水中痕量亚当氏剂和二苯胺的固相微萃取方法研究

研究了固相微萃取(SPME)-高效液相色谱(HPLC)测定水样中痕量亚当氏剂和二苯胺的分析方法.对SPME的条件如萃取纤维、萃取时间、萃取温度、离子强度、解吸方式、解吸溶剂、解吸时间进行了优化,并用于地下水等实际水样的分析.SPME优化的条件为:选用60μmPDMS/DVB萃取纤维在室温25℃下直接萃取60min,磁力搅拌速度为1100r.min-1,然后萃取纤维在解吸室内静态解吸9min后进行HPLC分析.液相色谱分离条件为ZORBAXSBC18柱(4.6mmi.d.×250mm,5.0μm),流动相为甲醇-水(70:30,V/V),流速为1.0ml.min-1,二极管阵列检测器波长为280nm.方法线性范围为0.005mg.l-1—0.5mg.l-1(R>0.99),两种物质的检出限(S/N=3)分别为0.003mg.l-1和0.002mg.l-1.加标回收率分别在89.6%—100.4%和97.5%—100.1%(n=5)之间,相对平均标准偏差(RSD)分别在4.5%—6.2%和3.8%—6.7%之间.该方法快速、简便,无需使用有机溶剂,适于水样中痕量物质的分析.     

Using the paired comparison methodology to assess environmental values in the coastal zone of Ghana

Like many developing countries, Ghana is grappling with environmental issues, such as the degradation of coastal natural resources. In an attempt to ameliorate the current state of affairs, broad institutional arrangements and policy interventions have been put in place. However coastal natural resources are still being overexploited and the effects of this are felt more strongly by certain groups (such as women and the rural poor) than others. This has led to the argument pointing to an urgent need to include local resource users as active participants in environmental decision making and to incorporate their environmental values in the management of coastal natural resources. Using empirical data from women in two Ghanaian coastal communities, this paper highlights the importance of exploring how the environmental attitudes and values of women might be considered in the management of local coastal natural resources. It assesses effectiveness of the paired comparison methodology in this respects and how this method can be also used to prioritise their environmental concerns. The results show that in both areas respondents place the greatest importance on the coastal natural resources as sources of wealth creation and of food, values which are often described as being “anthropocentric”. The paper thus argues that having discovered that the ecological value placed on natural resources is low, initiatives that could win the support of people would be those that link the livelihood and wellbeing to coastal NRM. It emphasizes the fact that conservation cannot exist outside of people and social systems; nor will it succeed unless they are linked to the welfare of resource users.     

固体进样-电热蒸发-原子吸收法测定土壤中的镉

采用固体进样原子吸收法直接测定土壤中的镉,可以避免传统酸消解预处理过程耗时长、试剂消耗大、操作步骤繁琐等缺点,提升镉的检测效率。通过优化测镉仪的仪器参数,确定了固体进样-电热蒸发-原子吸收法的优化仪器条件。采用优化条件测定了不同浓度的土壤样品,研究了该方法的检出限、正确度、精密度。研究结果表明:镉质量范围为0~200 ng时与峰面积的线性相关系数优于0.999 5,空气流下优化的灰化温度和热解温度均为800 ℃,优化的热解气体氢气流量为300 mL/min,当样品进样量为0.1 g时,检出限为0.009 mg/kg,7次连续测定相对标准偏差为1.4%~5.0%,加标回收率为96.2%~102.1%,分析时间小于4 min。该方法操作简便,用时短,无需高压气源,可以用于土壤中镉的高效检测。     

PT-GC-CVAFS法测定沉积物中甲基汞的影响因素及应用

研究了碱提取吹扫捕集气相色谱冷原子荧光光谱法测定沉积物中甲基汞的影响因素,包括载气流速、柱温、衍生化试剂、样品称取量、前处理时碱性提取液加入量和反应瓶中提取液加入量的影响,分析了提取液加入量对Tenax管的影响、提取液保存的影响因素、沉积物样品保存的影响因素以及样品中Hg²⁺的干扰影响。根据影响情况确定最佳测定条件,应用于广西龙江河流域上9个代表性监测断面的底泥样品中甲基汞的测定,采用污染指数法对该流域甲基汞的污染现状进行评价。结果表明,最佳载气流速范围为22～27 mL/min,最佳柱温为46℃。衍生化试剂选择四乙基硼化钠和四丙基硼化钠均能达到较好的回收率。样品称取量选择0.50 g时回收率好。前处理时碱性提取液的加入量对甲基汞的提取效率没有显著影响。为保证水相衍生反应体系最终pH在5左右,乙酸-乙酸钠缓冲溶液的加入量随提取液加入量的增加而增加。当缓冲溶液为300μL时,提取液小于150μL不会影响Tenax管性能。避光与否对提取液的保存和样品的保存影响都不大,提取液保存3 d后、样品保存15 d后,甲基汞回收率将低于80%。衍生化前定量体积提取液中Hg     

柴油机排气微粒过滤催化处理技术及进展

介绍了柴油机微粒后处理催化捕集器特点 ,评述了过滤器催化再生方法 ,综述了蜂窝陶瓷载体涂层及催化剂活性组分研究现状。重点阐述了微粒再生催化剂研究进展及其发展趋势     

低温等离子体技术及其在柴油机排气处理中的应用

概述了等离子体特点及分类 ,介绍了低温等离子体的产生及其净化柴油机排气的应用进展 ,分析了低温等离子体技术有效处理柴油机排气的机理 ,阐述了未来低温等离子体处理柴油机排气的主要方向与应用前景。     

用于处理含油废水的吸油罐的研制

聚丙烯纤维是一种很好的吸油材料 ,以它作为吸油罐内的滤料吸附含油废水中的油 ,使水达标排放 ,再用蒸汽吹扫滤料上的油进行收集 ,使油回收利用     

饱和膨润土复合颗粒吸附剂吸附的重金属离子的固定及其再生

采用Na_2S化学再生法对吸附Fe~(2+)、Mn~(2+)、Cu~(2+)和Zn~(2+)饱和的膨润土-钢渣复合颗粒吸附剂分别进行重金属离子的固定及其再生实验研究,探究该吸附剂吸附的重金属离子的固定问题及其再生的可能性和多次再生后的吸附效果,同时根据SEM图进一步揭示固定、再生机理。结果表明:在对Fe~(2+)的固定、再生实验中,可形成Fe S沉淀而实现固定,但再生后再吸附时,膨润土复合颗粒中蒙脱石结构改变使得颗粒坍塌变成粉末状,因此,吸附Fe~(2+)饱和的膨润土复合颗粒吸附剂不适合用Na_2S再生;而对Mn~(2+)、Cu~(2+)和Zn~(2+)的固定、再生实验中,均可形成S化物沉淀而实现固定,颗粒结构未改变,经过3次再生后,吸附剂对Mn~(2+)、Cu~(2+)和Zn~(2+)的去除率还可达到94.22%、83.2%和76.30%,远比未经再生的吸附剂吸附效果好,同时,由SEM表征分析进一步揭示:Na_2S再生溶液既可使重金属离子形成MS沉淀固定,又可使复合颗粒吸附剂获得再生,实现了同步固定、再生的目的,且吸附剂经多次再生后吸附效果保持良好。     

Fine particulate speciation profile and emission factor of municipal solid waste incinerator established by dilution sampling method

In this study, fine particulate matter (PM_2.5) emitted from a municipal solid waste incinerator (MSWI) was collected using dilution sampling method. Chemical compositions of the collected PM_2.5 samples, including carbon content, metal elements, and water-soluble ions, were analyzed. Traditional in-stack hot sampling was simultaneously conducted to compare the influences of dilution on PM_2.5 emissions and the characteristics of the bonded chemical species. The results, established by a dilution sampling method, show that PM_2.5 and total particulate matter (TPM) emission factors were 61.6 ± 4.52 and 66.1 ± 5.27 g ton-waste^?1, respectively. The average ratio of PM_2.5/TPM is 0.93, indicating that more than 90% of PM emission from the MSWI was fine particulate. The major chemical species in PM_2.5 included organic carbon (OC), Cl^?, NH₄⁺, elemental carbon (EC) and Si, which account for 69.7% of PM_2.5 mass. OC was from the unburned carbon in the exhaust, which adsorbed onto the particulate during the cooling process. High Cl^? emission is primarily attributable to wastes containing plastic bags made of polyvinyl chloride, salt in kitchen refuse and waste biomass, and so on. Minor species that account for 0.01–1% of PM_2.5 mass included SO₄^2-, K⁺, Na, K, NO₃^?, Al, Ca²⁺, Zn, Ca, Cu, Fe, Pb, and Mg. The mean ratio of dilution method/in-stack hot method was 0.454. The contents of water-soluble ions (Cl^?, SO₄^2-, NO₃^?) were significantly enriched in PM_2.5 via gas-to-particle conversion in the dilution process. Results indicate that in-stack hot sampling would underestimate levels of these species in PM_2.5.

Implications: PM_2.5 samples from a municipal solid waste incinerator (MSWI) were collected simultaneously by a dilution sampling technique and a traditional in-stack method. PM_2.5 emission factors and chemical speciation profiles were established. Dilution sampling provides more reliable data than in-stack hot sampling. The results can be applied to estimate the PM_2.5 emission inventories of MSWI, and the source profile can be used for contribution estimate of chemical mass balance modeling.