原油乳状液破乳的动态法研究

The stability of different crude oil emulsions from ASP flooding production well is studied by the method of a stirred tank. The demulsifying of crude-oil emulsion by different demulsifying agents is discussed. The breakage of the crude oil emulsions from the well PO11 by the different types and concentrations of the emulsifying agents is also discussed. The breaking mechanism of the demulsifying agent is described microscopically.     

The influences of solid-phase organic constituents on the partition of aliphatic and aromatic organic contaminants

The influence of natural organic matter (NOM) constituents on contaminant distribution coefficients was evaluated by determining the Koc values of aromatic and aliphatic organic compounds (solutes) with clays modified with both aromatic- and aliphatic-rich organic constituents. The studied compounds consisted of naphthalene, phenanthrene, n-pentane, and 2,3,4-trimethylmethane; the solid samples comprised two clays with little organic content, kaolinite and Ca-montmorillonite. Two aliphatic surfactants and three aromatic dyes, sorbed to the clays, served as reference NOM constituents. For solutes of comparable water solubilities, the organic-carbon normalized distribution coefficients (Koc) of the aliphatic solutes between sorbed aliphatic organic matter and aqueous solution slightly exceed those of the aromatic solutes. By contrast, the aromatic solutes exhibited higher Koc values than did the aliphatic compounds with sorbed aromatic-rich organic matter. The difference in Koc values could be attributed to either comparable solubility parameters or the difference in the chemical structure between nonionic organic solutes and specific components of the simulated NOM. The much higher Koc values observed for the aromatic solutes indicate that the NOM composition is a major factor determining the NOC environmental distribution.     

十二烷基硫酸钠水溶液的动态表面吸附性质

利用MPTC型气泡压力张仪研究了十二烷基硫酸钠(SDS)溶液在不同NaCl 浓度下的动态表面吸附性质, 分析了离子型表面活性剂在表面吸附层和胶束中形成双电层结构产生表面电荷对动态表面扩散过程和胶束性质的影响. 结果表明, SDS在表面吸附过程中, 表面电荷的存在会产生5.5 kJ·mol^-1的吸附势垒(E_a), 显著降低十二烷基硫酸根离子(DS^-)的有效扩散系数(D_eff). 十二烷基硫酸根离子的有效扩散系数与自扩散系数(D)的比值(D_eff/D)仅为0.013, 这表明SDS与非离子型表面活性剂不同, 在吸附初期为混合动力控制吸附机制. 加入NaCl可以降低吸附势垒. 当加入不小于80 mmol·L^-1 NaCl后, E_a小于0.3 kJ·mol^-1, D_eff/D在0.8-1.2之间, 表现出与非离子型表面活性剂相同的扩散控制吸附机制. 同时, 通过分析SDS胶束溶液的动态表面张力获得了表征胶束解体速度的常数(k₂). 发现随着NaCl 浓度的增大, k₂减小, 表明SDS胶束表面电荷的存在会增加十二烷基硫酸根离子间的排斥力, 促进胶束解体.     

压电胰岛素-C肽微阵列免疫传感器研究

以AT切型、基频10MHz的镀金膜石英晶体作为换能器,将抗人胰岛素和C肽单克隆抗体固定在石英晶体电极表面,用2×5检测池固定夹具构建一种新型压电胰岛素-C肽微阵列免疫传感器.研究了抗体固定方法、抗体工作浓度、固定量、一致性以及传感器的响应参数如检测温度、时间和特异性等的影响.该微阵列传感器在胰岛素浓度为2.5～160.0mIU/L、C肽浓度为0.375～12.0ng/mL范围内响应特性良好,压电晶体频率偏移值与胰岛素和C肽浓度呈良好的线性关系.将此微阵列传感器用于人血清标本的测定,结果与放射免疫法符合(r为0.92和0.94).此微阵列传感器具有灵敏度高、特异性好,低密度阵列结构,检测通量较高,不需标记,操作简单、能实时在线检测和重复使用等优点,能用于临床实验诊断,具有临床推广应用价值.     

去甲氯胺酮半抗原及其全抗原的合成与鉴定

在低温条件下,去甲氯胺酮与琥珀醛酸反应,合成了半抗原羧基-去甲氯胺酮,电喷雾质谱鉴定结果表明,目标半抗原合成成功;通过碳二亚胺法将半抗原与载体蛋白偶联制备人工抗原,红外光谱法鉴定结果表明,人工抗原合成成功,基质辅助激光解析电离飞行时间质谱鉴定表明去甲氯胺酮半抗原与牛血清白蛋白的偶联比为11:1。经动物免疫,获得高效价特异性多克隆抗体,抗血清效价可达5.12×104。     

Eu3+掺杂TiO2纳米晶的制备及光催化降解部分水解聚丙烯酰胺

以四异丙氧基钛(TTIP)为钛源, 采用溶胶-凝胶及水热合成方法, 制备了不同Eu3+含量的TiO2纳米晶催化剂, 运用载射线衍射谱、紫外-可见漫反射光谱仪、X射线光电子能谱仪和电感耦合等离子体原子发射光谱仪等手段对催化剂晶型、微晶尺寸、表面状态、组成及光学性能进行表征.结果表明, 所制备的样品均为锐钛矿型纳米晶, 粒子尺寸在9 nm左右, 铕以Eu2O3的形式存在于TiO2的晶格间隙. 在紫外光条件下降解部分水解聚丙烯酰胺(HPAM), 通过比较Eu3+的不同掺杂量对催化活性的影响, 得出Eu3+的最佳掺杂量为2.4%(w), 矿化率最终可达67%. 通过液质联机测定HPAM降解的中间产物, 推断了Eu3+/TiO2降解HPAM的机理.     

破乳剂对油水界面膜作用机理研究

研究了破乳剂存在下油膜寿命、油膜薄化速率以及油水界面性质与破乳效果的关系.结果表明,破乳剂使油水界面弹性降低,导致油水界面强度减弱,界面膜寿命变短,界面膜厚度变薄.当膜厚度变薄到一临界值时,膜破裂,导致破乳脱水.同种破乳剂,随着其浓度的增加,界面弹性降低.当浓度超过某一值时,界面弹性值基本不变.不同种破乳剂,界面弹性降低幅度越大,其破乳效果越好.界面弹性值可以很好解释破乳剂的脱水率变化规律.     

Preparation and Properties of Poly（ether ether ketone）/Carbon Nanotube Modified Polypropylene Janus Composite Separator北大核心CSCD

Lithium-ion batteries （LIBs）have attracted wide attention because of their broad prospects in electric vehicles. However,the safety problems and low multiplier performance of the commercial polyolefin separator limit their further development,due to the poor dimensional thermal stability and low electrolyte absorption rate. Poly（ether ether ketone）（PEEK）and carbon nanotube（CNT）are compounded to coat on polypropylene （PP） to prepare Janus composite separator （PP@C） through the phase inversion method. PP@C composite separator does not deform at 180 ℃ for 0. 5 h（only slight deformation）,illustrating excellent thermal stability. The electrolyte absorption rate of PP@C2 is 193. 8%. The electrolyte uptake rate of the PP@C2 composite membrane was 193. 8%,which was 64. 5% higher than the PP membrane,showing a superduper electrolyte permeability. As a result,the specific discharge capacity of LIBs assembled with PP@C2 composite separator is 157. 6 mA·h/g at 0. 2 C and 129. 8 mA·h/g at 2 C,showing good rate performance with the capacity recovery rate of more than 99%. This might be attributed to the ultra-high thermal stability of PEEK,the good affinity of the electrolyte,the high conductivity of CNT,as well as the uniform dispersion of Li+ ,so that the separator can have excellent electrochemical performance while improving safety. © 2022, Science Press (China). All rights reserved.     

基于深度学习的两分量BEC中量子相变点的识别

识别物质的相变是物理学研究中一个重要问题.本文采用了一种混淆标签方案的卷积神经网络算法来识别两分量玻色-爱因斯坦凝聚(BEC)中量子相变点,通过计算神经网络输出的准确率,得到W型性能曲线,此性能曲线中间的极大值对应着量子相变的临界点.研究结果表明,深度学习得到的量子相变点与解析计算值吻合度较高.此混淆标签方案的深度学习研究方法可以应用到存在两种相的相变体系.