梧桐絮制备多孔纤维碳材料及其在超级电容器中的应用

以法国梧桐絮为原料、KOH为活化剂,通过碳化制备多孔纤维碳材料,并在此基础上组装了超级电容器器件。通过SEM、EDS、XRD、Raman、FTIR、BET等对制备的多孔纤维碳材料进行表征,并研究了多孔纤维碳材料电极的电化学性能。结果表明:在扫描速率为50 mV·s~(-1)时,800℃下碳化制备的梧桐絮多孔纤维碳材料电极的比电容可以达到236 F·g~(-1);所组装电极在循环10 000次后,比电容仍维持原来的99.8%,表明梧桐絮多孔纤维碳材料在超级电容器领域有巨大的应用潜力。     

Detecting Cysteine in Bioimaging with a Near-Infrared Probe Based on a Novel Fluorescence Quenching Mechanism

Near-infrared (NIR) fluorescent probes are very significant for detecting cysteine in biological systems. Herein, we report a highly selective and sensitive NIR turn-on fluorescent probe (BDP-NIR) based on BODIPY with large Stokes shift (105 nm) for detecting Cys. We clarified the sensing mechanism based on the different thiol-induced S_NAr substitution/rearrangement reaction of the probe with cysteine and homocysteine/glutathione, which leads to the corresponding amino- and thiol-BODIPY dyes with distinct photophysical properties. Moreover, a novel mechanism of fluorescence quenching was demonstrated by density functional theory calculation. The reason for the fluorescence quenching of the probe might be intersystem crossing (from singlet to triplet excited state). Moreover, BDP-NIR had a high linear dynamic range of 0–500 μM, which was promising for detecting cysteine quantificationally. Significantly, BDP-NIR was capable of sensing endogenous cysteine in living cells and in vivo.     

Headspace fingerprinting approach to identify the major pathway influencing volatile patterns of vinasse-cured duck processed by high pressure,as well as its impact on physicochemical and sensory attributes

As a decisive attribute, flavour could be influenced by HP treatments through multiple physical and chemical pathways within the high pressure (HP)-assisted meat curing process. This investigation aimed to identify the major pathway influencing volatile flavour patterns of two representative vinasse-cured duck (VCD) products with HP treatments (150–300 MPa/15 min), including wet and dry types, by employing headspace fingerprinting as an untargeted approach. Results suggested that HP treatments greatly lowered moisture contents and increased Warner-Bratzler shear force and thiobarbituric acid reactive substances of the cured samples. According to multivariate models, the volatile flavour patterns of the HP-processed VCD could be clearly separated from the unprocessed samples, but the VCD pressurised at different intensities represented similar volatile fingerprinting, which was validated by e-nose analysis. The discriminant analysis (OPLS-DA) model outlined vinasse-derived ethanol, acetic acid, 3-methyl-1-butanol, 2-methyl-1-butanol, phenethyl alcohol and 2-methyl-3-octanone as the major discriminant aromas across the unpressurised and pressurised samples.     

PAN纤维共聚单体作用机理的光电离质谱研究

本工作以丙烯腈/衣康酸（IA）二元共聚原丝以及丙烯腈/IA/丙烯酸甲酯（MA）三元共聚原丝为研究对象，利用热重分析仪（TG）和热解-同步辐射真空紫外光电离质谱（Py-SVUV-PIMS）对其热稳定化过程进行研究。TG结果表明，氮气气氛下，二元共聚原丝（PAN/IA）和三元共聚原丝（PAN/IA/MA）分别呈现三阶段和两阶段的热分解过程，其中PAN/IA的第一和第二阶段均对应PAN线型分子链的断裂，但前者是由自由基环化反应放热引发的，后者则是由正常温度下的热分解所致，而单体MA的加入显著抑制了自由基环化反应，使得PAN原丝的热稳定化能够以单体IA诱导的离子型环化反应为主较平缓地进行，相应的热失重过程也由两阶段转变为了单阶段。Py-SVUV-MS的实验结果表明，两种共聚PAN原丝在程序升温过程中会生成包括含氮小分子、丙烯腈单体及低聚物、成环化合物在内的三类主要热解产物，对比各类产物的生成趋势和产量，推断单体MA通过降低PAN结构的规整度，使其无定形化，从而增加环化反应的引发点，促进PAN原丝向稳定的预氧丝转变，同时由典型热解产物——甲基丙烯腈的生成路径可知，MA本身并不参与PAN大分子的环化反应，属于中性共聚单体。空气气氛下，CO₂的产量差异也间接证明了MA单体能够有效提升PAN纤维的固碳能力，采用三元共聚方法制得的PAN纤维热稳定性能更佳。     

直纺亮光抗倒伏波浪扁平涤纶FDY的开发

探讨了直纺83 dtex/114 f波浪扁平涤纶全拉伸丝(FDY)的工艺制备过程。试验证明,在熔体输送温度276~282℃,纺丝温度286~290℃,喷丝板规格DIO φ104 mm-114孔、"王"字形,环吹风压10~15 Pa,含油率1.1%~1.2%,卷绕速度3 800~4 200 m/min的工艺参数下纺制83 dtex/114 f波浪扁平涤纶FDY时,生产稳定,满卷率高,外观情况良好,袜带均匀亮丽,可批量生产。此新产品可用于制作高档布艺沙发表层面料,具有抗倒伏、色彩艳丽等功效。     

可调偏迈步式胶带自移机尾的研究

随着掘进工作面自动化程度的提高,掘进巷道速度也在日益加快,而现有的顺槽皮带机机尾移动缓慢且移动时工作量大,需要两三人配合操作,存在一定的安全隐患。针对以上问题,研发可调偏迈步式胶带自移机尾,具有与悬挂二运皮带转载机搭接行程长,可以迈步式前进,自动调偏等功能,同时,可以降低工人的劳动强度,加快巷道掘进速度。     

视频侦查中人像智能分析应用及算法优化

人像智能分析指的是对视频或录像中的人像进行结构化和可视化分析,对目标人物进行性别、年龄、发型等特征的智能识别,这项技术在视频侦查中有极高的应用价值。人像识别早期的算法是通过人工提取特征,通过学习低级视觉特征来针对不同属性进行分类学习,这种基于传统方法的模型表现常常不尽如人意。在计算机视觉领域,通过海量图像数据学习的神经网络比传统方法有更丰富的信息量和特征可以被提取。文章尝试通过深度学习技术训练神经网络模型对行人进行检测和识别,对于衣着不同的行人进行智能识别,具有更好的鲁棒性,提升了视频人像识别的准确率,拓展了人工智能技术在身份识别领域的应用。     

Visible light-activated degradation of microcystin-LR by ultrathin g-C3N4 nanosheets-based heterojunction photocatalyst

Microcystins (MCs) is a harmful toxin generated by blue-green algae in water, which has seriously threatened the ecological safety of water and human body. It is urgent to develop new catalysts and techniques for the degradation of MCs. A feasible electrostatic self-assembly method was carried out to synthesize BiVO₄/g-C₃N₄ heterojunction photocatalyst with highly efficient photocatalytic ability, where BiVO₄ nanoplates with exposed {010} facets anchored to the g-C₃N₄ ultrathin nanosheets. The morphology and microstructure of the heterojunction photocatalysts were identified by XRD, SEM, TEM, XPS, and BET. The g-C₃N₄ nanosheets have huge surface area over 200 m²/g and abundant mesoporous ranging from 2-20 nm, which provides tremendous contact area for BiVO₄ nanoplates. Meanwhile, the introduction of BiVO₄ led to red-shift of the absorption spectrum of photocatalyst, which was characterized by UV-vis diffuse reflection spectroscopy (DRS). Compared with pure BiVO₄ and g-C₃N₄, the BiVO₄/g-C₃N₄ heterojunction shows a drastically enhanced photocatalytic activity in degradation of microcystin-LR (MC-LR) in water. The MC-LR could be removed within 15 minutes under the optimal ratio of BiVO₄/g-C₃N₄. The outstanding performance of the photocatalyst is attributed to synergetic effect of interface Z-scheme heterojunction and high active facets {010} of BiVO₄ nanoplates, which provides an efficient transfer pathway to separate photoinduced carriers meanwhile endows the photocatalysts with strong redox ability.     

丙烷脱沥青装置调合前沥青的综合利用

在丙烷脱沥青装置加热炉试烧装置自产调合前沥青,通过观察油枪雾化沥青的能力、火嘴的燃烧情况以及燃烧后的烟尘状况,筛选出适合沥青燃烧的油枪,最终实现调合前沥青直接做加热炉燃料、减少重油出厂量的目的。     

析湿工况下翅片管式换热器表面粉尘沉积过程的数值模型

空调器采用翅片管式换热器作为蒸发器，在制冷工况下换热器表面发生析湿及粉尘沉积，导致性能衰减。建立湿翅片表面粉尘颗粒物沉积过程的数学模型，模拟冷凝水捕集颗粒物以及湿积灰层黏附颗粒物的过程。被冷凝水捕集的颗粒物数量等于运动轨迹与水表面轮廓会出现相交的入射颗粒物的数量；后续的入射颗粒物与湿积灰层碰撞时，部分入射颗粒物会发生沉积且部分被碰撞的已沉积湿颗粒物会发生移除，这两部分的颗粒物数量相减即为被湿积灰层黏附的颗粒物数量。模拟与实验结果的对比表明，预测的湿积灰层形状与实验照片的吻合度较好，预测的单位面积颗粒物沉积质量与91%的实验数据之间的误差在±20%之间，平均误差为11.8%。