氯化法处理医院废水的研究

介绍了次氯酸钠法和液氯法2种目前常用的处理医院废水的方法.对2家医院的废水处理过程进行了测试及实验研究.结果表明,这2家医院的废水处理后细菌总数和余氯量未达到国家规定的排放标准.主要原因是加氯量不精确,加氯后的停留时间不足,不能有效杀死废水中的病菌.对加氯量和停留时间的实验研究表明,每吨医院废水中次氯酸钠和液氯的最佳投入量分别为90 g和9 g,加氯后的停留时间不少于60min.     

环境水样阴离子表面活性剂光度测定法

本文通过实验研究,提出了对河水及生活废水阴离子表面活性剂的水相直接测定方法,此方法具有简便、快速的特点,且有良好的准确性和再现性。     

球壳孢菌和胶孢炭疽菌的液体培养特性研究

对银杏叶内生真菌球壳孢科菌株A114和胶孢炭疽菌菌株05—27的液体培养特性的初步研究得出：两种菌株均在马铃薯葡萄糖液体培养基中生长最好、菌丝产量最高，在pH4．0-8．5的马丁氏液体培养基中均能生长。A114菌株和05—27菌株的最佳氮、碳源分别为酵母粉和葡萄糖，A114菌株最适pH为6．6，05—27菌株最适pH为6．9。     

离子液体对CO2吸收性能的研究进展

CO2引起的气候变暖已成为全球最关注的环境问题之一,利用离子液体固定CO2引起了众多学者的关注。介绍了近年来离子液体吸收CO2的研究进展,包括常规离子液体和含氨基离子液体、氨基酸离子液体、聚离子液体及其他离子液体等4种功能化离子液体,并简要分析了吸收机理。综合分析了每种离子液体的吸收性能,离子液体对CO2的吸收能力均随温度上升而减小,随压力升高而增加。烷基链的增长以及含氟基团的增加有利于对CO2的吸收。功能化离子液体由于引入了功能化基团,相同条件下,其对CO2的吸收力几乎是常规离子液体的两倍。此外,将离子液体与有机溶液(特别是醇胺溶液)混合能提高离子液体对CO2的吸收能力,且能降低生产费用。最后指出了高吸收性能、低黏度、低毒以及低成本是未来离子液体的研究方向。     

QuEChERS: a sample preparation for extraction of carbaryl from rat feces

Carbamate compounds are an important group of cholinesterase inhibitors. There is a need for creating awareness regarding the risks of the inadequate carbamate use in the residential areas due to potential adverse human effects. Carbaryl is a commonly used pesticide worldwide. A simple, fast, and high-throughput method was developed employing liquid chromatography with fluorescence detector to determine carbaryl residues in rat feces. The extraction was performed by using a rapid, easy, cheap, effective, reliable, and safe (QuEChERS) method, using acetonitrile as the extracting solvent. The parameters for the performance of the extraction method were optimized, such as ratio of mass of sample per volume of extraction solvent, QuEChERS content, and cleanup columns. Linear response was obtained for all calibration curves (solvent and matrix-matched) over the established concentration range (5–500 μg/L) with a correlation coefficients higher than 0.999. The achieved recovery was 97.9% with relative standard deviation values of 1.1% (n = 4) at 167 μg/kg fortified concentration level and the limits of detection and quantification were 27.7 and 92.3 µg/kg, respectively.     

Phosphorus recovery from biogas fermentation liquid by Ca–Mg loaded biochar

Shortage in phosphorus (P) resources and P wastewater pollution is considered as a serious problem worldwide. The application of modified biochar for P recovery from wastewater and reuse of recovered P as agricultural fertilizer is a preferred process. This work aims to develop a calcium and magnesium loaded biochar (Ca–Mg/biochar) application for P recovery from biogas fermentation liquid. The physico-chemical characterization, adsorption efficiency, adsorption selectivity, and postsorption availability of Ca-Mg/biochar were investigated. The synthesized Ca–Mg/biochar was rich in organic functional groups and in CaO and MgO nanoparticles. With the increase in synthesis temperature, the yield decreased, C content increased, H content decreased, N content remained the same basically, and BET surface area increased. The P adsorption of Ca–Mg/biochar could be accelerated by nano-CaO and nano-MgO particles and reached equilibrium after 360 min. The process was endothermic, spontaneous, and showed an increase in the disorder of the solid–liquid interface. Moreover, it could be fitted by the Freundlich model. The maximum P adsorption amounts were 294.22, 315.33, and 326.63 mg/g. The P adsorption selectivity of Ca–Mg/biochar could not be significantly influenced by the typical pH level of biogas fermentation liquid. The nano-CaO and nano-MgO particles of Ca–Mg/biochar could reduce the negative interaction effects of coexisting ions. The P releasing amounts of postsorption Ca–Mg/biochar were in the order of Ca–Mg/B600 > Ca–Mg/B450 > Ca–Mg/B300. Results revealed that postsorption Ca–Mg/biochar can continually release P and is more suitable for an acid environment.     

Analysis of trace dicyandiamide in stream water using solid phase extraction and liquid chromatography UV spectrometry

An improved method for trace level quantification of dicyandiamide in stream water has been developed. This method includes sample pretreatment using solid phase extraction. The extraction procedure (including loading, washing, and eluting) used a flow rate of 1.0 mL/min, and dicyandiamide was eluted with 20 mL of a methanol/acetonitrile mixture (V/V = 2:3), followed by pre-concentration using nitrogen evaporation and analysis with high performance liquid chromatography–ultraviolet spectroscopy (HPLC–UV). Sample extraction was carried out using a Waters Sep-Pak AC-2 Cartridge (with activated carbon). Separation was achieved on a ZIC^®-Hydrophilic Interaction Liquid Chromatography (ZIC-HILIC) (50 mm × 2.1 mm, 3.5 μm) chromatography column and quantification was accomplished based on UV absorbance. A reliable linear relationship was obtained for the calibration curve using standard solutions (R² > 0.999). Recoveries for dicyandiamide ranged from 84.6% to 96.8%, and the relative standard deviations (RSDs, n = 3) were below 6.1% with a detection limit of 5.0 ng/mL for stream water samples.     

固定源细颗粒物稀释测试法现场应用存在问题及影响因素分析研究

对基于大气环境的稀释测试法在现场应用中存在的主要问题进行了归纳总结,并对若干影响细颗粒物测试结果的重要因素进行了分析,诸如停留时间、稀释比、采样时间等因素,期望能够对该法测试系统的后续改进或重新设计提供实际问题导向,同时也能够对该领域现场工作的科研人员提供非常有用的经验。     

高效液相色谱-电感耦合等离子体质谱联用测定生物样品中的有机汞

建立了酸提取-高效液相色谱-电感耦合等离子体质谱联用技术(HPLC-ICP-MS)测定生物样品中甲基汞、乙基汞、苯基汞等3种有机汞的分析方法。鱼肉和贝类样品经盐酸消解,苯萃取,硫代硫酸钠溶液反萃取后,采用醋酸铵/L-半胱氨酸缓冲盐及甲醇体系组成的流动相按一定比例进行梯度洗脱,经前处理的生物样品在液相色谱中经C18柱分离后,进入电感耦合等离子体质谱检测其甲基汞、乙基汞和苯基汞的浓度。3种有机汞化合物均在0.50~50.0μg/L范围内呈现良好的线性关系,线性相关系数(r)均大于0.9998。方法检出限为0.010~0.038mg/kg;3种有机汞样品加标的RSD均小于12.2%;两个水平的加标回收率在50.8~129%。     

有机化学品不同温度下(过冷)液体蒸气压预测模型的建立与评价

(过冷)液体蒸气压(PL)是评价化学品在环境中分配、迁移和归趋行为的重要参数。PL具有较强的温度依附性。发展一种能够精确预测不同环境温度下化学品PL的方法,有助于填补化学品生态风险评估的大量数据缺失。本研究收集整理了661种有机化合物在不同温度下(200~830 K)共计10 478个log PL值。在此基础上,采用偏最小二乘(PLS)回归和支持向量机(SVM)方法,构建了PL的线性和非线性预测模型。结果表明:2种模型均具有良好的拟合度、稳健性及预测能力,SVM模型的预测性能略高于PLS模型(PLS:R2adj.tra=0.912,RMSEtra=0.477,Q2ext=0.910;SVM:R2adj.tra=0.997,RMSEtra=0.092,Q2ext=0.967)。机理分析表明,温度是影响PL的主要因素,温度越高,蒸气压越大;其次,X1sol也影响PL大小,X1sol用来描述分子间的色散作用,分子间色散力越小,蒸气压越大;此外,化合物的氢键个数、极性和分子构型等因素也影响PL大小。采用Wiliams plot方法表征了PLS模型应用域。所建立的模型可用来预测烷烃、烯烃、醇、酮、羧酸、苯、酚、联苯、卤代芳香烃、含N化合物及含S化合物在不同温度下的PL数据。