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Showing 4 results for Noori
Mechanism and Removal Efficiency of C.I. Acid Blake 1 by Pumice Stone Adsorbent
M.r Samarghandi, M Noori Sepehr, M Zarrabi, M Norouzi, F Amraie,
Volume 3, Issue 4 (8 2011)
Abstract

Backgrounds and Objectives: Treatment of colored wastewater is one of the important challenges of environmental engineers. Adsorption process is a key option for removal of organic matter from wastewater. The aim of present work was to investigate pumice stone as an adsorbent for removal of Acid Black 1 from aqueous solution.
Materials and Methods: Removal of Acid Black 1 by pumice stone was investigated. Acid Hyrdo Chloric(HCL) 1 N was used to increse adsorbent porosity. Various parameters such as pH, initial dye concentration and contact time were studied.
Results: Results showed that removal of Acid Black 1 was increased by increasing of contact time and initial dyeconcentration although it was decreased by increasing of pH. Experimental data was best fitted to Longmuir isotherm model (r2>0.98). Study of diffusion model revealed that intraparticle diffusion is rate-controlling step in removal of Acid Black 1 by pumice stone.
Conclusion : The results indicated that pumice stone was a dominant adsorbent for Acid Black 1 removal.


Offering a Proper Framework to InvestigateWater Quality of the Atrak River
R Noori, F Jafari, D Forman Asgharzadeh, A Akbarzadeh,
Volume 4, Issue 2 (9 2011)
Abstract

Backgrounds and Objectives: The Atrak River is an important water supply resource in the Razavi Khorasan, Northern Khorasan and Golestan provinces. This river is the line border of Iran and Turkistan countries. Unfortunately, lack of water quality and quantity data due to nonexistence of a proper surface water quality monitoring station network is one of the main problems for water quality evaluation in the Atrak River. The main objective of the research is to offer a proper framework for surface water quality evaluation regarding to the mentioned limitations.
Materials and Method: In the first step, proper surface water quality monitoring stations along Atrak River are selected and water quality conditions are indicated using water quality index (WQI) model. The second step is allocated for determining trophic states of the river. Finally, the river water quality modeling is carried out for one of the most important index of water quality in the Atrak River i.e. total dissolved solids (TDS) based on proposed method by Oconnor (1976).
Result: Results of WQI model showed that most of the stations were in the moderate class. The result also showed that most parts of this river had trophic condition. Finally, based on findings of O'Conor model it is demonstrated that the salinity status observed in these four stations originated from the base flow and therefore, salinity is affected by the natural sources.
Conclusion: This methodology in the research can be used in rivers which don't have the proper surface water quality monitoring stations and therefore encountered with lack of water quality data. It can provide the proper strategy and management tasks to reach the good water quality conditions.


Introducing an Appropriate Model using Support Vector Machine for Predicting Carbon Monoxide Daily Concentration in Tehran Atmosphere
Roohollah Noori, Gholamali Hoshyaripour, Khosro Ashrafi, Omran Rasti,
Volume 6, Issue 1 (5-2013)
Abstract
Backgrounds and Objectives: Precise air pollutants prediction, as the first step in facing air pollution problem, could provide helpful information for authorities in order to have appropriate actions toward this challenge. Regarding the importance of carbon monoxide (CO) in Tehran atmosphere, this study aims to introduce a suitable model for predicting this pollutant.
Materials and Method: We used the air pollutants and meteorological data of Gholhak station located in the north of Tehran these data provided 12 variables as inputs for predicting the average CO concentration of the next day. First, support vector machine (SVM) model was used for forecasting CO daily average concentration. Then, we reduced the SVM inputs to seven variables using forward selection (FS) method. Finally, the hybrid model, FS-SVM, was developed for CO daily average concentration forecasting.
Result: In the research, we used correlation coefficient to evaluate the accuracy of both SVM and FS-SVM models. Findings indicated that correlation coefficient for both models in testing step was equal (R~0.88). It means that both models have proper accuracy for predicting CO concentration. However, it is noteworthy that FS-SVM model charged fewer amounts of computational and economical costs due to fewer inputs than SVM model.
Conclusion: Results showed that although both models have relatively equal accuracy in predicting CO concentration, FS-SVM model is the superior model due to its less number of inputs and therefore, less computational burden.
Study of effect of oregano essential oil and ethanolic extract of propolis on antibacterial properties and some physical characteristics of biodegradable poly-lactic acid films
A Misaghi, M Saeedi, N Noori, Mr Rezaeigolestani,
Volume 11, Issue 1 (6-2018)
Abstract
Background and Objective: Natural antimicrobial compounds have a valuable capacity to be used in a variety of foods to inhibit growth of foodborne pathogens and spoilage bacteria. The aims of this study were to produce active biodegradable films by incorporation of different percentage of oregano essential oil (OEO) and ethanolic extract of propolis (EEP) into poly-lactic acid (PLA) films, and to evaluate physical and antimicrobial properties of the resulting films. 
Materials and Methods: The active films were produced by solvent casting method, and their thickness and major color parameters were measured using a digital micrometer and a colorimeter instrument, respectively. Afterwards, antibacterial effects of the films were assessed against four common foodborne pathogens, including Staphylococcus aureus, Escherichia coli, Vibrio parahaemolyticus and Listeria monocytogenes, by means of disk diffusion test.
Results: Physical examinations showed that thickness of resultant films significantly was increased (p<0.05) by addition of different concentrations of active agents. Additionally, the presence of them in the structure of films decreased the lightness and increased the redness and yellowness, simultaneously.  While none of the neat PLA film or films with just EEP had no antibacterial effect, all films containing higher percentages of OEO (5 and 10%) were effective against all four tested bacterial strains, and these effects were more significant in case of the gram-positive bacteria. The maximum inhibition zone was recorded for the film containing 10% of OEO and 2% of EEP, which the relevant values were 56.66, 45.46, 17.91 and 17.65 mm for Staphylococcus aureus, Listeria monocytogenes, Vibrio parahaemolyticus and Escherichia coli, respectively.
Conclusion: Based on the findings of this study, the presence of just EEP in the initial formulation of poly-lactic acid films was not effective against the four tested foodborne pathogens, while the addition of this compound to the films containing OEO increased the effective antibacterial properties of the resulting films. As a result, the simultaneous use of these two compounds in the structure of hydrophobic films, such as poly-lactic acid film, can be used to produce active food packaging films.
 

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