顶空固相微萃取-色谱质谱联用测定饮用水中二甲基异冰片和土味素

研究了顶空固相微萃取-气相色谱质谱联用测定饮用水中二甲基异冰片和土味素的方法。结果表明,当选用聚二甲基硅氧烷(PDMS)萃取纤维萃取头,萃取温度为60℃,萃取时间为40min时,得到二甲基异冰片标准曲线方程为y=122.59+157.76x,相关系数(R)0.9998;土味素的标准曲线方程为y=14.847+180.99x,相关系数(R)0.9999;检出限为0.1ng/L,相对标准偏差在0.99%～4.05%之间,加标回收率86.4%～109.5%。     

气相色谱-质谱法测定废酸油渣中的16种多环芳烃

建立了废酸油渣中16种多环芳烃超声萃取、Florisil萃取柱净化、气相色谱-质谱测定的方法.笔者对提取方式、提取剂类型和体积、提取时间和次数、净化方式等进行研究,采用无水硫酸钠分散,二氯甲烷作为提取剂超声40 min,提取液经纯水清洗、离心后取适量有机相经过3 g Florisil萃取柱净化,采用气相色谱-质谱选择离...     

铀在土壤中的吸附动力学

以四川盆地红层丘陵区涪江河谷两岸广泛分布的第四系中更新统亚粘土为对象,用动态法测定了铀在该土壤中的平衡吸附量,为极低放废物的处置提供一些理论依据。研究了流速、土壤粒度及铀溶液初始浓度对土壤吸附铀的影响,并用常用的吸附动力学方程对实验数据进行了拟合。结果表明：土壤粒度小的平衡吸附量较大;流速越小、平衡吸附量越大;铀溶液的初始浓度越大,平衡吸附量越大;在用动力学方程拟合时,E lovich方程的拟合度最好;该土壤对铀的最大吸附率为61.1%,吸附性能较差。     

蜈蚣草根部对As（Ⅲ）的吸收特性

采用水培实验对蜈蚣草吸收As（Ⅲ）的吸收特性进行了研究,结果表明在各个处理浓度范围内,培养液中As（Ⅲ）的吸收效率随着时间递增.当处理浓度为10 mg·L-1时,24 h后蜈蚣草对As（Ⅲ）的吸收高达97.57%,而在处理浓度为500 mg·L^-1和1000 mg·L^-1时,蜈蚣草对As（Ⅲ）的吸收比例明显降低,吸...     

串联四极杆质谱(GC-QqQ-MS/MS)测定土壤中的有机氯农药和多氯联苯

建立了用加速溶剂萃取仪(ASE)萃取、凝胶渗透色谱(GPC)净化、气相色谱/串联四极杆质谱多反应监测、同时测定土壤中17种有机氯农药和19种多氯联苯的方法.加标浓度在3.3μg/kg时的平均回收率在79.6%～93.2%之间,相对标准偏差在2.9%～13.0%之间,定量限在0.01～0.51μg/kg之间.在检测土壤样品中的有机氯农药和多氯联苯残留方面,Gc-QqQ-MS/MS相对于气相色谱/电子捕获检测器(GC-ECD)和GC-MS的选择离子检测(SIM)模式具有非常明显的优势,尤其是在低浓度水平的定性和定量方面.     

云南高原典型林分林下枯落物持水特征研究

森林枯落物具有重要生态水文功能,通过实地调查与实验分析,对云南高原湖泊纳帕海流域3种典型林分枯落物储量、持水量和持水过程进行了研究。结果表明：高山松（pinus densata）林下枯落物储量最大,白桦林（Betula platyphylla Suk.）次之,川滇高山栎（Quercus aquifolioides）灌丛最小,林下枯落物储量最大持水量和有效拦蓄量大小排序表现出和枯落物储量相同的顺序;不论是储量、最大持水量还是有效拦蓄量,各林分枯落物都表现出半分层大于未分解层。3种林下枯落物在0～2 h内吸水较快,在10 h后吸水速明显减缓,用对数方程对3种林下枯落物未分解层和半分解层持水量与浸水时间进行拟合,用幂函数方程对吸水速率与浸水时间进行拟合,结果显示相关系数都较高。     

Immediate prenatal diagnosis of Zellweger syndrome by direct measurement of very long chain fatty acids in chorionic villus cells

We report a gas chromatographic-mass spectrometric method which allows the very long chain fatty acids content of trophoblastic tissue to be directly measured in samples collected by biopsy between 8 and 11 weeks of gestation. This method has been successfully applied to the detection of fetal Zellweger syndrome in two pregnant women who had previously delivered affected infants. In one of them, increased concentrations of C26:0 (0.254 versus 0.108±0.035 μ/mg proteins) and C24:0 (1.32 versus 0.815±0.325 μ/mg proteins) in trophoblast indicated that the fetus had Zellweger syndrome, a diagnosis confirmed by pathological findings after abortion. In the second case, the pregnancy was allowed to proceed, on the basis of normal concentrations of very long chain fatty acids in trophoblastic tissue, and its outcome was actually a healthy newborn.     

高效液相色谱-串连四极杆质谱联用测定水样和气样中的1-甲基-2-吡咯烷酮

建立了水和气样中1-甲基-2-吡咯烷酮的高效液相色谱-串连四极杆质谱测定方法。水样经0.45μm滤膜可直接进样,气样中的1-甲基-2-吡咯烷酮经活性炭吸附后,经30%乙腈水溶液洗脱后进样,最低检出质量达0.012ng;线性范围在0.001~2mg/L;方法灵敏度高,干扰小,定性能力强,快速简单,回收率良好。     

石墨炉原子吸收法快速测定水中的四乙基铅

用三氯甲烷萃取水中的四乙基铅,直接上石墨炉原子吸收仪进行测定。结果表明,方法相对标准偏差为5.9%,平均回收率在90.4%~108%之间,检出限为1.3×10-5mg/L。准确度高,精密度好。     

Using multivariate regression modeling for sampling and predicting chemical characteristics of mixed waste in old landfills

Municipal solid waste landfills pose a threat on environment and human health, especially old landfills which lack facilities for collection and treatment of landfill gas and leachate. Consequently, missing information about emission flows prevent site-specific environmental risk assessments. To overcome this gap, the combination of waste sampling and analysis with statistical modeling is one option for estimating present and future emission potentials. Optimizing the tradeoff between investigation costs and reliable results requires knowledge about both: the number of samples to be taken and variables to be analyzed.This article aims to identify the optimized number of waste samples and variables in order to predict a larger set of variables. Therefore, we introduce a multivariate linear regression model and tested the applicability by usage of two case studies. Landfill A was used to set up and calibrate the model based on 50 waste samples and twelve variables. The calibrated model was applied to Landfill B including 36 waste samples and twelve variables with four predictor variables.The case study results are twofold: first, the reliable and accurate prediction of the twelve variables can be achieved with the knowledge of four predictor variables (Loi, EC, pH and Cl). For the second Landfill B, only ten full measurements would be needed for a reliable prediction of most response variables. The four predictor variables would exhibit comparably low analytical costs in comparison to the full set of measurements. This cost reduction could be used to increase the number of samples yielding an improved understanding of the spatial waste heterogeneity in landfills.Concluding, the future application of the developed model potentially improves the reliability of predicted emission potentials. The model could become a standard screening tool for old landfills if its applicability and reliability would be tested in additional case studies.