隔膜对双电层电容器和混合型电池-超级电容器的电化学性能的影响

隔膜是双电层电容器和混合型电池-超级电容器等电化学储能器件的重要组成元件.本文采用1 mol?L-1四乙基四氟硼酸铵的丙烯碳酸酯电解液制备了基于活性炭的扣式双电层电容器,并采用1 mol?L-1六氟磷酸锂锂离子电解液制备了(LiNi0.5Co0.2Mn0.3O2+活性炭)/石墨体系的混合型电池-超级电容器.研究了不同类型隔膜的物理化学性能,以及其对双电层电容器和混合型电池-超级电容器的电化学性能的影响.四种隔膜分别是无纺布聚丙烯毡、多孔聚丙烯薄膜、Al2O3涂层的聚丙烯薄膜和纤维素纸隔膜.进行了表面形貌、差示扫描量热、电解液吸液量和表观接触角测试表征.电化学测试表明,采用纤维素隔膜的双电层电容器具有最高的比电容和更优的倍率性能,电容器的自放电性能差别不大.而对于混合型电池-超级电容器,采用聚丙烯薄膜和无纺布聚丙烯毡隔膜器件的比容量比其它器件约高20%,且采用纤维素隔膜的器件自放电率最高.     

Vulcanization kinetics of graphene/styrene butadiene rubber nanocomposites

This paper presents the influence of graphene on the vulcanization kinetics of styrene butadiene rubber （SBR） with dicumyl peroxide. A curemeter and a differential scanning calorimeter were used to investigate the cure kinetics, from which the kinetic parameters and apparent activation energy were obtained. It turns out that with increasing graphene loading, the induction period of the vulcanization process of SBR is remarkably reduced at low graphene loading and then levels off; on the other hand, the optimum cure time shows a monotonous decrease. As a result, the vulcanization rate is suppressed at first and then accelerated, and the corresponding activation energy increases slightly at first and then decreases. Upon adding graphene, the crosslinking density of the nanocomposites increases, because graphene takes part in the vulcanization process.     

基于上转换纳米粒子的低损伤神经界面技术

Optogenetics is a neuromodulation technology that combines light control technology with genetic technology, thus allowing the selective activation and inhibition of the electrical activity in specific types of neurons with millisecond time resolution. Over the past several years, optogenetics has become a powerful tool for understanding the organization and functions of neural circuits, and it holds great promise to treat neurological disorders. To date, the excitation wavelengths of commonly employed opsins in optogenetics are located in the visible spectrum. This poses a serious limitation for neural activity regulation because the intense absorption and scattering of visible light by tissues lead to the loss of excitation light energy and also cause tissue heating. To regulate the activity of neurons in deep brain regions, it is necessary to implant optical fibers or optoelectronic devices into target brain areas, which however can induce severe tissue damage. Non- or minimally-invasive remote control technologies that can manipulate neural activity have been highly desirable in neuroscience research. Upconversion nanoparticles (UCNPs) can emit light with a short wavelength and high frequency upon excitation by light with a long wavelength and low frequency. Therefore, UCNPs can convert low-frequency near-infrared (NIR) light into high-frequency visible light for the activation of light-sensitive proteins, thus indirectly realizing the NIR optogenetic system. Because NIR light has a large tissue penetration depth, UCNP-mediated optogenetics has attracted significant interest for deep-tissue neuromodulation. However, in UCNP-mediated in vivo optogenetic experiments, as the up-conversion efficiency of UCNPs is low, it is generally necessary to apply high-power NIR light to obtain up-converted fluorescence with energy high enough to activate a photosensitive protein. High-power NIR light can cause thermal damage to tissues, which seriously restricts the applications of UCNPs in optogenetic technology. Therefore, the exploration of strategies to increase the up-conversion efficiency, fluorescence intensity, and biocompatibility of UCNPs is of great significance to their wide applications in optogenetic systems. This review summarizes recent developments and challenges in UCNP-mediated optogenetics for deep-brain neuromodulation. We firstly discuss the correspondence between the parameters of UCNPs and employed opsins in optogenetic experiments, which mainly include excitation wavelengths, emission wavelengths, and luminescent lifetimes. Thereafter, we introduce the methods to enhance the conversion efficiency of UCNPs, including optimizing the structure of UCNPs and modifying the organic dyes in UCNPs. In addition, we also discuss the future opportunities in combining UCNP-mediated optogenetics with flexible microelectrode technology for the long-term detection and regulation of neural activity in the case of minimal injury.     

基于S-型光催化机制CuInS2内嵌中空凹面氮化碳光催化分解H2O制H2（英文）

光催化解离H2O合成H2是绿色可再生的太阳能光子能量转换策略之一.目前,增强光催化材料对太阳能光子的捕获并将之有效利用仍然是一个具有挑战性的课题.光催化解离H2O反应包括三个过程:太阳能光子能量促使光生电子在半导体材料带隙中的跃迁;光生电子定向传输;光生电子与吸附在半导体材料表面的H2O分子发生反应.第一过程需要强的太阳光子捕获能力以产生足够的光生载流子;第二、三过程在动力学上反映了光生载流子在各个竞争过程中能否有效利用的问题,如光生电子迁移与H2O作用的速度很慢(~μs),而电子与空穴的复合速度快(~ps).目前研究者很难协调半导体材料的电学和光学特性以满足光生载流子在热力学和动力学两方面的要求.g-C3N4是由C、N原子通过sp2杂化组成的二维π共轭体系.当g-C3N4结构偏离二维平面时,共轭体系的π电子由凹面迁移到凸面,促使凹、凸面形成表观电势差,有利于电子的定向传输.本文通过卷曲sp2杂化离域均三嗪体系偏离二维平面,得到空心凹面g-C3N4结构,便捷地优化了半导体的电子结构.将CuInS2嵌入生长于空心g-C3N4的凹面,所构成的半导体光催化材料CuInS2@C3N4展现了增强的光捕获能力,以及电子定向传输转移能力.结合XPS、光电流测试、电化学阻抗谱、稳态及瞬态荧光等表征手段揭示空心g-C3N4凹、凸面表观电势差驱动光生电子以S-型光催化作用机制从CuInS2的Cu 2p向g-C3N4的N 1s的路径转移.因而,所构建的CuInS2@C3N4在可见光激发下产氢效率提高到373μmol·h^?1·g^?1,其产氢效率分别是二维平面g-C3N4负载1 wt%Pt和3 wt%Pd效率的1.57倍和1.35倍,表明空心g-C3N4凹、凸面电势差可以显著地促进光生电子分离和利用率,从而提高光催化解离水制氢效率.本文可增强g-C3N4的可持续太阳能转换性能,也适用于其他半导体材料以替代贵金属光催化体系,降低光催化产氢技术成本,促进光催化技术的应用.     

二乙基二烯丙基氯化铵均聚及其与丙烯酰胺或丙烯酸共聚动力学研究

采用膨胀计法研究了以过硫酸铵为引发剂,二乙基二烯丙基氯化铵(DEDAAC)在水溶液中的均聚及其与丙烯酰胺(AM)和丙烯酸(AA)共聚动力学,测定了相应的聚合表观活化能;采用元素分析法测定了DEDAAC分别与AM和AA在低转化率下共聚物的组成,并采用氯离子选择性电极法测定了DEDAAC-AM共聚物中的氯离子含量,按Kelen-Tudos方法求得了相应的竞聚率.结果表明,DEDAAC均聚速率方程为RP=k[M]0.99[I]0.76,表观活化能Ea=77.00kJ/mol,说明链终止为单基终止和双基终止并存,引发过程与单体浓度无关;DEDAAC与AM在摩尔比为4∶1时,共聚动力学方程为RP=[M]2.53[I]0.90,表观活化能Ea=67.06kJ/mol,单体竞聚率为rDE=0.31±0.02、rAM=5.27±0.53;DEDAAC与AA在摩尔比为4∶1时,共聚动力学方程为RP=k[M]2.94[I]0.83,表观活化能Ea=70.07kJ/mol,竞聚率为rDE=0.28±0.03、rAA=5.15±0.28;DEDAAC与AM和AA等共聚为非理想共聚,得到的产物均为无规共聚物.     

流动注射-分光光度法用于固-液吸附体系表观吸附速率常数测定

利用流动注射分析技术具有定时、定量取样、耗样量少、系统稳定性高等特点,将流动注射-光度检测法应用于固-液吸附体系的动力学研究中,结合固-液界面吸附动力学方程,测定固-液吸附体系表观吸附速率常数,作为一种新的动力学研究手段和方法,应用于物理化学的实验教学中。     

湖北钉螺指名亚种一输入性扩散事件的群体遗传学

2017年南昌市滨江公园赣江江滩发现大面积钉螺滋生,此为市区内首次。为追溯该种群的输入来源,本研究根据湖北钉螺采样点的地理分布进行分组,测定湖北钉螺线粒体12S rRNA、16S rRNA及CO1基因,并结合GenBank数据库中已上传序列,统计分析遗传分化系数（Fst）、基因流（Nm）等群体遗传学参数,构建单倍型网络图。基于CO1基因及12S rRNA、16S rRNA、CO1三者联合基因的结果表明来自滨江公园的湖北钉螺种群与来自武汉的湖北钉螺种群遗传背景相似;但和12S rRNA、16S rRNA基因单独分析的结果存在差异可能由于其组内样本量较少导致。各基因构建的单倍型网络图均显示:湖北钉螺滨江公园种群与武汉种群的单倍型间有直接演化关系。本研究从分子种群遗传学层面初步证实了"南昌市滨江公园输入性湖北钉螺群体可能由移栽自武汉市黄陂区的景观芦苇携带而来"的流行病学调查结果,同时表明线粒体CO1基因能够提供较丰富的信息以追溯湖北钉螺未知群体的来源。     

快凝Pd82Si18合金原子团簇的演化特性及遗传机制

采用分子动力学(MD)模拟计算,对Pd82Si18合金快凝过程中基本原子团簇的遗传特性、演化趋势和结构稳定性进行了研究.团簇类型指数法(CTIM)分析表明:非晶固体中Si原子为中心的(102/14418/1551)双帽阿基米德反棱柱(BSAP)团簇数目占据优势.快凝过程中,BSAP结构团簇具有最大的遗传分数,并且其他以Si原子为中心的Kasper团簇大多都会向BSAP结构团簇转变.通过对Si原子为中心的Kasper基本团簇电子性质第一性原理计算发现,体系中BSAP团簇的结合能最低,结构稳定性较高,与分子动力学计算结果一致.     

PSF/TiO2杂化超滤膜形成过程的热力学和动力学研究

采用溶胶-凝胶法制备了不同纳米TiO₂含量的聚砜(PSF)/TiO₂杂化超滤膜, 研究了TiO₂浓度对聚砜铸膜液流变学及热力学性质的影响, 构建了计算成膜过程中表观扩散系数(D_a)的新方法, 求出不同TiO₂浓度及温度下的D_a值, 进而剖析了铸膜液流变学和热力学性质的变化对成膜动力学的影响. 并通过扫描电镜观察、杂化膜孔隙率和超滤性能的测试考察了表观扩散系数与膜结构和性能的关系. 结果表明, 加入TiO₂溶胶的PSF铸膜液由牛顿流体转变为非牛顿流体, 其粘度随TiO₂浓度增大而增大. TiO₂的加入减小了铸膜液对非溶剂的容纳能力, 加速铸膜液的液-液相分离, 同时TiO₂引起的热力学促进作用和流变学阻碍作用相互竞争, 共同影响D_a的变化. 实验得出, D_a随温度升高而增大, 随TiO₂浓度的增大有先增大后减小的趋势. 表观扩散系数D_a与膜的结构和性能具有很好的相关性并能直观地描述整个成膜过程.     

四氯化锆四元催化体系中乙烯齐聚反应的动力学研究

研究了四氧化锆作主催化剂的四元催化体系中，乙烯压力、催化剂浓度和温度对乙烯齐聚反应的影响．测定了稳定态下乙烯齐聚反应的宏观动力学方程和表观活化能．