[Variation characteristics and removal rate of fluorescence organic matter in the petrochemical wastewater treatment process].

Petrochemical wastewater is of huge quantity released during the production and complicated contaminants of petrochemical wastewater will have immense negative impact on ecology environment. Three-dimensional excitation-emission matrix fluorescence(3D-EEM) was used to investigate the characteristic fluorescence of influent and effluent from each processing unit of Hydrolysis-acidification +A/O+ Contact-oxidation Process in a typical petrochemical wastewater treatment plant . The results showed that there were 4 fluorescence peaks named Peak A, Peak B, Peak D, Peak E in the spectrum chart of influent, they are around lambda(ex/lambda(em) = 220/300, 225/340, 270/300, 275/340 nm, the primary source of fluorescence organic matter(FOM) is industrial wastewater. The fluorescence intensity of each fluorescence peak was decreased, while location was unchanged in the effluent of Hydrolysis-acidification. Peak C appeared from the effluent of anaerobic tank at lambda(ex)/lambda(em) = 250/425 nm, then the fluorescence intensity of Peak C was enhanced in the effluent of aerobic tank. Peak A disappeared from the effluent of secondary sedimentation tank. The spectrum chart of the wastewater had no obvious variation after secondary sedimentation tank. The removal rate of FOM was expressed with the degradation percentage of the fluorescence intensity, the total FOM was reduced by 92.0% after processing, and the removal rate of the FOM fluoresce around Peak A, Peak B, Peak D, Peak E were 100.0%, 91.2%, 80.3%, 92.0% respectively. A volatile I(Peak B)/I(Peak E) value of influent but a relatively stable value of effluent demonstrated that the wastewater treatment plant operated steadily and the process has higher capacity in resistance to shock loading.

[A method for determination of trace naphthalene and phenanthrene in water using constant-wavelength synchronous fluorescence spectrometry].

In view of synchronous fluorescence possessing the character of good selectivity, high sensitivity, less interference, etc. it can be used for simultaneous determination of multi-component mixtures of polycyclic aromatic hydrocarbons (PAHs). A new method of constant-wavelength synchronous fluorescence spectrometry to determine two naphthalene and phenanthrene of PAHs was developed in this study. The effect of different experimental conditions, such as different disolvents for character of fluorescence spectra and the choose of the optimal wavelength difference were studied. Experiment showed that the simultaneous indentification and quantitative determination of the two PAHs when delta lambda = 100 was chosen. The fluorescence intensity was linearly related to naphthalene and phenanthrene concentration in the range of 0.5-25.0 microg x L(-1) with correlation coefficient 0.999 5 and 0.999 7, respectively. The detection limits were all lower than 0.03 microg x L(-1), and the relative standard deviations for naphthalene and phenanthrene were 1.19% and 180% (n=7), respectively. Results show that the compounds can be analyzed qualitatively and quantitatively by synchronous fluorescence spectrometry.

[Classification and Analysis of Dissolved Organic Matter in 2-Buternal Manufacture Wastewater].

The dissolved organic matters from 2-buternal manufacture wastewater were fractionated into seven fractions by ultra-filtration membrane separation. The amounts and structural compositions of organic compounds in different molecular weight ranges were characterized by dissolved organic carbon (DOC), ultraviolet spectrum (UV), Fourier transform infrared spectrometer (FT-IR) and gas chromatography with mass spectrometry (GC-MS). The results showed that the fraction of molecular weight less than 1×103 had the largest proportion in the wastewater, and occupied 88.57% of the DOC. There were 27 kinds of compounds qualitatively analyzed by GC-MS, mainly including aldehyde, ketone, ester, alcohol, phenol, organic acid, alkane and other heterocyclic compounds. The proportions of compounds of peak area accounting for total peak area of organic matters were 6.9%, 5.3%, 35.4%, 13.2%, 4.6%, 0.4%, 1.7% and 16.8% respectively, adding up to 84%. The analysis of UV and FT-IR demonstrated that the spectral absorptive characteristics of organic compounds from different fractions were not significantly different. The fractions contained carbonyls, hydroxys and aromatic compounds, which was consistent with the qualitative analysis of GC-MS. The results of this study provide an important guidance for the development and optimization of 2-buternal manufacture wastewater treatment process.

Chronical sleep interruption-induced cognitive decline assessed by a metabolomics method.

Good sleep is necessary for optimal health, especially for mental health. Insomnia, sleep deprivation will make your ability to learn and memory impaired. Nevertheless, the underlying pathophysiological mechanism of sleep disorders-induced cognitive decline is still largely unknown. In this study, the sleep deprivation of animal model was induced by chronical sleep interruption (CSI), the behavioral tests, biochemical index determinations, and a liquid chromatography-mass spectrometry (LC-MS) based serum metabolic profiling analysis were performed to explore the effects of CSI on cognitive function and the underlying mechanisms. After 14-days CSI, the cognitive function of the mice was evaluated by new objects preference (NOP) task and temporal order judgment (TOJ) task. Serum corticosterone (CORT), and brain Malondialdehyde (MDA), Superoxide Dismutase (SOD), and Catalase (CAT) levels were determined by ELISA kits. Data were analyzed by Principal Component Analysis (PCA), Partial Least Squares project to latent structures-Discriminant Analysis (PLS-DA), and Student's t-test. We found that the cognitive function of the mice was significantly affected by CSI. Besides, levels of CORT and MDA were higher, and SOD and CAT were lower in CSI mice than those of control. Obvious body weight loss of CSI mice was also observed. Thirteen potential serum biomarkers including choline, valine, uric acid, allantoic acid, carnitines, and retinoids were identified. Affected metabolic pathways involve metabolism of purine, retinoid, lipids, and amino acid. These results showed that CSI can damage the cognitive performance notably. The cognitive decline may ascribe to excessive oxidative stress and a series of disturbed metabolic pathways.