Occurrence and human dietary assessment of sulfonamide antibiotics in cultured fish around Tai Lake,China

As the most important fishery medicines, sulfonamides are widely used to prevent diseases caused by pathogens in aquaculture. However, relatively little is known about the residues and dietary risks associated with cultured fish around Tai Lake. In the present study, a sampling strategy for a complete aquaculture period was conducted. Specifically, 12 selected sulfonamide antibiotics were measured among 116 fish samples recruited from four sampling periods, four species, four areas, and 18 fish ponds. All 12 antibiotics were detected at detection frequencies of 4.31–28.45%. Total sulfonamides were detected in 77.59% of the fish samples, with 57.76% of fish samples containing from 0.1 to 10 μg kg^?1. Sulfadiazine (SDZ), sulfamethoxazole (SMZ), sulfamethazine (SDD), and sulfamonomethoxine (SMM) were the main types of antibiotics used, and these were present at high concentrations (>100 μg kg^?1) with high occurrences, especially in the middle of the aquaculture season. Dietary assessment showed that residual antibiotics in all fish that were being sent to market were far below the maximum residue limit (MRL) of total sulfonamides and that there was almost no risk associated with fish consumption. The results of the present study will facilitate development of effective measures to produce safe aquatic products and meaningful suggestions for consuming aquatic products.     

Simultaneous determination of eight metabolites of organophosphate and pyrethroid pesticides in urine

A simultaneous method for quantifying eight metabolites of organophosphate pesticides and pyrethroid pesticides in urine samples has been established. The analytes were extracted using liquid–liquid extraction coupled with WCX solid phase extraction (SPE) cartridges. Eight metabolites were chemically derivatized before analysis using gas chromatography–tandem mass spectrometry (GC–MS–MS). The separation was performed on a HP-5MS capillary column (30 m × 0.25 mm × 0.25 µm) with temperature programming. The detection was performed under electro-spray ionization (ESI) in multiple reaction monitoring (MRM) mode. An internal standard method was used. The extraction solvent, types of SPE cartridges and eluents were optimized by comparing the sample recoveries under different conditions. The results showed that the calibration curves of the five organophosphorus pesticides metabolites were linear in the range of 0.2–200 μg/L (r² ≥ 0.992) and that of the three pyrethroid pesticides metabolites were linear in the range of 0.025–250 μg/L (r² ≥ 0.991). The limits of detection (LODs, S/N ≥ 3) and the limits of quantification (LOQs, S/N ≥ 10) of the eight metabolites were 0.008–0.833 μg/L and 0.25–2.5 μg/L, respectively. The recoveries of the eight metabolites ranged from 54.08% to 82.49%. This efficient, stable, and cost-effective method is adequate to handle the large number of samples required for surveying the exposure level of organophosphorus and pyrethroid pesticides in the general population.     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

两株氢噬胞菌的萘降解特性分析

对两株分离自内蒙古乌梁素海的氢噬胞菌X32和X12的培养条件和萘降解特性进行研究。实验结果表明:菌株X32和X12的最适生长pH为7.0,最适生长温度为30~35℃,最适盐度w(NaCl)为1%;当初始萘质量浓度为3 500 mg/L时,对数生长期的菌株X32对萘的降解活性可达53.9 nmol/(mg·min),而菌株X12可达34.8 nmol/(mg·min);菌株X32在培养48 h后进入稳定期,60 h时萘降解率达91.43%;菌株X12在培养60 h后进入稳定期,90 h时萘降解率达93.93%。氢噬胞菌X32和X12是两株具有较高应用价值的多环芳烃降解细菌。     

Study on low-temperature plasma γ-Al2O3 catalytic viscosity reduction of polyacrylamide solution

The wide use of polyacrylamide (PAM) in enhanced oil recovery generates a large amount of polymer-bearing wastewater featuring high viscosity and difficult viscosity reduction, making the treatment of wastewater increasingly difficult. In this paper, the experimental study on reducing the viscosity of wastewater containing polyacrylamide by using the plasma generated by dielectric barrier discharge (DBD) and the synergistic effect of catalyst γ-Al₂O₃ is carried out. The law of plasma reducing the viscosity of wastewater containing polyacrylamide is studied under the different conditions of amounts of γ-Al₂O₃ catalyst, discharge voltages, and initial concentrations of polyacrylamide-containing wastewater. The mechanism of viscosity reduction of polyacrylamide is studied through environmental scanning electron microscope (ESEM), Fourier transform infrared (FTIR) spectrometer, and X-ray photoelectron spectroscopy (XPS). The results show that the catalytic viscosity reduction is the best when the discharge voltage is 18 kV and the discharge time is 15 min. With the increase in the input of the γ-Al₂O₃ catalyst, the viscosity of the PAM solution decreases gradually. When the amount of γ-Al₂O₃ is 375 mg, the shear rate changes from 0.5 1/sec to 28 1/sec, and the viscosity of the solution containing polyacrylamide changes from 434.5 mPa·s to 40.2 mPa·s. The viscosity reduction rate of the PAM solution is 90.7%. After the catalytic viscosity reduction, the functional groups of polyacrylamide do not change much. The elemental composition of the catalyst has not changed, which is still Al, C, and O.

     

高海拔水电水库温室气体的排放特征——以雅鲁藏布江藏木水库为例

水电水库是大气温室气体的重要来源,在一定程度上影响着区域气候变化.然而目前关于水库温室气体排放的估算仍然存在很大的不确定性,一方面原因是缺失了世界各地山区水库的数据,另一方面原因是未将受水库影响的上下游河道考虑在内.本研究重点关注雅鲁藏布江流域水电水库——藏木水库丰枯水期CO2、CH4和N2O的溶存浓度与扩散通量的时空...     

供水管网水力模型的建立与应用研究现状

主要针对供水管网水力模型的研究发展现状,介绍了供水管网水力模型的建立过程,以及模型的应用现状,为进一步深入研究和开发供水管网水力模型提供参考.     

阳朔典型铅锌矿区流域土壤重金属空间分布特征及来源解析

以广西阳朔县典型铅锌矿为研究对象,对其流域内水系表层土壤中10种金属元素（Cr、Mn、Ni、Cu、Zn、As、Cd、Sb、Hg和Pb）含量进行分析测定.综合运用Pearson相关性分析、主成分分析（PCA）和正定矩阵因子分解法（PMF）等多种方法,识别和定量解析污染源及贡献.在168个表层土壤样本分析数据中,土壤中Zn、Cd、Hg和Pb的含量平均值高于国家土壤环境质量标准,Sb、Cd、Cu、Pb和Zn的含量平均值分别比当地背景值高出约1.01、5.50、3.29、9.11和10.67倍,表明重金属在表层土壤中已经富集.土壤重金属地累积指数（I_geo）结果显示,研究区污染最严重的是Hg,其次为Pb、Zn和Mn.相关性分析和主成分分析结果表明,区内表层土壤中金属污染来源较为复杂,且明显受到人为活动的影响.Cu、Zn、Cd、Sb、As和Pb主要来源于采矿活动;Hg、Cr和Ni由土壤母质控制;Mn和Cd主要来源于工矿与农业活动.PMF模型分析结果表明,表层土壤中金属来源分为3种,工矿活动源、自然源和工矿及农业活动复合源的综合贡献率分别为58.0%、13.5%和28.6%.Ni、Cu、Zn、As、Sb、Hg和Pb以工矿活动源为主,贡献率分别为46.9%、89.6%、45.5%、67.8%、99.3%、58.3%和96.8%;母岩矿物风化和降雨冲刷等自然源对Cr的相对贡献率达到44.6%,对Ni和Hg也分别有23.2%和21.0%的相对贡献率;工矿及农业活动的复合源对Mn和Cd的相对贡献率分别达到75.4%和70.4%.     

沸石-壳聚糖吸附剂吸附废水中的Ni2+

采用沸石-壳聚糖吸附剂吸附废水中的Ni2＋。将粒径为180μm的天然沸石与脱乙酰度90％的壳聚糖混合,制成沸石一壳聚糖吸附剂。考察了沸石一壳聚糖吸附剂对模拟含镍废水中的Ni2＋静态吸附效果的影响因素。正交实验结果表明,在壳聚糖与天然沸石质量比为0．05、吸附剂加入量为14g/L、Ni2＋初始质量浓度为40mg／L、模拟含镍废水pH为6—7、吸附时间为40min的条件下,模拟含镍废水中Ni2＋去除率大于96％。对实际电镀含镍废水的动态吸附实验结果表明,NP的质量浓度由38．0mg／L减少到0．8mg／L,小于GB8978-96《污水综合排放标准》规定值（1．0mg／L）。     

日光辐照H_2O_2-草酸铁氧化法处理棉浆粕废水

采用日光辐照H_2O_2-草酸铁氧化法处理棉浆粕废水.最佳工艺条件为:正午日光辐照10 min,废水pH5.00,废水体积150 mL,H_2O_2加入量2.0 mL,Fe_SO_4·7H_2O加入量0.600 0 g,K_2C_2O_4·H_2O加入量0.290 9 g.在此条件下COD由初始时的3 200 mg/L降至608 mg/L,COD去除率可达81.0%.采用气相色谱-质谱联用仪对处理前后的废水进行分析,实验结果表明该法可有效去除废水中大部分有机污染物.