Fluorescence excitation-emission matrix combined with regional integration analysis to characterize the composition and transformation of humic and fulvic acids from landfill at different stabilization stages

Fluorescence excitation-emission matrix spectroscopy (EEMs) combined with fluorescence regional integration (FRI) analysis was used to investigate the composition and transformation of humic acid (HA) and fulvic acid (FA) from landfill. The EEMs of HAs at different landfill ages were characterized by two typical fluorescence chromophores with Ex/Em pairs at Ex = 420-470 nm/Em = 490-530 nm and Ex = 345-375 nm/Em = 450-465 nm. EEMs of FA were featured by other two distinctly different fluorophores with Ex/Em pairs at Ex = 315-335 nm/Em = 420-440 nm and Ex = 255-275 nm/Em = 425-455 nm. The results show that HA extracted from the refuse disposed in the year of 1989 was formed by connecting small-condensed aromatic structures with protein-like chains. Compared with HA extracted from the refuse disposed in the year of 1992, HA extracted from the refuse of 1996 had a higher fluorescence intensity and lower r_(B,A) (the ratio of the fluorescence intensities of peak B and peak A) value. It contained low molar mass components, low aromatic condensation degree, and more easily oxidized substituents. This indicates that the landfill time strongly affects the EEMs characteristics of HA, and that the humification degree of HA increases with the landfill time. A red shift to a longer wavelength region and an increase of fluorescence intensity were observed when the concentration of HA was increased, suggesting that concentration had a great influence on the fluorescence characteristics of HAs. pH (2-12) also had significant effects on the fluorescence intensity, although it exerted no effect on the peak position of fluorescence of HA and FA. The results of FRI show that increasing concentration lead to more interactions among various structure components and that small molecular weight units tend to aggregate or be masked into more complicated and larger structures. The pH influence on the fluorescence intensity of HA seems mainly through molecular configuration, while the fluorescence intensity change with pH may be due to various substituents of FA.     

铁元素对有机物厌氧降解的影响研究

不同价态的铁元素氧化还原性不同,对有机物的厌氧生物降解过程的影响也不同。以邻氟苯酚和硝基苯为目标污染物,投铁量为20～100mg／L的条件下,单质铁能加速硝基苯的厌氧降解,对2-氟酚降解的影响则很小;二价铁和三价铁对两种物质都表现出一定的抑制作用,投加浓度越高,抑制作用越明显。     

用甲基硫酸钠废渣制备二甲基硫醚

根据酯在碱性条件下水解反应生成醚的原理，研究了以甲基硫酸钠废渣为原料制备二甲基硫醚（DMS）的方法。在反应温度100℃、加水量100mL、搅拌时间30min、合成反应时间50min的最佳工艺条件下，制得的DMS产品纯度为99％，收率为83．59％。该法工艺简单，技术可行，操作稳定，既消除了环境污染，又能制备化工产品，具有明显的环境效益和经济效益。     

硫酸钡锶垢去除研究

通过定性分析得出某油田现场结垢物质为硫酸钡锶垢;采用沉淀重量法,对几种市售除垢剂与自制新型除垢剂QX进行了除垢效果对比实验。结果表明,除垢剂QX是一种理想的硫酸钡锶垢除垢剂。当QX加量为25mg／L、温度为50℃时除垢24h,除垢率可达95％以上。同时,对除垢剂加量、除垢时间、盐类加入和酸洗等影响因素进行了正交实验研究,表明除垢剂加量是影响除垢率的主要因素,而酸洗和加入盐会阻碍除垢效果。     

渤海无机氮水质稳定性预测

近年来,渤海水环境污染日趋严重,无机氮是主要的污染因子,对无机氮水质稳定性的预测可为渤海水质站位优化和污染治理提供依据。本文以2002~2013年夏季无机氮趋势性监测数据为基础,用IDW和回归分析方法对无机氮各类水质发生概率进行预测,并计算2014~2016年无机氮水质稳定性概率,将渤海无机氮水质稳定性划分为高稳定性区域、中稳定性区域和低稳定性区域,为渤海无机氮监测站位布设和污染控制提供依据。     

小球藻吸附重金属离子的试验研究

分析了影响小球藻吸附Cu2 ,Cd2 和Zn2 三种重金属离子的主要因素 ,并对不同金属离子之间的吸附抑制开展了初步试验研究 .结果显示 ,小球藻吸附重金属离子的速度快 ,吸附容量大 ,适宜的pH值在 3 0— 5 0之间 ,其吸附等温线与Freundlich方程拟合良好 .另外 ,小球藻对Cd2 的吸附性能明显高于其它离子 .由于电子云分布和轨道杂化等结构因素 ,三种金属离子在小球藻上的吸附选择顺序为 :Cu2 >Cd2 >Zn2 .     

浮叶植物重建对富营养化湖泊氮磷营养水平的影响

利用太湖五里湖污染底泥，在不破坏表层沉积物形态和结构的情况下，利用大口径的采样器采集沉积物柱状样，研究浮叶植物荇菜（Limnanthemun nymphoides）在此底泥上适应性生长情况及其对水体以及沉积物中氮磷的影响。结果表明，在培养实验过程中，荇菜生长使上覆水体中的氮、磷营养水平逐渐降低，藻类的生长明显受到克制，水体透明度增加，水质逐渐改善。通过植物根系对沉积物和问隙水中营养盐的直接吸收，使表层（0～5cm）沉积物与问隙水中氮磷营养盐的水平在实验结束后有明皿下降，对于控制沉积物内源营养盐释放有重要的作用。因此，恢复以水生植物为丰的水生生态系统足重建富营养湖泊生态系统和控制湖泊内源负荷的重要措施。     

母体暴露环境浓度盐酸四环素对F1代斑马鱼胚胎骨骼发育的影响

抗生素被广泛应用于兽药和饲料添加剂中,尤其是四环素等广谱抗生素,长期滥用于养殖业中.四环素是目前用量最大、应用范围最广泛的一种抗生素.抗生素在体内蓄积,或者以原型随粪便排入环境中,造成环境污染.实验用斑马鱼为模式动物来评价低浓度四环素对斑马鱼下一代(F1)发育的毒性影响.选取4月龄亲代斑马鱼(F0),分别给予0.1、1...     

Advances in airborne microorganisms detection using biosensors: A critical review

• Airborne microorganism detection methods are summarized. • Biosensors play an important role in detecting airborne microorganisms. • The principle of biosensor detection of airborne microorganisms is introduced. • The application and progress of biosensor in recent years is summarized. • The future perspectives of biosensor are identified. Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies. However, these technologies still have some shortcomings; they are time-consuming and have low sensitivity and poor stability. Most of them need to be used in the ideal environment of a laboratory, which limits their applications. A biosensor is a device that converts biological signals into detectable signals. As an interdisciplinary field, biosensors have successfully introduced a variety of technologies for bio-detection. Given their fast analysis speed, high sensitivity, good portability, strong specificity, and low cost, biosensors have been widely used in environmental monitoring, medical research, food and agricultural safety, military medicine and other fields. In recent years, the performance of biosensors has greatly improved, becoming a promising technology for airborne microorganism detection. This review introduces the detection principle of biosensors from the three aspects of component identification, energy conversion principle, and signal amplification. It also summarizes its research and application in airborne microorganism detection. The new progress and future development trend of the biosensor detection of airborne microorganisms are analyzed.