脉冲强光对水中枯草杆菌灭活效果的研究

脉冲强光杀菌技术是近年来开发的一种新型冷杀菌技术,利用强烈的白光闪照进行杀菌。以枯草杆菌为目标微生物,对比研究脉冲强光与紫外线对微生物的灭活效果。并通过改变脉冲强光装置的输入电压和闪照次数,研究了影响脉冲强光杀菌的影响因素。     

Mitigating Impact of Devils Lake Flooding on the Sheyenne River Sulfate Concentration

Devils Lake is a terminal lake located in northeast North Dakota. Because of its glacial origin and accumulated salts from evaporation, the lake has a high concentration of sulfate compared to the surrounding water bodies. From 1993 to 2011, Devils Lake water levels rose by ~10 m, which flooded surrounding communities and increased the chance of an overspill to the Sheyenne River. To control the flooding, the State of North Dakota constructed two outlets to pump the lake water to the river. However, the pumped water has raised concerns about of water quality degradation and potential flooding risk of the Sheyenne River. To investigate these perceived impacts, a Soil and Water Assessment Tool (SWAT) model was developed for the Sheyenne River and it was linked to a coupled SWAT and CE‐QUAL‐W2 model that was developed for Devils Lake in a previous study. While the current outlet schedule has attempted to maintain the total river discharge within the confines of a two‐year flood (36 m³/s), our simulation from 2012 to 2018 revealed that the diversion increased the Sheyenne River sulfate concentration from an average of 125 to >750 mg/L. Furthermore, a conceptual optimization model was developed with a goal of better preserving the water quality of the Sheyenne River while effectively mitigating the flooding of Devils Lake. The optimal solution provides a “win–win” outlet management that maintains the efficiency of the outlets while reducing the Sheyenne River sulfate concentration to ≤600 mg/L.     

分子识别作用下光催化降解偶氮染料酸性红GR

合成了β-环糊精(β-CD)与偶氮染料酸性红GR(ARGR)的包结物,并采用红外光谱仪对ARGR、β-CD及β-CD与ARGR的包结物进行了表征,表征结果显示,β-CD与ARGR的包结物的特征峰的峰形和强度与β-CD相似,但峰位有明显的偏移,说明ARGR进入了β-CD空腔与β-CD发生了分子识别作用。采用TiO2作为催化剂,研究了β-CD分子识别后ARGR的光催化降解行为,实验结果表明,在ARGR质量浓度为20.0 mg/L、β-CD浓度为1.8×10-5 mol/L、体系pH为4.0、TiO2加入量为1.0 g/L、光催化反应时间为60 min的条件下,经β-CD分子识别后ARGR的光催化降解率可达100%。     

Optimization of capture–recapture monitoring of elusive species illustrated with a threatened grasshopper

Information on population sizes and trends of threatened species is essential for their conservation, but obtaining reliable estimates can be challenging. We devised a method to improve the precision of estimates of population size obtained from capture–recapture studies for species with low capture and recapture probabilities and short seasonal activity, illustrated with population data of an elusive grasshopper (Prionotropis rhodanica). We used data from 5 capture–recapture studies to identify methodological and environmental factors affecting capture and recapture probabilities and estimates of population size. In a simulation, we used the population size and capture and recapture probability estimates obtained from the field studies to identify the minimum number of sampling occasions needed to obtain unbiased and robust estimates of population size. Based on these results we optimized the capture–recapture design, implemented it in 2 additional studies, and compared their precision with those of the nonoptimized studies. Additionally, we simulated scenarios based on thresholds of population size in criteria C and D of the International Union for Conservation of Nature (IUCN) Red List to investigate whether estimates of population size for elusive species can reliably inform red-list assessments. Identifying parameters that affect capture and recapture probabilities (for the grasshopper time since emergence of first adults) and optimizing field protocols based on this information reduced study effort (−6% to −27% sampling occasions) and provided more precise estimates of population size (reduced coefficient of variation) compared with nonoptimized studies. Estimates of population size from the scenarios based on the IUCN thresholds were mostly unbiased and robust (only the combination of very small populations and little study effort produced unreliable estimates), suggesting capture–recapture can be considered reliable for informing red-list assessments. Although capture–recapture remains difficult and costly for elusive species, our optimization procedure can help determine efficient protocols to increase data quality and minimize monitoring effort.     

用环己烷氧化副产物制备浮选剂

在固体酸催化剂作用下,用环己烷氧化制备环己酮的副产物——酸性油和轻质油进行酯化反应,制备了羧酸混合酯,酯化反应的最佳工艺条件：n（C4-C5醇）：n（有机羧酸）=1．2：1,催化剂质量分数为1．5％,反应温度为110-160℃,反应时间为5h。经应用评价结果表明,该羧酸混合酯是一种性能优异的选煤浮选剂。     

强磁场影响下菌株B1对染料的脱色作用

从校园土壤中筛选出一株对人工合成染料酸性红B有一定脱色能力的菌株B1(芽孢杆菌属),经过6.0、8.0、8.0T的强磁场分别作用30、15、30 min后进行了脱色试验;根据实验数据,得到染料脱色模型.结果表明,强磁场对B1具有诱变作用,能使其脱色能力得到强化.     

模拟可见光下土壤表面石油的光化学降解研究

在模拟可见光照射下,分析了土壤中的初始含油量、土壤类型和土壤pH值对石油在土壤表面光降解过程的影响,并利用紫外-可见分光光度法(UV-Vis)、气相色谱-氢火焰离子化检测器(GC-FID)和傅立叶红外光谱(FTIR)等方法对石油在光降解过程中的演变规律进行研究.结果表明,石油在土壤表面上的光化学降解行为符合准一级反应动力学,实验测得石油的光解速率常数为0.002 6～0.017 2 h^-1,半衰期为40～267 h.GC-FID分析结果表明,在光降解50 h后,石油的饱和烃组分中高碳数的烷烃相对含量降低,低碳数的烷烃相对含量提高;芳香烃组分的大部分色谱峰有明显地降低或消失.红外光谱分析发现,光照60 h后土壤萃取液中可能产生了羰基类化合物,说明石油在光降解过程中逐渐发生氧化.     

臭氧法对酸性嫩黄G溶液的脱色效率和残留物的分析

实验考察了臭氧对酸性嫩黄G色度脱除和其溶液pH值的变化情况,并对降解溶液中的残留物进行定量分析。结果发现,20min时,脱色率达到97.5%;有酸性物质生成并使得溶液的pH值随反应时间的推移下降,pH与脱色率总体变化趋势一致。经反应,分子中的—SO3Na基团大部分生成了SO42-;N并没有氧化成NO2-、NO3-,而是生成其它含N化合物。     

分子吸附器在光学相机污染控制中的应用研究

分子吸附器作为一种新型的在轨污染控制手段,具有使用方便、重量轻、无功耗和成本低等特点,可以为航天器光学相机提供在轨污染控制。从在轨分子污染物和分子吸附器特点两方面进行分析,描述了光学相机在轨污染物来源及特点,分析了污染物成分及对光学相机的危害,阐述了分子吸附器(包括吸附剂和基底)的组成及吸附特点。结合相机结构,提出了分子吸附器在光学相机污染控制中的应用方案,并明确了今后的研究方向。     

Photodegradation of Oryzalin in aqueous isopropanol and acetonitrile

The phototransformation of Oryzalin was studied under UV light (λ_max ≥ 290 nm) and sunlight (λ_max ≥ 250 nm) in aqueous isopropanol and acetonitrile solution in absence and presence of TiO₂ as sensitizer. The rate of photodegradation of Oryzalin in different solvent system followed first-order kinetics, and calculated half-lives were found to be in the range of 23.52-53.75 h for UV light and 41.23-61.43 h for sunlight. From this study, total 12 photoproducts were identified and characterized on the basis of column chromatography and Q-Tof micromass spectral data. The plausible mechanism of phototransformation involved was hydrolysis, breaking of sulfonic bond, and loss of amino and sulfonic acid group.