微波技术在中药研究领域中的应用

系统查阅有关微波技术在中药提取、中药炮制、中药干燥灭菌等方面的应用文献资料,认为微波提取技术具有快速、高效、安全、有效成分得率高、节能等特点;微波能杀灭各种微生物,可用于中药材及中成药的干燥和灭菌;微波技术易使炮制工艺自动化,处理中药干净、简便,可保证中药质量,提高炮制功效.推广微波技术在中药领域的应用具有很大的意义.     

环境分析试样预处理的新方法——微波萃取法

本文对微波萃取法这一新的试样预处理方法进行了简要综述，阐述了微波萃取法的特点、微波试样制备系统及微波萃取法的研究进展，展望了该方法的发展前景。     

二甲基硫醚的真空紫外光电子谱

本文测定了二甲基硫醚（ＤＭＳ）的真空紫外光电子能谱（ＵＰＳ），实验测得的ＤＭＳ的各Ｉｖ（ｃＶ）值与Ｋｉｍｕｒａ的结果一致。８．７９，１１．２９ｅＶ峰指认为硫原子孤对电子ｎｇ，ｎｓ的电子电离，１２．６２ｅＶ峰相应于σｃｓ价电子电离，１４．０３－１５．４２ｅＶ的四个峰相应于πＣＨ３－，πＣＨ３＋电子电离，紫外光辐照影响ＤＭＳ的ＵＰＳ，显示在πＣＨ３有变化。微波放电时ＤＭＳ的ＵＰＳ有明显的影响，有许多新     

微波-化学方法除去原煤无机硫的穆斯堡尔谱研究

采用~(17)Fe穆斯堡尔谱学方法研究原煤中无机硫的形态和微波-化学方法脱硫的机理和规律.结果表明,煤中无机硫主要以黄铁矿形式存在.低铁硫酸盐则是原煤风化程度的一种表征;微波选择性介质加热,导致煤中黄铁矿与煤组分进行原位热化学反应,产生能溶于稀盐酸的铁硫化合物Fe_(1-x)S_x(0相似文献   

密封增压微波消化火焰原子吸收测定牡蛎中重金属

本文采用全聚四氟乙烯密封增压微波消化法消解牡蛎样品，火焰原子吸收法测定其重金属铜、锌、镉、锰、镍、铬、铅的含量，并与传统的混酸消化法和干灰化法的结果相比较。实验证明，方法的精密度、准确度、最低检出限都能很好地满足测定要求。方法简便快捷，节省能源和试剂，有较高的实用价值。     

微波消解平台石墨炉原子吸收法测定活性污泥中重金属

以铜和铅为例建立了一种微波消解样品,平台石墨炉原子吸收法测定活性污泥中重金属含量的方法,该方法的样品加标回收率Cu为91 0%～97 3%,Pb为93 1%～98 0%,相对标准偏差RSD(%):Cu为1 38%～1 61%,Pb为1 28%～1 94%,检验限Cu为0 0052ng g,Pb为0 0073ng g,该方法应用于活性污泥中重金属的分析,实验所需时间短,取样量少,空白值低,实验过程中样品损失小,准确度和灵敏度高,结果令人满意。     

共价三嗪骨架活化过一硫酸盐降解磺胺甲恶唑

通过微波合成技术制备磁性共价三嗪骨架材料（MCTF）.利用SEM、TEM和FTIR对其形貌特征和表面基团进行表征分析;测定分析其微观介孔结构与饱和磁化强度;并将合成的MCTF用于活化过一硫酸盐（PMS）降解磺胺甲恶唑（SMX）.研究了MCTF/PMS体系降解SMX的主要影响因素,包括MCTF投加量、PMS浓度、pH值、无机离子.研究表明：在MCTF投加量0.3g/L,PMS浓度1.50mmol/L,SMX初始浓度0.05mmol/L的室温条件下,30min内SMX的降解率可达100%.随pH值升高,SMX的降解率随之降低.SO₄^2-与HCO₃^-对SMX的降解具有抑制作用,Cl^-则具有双重作用.循环试验证明MCTF具有良好的重复利用性能.MCTF/PMS体系中降解SMX的活性物质为硫酸根自由基（SO₄^-·）和羟基自由基（·OH）,并主要在催化剂表面生成反应;通过UHPLC-MS/MS对SMX的降解途径与产物进行推测分析.     

敏化剂特性及其耦合微波强化污泥破解研究

采用污泥活性炭（SAC）、TiO₂/SAC、Fe₃O₄/SAC作为敏化剂,结合微波处理技术对污泥进行了预处理,通过分析滤液中COD、DNA、氮、磷、有机物的含量及组分,探索微波+敏化剂的最佳处理条件.SAC负载TiO₂和Fe₃O₄后强化了其对电磁波的介电损耗和磁滞损耗,tan δ_ε分别增加了1.8和1.3倍,tan δ_μ分别增加到0.26和0.67.TiO₂/SAC投加量为0.25g/gSS时,样品滤液的COD浓度是1900mg/L,是原污泥和单独微波处理的4.52倍和1.86倍;Fe₃O₄/SAC投加量为0.35g/gSS时,样品滤液的COD浓度是2540mg/L,是原污泥和单独微波处理的6.05倍和2.45倍,Fe₃O₄/SAC强化污泥破壁效果更好.此时,样品滤液中TN、TP、蛋白质、多糖浓度分别为原污泥的7.7倍、16倍、7.49倍和71.69倍,微生物胞内和胞外聚合物中的物质大量释放,滤液中的溶解性有机物大大增加.微波+敏化剂的预处理方法有利于对污泥中氮、磷及有机物进行资源化利用与回收.     

European environmental assistance to the region of Pskov in northwest Russia: sustainability,effectiveness and implications for environmental governance

The paper explores the impact and sustainability of environmental assistance coming to Russia from EU-based public and private foundations, and its implications for environmental governance. Geographically, the study ’encompassed all the assistance projects awarded in 1991–2016 involving beneficiaries from Pskovskaya Oblast’. This region is potentially an important target for EU investments in environmental infrastructure, due to its location by the EU border and high value of natural capital. The study demonstrates how the assumptions offered by the international aid literature (mostly derived from the global South) apply to Russia. We found major limitations to the assumption that co-financing provided by recipients ensures project effectiveness (demonstrating the acceptance of the donor's agenda) or sustainability (providing interest to the maintenance of outputs). Tangible assets are normally co-financed only if the investment was in agenda anyway (and therefore the donor gets only time gains, although this can be a valid purpose too); soft outputs (plans, surveys, policies, etc.) are usually co-financed in-kind, and therefore cannot secure any additional commitment. Likewise, physical infrastructure often ends up mismanaged due to low or no maintenance budgets available, while maintenance of soft outputs is too much dependent on contextual factors beyond the co-finance paradigm.     

Integration of Optical and Microwave Remote Sensing Data for Agricultural Land Use Classification

An agricultural land use classification of Oltrepo' Pavese region (in Northern Italy) is performed through integration of remote sensing data from optical and radar sensors. The source of optical data was a Landsat-TM image acquired on April 1994, while the source of microwave data was a contemporaneous image of the new radar sensor SIR-C/X-SAR which was flown on-board the Space Shuttle during an experimental mission over the chosen test site. Then, they were combined through calculation of the principal components of the multidimensional data sets and a final classification was carried out and compared with the classifications obtained from optical and radar recordings separately. Results showed remarkable improvement in the classification accuracy of seedbeds and uncultivated fields with radar recordings and of herbaceous crop type with integrated data. Potential ability of a multi-sensor classification and limits of a single-temporal approach are discussed.