Evaluating the efficiency of carbon utilisation via bioenergetics between biological aerobic and denitrifying phosphorus removal systems.

There are two biological systems available for removing phosphorus from waste water, conventional phosphorus removal (CPR) and denitrifying phosphorus removal (DPR) systems, and each is characterized by the type of sludge used in the process. In this study, we compared the characteristics associated with the efficiency of carbon utilization between CPR and DPR sludge using acetate as a carbon source. For DPR sludge, the heat emitted during the phosphorus release and phosphorus uptake processes were 45.79 kJ/mol e- and 84.09 kJ/mol e-, respectively. These values were about 2 fold higher than the corresponding values obtained for CPR sludge, suggesting that much of the energy obtained from the carbon source was emitted as heat. Further study revealed a smaller microbial mass within the DPR sludge compared to CPR sludge, as shown by a lower sludge yield coefficient (0.05 gVSS/g COD versus 0.36 gVSS/g COD), a result that was due to the lower energy capturing efficiency of DPR sludge according to bioenergetic analysis. Although the efficiency of anoxic phosphorus removal was only 39% the efficiency of aerobic phosphorus removal, the consumption of carbon by DPR sludge was reduced by 27.8% compared to CPR sludge through the coupling of denitrification with dephosphatation.

Isolation and characterization of polycyclic aromatic hydrocarbon-degrading bacteria with tolerance to hypoxic environments.

Hypoxic conditions are considerably different from aerobic and anaerobic conditions, and they are widely distributed in natural environments. Many pollutants, including polycyclic aromatic hydrocarbons (PAHs), tend to accumulate in hypoxic environments. However, PAH biodegradation under hypoxic conditions is poorly understood compared with that under obligate aerobic and obligate anaerobic conditions. In the present study, PAH-degrading bacteria were enriched, and their biodegradation rates were tested using a hypoxic station with an 8% oxygen concentration. PAH-degrading bacteria collected from sediments in low-oxygen environments were enriched using phenanthrene (Phe) or pyrene (Pyr) as the sole carbon and energy source. Individual bacterial colonies showing the ability to degrade Phe or Pyr were isolated and identified by 16S rDNA gene sequencing. Morphological and physiological characterizations of the isolated bacterial colonies were performed. The isolated bacteria were observed by scanning electron microscopy (SEM) and were identified as Pseudomonas sp., Klebsiella sp., Bacillus sp., and Comamonas sp. Phylogenetic tree of the isolated PAH-degrading bacteria was also constructed. The biodegradation ability of these bacteria was tested at an initial Phe or Pyr concentration of 50 mg L-1. The biodegradation kinetics were best fit by a first-order rate model and presented regression coefficients (r2) that varied from 0.7728 to 0.9725 (P < 0.05). The half-lives of the PAHs varied from 2.99 to 3.65 d for Phe and increased to 60.3-82.5 d for Pyr. These half-lives were much shorter than those observed under anaerobic conditions but were similar to those observed under aerobic conditions.

[Spectroscopic study on the performance of 1,3-thiacalix [4] rhodamine ethyldiamine amide derivatives to Fe3+ ion].

The two di-substituted rhodamine-based thiacalix[4]arene ethyldiamine amide derivative were synthesized from thiacalixrene and rhodamine B ethyldiamine by acylation. Under the experimental conditions, the derivatives and Fe3+ are able to form a 1:1 complex. The formation of complex leaded to the moiety opening of rhodamine, and showed the good fluorescent and colorimetric performance. Among them, the selectivity of 1, 3-thiacalix[4] rhodamine ethylenediamine amide-2, 4-ester to Fe3+ is higher than 1,3-thiacalix [4] rhodamine ethylenediamine amide-2,4-acid. The analysis feature of the probes response to Fe3+ was studied by spectroscopy, and synthetic samples were determinec.

Phosphate removal from source separated urine by electrocoagulation using iron plate electrodes.

The aim of this study was to investigate the effects of current density, gap between electrodes, urine dosage, dilution and hydrolysis on phosphate removal from human urine by electrocoagulation technique using iron as electrodes. It was shown that, although a high current density and a long electrolysis time favored the removal of phosphate, an appropriate value for these two parameters can be obtained by taking into account the consumption of energy and iron in addition to P removal. In this study, current density 40 mA/cm2 and electrolysis time 20 min were shown to be optimal for 1.0 L pure urine to achieve nearly a complete removal (98%) efficiency of phosphate under the conditions of electrode area 160 cm2, the stirring speed 150 rpm, and the gap between electrodes 5 mm. Increase of gap between electrodes had little effect on phosphate removal, although it increased the energy consumption dramatically. The use of a high urine dosage reduced the efficiency of phosphate removal but increased the amount of removed phosphate. When pure urine was diluted with tap water, use of a higher tap water proportion for dilution expedited the electrolysis to achieve a nearly complete removal of phosphate in solution, but dilution caused the increase in energy consumption. It was also revealed that the hydrolysis of urine prior to electrocoagulation treatment impeded phosphate removal.

[Early-warning and prediction technology of harmful algal bloom: a review].

Harmful algal bloom (HAB) occurs frequently and causes serious damage. To study the early-warning and prediction technology of HAB is of significance for the early-warning and prediction, ecological control, and disaster prevention and mitigation of HAB. This paper reviewed the research progress in the early-warning and prediction technologies of HAB, including transport prediction, specific factors critical value prediction, data-driven model, and ecological math model, and evaluated the advantages and disadvantages of these four types of technologies. Some new ideas were brought forward about the prediction of cyanobacterial growth rate based on cell characteristics, and the early-warning of cyanobacterial bloom based on algal community characteristics.