Multiphase Flow Regime Characterization and Liquid Flow Measurement Using Low-Field Magnetic Resonance Imaging

Multiphase flow metering with operationally robust, low-cost real-time systems that provide accuracy across a broad range of produced volumes and fluid properties, is a requirement across a range of process industries, particularly those concerning petroleum. Especially the wide variety of multiphase flow profiles that can be encountered in the field provides challenges in terms of metering accuracy. Recently, low-field magnetic resonance (MR) measurement technology has been introduced as a feasible solution for the petroleum industry. In this work, we study two phase air-water horizontal flows using MR technology. We show that low-field MR technology applied to multiphase flow has the capability to measure the instantaneous liquid holdup and liquid flow velocity using a constant gradient low flip angle CPMG (LFA-CPMG) pulse sequence. LFA-CPMG allows representative sampling of the correlations between liquid holdup and liquid flow velocity, which allows multiphase flow profiles to be characterized. Flow measurements based on this method allow liquid flow rate determination with an accuracy that is independent of the multiphase flow profile observed in horizontal pipe flow for a wide dynamic range in terms of the average gas and liquid flow rates.     

Role of Gut Microbiota,Probiotics and Prebiotics in the Cardiovascular Diseases

In recent years, there has been a growing interest in identifying and applying new, naturally occurring molecules that promote health. Probiotics are defined as “live microorganisms which, when administered in adequate amounts, confer health benefits on the host”. Quite a few fermented products serve as the source of probiotic strains, with many factors influencing the effectiveness of probiotics, including interactions of probiotic bacteria with the host’s microbiome. Prebiotics contain no microorganisms, only substances which stimulate their growth. Prebiotics can be obtained from various sources, including breast milk, soybeans, and raw oats, however, the most popular prebiotics are the oligosaccharides contained in plants. Recent research increasingly claims that probiotics and prebiotics alleviate many disorders related to the immune system, cancer metastasis, type 2 diabetes, and obesity. However, little is known about the role of these supplements as important dietary components in preventing or treating cardiovascular disease. Still, some reports and clinical studies were conducted, offering new ways of treatment. Therefore, the aim of this review is to discuss the roles of gut microbiota, probiotics, and prebiotics interventions in the prevention and treatment of cardiovascular disease.     

微纳电化学传感界面的构建及其用于单细胞实时监测

细胞是生物体形态结构和生命活动的基本单位.常规检测群体细胞的方法往往会掩盖细胞间的个体差异,因此亟需发展高效的单细胞分析策略,深入研究细胞生命活动过程,揭示疾病发生发展机制,推动个体化诊疗.超微电化学传感器具有尺寸小、灵敏度高、时空分辨率高等特点,在单细胞实时动态监测方面发挥了非常重要的作用.目前,微纳电化学传感器在电极制备、高性能传感界面构建、理论分析等方面已取得重要进展,且在单细胞实时监测及相关细胞机制研究方面取得突破.然而,单细胞内环境复杂、活性分子浓度低且随时空高度动态变化,这对微纳电化学传感器的灵敏度和选择性等综合性能提出了更高要求.我们课题组长期从事基于微纳电化学传感的单细胞与亚细胞实时动态监测研究,本文主要介绍了我们近10年来在该领域的研究进展,并对未来的挑战与机遇进行了探讨.     

Inhibition of two Cu(II) and Mn(II) coordination polymers on the surgical site infections by inhibiting the bacterial biofilm formation

Within this work, two novel Cu(II) and Mn(II)-based coordination polymers (CPs) along with chemical compositions of {[Cu₂(L¹)(1,4-NDC)₂]·3H₂O}_n (1, 1,4-H₂NDC = Naphthalene-1,4-dicarboxylic acid, L¹ ​= ​di(1H-imidazole-1-yl)methane) and [Mn₃(L²)₂(H₂O)₂(1,4-NDC)₂]_n (2, L² ​= ​1,4-di(1H-imidazole-1-yl)benzene) have been completed in success via related metal salts reaction with 1,4-H₂NDC ligand in existence of various N-donor co-ligands. We discovered its application values on the surgical site infections (SSI) along with corresponding mechanism in the interim. We evaluated inflammatory cytokines released into the urine through ELISA detection kit after compound treatment. Then, we discovered the inhibitory effect of compound on the bacterial biofilm formation via real time RT-PCR.     

锂离子电池硅氧化物负极首次库伦效率的影响因素与提升策略

硅氧化物(SiO_x, 0<x≤2)具有高的比容量和低的嵌锂电位, 且体积膨胀率显著低于纯硅负极, 因而被认为是替代传统石墨负极材料的理想选择之一. 然而SiO_x负极在首次嵌锂过程中表面形成的固体电解质界面膜(SEI)以及大量的不可逆产物, 造成其首次库伦效率偏低, 严重阻碍了SiO_x负极的实际应用. 本文从SiO_x的结构模型出发, 系统阐述了SiO_x负极的嵌锂机理以及首次库伦效率低的原因; 归纳了SiO_x负极首次库伦效率的提升策略及其研究进展; 并对提升SiO_x负极首次库伦效率的未来发展方向进行了展望.     

中空多壳层结构在电磁波领域中的应用

中空多壳层结构(HoMSs)是一种以纳米颗粒为结构单元构筑而成的具有多界面、 多维度的微纳米级宏观组装体, 具有次序排列的多个壳层及相互连通的多个空腔, 被认为是电磁波领域极具应用前景的功能材料. 本文主要从电磁波捕获、 传输及能量转换3个角度详细阐述HoMSs在电磁波领域应用中的独特优势, 浅析了HoMSs壳层数目、 壳层厚度、 壳层间距、 壳层组成等结构参数对电磁波传输与利用的影响规律, 并预测了HoMSs在电磁波领域的发展趋势, 以期为实现电磁波的高效利用提供参考.     

FER分子筛中铝原子的受限落位

分子筛是一类具有规则孔道或笼状结构的多孔材料,因其独特的结构和可调的酸性而广泛用于石油化工、精细化学品合成、现代煤化工等诸多行业.2006年Iglesia等在具有8元环孔道结构/侧口袋的FER和MOR分子筛上实现了无卤素添加、无贵金属存在条件下,由二甲醚羰基化合成乙酸甲酯的反应.乙酸甲酯通过进一步加氢可实现煤基乙醇的绿色生产.MOR分子筛通常具有较高的催化活性,但失活迅速;FER分子筛表现出良好的催化稳定性,但活性较低.如何在保证FER分子筛稳定性的前提下,进一步提升其羰基化活性是目前研究的热点.前期理论和实验研究发现,二甲醚羰基化反应活性与分子筛8元环孔道中的Br?nsted酸位密度存在正相关.因此,通过优化合成条件,选择性调控铝原子分布在"ferrierite"笼中,可以提高FER分子筛的羰基化反应活性.尽管研究者已在调节FER分子筛铝分布方面进行了大量研究,但对于不同T位上Al原子的精准识别以及对应Br?nsted酸位的可接触性还缺少系统和深入的认识.本文选取了几种代表性模板剂,分别在碱性和含氟体系下制备了系列FER分子筛样品,利用Rietveld精修和模拟退火算法,在原子水平揭示了模板剂种类以及合成介质变化对Al原子在不同T位分布的影响,并结合二甲醚羰基化反应进行了结构和性能的关联.首先选取不同尺寸大小的环状胺(环己胺、哌啶、吡啶、吡咯烷)和链状胺(乙二胺)合成了具有相似形貌、孔结构、酸密度的系列FER分子筛样品.以CHA-Na-FER为例,PXRD精修结果显示,Na+(平衡35％的骨架负电荷)分布在10元环孔道中与O1形成氢键,质子化的环己胺分布在"ferrierite"笼中,并且环己胺上的N与O3形成氢键.这说明与O1相连的T3位以及与O3相连的T1位都有可能是Al富集的位置.为了进一步验证该结论,本文还精修了吸附探针分子吡啶的样品CHA-Na-FER-Py-60h.原粉以及吸附吡啶样品的精修结果表明,T1位和T3位是样品中铝富集的位置.随后,运用相同方法研究了Py-Na-FER,PI-Na-FER,En-Na-FER和Pyrr-HF-FER样品中的Al落位,发现T1/T3位均是样品中Al富集的位置.此外,理论计算结果表明T1/T3位上Al原子的取代能较低,说明Al优先取代T1/T3位上的Si,这与精修结果相一致.前期理论模拟结果表明,FER分子筛中T2-O5和T4-O7位点的CO插入反应能垒较低,是二甲醚羰基化反应的活性位.本文吡啶吸附实验、热重分析以及PXRD精修结果表明,FER分子筛中大部分Al富集在T1/T3位,与T2/T4位相关的Br?nsted酸约占18％～30％.最后,对各样品进行了二甲醚羰基化反应评价,结果显示PI-Na-FER,Py-Na-FER,En-Na-FER和CHA-Na-FER催化剂的乙酸甲酯生成速率相近,约为0.10 mol/(mol H+?h).Pyrr-HF-FER催化剂的乙酸甲酯生成速率最高,可达到0.16 mol/(mol H+?h),这可能是由于Pyrr-HF-FER催化剂具有更多T2/T4位相关的Br?nsted酸.虽然Pyrr-HF-FER催化剂的乙酸甲酯生成速率较其他四个催化剂有一定提升,但其仍远低于MOR分子筛上乙酸甲酯生成速率(0.40 mol/(mol H+·h)).综上,有机模板剂的选择与合成介质的改变对FER分子筛中Al分布的调控作用是有限的,即Al原子总是优先分布于T1/T3位.而与T1和T3位相关的Br?nsted酸位不是二甲醚羰基化反应的活性位点.因此与MOR相比,FER分子筛在二甲醚羰基化反应中表现出较低的催化活性.     

微流控纸芯片在环境分析检测中的应用

近年来,微流控纸芯片由于低成本、便携化、检测快等优点,在需要快速检测的环境分析领域中展现出了巨大的应用前景。该综述从微流控纸芯片在环境分析中的应用角度,总结归纳了微流控纸芯片在环境分析中的最新研究进展,并展望了其在未来的发展趋势与挑战。论文内容引用150余篇源于科学引文索引(SCI)与中文核心期刊中的相关论文。该综述包括微流控纸芯片在环境检测中的优势与制造方法介绍;电化学法、荧光法、比色法、表面增强拉曼法、集成传感法等基于纸芯片的先进分析方法介绍;根据环境分析目标物种类,如重金属离子、营养盐、农药、微生物、抗生素以及其他污染物等,对纸芯片的最新应用现状进行了举例评述;基于微流控纸芯片的环境分析研究的未来发展趋势和前景展望。通过综述近期相关研究,表明微流控纸芯片从提出至今虽然只有十几年的发展历程,但其在环境分析研究中的发展却十分迅速。微流控纸芯片可以根据不同的环境条件和检测要求灵活选择制作与分析方法,实现最佳的检测效果。但是微流控纸芯片也面临一些挑战,如纸张机械强度不足、流体控制程度不佳等问题。这些问题指出了微流控纸芯片在环境检测领域的发展趋势,相信随着不断深入的研究,纸芯片将会在未来的环境分析中发挥更大作用。     

A real-time monitoring approach for bivariate event data

Early detection of changes in the frequency of events is an important task in many fields, such as disease surveillance, monitoring of high-quality processes, reliability monitoring, and public health. This article focuses on detecting changes in multivariate event data by monitoring the time-between-events (TBE). Existing multivariate TBE charts are limited because they only signal after an event occurred for each of the individual processes. This results in delays (i.e., long time-to-signal), especially when we are interested in detecting a change in one or a few processes with different rates. We propose a bivariate TBE chart, which can signal in real-time. We derive analytical expressions for the control limits and average time-to-signal performance, conduct a performance evaluation and compare our chart to an existing method. Our findings showed that our method is an effective approach for monitoring bivariate TBE data and has better detection ability than the existing method under transient shifts and is more generally applicable. A significant benefit of our method is that it signals in real-time and that the control limits are based on analytical expressions. The proposed method is implemented on two real-life datasets from reliability and health surveillance.     

A review of Bayesian dynamic forecasting models: Applications in marketing

We briefly review the main developments of Bayesian dynamic models. The emphasis is on marketing applications. Typical examples in this area are discussed. The concepts of monitoring and intervention are carefully explained with illustrative examples and open source computational routines. We avoid algebraic developments and instead use graphical examples to illustrate theoretical aspects. Two real-world problems using Bayesian dynamic models are discussed. Finally, we describe recent developments and alternative proposals to formally address the dependence when dealing with the modeling of multiple time series.