发射。在313 nm激发,543 nm和591 nm的监测波长下,透明陶瓷样品均具有Eu³⁺的毫秒级衰减时间。     

高超声速飞行器气动热关联换算方法研究

气动热风洞实验是地面研究和预测飞行器气动热环境的重要手段之一, 但由于风洞实验模拟能力的限制, 风洞实验的流场参数和模型的几何尺度都会与实际飞行情况存在一定的差别, 导致地面风洞实验中得到的模型表面气动加热率数据无法直接用于飞行条件下的热环境预测和热防护设计. 以往通过针对具体飞行器的试验结果进行数据拟合后外插的气动热关联换算方法指向性较强, 没有考虑到气动热的具体影响参数, 存在一定局限性, 难以外推应用于其他外形的飞行器. 为解决通过气动热风洞实验数据外推预测飞行条件下气动热的技术难题, 基于无量纲NS方程和边界层理论分析研究了影响气动热的主要参数, 并通过推导化简边界层近似解热流公式, 针对层流流态建立了气动热关联换算方法, 可以考虑当地边界层外缘参数的影响, 具有一定通用性. 在此基础上, 利用建立的方法将Reentry-F飞行器缩比模型的风洞实验数据换算到该飞行器飞行条件下的典型工况, 并与飞行测量结果进行了比较, 外推预测结果与飞行测量结果符合较好, 表明建立的关联方法可以用于气动热风洞实验数据的外推换算.      

Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity

Drug repurposing identifies new clinical indications for existing drugs. It can be used to overcome common problems associated with cancers, such as heterogeneity and resistance to established therapies, by rapidly adapting known drugs for new treatment. In this study, we utilized a recommendation system learning model to prioritize candidate cancer drugs. We designed a drug–drug pathway functional similarity by integrating multiple genetic and epigenetic alterations such as gene expression, copy number variation (CNV), and DNA methylation. When compared with other similarities, such as SMILES chemical structures and drug targets based on the protein–protein interaction network, our approach provided better interpretable models capturing drug response mechanisms. Furthermore, our approach can achieve comparable accuracy when evaluated with other learning models based on large public datasets (CCLE and GDSC). A case study about the Erlotinib and OSI-906 (Linsitinib) indicated that they have a synergistic effect to reduce the growth rate of tumors, which is an alternative targeted therapy option for patients. Taken together, our computational method characterized drug response from the viewpoint of a multi-omics pathway and systematically predicted candidate cancer drugs with similar therapeutic effects.     

Design,Synthesis, and Cytotoxic Activity of Novel Natural Arylsulfonamide-Inspired Molecules

Primary arylsulfonamide functional groups feature prominently in diverse pharmaceuticals. However, natural arylsulfonamides are relatively infrequent. In this work, two novel arylsulfonamide natural products were first synthesized, and then a series of novel molecules derived from natural arylsulfonamides were designed and synthesized, and their in vitro cytotoxic activities against A875, HepG2, and MARC145 cell lines were systematically evaluated. The results indicate that some of these arylsulfonamide derivatives exhibit significantly good cytotoxic activity against the tested cell lines compared with the control 5-fluorouracil (5-FU), such as compounds 10l, 10p, 10q, and 10r. In particular, the potential molecule 10q, containing a carbazole moiety, exhibited the highest inhibitory activity against all tested cell lines, with IC₅₀ values of 4.19 ± 0.78, 3.55 ± 0.63, and 2.95 ± 0.78 μg/mL, respectively. This will offer the potential to discover novel drug-like compounds from the sparsely populated area of natural products that can lead to effective anticancer agents.     

Selection of Planar Chiral Conformations between Pillar[5,6]arenes Induced by Amino Acid Derivatives in Aqueous Media

Chiral α-amino acids play critical roles in the metabolic process in nearly all life forms. So far, chiral recognition of α-amino acids has mainly focused on the determination of l /d enantiomers. Herein, selection of planar chiral conformations between water-soluble pillar[5]arene WP5 and pillar[6]arene WP6 was observed due to α-side chain or ethyl ester moieties of l -α-amino acid ethyl ester hydrochlorides binding with WP5 and WP6 , respectively. Therefore, α-side chain and ethyl ester moieties of l -α-amino acid ethyl ester hydrochlorides were recognized by observing the induced CD signal and its inversion. This is a rare example of being able to detect the chiral region around α-carbon of a chiral α-amino acid molecule.     

Local electronic and electrical properties of functionalized graphene nano flakes

Based on experimental findings models of amorphous graphene related carbon materials were generated using graphene nano flakes. On the optimized structures detailed local electronic properties were investigated using density functional theory. The electrical conductivities of all these models were also estimated using an in-house program based on tight-binding method. The calculated electrical conductivity values of all the models agreed well with the trend of calculated energy gap and graphitic character.