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Showing 3 results for Shakerkhatibi

M Shakerkhatibi, H Ganjidoust, B Ayati, E Fatehifar,
Volume 6, Issue 3 (13 2009)
Abstract

Background and Aim: Acrylonitrile (ACN) is widely used as a main raw material in the Acrylonitrile-Butadiene-Styrene (ABS) resin-manufacturing units and other industrial and commercial processes. ACN, due to its toxicity, is not easily decomposed by microorganisms. The discharge of improperly treated ACN-containing wastewater into a natural water body may cause serious environmental problems and severe adverse impact on the aquatic ecology. This study attempts to isolate and identify bacteria which utilize ACN as the sole source of carbon and nitrogen from the activated sludge of petrochemical wastewater treatment system. The performance of the isolated strains in treating different initial ACN concentrations was also investigated under aerobic conditions. In addition, the performance of biodegradation and the metabolic intermediates and end-products in the process were determined.

Materials and Methods: Experiments were conducted with three batch reactors, the volume of each one being 250 mL. The activated sludge samples as a microbial seeding were taken from the return sludge line of the aeration tank of the wastewater treatment facility in Tabriz Petrochemical Complex. Phosphate-buffered medium (PBM) was used to make available minerals and trace elements, and ACN was used as the sole carbon and nitrogen source for microbial growth. R2A medium was used to obtain pure colonies, and to identify the isolated strain, Gram staining and microscopic examination followed by biochemical and physiologic analyses using selective media such as O-F glucose, MacConkey agar, TSI agar, EMB and SS agar, nitrate reduction, gelatin liquefaction, lactose fermentation, oxidase, catalase and SIM were used. In the final stage, the performance of biological systems in degrading different initial concentrations of ACN and its intermediate and end-products were investigated.

Results: The findings indicated that when the ACN concentration was 500 mg/L, the average removal efficiency after 46 and 70 h reached 46% and 98%, respectively. But at an initial concentration of 700 mg/L, the removal efficiency of the ACN in the biological system was 50% after 46 h and 98.6% after 94 h . However, when the ACN concentration was increased to 1000 mg/L, the removal efficiency after 46 and 94 h was only 30% and 40%, respectively, and after 118 h of reaction, the remaining concentration of ACN was about 580 mg/L. Furthermore, the results of isolation and identification experiments revealed that at the optimum operation of the biological system the strain belonging to the gamma group of Proteobacteria as Pseudomonas putida had the best ability to degrade ACN.

Conclusion: Biological processes can degrade ACN and the abilities of different bacterial strains in this degradation vary. The rod-shaped Gram-negative P. putida could easily adapt to ACN concentrations up to 700 mg/L and utiliz ACN and its intermediate- and end-products as a carbon and nitrogen source for growth in the process. Thus, this strain is expected to play an important role in aeration tanks for treating ABS resin-manufacturing wastewater.


M Mosaferi, M Shakerkhatibi, A Mehri Badloo,
Volume 8, Issue 4 (20 2011)
Abstract

Background and Aim: Recently the use of heterotrophic plate count (HPC) has received much attention as a supplementary indicator of the MPN test in water quality control. The US Environmental Protection Agency (USEPA) has declared 500 cfu/mL as the maximum acceptable level for heterotrophic bacteria in distribution networks. Currently the HPC determination is not among the routine control items in Tabriz city and there is no published information on the presence of heterotrophic bacteria in that city's potable water. In this study the presence of HPC in potable water main was determined in Tabriz city, Iran.
Materials and Methods:
A total of 50 water samples, representing drinking water of the whole city of Tabriz, were taken randomly from different districts of Tabriz city and their HPC, coliform, residual chlorine, turbidity, temperature, and pH were measured. For the heterotrophic bacteria the R2A and Nutrients Agar culture media were used, while the spread plate count method was used for the HPC test. The statistical tests used for data analysis were the t-test and regression.
Results:
In 50% of the samples heterotrophic bacteria were present. In 6 districts the HPC was higher than 500 cfu/mL. Based on Nutrient Agar and R2A, the HPC indicator in Tabriz drinking water was 184±340 and 154±315 cfu/mL, respectively, the growth rate being higher in the former medium. There was a significant correlation between the HPC and residual chlorine in both media (for Nutrients Agar, p<0.05 R= -0.347, and for R2A, p<0.05 R= -0.312). Also, there was a significant positive correlation between the HPC and pH (p<0.05). Further analysis of the data showed that the correlation between HPC values in both media was also significant (p<0.95, R= 0.95).
Conclusion: The presence of heterotrophic bacteria in 50% of the water samples tested indicates that drinking water contamination with these bacteria is a public health problem in Tabriz city. As a result, monitoring of HPC at least once every 6 or, at least, 12 months, together with coliform bacteria, and the comparison of the results over time can help to better determine water quality in the distribution system, as well as boost the system operation and ensure drinking water with a high quality.
Mohammad Asgharijafarabadi, Mohammad Shakerkhatibi, Razieh Azak, Masoud Shakeri,
Volume 13, Issue 1 (6-2015)
Abstract

  Background and Aim: A ssociations between air pollution and morbidity have been reported in several studies. Due to limited publications in the literature for Iran, this study aimed to determine the association between air pollution and hospital admissions of respiratory disease patients in Tabriz, Iran.

  Materials and Methods: The methodology used in this study was case -crossover and the artificial neural network model. The variables of the model included air quality, hospital admission and air pollutants. Daily hospital admission data were collected from five hospitals in Tabriz, Iran based on the International Classification of Diseases (ICD-10) , air quality data including NO2, SO2, CO, PM10 and O3 from the six fixed online air quality monitoring stations, and the daily mean temperature and relative humidity data for the same period from the East Azerbaijan Meteorological Bureau.

  Results : P articulate matter with a median aerometric diameter <10 μm (PM10) was found to be the most important pollutant affecting respiratory hospital admissions. The ANNs data showed that the most important causes of hospital admissions were for COPD NO2, NO and CO, for respiratory infections PM10, and for asthma PM10, O3 and CO. The highest associations were observed between hospital admissions due to COPD and asthma in females and those due to respiratory infections in males. The elderly (individuals over 65 years old) were at the highest risk.

  Conclusion: The results show a significant relation between air pollutants and respiratory hospital admissions in Tabriz, Iran. The importance and necessity of enforcement of existing regulations and enacting laws to prevent and control the adverse health effects of air pollution are confirmed.



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