Excess copper induced physiological and proteomic changes in germinating rice seeds

Copper is an essential micronutrient for plants. Present at a high concentration in soil, copper is also regarded as a major toxicant to plant cells due to its potential inhibitory effects against many physiological and biochemical processes. The interference of germination-related proteins by heavy metals has not been well documented at the proteomic level. In the current study, physiological, biochemical and proteomic changes of germinating rice seeds were investigated under copper stress. Germination rate, shoot elongation, plant biomass, and water content were decreased, whereas accumulation of copper and TBARS content in seeds were increased significantly with increasing copper concentrations from 0.2mM to 1.5mM followed by germination. The SDS-PAGE showed the preliminary changes in the polypeptides patterns under copper stress. Protein profiles analyzed by two-dimensional electrophoresis (2-DE) revealed that 25 protein spots were differentially expressed in copper-treated samples. Among them, 18 protein spots were up-regulated and 7 protein spots were down-regulated. These differentially displayed proteins were identified by MALDI-TOF mass spectrometry. The up-regulation of some antioxidant and stress-related proteins such as glyoxalase I, peroxiredoxin, aldose reductase, and some regulatory proteins such as DnaK-type molecular chaperone, UlpI protease, and receptor-like kinase clearly indicated that excess copper generates oxidative stress that might be disruptive to other important metabolic processes. Moreover, down-regulation of key metabolic enzymes like alpha-amylase or enolase revealed that the inhibition of seed germinations after exposure to excess copper not only affects starvation in water uptake by seeds but also results in failure in the reserve mobilization processes. These results indicate a good correlation between the physiological and biochemical changes in germinating rice seeds exposed to excess copper.     

驾驶员自身因素对限速标志识别能力的影响分析

以研究城市道路限速标志下驾驶行为的变化为主要目的,基于认知心理学知识,采用实地观测和问卷调查等手段,研究了驾驶员经过限速标志时的心理及反应过程。依据认知工效学中的注意和记忆等机制对驾驶员的限速标志认知过程进行了解析;从驾驶员自身角度分析了影响驾驶员识别限速标志的主要因素;利用因子分析方法对调查数据和调查项目进行统计分析;最终提取了影响驾驶员识别限速标志的6个自身因素为主因子,作为限速标志对驾驶行为影响较大的因素。该研究结果可为城市道路限速标志的设计与设置提供科学依据。     

基于虚拟技术的三峡库区应急救援系统

三峡大坝蓄水后水质和生态环境安全的威胁加大。笔者基于对库区蓄水后水质状况的分析,将虚拟技术应用到三峡库区应急救援系统的设计中,提出了基于虚拟技术的应急响应流程,建立系统数据库和实时监控及预警体系,并以嘉陵江重庆段事故后污染物质的迁移扩散为例,应用数值模拟软件实现电子模拟演习,加强应急预案的建设和应急反应系统实战能力的提高。该系统通过建立应急救援数据库和实时监测及预警机制,提高库区应急响应效率,强化库区事故防范能力,并运用数值模拟方法为系统提供形象直观的电子模拟演习工具,为库区突发性水污染事故的处理提供强有力的决策支持。     

High performance of catalytic sheet filters of V2O5-WO3/TiO2 for NOx reduction

Environmental Science and Pollution Research - Nitrogen oxide (NOx) emissions in fuel from the stationary as well as from mobile sources primarily from power stations, industrial heaters,...     

铅和铜离子在纳米羟基磷灰石上的竞争吸附动力学研究

通过吸附动力学试验研究了Pb2+和Cu2+在纳米羟基磷灰石(Nano-HAP)上的竞争吸附动力学过程,比较了吸附前后Nano-HAP的Zeta电位以及X射线衍射图谱等,对Pb2+和Cu2+在Nano-HAP上的竞争吸附机制进行了探讨.结果表明,单一铅、铜离子存在时,Pb2+较Cu2+在Nano-HAP上的吸附量要高;当铅、铜这2种离子共存时,Pb2+和Cu2+在Nano-HAP表面发生竞争吸附,铜的吸附量增加,而铅的吸附量下降.结合X射线衍射图谱和动力学反应中Ca2+的溶出量,推测出Cu2+在Nano-HAP上的吸附以静电吸附和表面络合为主,而Pb2+在Nano-HAP上的吸附以溶解-沉淀反应为主,Pb2+、Cu2+在Nano-HAP上的吸附量与Ca2+的溶出量线性关系显著(R2为0.861～0.954).分别用一级、二级动力学方程、抛物线方程、Elovich方程、双常数方程和LJ方程对Pb2+和Cu2+在Nano-HAP上的吸附动力学过程进行了拟合,其中二级动力学方程和双常数方程拟合结果较好,说明Pb2+和Cu2+在Nano-HAP表面的动力学吸附反应是一个化学反应和物理吸附均占一定比例的复杂的吸附过程.     

基于葵花影像中国地区夜间云识别方法研究

目的实现适用于中国地区的夜间云识别。方法根据红外波段云与非云的亮温差异,采用亮温阈值法研究适用于中国地区的夜间云识别算法。中国地形高程差异明显,其地表辐射能量也存在较大差异,影响云检测结果精度,因而提出基于三个高程阶梯的云识别方法。由于云检测结果验证缺少可见光波段,使用MODIS云数据产品和雷达数据CALIPSO分别做定性和定量验证。结果云检测区域与MODIS的MYD06云产品基本一致,CALIPSO雷达数据四个月的平均验证结果为:非云区域的提取精度约77.86%,云区域的提取精度为79.67%,将有云区域错提为非云的误差率为2.76%,而将非云区域误提取为有云区域的错误率为12.31%。结论利用日本静止气象卫星Himawari-8影像数据,根据阈值法提出的基于三个高程阶梯的云检测算法,较好地实现了适用于中国地区的夜间云识别。     

Facile synthesis of graphitic carbon-nitride supported antimony-doped tin oxide nanocomposite and its application for the adsorption of volatile organic compounds

Antimony-doped tin oxide(ATO) nanoparticles with an average size of ～ 6 nm were prepared by co-precipitation and subsequent heat treatment. Graphitic carbon nitride(g-CN)/ATO hybrid nanocomposite was designed by the combination of thermally synthesized g-CN and ATO nanoparticles by ultrasonication. The materials were characterized using N2 adsorption/desorption(BET), X-ray diffraction(XRD), scanning electron microscopy(SEM), energy dispersive spectroscopy(EDS), transmission electron microscopy(TEM) and Fourier transform infrared spectroscopy(FTIR). A mixture of five volatile organic compounds(VOCs, chloroform, benzene, toluene, xylene and styrene) was used to compare the adsorption capacity of the samples. The adsorption capacity of ATO nanoparticles was improved by the addition of g-CN. Experimental data showed that, among the five VOCs,chloroform was the least adsorbed, regardless of the samples. The g-CN/ATO showed nearly three times greater adsorption capacity for the VOC mixture than pure ATO. The unchanged efficiency of VOC adsorption during cyclic use demonstrated the completely reversible adsorption and desorption behavior of the nanocomposite at room conditions. This economically and environmentally friendly material can be a practical solution for outdoor and indoor VOC removal.     

Molecular approaches for the detection and monitoring of microbial communities in bioaerosols: A review

Bioaerosols significantly affect atmospheric processes while they undergo long-range vertical and horizontal transport and influence atmospheric chemistry and physics and climate change. Accumulating evidence suggests that exposure to bioaerosols may cause adverse health effects, including severe disease. Studies of bioaerosols have primarily focused on their chemical composition and largely neglected their biological composition and the negative effects of biological composition on ecosystems and human health. Here, current molecular methods for the identification, quantification, and distribution of bioaerosol agents are reviewed. Modern developments in environmental microbiology technology would be favorable in elucidation of microbial temporal and spatial distribution in the atmosphere at high resolution. In addition, these provide additional supports for growing evidence that microbial diversity or composition in the bioaerosol is an indispensable environmental aspect linking with public health.     

接种混合功能细菌降低黑麦草体内菲和芘污染的机理初探

本研究通过批量降解试验,探讨了功能菌株Massilia sp. Pn2和Mycobacterium flavescens 033降解菲和芘的基本动力学过程和规律;重点采用温室盆栽试验,研究了接种混合菌株对黑麦草体内PAHs含量及多酚氧化酶(PPO)和过氧化物酶(POD)活性的影响.结果表明,菌株Pn2和033可以分别利用菲和芘作为碳源和能源进行生长;在30℃、pH=7.0条件下,菌株Pn2和033对100 mg·L~(-1)菲和50 mg·L~(-1)芘的降解率分别高达99.7%和98.3%,降解半衰期分别为0.34 d和0.95 d(R~20.98).与接种灭活混合菌株对比,接种混合菌株Pn2和033显著地降低了黑麦草体内菲和芘的含量和积累量(p0.05),并阻控菲和芘由黑麦草根向茎叶转移.同时,接种混合菌株Pn2和033显著地提高了黑麦草根和茎叶中POD(p0.05)活性,该酶能够促进黑麦草体内超氧自由基的清除,并保护细胞免受PAHs损伤,进而影响PAHs在黑麦草体内的代谢过程.研究结果为阐明接种混合功能菌降低植物体内PAHs污染的作用机理提供了一定的参考价值.     

瓦斯浓度对爆炸传播影响的数值模拟研究

以DN700mm管道为原型,应用连续相计算方法对不同浓度瓦斯爆炸火焰、压力波传播进行数值模拟.从中可以看出,爆源附近火焰传播速度较小,上升到某一峰值后又衰减;瓦斯浓度对火焰传播速度有比较大的影响;爆源点的最大压力值并不是整个过程的最大值;瓦斯浓度对爆炸压力峰值影响较大.