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Investigation of the Relationship Between the Level of Fine Particulate Matter and Stroke Mortality Rate in Mashhad in 2014 and 2015. HEALTH SCOPE 2020. [DOI: 10.5812/jhealthscope.99447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Air pollution is a major social problem, particularly in developing countries, where the rapid expansion of industries, cities, and traffic is the main cause of increased air pollution. Objectives: This ecological study (correlation) has been conducted with the aim of analyzing the correlation between ambient fine particulate matter (PM2.5) amount and the rate of stroke mortality in Mashhad during the years 2014 and 2015. Methods: Data were collected from hospitals, the Monitoring Center of Environmental Pollutants, and the Bureau of Meteorology in Khorasan Razavi Province and were analyzed to evaluate the correlation. Results: The results show that the correlation coefficient between PM2.5 and the rate of stroke mortality in different seasons in 2014 and 2015 are 0.997 and 0.902, respectively. The correlation was stronger in 2014 and is significant at a confidence level of 0.01. Conclusions: According to the results, the annual average concentration of PM2.5 decreased from 29.261 (μg/m3) in 2014 to 25.283 (μg/m3) in 2015, and also, the annual rate of stroke mortality decreased by 4.4% in 2015.
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Zare MR, Dehghani M, Fakhraei Fard A. Investigating the relationship between synergistic effects and diversity of four widely used agricultural pesticides by using bacterial species in liquid culture medium. ENVIRONMENTAL MONITORING AND ASSESSMENT 2020; 192:176. [PMID: 32062749 DOI: 10.1007/s10661-020-8125-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 01/28/2020] [Indexed: 06/10/2023]
Abstract
Interactive effects of mixtures of pesticides on bacteria are rarely investigated. The aim of this study was to investigate the cumulative, synergistic, and antagonistic effects of four widely used agricultural pesticides including deltamethrin, diazinon, chlorpyrifos, and 2,4-dichlorophenoxyacetic acid (2,4-D) on Pseudomonas, Aeromonas, and Bacillus bacteria. The reduction of alamar blue, as an indicator of bacterial activity, was measured using a spectrophotometer at 600-nm wavelength. Data were analyzed using SPSS 24.0 software. The binary mixtures of pesticides had mainly antagonistic and additive effects, but quadruple mixtures of pesticides had synergistic effects on all of the three bacterial species. In the mixtures of pesticides, increasing the number of compounds leads to more synergistic effects.
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Affiliation(s)
- Mohammad Reza Zare
- Department of Environmental Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| | - Mansooreh Dehghani
- Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran.
- Faculty of Health, Shiraz University of Medical Sciences, P.O. box: 111, Shiraz, 71645, Iran.
| | - Atefeh Fakhraei Fard
- Department of Environmental Health Engineering, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran
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Rahmani A, Asadi A, Fatehizadeh A, Rahmani AR, Zare MR. Interactions of Cd, Cr, Pb, Ni, and Hg in their effects on activated sludge bacteria by using two analytical methods. ENVIRONMENTAL MONITORING AND ASSESSMENT 2019; 191:124. [PMID: 30710209 DOI: 10.1007/s10661-019-7241-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2018] [Accepted: 01/16/2019] [Indexed: 06/09/2023]
Abstract
Since trace metals rarely appear singly in industrial effluents, it is a major challenge to address combined effects of such toxicants on biological units of wastewater treatment plants. The aim of this study was interaction assessment of Cd, Cr, Pb, Ni, and Hg in their effects on activated sludge bacteria using analytical methods. Two mathematical models were used to determine the effect of binary mixtures of Hg, Cd, Cr, Pb, and Ni on activated sludge bacteria using a dehydrogenase enzyme assay. Calculated EC50 values were compared to experimentally observed values of mixtures. Interactive effects were counted to be antagonistic for Hg and Cd, Cd and Pb, Cd and Ni, and Cr and Pb, synergistic for Cd and Cr and Hg and Cr, and additive for other binary mixtures. Maximum toxicity was related to Hg and Cr, Cd and Cr, and Hg and Cd. Physicochemical monitoring of single metals may underestimate hazards arising from these pollutants in environmental samples. Therefore, any possible interaction between metals in such environments should be considered when establishing environmental safety standards.
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Affiliation(s)
- Ayat Rahmani
- Research Center for Health Sciences and Technologies, Semnan University of Medical Sciences, Semnan, Iran
| | - Anvar Asadi
- Research Center for Environmental Determinants of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Ali Fatehizadeh
- Department of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Abdol Rasool Rahmani
- Department of Occupational Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran
| | - Mohammad Reza Zare
- Department of Environmental Health Engineering, School of Health, Larestan University of Medical Sciences, Larestan, Iran.
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Toolabi A, Malakootian M, Ghaneian MT, Esrafili A, Ehrampoush MH, AskarShahi M, Tabatabaei M. Modeling photocatalytic degradation of diazinon from aqueous solutions and effluent toxicity risk assessment using Escherichia coli LMG 15862. AMB Express 2018; 8:59. [PMID: 29671083 PMCID: PMC5906421 DOI: 10.1186/s13568-018-0589-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Accepted: 04/07/2018] [Indexed: 12/07/2022] Open
Abstract
In this study, modeling and degradation of diazinon from contaminated water by advanced oxidation process together with a new test for effluent bioassay using E. coli were investigated. The experiments were designed based on response surface methodology. Nanoparticles (NPs) were synthesized using the sol–gel method. The shape characteristics and specifications of elements in the nanoparticles were characterized using scanning electron microscope and energy dispersive X-ray, respectively. Diazinon was measured using high performance liquid chromatography device and by-products due to its decomposition were identified by gas chromatography-mass (GC–MS). In the present study, effluent bioassay tests were conducted by defining the rate of dehydrogenase enzyme reducing alamar blue method. According to statistical analyses (R2 = 0.986), the optimized values for pH, dose of NPs, and contact time were found to be 6.75, 775 mg/L, and 65 min, respectively. At these conditions, 96.06% of the diazinon was removed. Four main by-products, diazoxon, 7-methyl-3-octyne, 2-isopropyl-6-methyl-4pyrimidinol and diethyl phosphonate were detected. According to the alamar blue reducing (ABR) test, 50% effective concentration, no observed effect concentration, and 100% effective concentration (EC100) for the mortality rate of E. coli were obtained as 2.275, 0.839, and 4.430 mg/L, respectively. Based on the results obtained, it was found that mentioned process was high efficiency in removing diazinon, and also a significant relationship between toxicity assessment tests were obtained (P < 0.05).
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Toolabi A, Malakootian M, Ghaneian MT, Esrafili A, Ehrampoush MH, Tabatabaei M, AskarShahi M. Optimization of photochemical decomposition acetamiprid pesticide from aqueous solutions and effluent toxicity assessment by Pseudomonas aeruginosa BCRC using response surface methodology. AMB Express 2017; 7:159. [PMID: 28789482 PMCID: PMC5544660 DOI: 10.1186/s13568-017-0455-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 07/13/2017] [Indexed: 12/30/2022] Open
Abstract
Contamination of water resources by acetamiprid pesticide is considered one of the main environmental problems. The aim of this study was the optimization of acetamiprid removal from aqueous solutions by TiO2/Fe3O4/SiO2 nanocomposite using the response surface methodology (RSM) with toxicity assessment by Pseudomonas aeruginosa BCRC. To obtain the optimum condition for acetamiprid degradation using RSM and central composite design (CCD). The magnetic TiO2/Fe3O4/SiO2 nanocomposite was synthesized using co-precipitation and sol–gel methods. The surface morphology of the nanocomposite and magnetic properties of the as-synthesized Fe3O4 nanoparticles were characterised by scanning electron microscope and vibrating sample magnetometer, respectively. In this study, toxicity assessment tests have been carried out by determining the activity of dehydrogenase enzyme reducing Resazurin (RR) and colony forming unit (CFU) methods. According to CCD, quadratic optimal model with R2 = 0.99 was used. By analysis of variance, the most effective values of each factor were determined in each experiment. According to the results, the most optimal conditions for removal efficiency of acetamiprid (pH = 7.5, contact time = 65 min, and dose of nanoparticle 550 mg/L) was obtained at 76.55%. Effect concentration (EC50) for RR and CFU test were 1.950 and 2.050 mg/L, respectively. Based on the results obtained from the model, predicted response values showed high congruence with actual response values. And, the model was suitable for the experiment’s design conditions.
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Sarkhosh M, Shamsipour A, Yaghmaeian K, Nabizadeh R, Naddafi K, Mohseni SM. Dispersion modeling and health risk assessment of VOCs emissions from municipal solid waste transfer station in Tehran, Iran. JOURNAL OF ENVIRONMENTAL HEALTH SCIENCE & ENGINEERING 2017; 15:4. [PMID: 28286657 PMCID: PMC5341192 DOI: 10.1186/s40201-017-0268-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 02/09/2017] [Indexed: 05/07/2023]
Abstract
BACKGROUND The waste transfer stations (WTSs) is one of the most important factors affecting on environment and human health. This research is aimed to evaluate health risk of VOCs among WTS personnel and provide a model for dispersion of VOCs. The Air Pollution Model (TAPM) is able to simulate WTS emissions dispersion over each town. RESULT GC-MS was used to analysis collected gas samples to detect and estimate carcinogenic and non-carcinogenic VOCs health risks. The total lifetime cancer risk values for the all personnel (3.30E-05), was more than acceptable limit (1.00E-06). Furthermore, hazard ratio (HR) of 1,2,3-trimethylbenzene, 1,3-dichloropropane, toluene, m,p-xylene and ethylbenzene were 3.7, 1.9 E-01, 4.4 E-03, 5.5 E-02 and 1.5 E-03, respectively, and total HR of the mentioned compounds were more than accepted limit (HR < 1.00). IOA is 0.85 and RMSE is 2.16 and TAPM has a good performance. The VOCs level is considerable in 1600 m far from the WTS particularly in summer that require more attention. CONCLUSION The exposure to VOCs was at a high level in WTS, and some controlling strategy should be used for decreasing the pollution and protecting the citizens and personnel against non-cancerous and cancerous risks.
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Affiliation(s)
- Maryam Sarkhosh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - AliAkbar Shamsipour
- Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran
| | - Kamyar Yaghmaeian
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Ramin Nabizadeh
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Kazem Naddafi
- Department of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Center for Air Pollution Research (CAPR), Institute for Environmental Research (IER), Tehran University of Medical Sciences, Tehran, Iran
| | - Seyed Mohsen Mohseni
- Department of Environmental Health Engineering, School of Public Health, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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