Lipases have many applications in biotechnology, thanks to their ability of acylglycerides hydrolysis. They alsp possess the unique feature of acting at the lipid-water interface, which distinguishes them from esterases. Commercially useful lipases are produced by microorganisms with the extracellular lipase being produced by many bacteria including Pseudomonas. The greatest production of lipase takes place under optimum conditions such as appropriate temperature, suitable carbon, nitrogen sources, etc. This study tries to collect lipase-producing bacteria from the soil of oil-extraction factories and identify isolated bacteria, while creating optimum conditions for lipase production by bacteria. Having collected three soil samples from an oil extraction factory, lipase-producing bacteria have been identified, based on biochemical and morphological tests. Finally the optimal conditions for lipase production as well as molecular analysis has been evaluated. During the study, among the different bacteria, the strain to produce highest lipase has been selected. It has been found out that the optimal conditions for lipase production by this strain is as follows: 48 hours of incubation; incubation temperature of 37 °C; pH of 7; agitation speed of 150 rpm; peptone extract as the nitrogen source; and olive oil as a carbon source. A lipase-producing bacterium has been identified based on morphological, physiological, and biochemical characteristics as well as 16S rRNA analysis, identified as Pseudomonas spp.

The current paper determines heavy metals in sediments of six freshwater wetlands of greater Dhaka district from November 1999 to September 2000. The sampling took place in summer, rainy season, and winter, wherein for each season five soil samples were collected from the wetland at a depth of 0 – 15 cm. To assess the status of heavy metal pollution in the sediments, geo-accumulation factor (Igeo), contamination factor (CF), degree of contamination (Cd), and enrichment factor (EF) have been evaluated, with the concentrations of Cd, Mn, Ni, Zn, Cu, Fe, and Pb in the sediments ranging within 0.005 – 0.055 mg/kg, 35.0 – 275.04 mg/kg, 0.35 – 2.19 mg/kg, 0.77 – 12.54 mg/kg, 4.11 – 19.17 mg/kg, 115.60 – 955.94 mg/kg, and 1.82 – 3.93 mg/kg, respectively, standing in the following order: Fe > Mn > Cu > Zn > Pb > Ni > Cd. The maximum concentrations of Mn, Ni, and Pb belonged  to summer. Significant temporal variation was observed only in case of Cd, whereas concentrations of Cd, Fe, and Mn varied spatially. The Igeo for Mn indicates a strongly to extremely polluted condition in wetlands, whereas that of Ni and Pb show moderately polluted condition, and for Zn and Cu, it suggests moderately to strongly polluted conditions. The CF values for heavy metals in sediment have been below 1, indicating low contamination. In addition, Cd < 6 indicates low degree of heavy metal contamination. The EF for heavy metals in wetland sediments are in the following order: Cu>Mn>Pb>Cd>Zn>Ni, suggesting that the sediments very highly rich in Cu, while Mn, Pb, and Cd exhibit significant enrichment. In the studied wetlands the EF for Zn and Ni shows moderate and deficiency to minimal enrichment, respectively. Implications of these findings can be used as baseline information to monitor and assess the degree of sediment pollution in lentic wetlands.

Agricultural intensification is associated with the use of great amounts of agrochemicals that may result in the accumulation of metals in soils, and –subsequently—agricultural products and food chain. Nowadays, this is a major concern for many Iranian agricultural products, necessitating scientific researches on the issue. Therefore, the present study has been conducted to evaluate the level of metal contamination in some agricultural products of Torbat-e Jam, Iran, with the following purposes: (i) to determine concentrations of cadmium (Cd), nickel (Ni), and lead (Pb) in melon (Cucumis melo var. inodorus), sugar beet (Beta vulgaris), and maize (Zea mays) as well as water and soils of some farms in Torbat-e Jam, Iran; and (ii) to examine chemical fertilizers as a possible source of heavy metals' contamination. To do so it has taken some samples from soils, irrigation waters, chemical fertilizers, and crops, measuring their heavy metals contents by means of atomic absorption spectrometry. Results show that heavy metals' concentrations in groundwater and soil were lower than the adopted global standards. Among fertilizers, only Cd content of triple-superphosphate was higher than the standards, leading to a substantial buildup of Cd in the soil, compared to Pb. The greater use of potassium fertilizer has increased Pb concentration in the soil samples of maize farms during the growing season. Among all elements, Pb had the greatest transfer coefficient. It seems that current farm management practices as well as excessive use of chemical fertilizers may further the contamination and loss of soil quality in agricultural systems of the region.

River Ganga is one of the prime sacred National Rivers of India, closely associated with economic, social, and cultural heritage of Indian people. Recently, it has been subjected to immense degradation and pollution as a result of receiving huge amounts of domestic and industrial wastewater as well as religious ritual activities and surface runoff. The present study attempts to study spatial and temporal changes in water quality of River Ganga while calculating its Water Quality Index (WQI) by analyzing 9 physico-chemical, 7 trace metal, and 4 microbiological parameters at eleven sampling stations, on the basis of River Ganga index of Ved Prakash. Thus it can assess water’s suitability for drinking and irrigation purposes along with other human uses. The study is directed towards the use of WQI to describe pollution level in the river for a period of 1 year (from January to December 2014). It has been shown that index values as per CPCB class range between medium to good, while the ones as per NSF Index range from bad to good water quality. The study also identifies critical pollutants, affecting the river water quality within its course through the city. Finally, pH, DO, BOD, DO, EC, and FC have been found to be critical parameters for the stretch in each season of this research.

The present study has used soil samples from Nigeria, contaminated with Brass crude-oil, to determine its biodegradation through enhanced biostimulation with cow dung and periodic aeration. Over a period of twenty-eight days, the hydrocarbon-utilizing bacteria (HUB) and hydrocarbon-utilizing fungi (HUF) have been counted and identified. Results from biodegradation of the brass crude-oil over the aforementioned period show that amended crude-oil-spiked soil has had 54.82% degradation while for amendment and periodic turning this has been 55.90%, not significantly higher than the former at p≤0.05. Also degradation of spiked soil without cow dung amendment has been 16.13%. The identified HUB are Staphylococcus aureus, Pseudomonas aeruginosa, Bacillus subtilis, and Streptococcus thermophillus, with individual occurrence of 18.52% as well as Proteus vulgaris and Micrococcus luteus with 11.11% and 14.81% occurrence, respectively. Also, the occurrence rate of HUF like Aspergillus flavus, A. niger, Penicillium chrysogenum, Trichothecium roseum, and Penicillium citrinum have been 15.63% each;whilefor Alternaria alternata and Neurospora crazza it has been 6.25% and for Saccharomyces cerevisae and A. fumigatus, 9.38%and3.13%, respectively. The study concludes that amendment with cow dung and periodic turning of the soil enhance degradation of Brass crude-oil significantly. What is more, aeration by periodic turning slightly improves degradation only with cow dung treatment on Days 21 and 28.

The present study applies the model of American Meteorological Society-Environmental Protection Agency Regulatory Model (AERMOD) to investigate NO2 emissions from Besat thermal power plant, which is fuelled by natural gas to function. Results indicate that the simulated concentration of NO2 based on AERMOD, does not exceed NO2 concentration limit, set by the Iranian Ambient Air Quality Standard. This shows that NO2 emissions from Besat power plant do not have any significant impact on nearby communities. The natural-gas-based power plant is capable of reducing the air pollution level. It also can decrease the hospital treatment costs, thus protecting public health. The modeling results shows that natural-gas-based power plant as a clean technology in power generation. Also, the AERMOD model has been used to determine the pollution source matrix of Besat power plant. An innovative idea has been implemented to not only determine air-pollution-related taxes and complexities but to solve the legal problem associated with it, also. As for the complexities, their determination entails two different methods: one, based on city's boundaries along with simulated amount of air pollutant concentrations in each receptor, and the other, based on the population of each receptor (i.e., the cities of Varamin, Eslamshahr, and Nasirshahr), which plays a vital role. According to the first approach, Varamin has the lion's share in the air pollution, caused by Best power plant. However, the second approach surprisingly shows that the largest portion belongs to Eshalmshahr, indicating the significant influence of its population.

Petroleum hydrocarbon contamination is a major global prevalent issue in the petroleum sector. This research focuses on evaluating biodegradation of three Gram-negative bacilli, isolated from cowpea planted soil, contaminated with kerosene. The Gram negative bacilli strains have been characterized and identified, using MicrobactTM ID24E systems for the identification of Enterobacteriaceae and common Miscellaneous Gram-Negative Bacilli (MGNB). The identified organisms include Aeromonas hydrophila, Vibrio parahaemolyticus, and Actinobacillus sp. with the biodegradation indices, monitored for the evaluation of their degrading abilities, being Optical density at 600 nm (OD600nm), pH, and emulsification stability. The chemical profile of single cultures and mixed cultures (consortia) on the jet fuel hydrocarbon has been determined by means of Gas Chromatography Mass Spectrometry (GC-MS), the results of which indicate that all the isolates have undergone above 70% reduction of the hydrocarbon substrates in terms of residual compounds. There has been 48 hydrocarbon compounds in the undegraded jet fuel which, following degradation process, decrease to 5, 13, 7, 10, 6, 9, and 10 compounds for Aeromonas hydrophila, Vibrio parahaemolyticus, Actinobacillus sp., Aeromonas hydrophila and Vibrio parahaemolyticus, Aeromonas hydrophila and Actinobacillus sp., Vibrio parahaemolyticus and Actinobacillus sp., Aeromonas hydrophila, Vibrio parahaemolyticus,and Actinobacillus sp., respectively. The degradation efficiency of the isolates have been relatively high and comparable to the control. Results from this study indicate that all the strains, especially the consortia, are potential candidates for remediating the problem of hydrocarbon contamination in the environment.

Nacharam and its surroundings, located inside the city of Hyderabad in Telangana State, India, is vulnerable to water-borne diseases; therefore, the present research works on concentrations of dissolved hexavalent chromium (57－263 mgL-1), lead (34－65 mgL-1), cadmium (2.3－22.4 mgL-1), and nickel (from below detection limit to 6.5 mgL-1) in different surface water and groundwater bodies of this area. Results indicate that with the exception of nickel, the majority of studied water bodies and aquifers of the area are contaminated, to variable degrees, with dissolved heavy metals. Also health-affecting bacterial and fungal colonies have been found in drinking water and groundwater bodies of the area. These findings collectively point at impending health threats to the residents of the area, thus this study has conducted a health survey, whose data indicate that about two third of the residents are affected by waterborne ailments, including hair fall, skin rashes, tooth decay, diarrhea, and joint pain. Hair fall is one of the major problems affecting about 40% of the area population. Other waterborne health-related issues are faced by relatively smaller numbers of residents (10% or less).  Based on the results from this study, it is recommended not only to conduct periodic analyses of water samples used for drinking and other purposes, which would assist the government and local authorities in taking necessary steps to prevent groom and spread of microorganisms, but also to monitor other anthropogenic activities, potentially capable of contaminating water sources, .

The current study aims at modelling the dispersion of two pollutants, namely CO (carbon monoxide) and SO2 (sulfur dioxide) released from District 7 of Tehran Municiaplity, from 20 main line sources, by means of CALPUFF modeling system. CALPUFF is a non-steady state puff modeling software which employs meteorological, terrain, and land-use data to effectively simulate air pollutants' dispersion from a given source. CALMET software has been applied to provide meteorological conditions within the study domain. The study has been carried out on September 30, 2012 and shows that the modeled concentrations have been below both Iranian air ambient standard and NAAQS standard for CO and SO2. It also compares the measurements from the monitoring station of Setad Bohran, showing that the simulated hourly mean concentrations of the SO2 and CO do not follow similar temporal patterns for measurement values. For the absolute value, model results seem to be highly underestimated, compared to the monitored data (R2 = -0.41).

The present study prepares alkali lignin (AL) via acidification of black liquor, obtained from a pulp and paper factory. The average molecular weight of AL (equal to 2,530 g/mol) has been determined with gel permeation chromatography. AL has been modified by ethylene glycol, while lignin nanoparticles (LN) has been prepared through acid precipitation technology, their size being assessed by means of DLS to show that the average diameter of the nanoparticles at pH = 4 has been 52.7 nm. Afterwards, it has used AL and LN to remove Basic Red 2 (BR2) from aqueous solutions. The absorbent structures and morphologies of AL and LN have been investigated using SEM, and FT-IR spectroscopy. The optimal conditions for the absorption of AL and LN, using 0.1 gr of the absorbent, include 100 min of duration, at pH of 7, and an initial dye concentration amounting to 100 mg/L. Furthermore, the absorption amount has been mathematically described as a function of experimental parameters, modeled by means of Response Surface Methodology (RSM). A central composite design (CCD) has been applied to evaluate the impacts of four independent variables. Optimum absorption values, obtained via empirical methods, completely match with the values, calculated by the program called Design-Expert. Both absorbent AL and LN show agree with Langmuir Isotherm with maximum absorption capacities of AL and LN being 55.2 mg/gr and 81.9 mg/gr, respectively. The experimental results show that both absorbent LN and AL follow both pseudo-second kinetic and the intraparticle diffusion models.