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1.
Bioresour Technol ; 239: 7-16, 2017 Sep.
Article in English | MEDLINE | ID: mdl-28500890

ABSTRACT

A laboratory-scale biotrickling filter combined with a magnetic field (MF-BTF) and a single BTF (S-BTF) were set up to treat trichloroethylene (TCE) gas. The influences of phenol alone and NaAc-phenol as co-substrates and different MF intensities were investigated. At low MF intensity, MF-BTF displayed better performance with 0.20g/L of phenol, 53.6-337.1mg/m3 of TCE, and empty bed residence times of 202.5s. The performances followed the order MF-BTF (60.0mT)>MF-BTF (30.0mT)>S-BTF (0mT)>MF-BTF (130.0mT), and the removal efficiencies (REs) and maximum elimination capacities (ECs) corresponded to: 92.2%-45.5%, 2656.8mg/m3h; 89.8%-37.2%, 2169.1mg/m3h; 89.8%-29.8%, 1967.7mg/m3h; 76.0%-20.8%, 1697.1mg/m3h, respectively. High-throughput sequencing indicated that the bacterial diversity was lower, whereas the relative abundances of Acinetobacter, Chryseobacterium, and Acidovorax were higher in MF-BTF. Results confirmed that a proper MF could improve TCE removal performance in BTF.


Subject(s)
Bioreactors , Magnetic Fields , Trichloroethylene , Biodegradation, Environmental , Filtration , Light
2.
Bioresour Technol ; 209: 237-45, 2016 Jun.
Article in English | MEDLINE | ID: mdl-26970927

ABSTRACT

Methyl acrylate is a widely used raw chemical materials and it is toxic in humans. In order to treat the methyl acrylate waste gas, a 3-layer BTF packed with ceramic particles and immobilized with activated sludge was set up. The BTF exhibited excellent removal efficiency that no methyl acrylate could be detected when EBRT was larger than 266s and inlet concentration was lower than 0.19g/m(3). The 1st layer performed the best at fixed inlet concentration of 0.42g/m(3). PCR combined with DGGE was performed to detect the differences in different layers of the BTF. Phylum Proteobacteria (e.g. α-, ß-, γ-, δ-) was predominantly represented in the bacterial community, followed by Actinobacteria and Firmicutes. Desulfovibrio gigas, Variovorax paradoxus, Dokdonella koreensis, Pseudoxanthomonas suwonensis, Azorhizobium caulinodans, Hyphomicrobium denitrificans, Hyphomicrobium sp. and Comamonas testosteroni formed the bacteria community to treat methyl acrylate waste gas in the BTF.


Subject(s)
Acrylates/analysis , Bacteria/metabolism , Environmental Pollutants/analysis , Waste Management/methods , Acrylates/chemistry , Bacteria/classification , Bacteria/genetics , Biofilms , Ceramics , Environmental Pollutants/chemistry , Filtration/instrumentation , Filtration/methods , Humans , Sewage/microbiology , Waste Management/instrumentation
3.
J Chromatogr A ; 1235: 132-40, 2012 Apr 27.
Article in English | MEDLINE | ID: mdl-22402129

ABSTRACT

The presence of perfluorocarboxylates (PFCAs) in the environment is of increasing concern due to their possible toxicity to humans and bioaccumulation in organisms. PFCAs are frequently found in river water, sediment and organisms and sometimes even in groundwater. In order to quantitatively determine these PFCAs, a fast derivatization coupled with a liquid chromatography-ultraviolet detector-electrospray ionization-tandem mass spectrometry (LC-UV-ESI-MS/MS) method was developed. The PFCAs were quantitatively converted to their corresponding phenacyl esters using p-bromophenacyl bromide as the derivatization reagent. Under optimized reaction conditions, the conversion yield of the PFCAs ranged from 86 to 92% with low %RSD. The typical derivatization product (p-bromophenacyl bromide perfluorooctanoate) was characterized by (1)H NMR, (13)C NMR, FT-IR and mass spectrometry. UPLC with a BEH C18 column and CAN/H(2)O (8/2, v/v) as a mobile phase were used to separate the derivatives. The analytes were completely eluted within 6 min and multidimensional detection using UV at 260 nm and ESI-MRM in the negative ion mode were carried out. Bromide isotopic characteristic fragment ions appeared in the first Q1 scans, and four daughter ions of the MRMs at m/z [M-H-222](-), [M-H-250](-), [M-H-278](-) and [M-H-316](-) were used for quantification and confirmation. The mass spectral information ensured accurate identification of the analytes even when the sample matrices were complex. The method successfully eliminated the PFCAs background problems originating from polymeric parts in liquid chromatographic systems. The LODs of the method were lower than 5 ng mL(-1), and the relative standard deviation (RSD%) values ranged from 5.2 to 9.8%. The method was successfully applied for the quantification of PFCAs in river water contaminated by industrial wastewater, and this indicated that the method was useful in the determination of PFCAs in environmental samples.


Subject(s)
Carboxylic Acids/analysis , Fluorocarbons/analysis , Rivers/chemistry , Tandem Mass Spectrometry/methods , Water Pollutants, Chemical/analysis , Chromatography, High Pressure Liquid/methods , Limit of Detection , Spectrophotometry, Ultraviolet
4.
Environ Sci Pollut Res Int ; 17(7): 1379-87, 2010 Aug.
Article in English | MEDLINE | ID: mdl-20352352

ABSTRACT

BACKGROUND, AIM AND SCOPE: The climatic characteristic is a major parameter affecting on the distribution variation of organic pollutants such as polycyclic aromatic hydrocarbons (PAHs). The Tumen River is located in Northeastern of China. The winter era lasts for more than 5 months in a year, and the river water was frozen and covered by ice phase. Coal combustion is an essential heating source in the Tumen River Basin. The objective of this research is to study ice phase effect on the seasonal variation of PAHs in the Tumen River environment. MATERIALS AND METHODS: Samples were collected from 13 sites along the River in March, July, October, and December of 2008. In addition, the ice sample, under ice water and air particulate were also collected in winter. The samples were analyzed for 16 PAHs (naphthalene, acenaphthylene, acenaphthene, fluorene, phenanthrene, anthracene, fluoranthene, pyrene, beazo[a]anthene, chrysene, beazo[b]fluoranthene, benzo[k]fluoranthene, benzo[a]pyrene, indeno(1,2,3-cd)pyrene, dibenz(a,h)anthracene, and benzo(ghi)perylene). The compounds were extracted from the water samples and solid samples using LLE and Soxhlet extraction technique, respectively, and it is determined by gas chromatography-mass spectrometry. RESULTS AND DISCUSSION: Among 16 PAHs, fluorene, phenanthrene, and pyrene were found to be present in high concentrations and at high detection frequencies. The total concentration of PAHs in the water, particulate, sediment and ice phase ranged from 35.1-1.05 x 10(3) ng L(-1), 25.4-817 ng L(-1), 117-562 ng g(-1)and 62.8-136 ng g(-1), respectively. The levels of PAHs were generally higher in spring than other seasons. The ice phase in winter acts like a major reservoir of the pollutants and it is major contributor on the seasonal variation of PAHs in Tumen River. The PAHs found in water, particulate, and sediment in the Tumen River were possibly derived from similar pollution sources a proposition based on the compositions and isomer ratios of PAHs. CONCLUSIONS: The distribution of PAHs was showed clear seasonal variation in the Tumen River environment, the ice phase and air pollution look like an important factor affecting on the seasonal variation. RECOMMENDATIONS AND PERSPECTIVES: The ice phase as an important factor affecting on the seasonal variation of PAHs in Tumen River environment. Further studies regarding the effects of air pollution on the river and the mechanisms of migration and transformation of them in the environment are currently being conducted in our laboratory.


Subject(s)
Carcinogens, Environmental/analysis , Ice/analysis , Polycyclic Aromatic Hydrocarbons/analysis , Rivers/chemistry , Seasons , Water Pollutants, Chemical/analysis , Water/chemistry , Air Pollutants/analysis , Air Pollutants/chemistry , Carcinogens, Environmental/chemistry , Carcinogens, Environmental/isolation & purification , China , Coal , Environmental Restoration and Remediation , Fluorenes/analysis , Fluorenes/chemistry , Gas Chromatography-Mass Spectrometry , Geologic Sediments/chemistry , Particulate Matter/chemistry , Phase Transition , Phenanthrenes/analysis , Phenanthrenes/chemistry , Polycyclic Aromatic Hydrocarbons/chemistry , Polycyclic Aromatic Hydrocarbons/isolation & purification , Pyrenes/analysis , Pyrenes/chemistry , Reproducibility of Results , Stereoisomerism , Water Pollutants, Chemical/chemistry , Water Pollutants, Chemical/isolation & purification
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