粉煤灰黑液胶凝材料的研究

研究了改性黑液作粉煤灰的激发剂,并与石灰、磷石膏一起制成一种新型的胶凝材料,讨论了粉煤灰、石灰、磷石膏及黑液的用量对胶凝材料性能的影响,并通过正交试验与模糊数学分析求出了最佳工艺参数。试验结果表明,该种新材料的抗压强度能达≥20MPa,耐水性良好,且工艺简单、成本低。     

实验室废液的收集与处理技术研究

实验室废液的收集处理是实验室废物管理中的难点。通过总结实践经验、深入调研、开展试验等方式,系统地调研了国内外有关实验室废液的收集和处理处置技术。提出了实验室废液的分类方法和流程;研究了实验室废液用包装容器的材质、尺寸、外形等要求;以及分拣和打包流程。分析了实验室废液的预处理手段;并通过对物理化学法、生物法、焚烧法等进行技术比选,指出了当前实验室废液处理的优势技术。     

Field‐Scale Application of Three Types of Neural Networks to Predict Ground‐Water Levels1

Abstract: In this paper, a field‐scale applicability of three forms of artificial neural network algorithms in forecasting short‐term ground‐water levels at specific control points is presented. These algorithms are the feed‐forward back propagation (FFBP), radial basis networks (RBN), and generalized regression networks (GRN). Ground‐water level predictions from these algorithms are in turn to be used in an Optimized Regional Operations Plan that prescribes scheduled wellfield production for the coming four weeks. These models are up against each other for their accuracy of ground‐water level predictions on lead times ranging from a week to four weeks, ease of implementation, and execution times (mainly training time). In total, 208 networks of each of the three algorithms were developed for the study. It is shown that although learning algorithms have emerged as a viable solution at field scale much larger than previously studied, no single algorithm performs consistently better than others on all the criteria. On average, FFBP networks are 20 and 26%, respectively, more accurate than RBN and GRN in forecasting one week ahead water levels and this advantage drops to 5 and 9% accuracy in forecasting four weeks ahead water levels, whereas GRN posted a training time that is only 5% of the training time taken by that of FFBP networks. This may suggest that in field‐scale applications one may have to trade between the type of algorithm to be used and the degree to which a given objective is honored.     

高效液相色谱法测定废水中阿维菌素的含量

建立了一种采用高效液相色谱法(HPLC)检测废水中阿维菌素含量的方法。以二氯甲烷作萃取剂萃取废水中的阿维菌素,以甲醇 H2O(88 12)为流动相、Spherisorb C18柱高效液相色谱分离、紫外检测器在波长为245nm时测定。阿维菌素标准曲线的线性回归系数r=0.9948,线性范围为0.025~0.100mg/ml;水样相对标准偏差小于10.6%,加标回收率为75.8%~87.6%。     

固相萃取-高效液相色谱-质谱联用法测痕量双酚A的方法优化

通过优化固相萃取和液相色谱条件,建立了固相萃取-高效液相色谱-质谱法测定水中双酚A的检测方法.水样经C18固相萃取柱净化并富集双酚A后,采用C18反相色谱柱XR-ODS(2.0 mm×100 mm,2.2μm)分离,MRM负离子模式测定.结果表明:BPA浓度为5～200 ng/L范围内线性关系良好(相关系数为0.999...     

Monitoring of Pesticide Residues in Fruits

Fruit samples of ber, grapes and guava analysed for pesticide residues employing multiresidue analysis by gas liquid chromatography equipped with ECD and NPD detectors and capillary columns showed contamination with organochlorine, synthetic pyrethroid and organophosphate insecticides. Among organochlorines, HCH, DDT and endosulfan were detected in almost all the samples. Residues of HCH and DDT were maximum in ber followed by grapes and guava where as of endosulfan were maximum in guava followed by grapes and ber. All the fruit samples showed the presence of residues with one or the other group of pesticides. Residues of none of the pesticides exceeded the MRL values in any sample. On the basis of these studies, it is suggested that monitoring studies should be extended to other fruits grown in different agro climatic regions which may serve as basis for future policy in chemical use.     

Extraction procedure optimization for perfluorooctane sulfonate and perfluorooctanoic acid in food packaging determination by LC-MS/MS

This research aimed to optimize the extraction method parameters for sample pretreatment and determine the levels of perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA) contamination in food packaging made of paper. Techniques used were pressurized liquid extraction (PLE) followed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). Influence parameters of PLE were carefully evaluated for extracted concentration of samples in low level (ng g^?1). The study found that the optimal conditions for PLE were 30 min static extraction time with a flush volume of 100% cell volume and one extraction cycle at 80°C and 1,000 psi. The extraction technique validated the absolute recovery from PFOS and PFOA fortified control samples at three different levels (5, 50, and 200 ng g^?1), with seven repeats at each fortification level. The average recoveries were 79% or higher, with relative standard deviation (RSD) less than 11%. Optimization of the PLE method was established based on recovery data, accuracy, precision, and repeatability of the method. Using optimal PLE technique, PFOS and PFOA were extracted from 34 food-packaging samples collected in Thailand. PFOS and PFOA were detected in all kinds of collected samples, with average concentrations of 4.89 and 2.87 ng g^?1, respectively. The concentrations of PFOS and PFOA were highest in fast-food container samples: 36.99 and 9.99 ng g^?1, respectively.     

Evaluating peats for their capacities to remove odorous compounds from liquid swine manure using headspace “solid‐phase microextraction”

Abstract

This paper reports on research designed to investigate the capacities of different highly characterized peats to remove odorous compounds from liquid swine manure (LSM). Peat types representing a wide range of properties were tested in order to establish which chemical and physical properties might be most indicative of their capacities to remediate odors produced by LSM. Eight percent slurries (of peat/LSM) were measured for odor changes after 24 hours using odor panel and GC/MS‐Solid‐phase microextraction (GC/MS‐SPME) analysis.

The GC/MS‐SPME and odor panel results indicated that, although all peats tested in this study were found to be effective at removing odor‐causing compounds found in LSM, some peats tended to work better than others. Overall, the peats that were the most effective at removing odor‐causing compounds tended to have lower bulk densities, ash contents, fulvic acids contents, and guaiacyl lignins contents,and higher water holding capacities, hydraulic conductivities, “total other lignins”; contents, hydrogen contents, carbon contents, and total cellulose contents.

GC/MS‐SPME analysis was found to be a reasonably inexpensive and efficient way of conducting this type of research. It allows one to identify a large number of the odor‐causing compounds found in LSM, and more importantly, to detect with some precision specific differences in the amounts of these compounds between peat types.     

印刷用铝基材碱洗废液的循环利用

对印刷用铝基材碱洗废液进行了循环利用研究。首先将高COD含量的碱洗废液进行除油脱色处理,通过石灰和硬脂酸的协同效应,使COD含量从26300mg／L降至480mg／L,色度降至60°;然后利用含铝碱性废液通过碳化法制备出结晶度66％的拟薄水铝石产品;最后对分离后的碱性废水按配方要求配制,对铝基材进行除油实验,经5次循环表明,除油效果和对铝基材的腐蚀率均100％达标。     

紫外催化湿式双氧水氧化处理化学镀铜废液

利用化学镀铜废液自身含有的铜作为催化剂,应用紫外催化湿式双氧水氧化工艺处理化学镀铜废液取得了良好效果。通过单因素实验确定的推荐工艺条件为：pH=2.0（保持原始值不变）;不额外投加铜催化剂;H₂O₂用量为2倍理论量。在此条件下处理化学镀铜废液180 min,COD去除率可达到96.6%;之后采用沉淀法回收铜,调节处理后废水pH到9.5,铜的回收率可达到99.8%。