航空压力环境对锂离子电池热解气体爆炸极限影响*

针对航空锂离子电池热失控释放气体安全性研究不足的问题,采用气体拉曼光谱技术、气相色谱仪(Gas Chromatography,GC)和质谱(Mass Spectroscopy,MS)耦合来探究压力和荷电状态(State of Charge,SOC)对锂离子电池早期故障气体类型、气体动态演变及气体潜在危险性等特征的影响规律,同时综合考虑压力、电压和电池温度等多种因素分析锂离子电池热失控危害。研究结果表明:电池SOC越高且环境压力越低,电池越早触发热失控,爆炸极限越宽,其中30 kPa下100%SOC电池热解气体爆炸极限为8.01%~53.35%;SOC和环境压力越高,电池热失控越危险,释放的气体体积越多;CO,CO2,PF3,C2H4及电解液（C3H6O2、C3H6O3、C4H8O2）等气体可作为航空锂离子电池早期故障诊断特征。研究结果对保障锂离子电池在航空领域的安全运输及应用具有重要意义。     

环糊精对腐植酸-芘、蒽相互作用影响初探

利用吸收光谱、荧光猝灭法、圆二色谱法及芘荧光探针法,探讨了环糊精(CDs)对腐植酸(HA)与以芘为代表的多环芳烃(PAHs)相互作用的影响.β-CD与HA的吸收光谱和荧光光谱测定结果表明:β-CD能够包络HA的芳环部分;荧光猝灭法和圆二色谱法测定结果表明:HA能够与被β-CD空腔包络的芘分子发生相互作用,CDs和HA之间存在与芘相互作用的竞争;用荧光猝灭法测定了四种不同CDs存在下HA和芘的结合常数,并用芘为荧光探针进行测定,结果表明:CDs浓度较低时,HA对芘的作用占优势;反之,CDs占优势.与其它三种CDs不同,γ-CD存在下HA与芘的结合常数随其浓度的升高一直增大.     

Use of thermal analysis techniques (TG-DSC) for the characterization of diverse organic municipal waste streams to predict biological stability prior to land application

The use of organic municipal wastes as soil amendments is an increasing practice that can divert significant amounts of waste from landfill, and provides a potential source of nutrients and organic matter to ameliorate degraded soils. Due to the high heterogeneity of organic municipal waste streams, it is difficult to rapidly and cost-effectively establish their suitability as soil amendments using a single method. Thermal analysis has been proposed as an evolving technique to assess the stability and composition of the organic matter present in these wastes. In this study, three different organic municipal waste streams (i.e., a municipal waste compost (MC), a composted sewage sludge (CS) and a thermally dried sewage sludge (TS)) were characterized using conventional and thermal methods. The conventional methods used to test organic matter stability included laboratory incubation with measurement of respired C, and spectroscopic methods to characterize chemical composition. Carbon mineralization was measured during a 90-day incubation, and samples before and after incubation were analyzed by chemical (elemental analysis) and spectroscopic (infrared and nuclear magnetic resonance) methods. Results were compared with those obtained by thermogravimetry (TG) and differential scanning calorimetry (DSC) techniques. Total amounts of CO₂ respired indicated that the organic matter in the TS was the least stable, while that in the CS was the most stable. This was confirmed by changes detected with the spectroscopic methods in the composition of the organic wastes due to C mineralization. Differences were especially pronounced for TS, which showed a remarkable loss of aliphatic and proteinaceous compounds during the incubation process. TG, and especially DSC analysis, clearly reflected these differences between the three organic wastes before and after the incubation. Furthermore, the calculated energy density, which represents the energy available per unit of organic matter, showed a strong correlation with cumulative respiration. Results obtained support the hypothesis of a potential link between the thermal and biological stability of the studied organic materials, and consequently the ability of thermal analysis to characterize the maturity of municipal organic wastes and composts.     

Mapping of temperature and line-of-sight errors in constituent retrievals for MIPAS/ENVISAT measurements

An optimized code for the near real-time retrieval of line of sight, temperature and volume-mixing ratio profiles of five key species (O₃, H₂O, HNO₃, CH₄ and N₂O) from infrared limb spectra recorded by the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) experiment on board the ENVISAT-1 satellite was developed as part of an ESA-supported study. In this code line of sight and temperature are retrieved simultaneously among themselves, but sequentially with respect to the volume-mixing ratio of the five key species. The sequential retrieval leaves unaccounted the mapping of line of sight and temperature errors in the retrieved volume-mixing ratio of the constituents. This paper illustrates an algorithm that provides the a-posteriori evaluation of temperature and line-of-sight-induced error on the retrieved volume-mixing ratio of the MIPAS key species. It is shown that in most cases temperature and line-of-sight-induced error provides a significant contribution to the total volume-mixing ratio error. The variability of this error as a function of latitude, season and atmospheric model is also analyzed.     

急性毒性藻红外测试中敏感藻的确定方法

敏感藻是指在急性毒性藻红外测试中对毒物响应的温差大、时间快、种类多、剂量低的特殊藻类.自然藻中是否存在敏感藻以及如何确定,是建立藻红外测试法的关键.为此,开展了敏感藻确定方法的探索性研究.试验用8种藻,重金属、有机毒物、农药各10种进行测试分析,结果表明:短线脆杆藻(Fragilaria brevistriata)对重金属、羊角月牙藻(Selenastrum capricornutum)对有机毒物、纤细裸藻(Euglena gracilis)对除草剂和杀虫剂、水华鱼腥藻(Anabaena flos-aquae)对杀菌剂的平均绝对温差分别为0.21℃、0.27℃、0.19～0.20℃、0.20℃,分别高出各自的总均温差0.07℃、0.15℃、0.07℃、0.08℃;4种藻的平均响应时间1.5～7.0min,较好响应药品的响应率≥80%;发光细菌对部分药品的灵敏度在0.07～50.0mg·L-1,而4种藻对相同药品的灵敏度在0.01～7.0mg·L-1.根据敏感藻定义和试验结果,确定短线脆杆藻、羊角月牙藻、纤细裸藻、水华鱼腥藻分别为重金属、有机毒物、除草剂和杀虫剂、杀菌剂的敏感藻.     

E2诱导的鲫鱼(Carassius auratus)幼鱼血清中卵黄蛋白原和钙含量相关性研究

用酶联免疫吸附法(ELISA)对E2诱导的鲫鱼幼鱼血清中卵黄蛋白原(VTG)进行了测定,并用原子吸收分光光度法测定了血清中的钙含量.结果表明:鲫鱼幼鱼血清中VTG和钙含量与E2的暴露剂量均有很好的剂量-效应关系.对血清中VTG和钙含量进行回归分析,发现二者具有较好的相关性,R2=0.928 7.因此,用原子吸收法测定血清中的钙含量从一定程度上可以替代ELISA法间接确定血清中的VTG含量,并对化学物质的雌激素效应进行了评价.      

A Monte Carlo study of radon detection in cylindrical diffusion chambers

The functioning of radon diffusion chambers was studied using the Monte Carlo code RAMMX developed here. The alpha particles from radon are assumed randomly produced in the volume of the cylinder, and those from the progeny are assumed to originate randomly at the cylindrical surface. The energy spectrum, the distribution of incident angles, and the distribution of path lengths of the alpha particles on the detector were obtained. These quantities vary depending on input parameters such as initial alpha particle energy, radius and depth of the diffusion chamber, detector size and atmospheric pressure. The calculated energy spectrum for both ²²²Rn and ²²⁰Rn was compared with experiment, permitting the identification of each peak and its origin, and a better understanding of radon monitoring. Three aspects not considered in previous calculations are progeny alphas coming from surfaces of the monitor, taking into account the atmospheric pressure, and including the isotope ²²⁰Rn.     

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.     

优化的甘蔗皮渣吸附居室甲醛

为了研究优化后的甘蔗皮渣吸附居室中的甲醛,本研究通过3种方法处理材料进行吸附甲醛对比,得出简便高效的碱热烫处理,并针对其热烫时间(X1)、pH值(X2)、水浴锅温度(X3)和水浴时间(X4)设置正交实验,得出热烫时间30 min、pH=11、水浴锅温度80℃、水浴时间2.5 h,甘蔗皮渣对甲醛吸附率可达27.91%。通过与活性炭、硅藻纯吸附效果比较,经F检验得出优化处理甘蔗皮渣与硅藻纯吸附效果相当,均极显著优于活性炭。电镜观测出优化甘蔗皮渣与活性炭、硅藻纯同具粗糙、皱褶、疏松多孔结构;傅里叶红外光谱分析出C≡C等基团在甲醛吸附中起主要作用。     

Adsorption of As(III) on chitosan-Fe-crosslinked complex (Ch-Fe)

It was reported the adsorption of As(III) on the surface of the chitosan-Fe-crosslinked complex. Theoretical correlation of the experimental equilibrium adsorption data for As(III)/Ch-Fe system is best explained by the non-linearized form Langmuir-Freundlich isotherm model. At optimum conditions, pH 9.0, the maximum adsorption capacity, calculated using the Langmuir-Freundlich isotherm model was 13.4 mg g⁻¹. The adsorption kinetics of As(III) onto Ch-Fe are described by the pseudo-first-order kinetic equation. The results of the Mössbauer spectroscopy showed that there is no redox process on the surface of the adsorbent.