固相萃取-高效液相色谱-质谱联用法用于地表水中类固醇激素测定

建立了固相萃取-高效液相色谱-质谱联用法对雌三醇、氟哌噻吨、炔雌醇、雄烯二酮、雌二醇、雌酚酮、睾酮共7种类固醇激素的检测方法。样品经C18萃取小柱富集净化,采用内标法定量时,方法的检出限为0.66～1.95 ng/L,R0.998,回收率为78.5%～94.6%,相对标准偏差为1.1%～7.7%。采用该方法对上海市地表水进行测定,在2个采样点中检出雌酚酮(1.88 ng/L)和雄烯二酮(1.48 ng/L)。     

Combining GIS with fuzzy multicriteria decision-making for landfill siting in a fast-growing urban region

Landfill siting is a difficult, complex, tedious, and protracted process requiring evaluation of many different criteria. This paper presents a fuzzy multicriteria decision analysis alongside with a geospatial analysis for the selection of landfill sites. It employs a two-stage analysis synergistically to form a spatial decision support system (SDSS) for waste management in a fast-growing urban region, south Texas. The first-stage analysis makes use of the thematic maps in Geographical information system (GIS) in conjunction with environmental, biophysical, ecological, and socioeconomic variables leading to support the second-stage analysis using the fuzzy multicriteria decision-making (FMCDM) as a tool. It differs from the conventional methods of integrating GIS with MCDM for landfill selection because the approach follows two sequential steps rather than a full-integrated scheme. The case study was made for the city of Harlingen in south Texas, which is rapidly evolving into a large urban area due to its vantage position near the US-Mexico borderlands. The purpose of GIS was to perform an initial screening process to eliminate unsuitable land followed by utilization of FMCDM method to identify the most suitable site using the information provided by the regional experts with reference to five chosen criteria. Research findings show that the proposed SDSS may aid in recognizing the pros and cons of potential areas for the localization of landfill sites in any study region. Based on initial GIS screening and final FMCDM assessment, "site 1" was selected as the most suitable site for the new landfill in the suburban area of the City of Harlingen. Sensitivity analysis was performed using Monte Carlo simulation where the decision weights associated with all criteria were varied to investigate their relative impacts on the rank ordering of the potential sites in the second stage. Despite variations of the decision weights within a range of 20%, it shows that "site 1" remains its comparative advantage in the final site selection process.     

σ-AgFeO2晶相对银铁复合氧化催化剂表面氧性能的影响

采用共沉淀法制备了一系列不同摩尔比的银铁复合氧化物催化剂。采用ＸＲＤ,ＴＰＤ－ＭＳ,ＴＰＲ等技术以及ＣＯ氧化反应考察银了铁复合氧化物催化剂的结构和表面氧性质。     

固相萃取-高效液相色谱法同时测定饮用水中苯胺和联苯胺

用Waters Oasis MCX固相萃取小柱富集水中的苯胺和联苯胺,以2%氨水-甲醇混合溶液为洗脱液,采用高效液相色谱法DAD检测器在285 nm波长下测定。苯胺和联苯胺分别在0 mg/L～100 mg/L和0 mg/L～10.0 mg/L范围内线性良好,检出限分别为0.3 μg/L和0.1 μg/L,饮用水加标平行测定6次的RSD分别为0.9%和0.3%,回收率分别为98.3%～99.1%和97.6%～102%。     

固相微萃取-气相色谱法测定水中酞酸酯类化合物

建立了固相微萃取(SPME)-气相色谱(GC)法分析环境水样中痕量酞酸酯类化合物(PAEs)的方法。选用65 μm PDMS/CVB萃取纤维,在磁力搅拌转速为700 r/min、萃取温度为60℃条件下,对水样中的PAEs萃取富集50 min,然后直接注入GC进样口,在 250℃ 温度下解吸1.5 min后进行分析测定,6种PAEs能得到充分提取和分离。方法的检出限为0.010 8~0.029 3 μg/L。对水样进行3个质量浓度水平(0.025、0.125、0.25 μg/L)的加标实验,加标回收率为41.79%~132.80%,RSD为6.53%~18.74%(n=7),用该法测定了某制药厂的实际水样,测得DBP含量为0.018 6 μg/L,DEHP、 DMP、DEP、DOP、BBP均未检测到。     

固相萃取-超高效液相色谱法检测地表水中7种氯酚类化合物

建立了一种能够测定地表水中7种氯酚类化合物的固相萃取-超高效液相色谱方法。调节水样p H=2,经固相萃取柱富集后,用丙酮和二氯甲烷洗脱,浓缩定容后分析。以甲醇-水溶液(含0.2%乙酸)为流动相,柱温为30℃,紫外检测波长为分段检测(285、290、300、304 nm)。结果表明,检测方法对7种氯酚类化合物具有良好的线性相关性,相关系数≥0.999 7。当水样萃取体积为1 L,浓缩至1 m L,进样量为5μL时,方法检出限为12.7~32.1 ng/L,测定下限为50.8~128.4 ng/L;高低两组浓度的平均加标回收率为79.2%~108.4%,相对标准偏差为4.6%~13.3%。     

SPME-HPLC法测定废水中硝基苯酚类化合物

采用固相微萃取处理废水样,用高效液相色谱法测定水样中10种硝基苯酚类化合物。通过优化前处理和仪器测定的条件,使该方法在0.020 0 mg/L~3.00 mg/L范围内线性良好。方法检出限为5μg/L~39μg/L,空白水样的3个质量浓度水平加标回收率为49.3%~82.9%,RSD为8.3%~18.1%。用该方法测定某企业的实际废水样,结果未检出,其3个质量浓度水平加标回收率为50.6%~79.7%,RSD为7.6%~18.4%。     

固相微萃取技术在苯胺等突发性水环境污染事故中的应用

建立了固相微萃取与车载气相色谱-质谱联用技术现场快速定量分析突发性水环境污染事故中的硝基苯、苯酚、苯胺3种半挥发性有机物的方法。选用PA萃取纤维,调节水样p H为8.5,加入30%的氯化钠,45℃顶空萃取30 min可得最佳萃取效果。在最佳实验条件下,硝基苯、苯酚、苯胺的方法检出限分别为0.68、3.2、4.88μg/L;平行测定7次的相对标准偏差分别为5.37%、8.31%、2.86%;3种化合物的相关性系数均大于0.99;对实际样品测定的加标回收率在61.1%~120%。     

SPE-GC-MS法测定地下水中26种有机氯农药

采用固相萃取(SPE)技术,结合气相色谱/质谱(GC-MS)选择离子检测法(SIM)对水样中26种有机氯农药(OCPs)进行提取、净化、浓缩前处理,优选了固相萃取小柱填料及萃取、净化条件,优化了GC-MS的工作参数,建立了地下水中26种有机氯农药的SPE-GC-MS分析方法。针对不同的组分,本法加标回收率为76.422%~112.512%,相对标准偏差为4.905%~15.524%,检出限为0.014~0.089μg/L。该方法操作简单,消耗费用低,分析速度快,具有较高的灵敏度和回收率。     

基于相空间神经网络耦合模型的径流降尺度分析

基于混沌理论和神经网络理论,研究水文科学的尺度问题,将混沌神经网络分析方法应用于径流的降尺度分析。首先通过对年径流量分解到月径流量的分解系数的分析,证明了分解系数具有混沌特性;其次利用相空间BP神经网络模型对分解系数进行预测,并根据预测结果进行月径流量的降尺度计算。实例研究表明,用神经网络拟合分解系数相空间的相点演化非线性关系和用相空间神经网络模型对径流作降尺度分析是可行的。