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Articles by Z. Zamani
Total Records ( 4 ) for Z. Zamani
  B. Zahedi , A.K. Kashi , Z. Zamani , G.H. Mosahebi and M. Hassani
  In this study genetic diversity of 39 Allium sativum L. genotypes collected from different parts of Iran was investigated by using morphological characteristics. Measuring of characteristics of garlic genotypes were performed based on IPGRI descriptor. Analysis of variance showed that all of the characters in examined genotypes were significant, showing high variability in characters. Also factor analysis was used for determining the number of main factors. Factor analysis showed that most bulb characters were composing the main factors. Effective characters categorized in seven factors that contributed 81.84% of total variance. For each factor eigen value more than 0.6 was used as significant eigen value. Cluster analysis was performed using these seven factors and genotypes in distance of 10 (similarity coefficient) were divided four main clusters. This study showed that multivariate analysis methods could be a useful method for discrimination of garlic genotypes.
  Z. Zamani , M. Arjmand , M. Tafazzoli , A. Gholizadeh , F. Pourfallah , S. Sadeghi , R. Mirzazadeh , F. Mirkhani , S. Taheri , A. Iravani , P. Bayat and F. Vahabi
  Vaccines require a period of at least three months for clinical trials, hence a method that can identify elicitation of immune response a few days after the first dose is a necessity. Evolutionary variable selections are modeling approaches for proper manipulation of available data which were used to set up an animal model for classification of time dependent 1HNMR metabolomic profiles and pattern recognition of fluctuations of metabolites in two groups of male rabbits. One group of rabbits was immunized with human red blood cells and the other used as control. Blood was obtained every 48 h from each rabbit for a period of six weeks and the serum monitored for antibodies and metabolites by 1HNMR spectra. Evaluation of data was carried out using orthogonal signal correction followed by principal component analysis and partial least square. A neural network was also set up to predict immunization profiles. A distinct separation in patterns of significant metabolites was obtained between the two groups, just a few days after the first and the second dose. These metabolites were used as targets of neural networks where each sample was used as test, validation and training and their quantitative influence predicted by regression. This model could be used for prediction of immunization in rabbits a few days after the first dose with 96% accuracy. Similar animals and human vaccine trials would assist greatly in reaching early conclusions in advance of the usual two month immunization schedule; resulting in an appreciable saving of cost and time.
  F. Pourfallah , S. Javadian , Z. Zamani , R. Saghiri , S. Sadeghi , B. Zarea , F. Mirkhani , N. Fatemi and T. Kordi
  The purpose of this study was to evaluate the levels of Zinc, Copper, Iron and Copper/Zinc ratio in the serum of adult patients with pulmonary tuberculosis in Iran. Serum levels of Zinc and Copper were determined by flame atomic absorption spectrophotometer and serum iron concentration was measured by using an Auto Analyzer. The study group consisted of 50 pulmonary tuberculosis patients before treatment and after 6 months of anti-tubercular therapy. Levels of serum Zn (p<0.001) and Fe (p<0.001) in TB patients were significantly increased after 6 months of anti-tubercular therapy. However, serum Cu concentration (p<0.01) and Cu/Zn ratio (p<0.05) were decreased after 6 months of anti-tubercular therapy. Some studies indicated a strong association of Zn, Cu, Fe and the Cu/Zn ratio with TB. In this study, we found remarkable change in Cu/Zn ratio. Some researchers mentioned that serum Cu/Zn ratio could be used as an important laboratory marker for diagnosis and treatment of tuberculosis. They also mentioned that trace element levels must be closely monitored during the process of disease.
  F. Pourfallah , S. Javadian , Z. Zamani , S.D. Siadat , Sh- Khatami , R. Saghiri and T. Kordi
  This study was a cross-sectional descriptive study and done in four seasons during April 2011 to March 2012.The objective of the present study was to examine Physico-chemical properties of groundwater around Tehran. The results are also compared with the guideline values of Iranian legislation. A total of 160 drinking water samples were collected from different drinking groundwater around the Tehran. Total Dissolved Solids (TDS), conductivity and pH, were measured by using standard methods and the concentration of ions Cl¯, F¯, NO3¯, NO2¯, Br¯, SO42¯, PO43¯, Ca2+, K+, Na+ and NH4+ in groundwater was performed using Ion chromatography (Metrohm Company, USA) with standard method. This study showed that most of the parameters in groundwater were below the Iranian permissible limit except total dissolved solids (N = 2), conductivity (N = 2), nitrate as NO3¯ (N = 22), chloride (N = 3), sulphate (N = 2), fluoride (N = 3) and ammonia (N = 8). There were significant differences (p<0.05) between physico-chemical parameters such as pH, nitrite (NO2¯), sodium, potassium, sulphate, ammonia, bromide and phosphate in different seasons. These results are important, not only for the many people who drink groundwater but also for the health supervisory agencies such as Ministry of Health and Institute of Standards and Industrial of Iran (ISIRI) to have more effective control on groundwater.
 
 
 
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