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Sensitivity Comparison of Different 16s rDNA- Specific  Primers for Detection of Legionella Species in Aquatic Samples
Farzaneh Baghal Asghari, Mahnaz Nikaeen,
Volume 5, Issue 3 (21 2012)
Abstract
Background and Objectives: Legionella are gram-negative bacteria widely dispersed in natural and man-made water sources. Some Legionella species are pathogenic and could cause respiratory infections. Cultivation technique is the conventional method for the detection of Legionella spp. in aquatic samples. However, the method has low sensitivity and require prolonged incubation period. Therefore, Polymerase chain reaction (PCR) as a rapid method with extreme sensitivity is used. The present study was designed to evaluate the feasibility and sensitivity of PCR method for detection of Legionellas pp. in aquatic samples using three sets of primers.
Materials and Methods: In this study, 60 water samples were investigated for the presence of Legionella species using Nested- PCR technique. The sensitivity of this technique was evaluated for the detection of Legionella species in aquatic samples using three primer sets, including (LEG225-LEG858), (LEG448-LEG858), and (LEG448-JRP).
Results: The nested PCR assay revealed that detection percentage of Legionella in samples was 70 when LEG448-JRP primers were used, whereas this percentage reduced to 50 and 45 when we applied prime sets of LEG225-LEG858 and LEG448 - LEG858, respectively.
Conclusion: The results of the study showed that contamination of aquatic samples to the Legionella spp. could be easily and rapidly detected by nested PCR. However, selecting appropriate method for DNA extraction and choosing the primers are important factors in efficiency and sensitivity of detection method.


Designing and Development of a Software System for Calculating the Air Quality Health Index (AQHI) and Its Verification Based on Actual Stations Data
M Asghari, R Nabizadeh, H Norzad, H Mortezaee,
Volume 9, Issue 3 (12-2016)
Abstract

Background and Objective: Increasing air pollution and consequently adversely effects on the quality of life for many people has resulted in the use of the air quality indice for determination of the actual amount of pollutants and air quality, as one of the most important and effective measures for air quality control, to be considered further. The air quality health index (AQHI) is a new index related to air pollution developed in collaboration with Environment Canada and Health Canada, in 2001. The purpose of this study was to design and develop a software system for calculating AQHI for the first time in the country that calculates the health effects caused by the presence of several pollutants (NO2, O3,PM10, and PM2.5) at the same time with a new approach.

Materials and Methods: To achieve those aims, the software was designed and coded in Visual Basic. Net. After preparation of the software, it was tested using the real-time database of  six air pollution monitoring stations in Tehran including Aghdasyeh, Setad Bohran, Shahrdari 4, Golbarg, Park-e- Roz, and Shahrdari 11.

Results: This program is a software package installed on the computer with the possibility of exporting Excel file. The performance of software testing was verified using real data.

Conclusion: The results of the verification tests show that the index calculated by the software introduced and presented in this study can be used as a useful tool to assess air quality.


Comparison of Fuzzy and Deterministic Methods in Evaluation of the Quality of Bilverdi Plain Drinking Water
S Shakur, Aa Nadiri, A Asghari Moghaddam, M Vadiati,
Volume 9, Issue 3 (12-2016)
Abstract

Background and Objective: Human health depends on clean and safe drinking water more than anything. In Bilverdi Plain, the main source of drinking water is groundwater that has got a low quality in some places. Therefore, the drinking water of this area needs detailed evaluation of quality. In this research, the drinking water of Bilverdi Plain was evaluated based on fuzzy and deterministic methods.

Materials and Methods: Totally, 15 samples were collected from different places in September 2013. Major water ions including fluoride and nitrate of the samples taken were measured at hydrological lab of University of Tabriz. To check the quality of water, Schoeller diagram in GWW environment and MATLAB software in fuzzy inference system were used and their results were compared with each other.

Results: Based on the results in deterministic method, the quality of drinking water was classified ranging from good to undesirable. However, in fuzzy method in addition to water quality, the potability confidence of samples was offered in which water in six samples with reliability percent from 13.8 to 14.7; in five samples with 50% confidence level and in four samples with confidence percent from 73 to 85 were desirable, acceptable and unacceptable respectively.

Conclusion: The results show the higher accuracy and capability of fuzzy method rather than deterministic method. Because it is proper to deal with uncertainty in the different parameters and all effective parameters on water quality could be considered together in the evaluation and it offers confidence level for potability of water.


Evaluation of the implementation of the nosocomial infection control program in the emergency department of teaching hospitals of Gorgan, Iran
Mehrnaz Asghari Mahforujaki, Ailar Jamalli, Saeed Golfiroozi, Ali Shahryari,
Volume 16, Issue 1 (6-2023)
Abstract
Background and Objective: In hospitals, the emergency department is a complex healthcare environment, and it is necessary to attention to nosocomial infections. This study aimed to evaluate the implementation of nosocomial infection program in the emergency department.
Materials and Methods: This descriptive study was conducted in hospitals of Gorgan, Iran, in 2022, using the WHO checklist with 96 questions in 9 section staff; patients, environment, equipment, drug, prevention of infections wound, urinary, respiratory, and blood. Data were collected via observation and interviews. A checklist containing 45 questions was used to determine the impact of staff awareness on the infection control program, in 4 sections oftheoretical knowledge, performing procedures, immunization, and environmental hygiene.
Results: The results show that 82.46% of the infection control program was satisfactory. The percentage of scores for different sections of nosocomial infection program including staff, patients, environment, equipment, drug, infection prevention of wound, urinary, respiratory and blood  was 79.31, 77.78,  81.25,  83.34, 100, 44.34, 75.00, 87.88 and 100, respectively. Moreover, the percentage awareness score for emergency medicine specialists, general practitioners, medical interns, and nurses was 100, 95.83, 87.5, and 79.92, respectively.
Conclusion: The implementation quality of the infection control program was acceptable and satisfactory. However, some factors were lower than the desired level, which could be dangerous for medical staff, patients, and visitors. The medical staff believed that the support of the senior managers of the University was essential for the implementation of an infection control program, and also holding training courses, and accelerating data sharing.
 

Modification of anaerobic composting process using natural clinoptilolite zeolite on the quality of physical and chemical properties
Fariba Asghari, Ayoob Rastegar, Mohammad Hossien Saghi,
Volume 17, Issue 4 (3-2025)
Abstract
Background and Objective: Composting is a sustainable solution for recycling organic solid waste (OSW). Various compounds can be used to enhance the quality of compost. This study aimed to investigate the effects of zeolite on the physical and chemical characteristics of compost produced through the anaerobic process.
Materials and Methods: This analytical study was conducted in 1402 at Kimia Sabzevar Company, located 5 km from Rudab Road. Cow manure and natural clinoptilolite zeolite were used in varying proportions (0%, 5%, 10%, 15%, and 20% of the total reactor volume) to prepare fertilizer via the anaerobic method. After 30, 45, and 60 days, a total of 90 samples were collected and sent to the laboratory for analysis. Parameters such as pH, electrical conductivity, temperature, carbon-to-nitrogen ratio, and nitrate content were measured to evaluate the quality of the fertilizer product.
Results: The results showed that in the early stages, pH changes were less pronounced in treatments with varying zeolite percentages, ranging from 7.9 to 8.57. The addition of zeolite in the composting process influenced temperature dynamics, with higher zeolite percentages maintaining elevated temperatures. Moreover, the nitrate content increased by 15% during the process.
Conclusion: The findings indicate that adding zeolite to fertilizer enhances temperature stability, accelerates the composting process, and reduces the time required for fertilization. Additionally, zeolite improved the physicochemical properties of the fertilizer produced through the anaerobic process.
 

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