Showing 5 results for Aerosol
A Kasaei Nasab, A Karimi, M Jahangiri, A R Daraeinejad, R Rostami,
Volume 3, Issue 1 (5-2013)
Abstract
Introduction: Exposure to Bioaerosols is related to a grand range of sanitation’s effects including intense poisoning effects, allergy and cancer. This study has done to determine the type and concentration Bioaerosols in the air of one of the industrial live stocks slaughterhouse in Shiraz.
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Material and Method: A total of 112 air samples from different parts of industrial live stocks slaughterhouse are collected in this cross-sectional study. According to the NIOSH method, Bioaerosols sampling was done in blood agar medium and dextro agar and by Anderson one-stage sampler with flow rate of 28.3 Lit/min, sampling duration of 10 minutes and concentration measured in CFU/m3.
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Result: According to the result, the most pollution is in blood cook place (3281.44 CFU/m3) and the least pollution exists in meat delivery place (99.1 CFU/m3 ). Also the result of the study showed that Bioaerosols concentration in industrial live stocks slaughterhouse is 28 times more than its concentration in reference site. Which is 5 km from slaughterhouse and 5 species of fungi were observe which aspergillus niger and penicillium were dominat.
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Conclusion: Bioaerosols concentration in live stocks industrial slaughterhouse is higher than the threshold limit and suggested range. Therefore, it is essential to take measures, such as improving the process and technical-engineering interventions including the use of suitable ventilation systems and also management personal monitoring measures.
M. Ghasemkhani, M. Sheikh Alishahi, M. Asghari,
Volume 4, Issue 2 (7-2014)
Abstract
Introduction: IBioaerosols are usually defined as aerosols or particles with microbial, plant or animal origin. Textile industries are of the working environments in witch workers are exposed to bioaerosols. In textile industry, the highest contamination concentration is the belonged to carding step. Since, textile industry in iran is native and a large number of employers are working in this industry, this study was undertaken to assess bacterial bioaerosols concentration in a textile in industry in iran.
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Material and Method: In cross-sectional study was done in different units and also outdoor environment of a cotton textile plant. The concentration of bioaerosols were sampled and measured according 0800 method presented by NIOSH, during summer. Diagnosis of type of colonies and bactories, grown on blood agar, was done using gram staining.
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Result: The mean bioaerosols concentration obtained the highest and lowest values in outdoor environment (94±9.5 CFU/m3) and unit 2 (Ring site) (64±18.0 CFU/m3), respectively. The mean difference of bioaerosols concentration in unit 1 (Carding sites) and unit 2 (Ring site), was statistically significant in this study. The highest number of bioaerosols colony was for staphylococcus Epiderms (N=1743) and the lowest number was for streptococcus pneumonia (N=64) in the whole plant.
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Conclusion: Although the bioaerosols concentration obtained in the present study is lower than those reported in other studies, these values are above the threshold recommended.
Farnaz Valedeyni Asl, Sadegh Hazrati, Mohsen Arzanlo, Mehdi Fazlzadeh,
Volume 8, Issue 1 (4-2018)
Abstract
Introduction: Microorganisms in hospitals are potential sources of infection to patients and staffs. Bioaerosol exposure is associated with a vast range of adverse health effects including infectious diseases, acute toxic effects, allergy. This study aimed to survey the type and density of bioaerosols in ambient air of different wards of educational hospitals Ardabil in 2016.
Material and Method: This cross-sectional study was conducted in 2 educational hospitals of Ardabil city in 2016. ZTHV02 sampler and Tryptic soy Agar along with Cycloheximide antibiotic were used to evaluate and determine the airborne bacterial counts. The average sampling time was 10 minutes. Air samples were transported to the lab just after sampling and incubated for 48 hours at 37 ºC. Then, raised colonies were counted. Bacterial density was expressed as CFU/m3 ± SD.
Result: Mean bacterial concentrations were 10.3 and 23.4 CFU/m3 in Imam and Alavi hospitals, respectively. X-ray room in Imam Khomeini hospital and ICU room in Alavi hospital had the highest bacterial count. But, the least bacterial loads were observed in ICU and Angiography wards of Imam Khomeini and CTSCAN ward in Alavi hospitals. The most prevalent bacteria species isolated from air samples of Imam hospital was Enterococcus spp followed by Pseudomonas spp, coagulase negative Staphylococci spp and Non -Enterococcus group D Streptococci and for Alavi hospital; Coagulase negative Staphylococci spp followed by Psodomonas spp, Klebsilla spp and, Enterococcus spp.
No significant correlations were found between bacterial counts, temperature and humidity of the sampling sites. However, bacteria density significantly were higher in morning shift comparing to evening shift (P <0.05).
Conclusion: High concentration of airborne bacteria bio-aerosols in Ardabil hospitals can be important health risks for health workers and the patients.
Fatemeh Fasih-Ramandi, Asghar Sadigzadeh, Mohammad-Javad Jafari, Soheila Khodakarim,
Volume 11, Issue 1 (3-2021)
Abstract
Introduction: Determining the size distribution of the particles for assessing their effects on human health and their control mechanisms is very effective. One of the most important equipment used in determining particle size distribution is the DMA. In this study, in addition to the design and construction of a DMA, the size distribution measurement of aerosol particles was carried out.
Material and Methods: In this experimental-laboratory study, according to the theoretical principles, the geometric dimensions and operating conditions of the DMA were determined by Fortran programs. The design of the technical drawing of the DMA was done using the Salidworks-2017 software. The DMA designing was performed by studying the size distribution of 12 ranges of DOP particles in 15 voltages.
Results: The results of applying different voltages to the DMA showed that one range of particles size had the highest number of particles in the output of the DMA at each voltage. As the number of particles with the size of 0.26-0.3 µm at 3500 volts and those larger than 2 µm at 9000 volts is the highest at the output of the DMA.
Conclusion: DMA systems are a robust tool in determining the particle size distribution. As by knowing the required voltage to separate a specific size of the particles, the DMA will be able to specify the spectrum of unknown particles.
Saba Kalantary, Mohammad Reza Pourmand, Ensieh Masoorian, Mirghani Seyd Someah, Zahra Barkhordarian, Sara Hajinejad, Farideh Golbabaei,
Volume 14, Issue 2 (6-2024)
Abstract
Introduction: Protection of the respiratory system has been a vital, and for this purpose, various solutions have been proposed, including the use of masks. One of the most important parameters to measure the effectiveness of the mask against the penetration of microbial agents. The present study was conducted with the aim of evaluating the bacterial and particle filtration of medical masks.
Material and Methods: To assess bacterial performance, the national standard 6138, compliant with EN14683, and Type I medical masks were utilized. Staphylococcus aureus bacterial suspension was prepared and passed through the mask using a nebulizer and through an impactor with a flow rate of 28.3 l/min. Plates containing soy agar were placed in the impactor. Subsequently, all plates were incubated, and the bacterial filtration efficiency (BFE) of the masks was determined by counting the bacterial colonies that passed through the mask’s media as a percentage of the total bacteria. It is worth noting that the pressure drop and particle filtration efficiency were also determined for all masks
Results: Based on the results of the particle removal performance for the particle size of 3 µ, the masks were categorized into three groups with efficiency above 99%, above 95% and 90%. According to the standard, all masks had an acceptable pressure drop below 40 Pa. The acceptable bacterial filtration rate for type I masks should be above 95%. The results showed that type A and B masks have an acceptable bacterial filtration rate and there is a significant correlation between the types of masks examined in terms of bacterial and particle efficiency.
Conclusion: The results showed that different types of masks under investigation have significant differences in terms of particle capture efficiency and bacterial filtration performance. In addition, there is a significant correlation between bacterial and particle filtration efficiency.
