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Search Results: 1 - 10 of 2708 matches for " Norli Ismail "
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Investigation on the Catalytic Behavior of Fe Loaded on Encapsulated Titanium for Sonocatalytic Degradation of Amaranth: Characterization and Reusability Study  [PDF]
Atheel Hassan Alwash, Ahmed Zuhairi Abdullah, Norli Ismail
Modern Research in Catalysis (MRC) , 2013, DOI: 10.4236/mrc.2013.23015

The present study addressed the properties affecting the activity of a new heterogeneous catalyst Fe/Ti-NaY in the ultrasonic irradiated for decolorization of amaranth dye in aqueous solution. The catalyst was prepared by the ion exchange and impregnation method. Different characterization techniques, i.e. XRD, AFM, TEM and SEM/EDAX were done to characterize the properties of the fresh and used catalyst. This catalyst was able to keep its stability and high activity without any noticeable reduction in the decolorization efficiency of amaranth after three cycles of reaction. The X-ray diffraction proved the high stability and the crystallinity for the reuse catalyst. The COD removal for the fresh and used catalyst with and without calcination was 57%, 36% and 20% respectively. The hydrophilic properties of the heterogeneous catalyst increased slightly due to the loading of Ti and Fe ions.

Elucidation of Reaction Behaviors in Sonocatalytic Decolorization of Amaranth Dye in Water Using Zeolite Y Co-Incorporated with Fe and TiO2  [PDF]
Atheel Hassan Alwash, Ahmad Zuhairi Abdullah, Norli Ismail
Advances in Chemical Engineering and Science (ACES) , 2013, DOI: 10.4236/aces.2013.32014

The Zeolite Y as a support was modified by the incorporating of Fe and TiO2 in one single step using impregnation method. The synergistic effects between those components enhance the catalytic activity for the degradation of amaranth dye under ultrasonic irradiation with output power of 50 W and 40 kHz frequency. Different characterization techniques were used to elucidate the physical and chemical properties of the produced catalysts. The XRD results indicated that the type of titanium precursor significantly effects on the crystallinity of 0.4% Fe/15%TiO2-NaY catalyst. The AFM results detected that the TiO2 formed a layer covered the surface of zeolite while Fe clusters were located close to TiO2. The influence of reaction parameters such as TiO2 and Fe content, pH values, amount of hydrogen peroxide used, catalyst loading and the initial dye concentration were investigated for the decolorization efficiency of amaranth. The maximum decolorization efficiency for 0.4%Fe/15%TiO2-NaY was 100% after 120 min of reaction time with an initial dye concentration of 30 mg/L, 2 g/L of catalyst loading, natural pH about 5.5 and 0.65 mM H2O2.

Production of Bioflocculant by Chryseomonas Luteola and Its Application in Dye Wastewater Treatment
Syafalni S.,Ismail Abustan,Norli Ismail,Tan Soke Kwan
Modern Applied Science , 2012, DOI: 10.5539/mas.v6n5p13
Abstract: Inorganic aluminum salts as one of coagulation and flocculation reagent have been generally used for removing the impurities in water and waste water technology. In last a few years, was found that aluminium compounds have been reported as disease carrier for human being. In general, dyes wastewaters with concentrations in the range of 10 - 200 mg/L will be appearing at highly coloured. There are many reports which are mention about the toxic effects of dyes and metals in the form of carcinogenic, genetic effects. Furthermore, direct release of dyes wastewater into the environment is not encouraged due to the high values of un-degradable and degradable organics substances. In this study a bioflocculant was produced from palm oil mill effluent (POME) isolated and found as Chryseomonas luteola. The experiments conduct at optimized culture conditions (at temperature 50oC, duration 1 day), a flocculating activity of 96.15% was demonstrated using kaolin suspension. The result was also showed to be better for flocculation of a kaolin suspension over pH (5-7) and cations (Ca2+) will enhance the flocculating activity. The bioflocculant can be used for treating dye wastewater, and the maximal removal efficiency of turbidity and chemical oxygen demand (COD) were 38.22% and 33.25%, respectively at pH 7.0 with dosage of culture broth bacteria about 0.2 mL. Besides that, the reduction of turbidity and removal of COD of dye wastewater were conducted using aluminium sulphate (alum). A maximum reduction of turbidity was 97.51% while the removal of COD was 99.64%, were observed with a concentration of 600 mg/L at pH 4.0.
Studies on Flocculating Activity of Bioflocculant from Closed Drainage System (CDS) and Its Application in Reactive Dye Removal
Yasaman Sanayei,Norli Ismail,Tjoon Tow Teng,Norhashimah Morad
International Journal of Chemistry , 2010, DOI: 10.5539/ijc.v2n1p168
Abstract: Technological production processes of organic dyes soluble in water, as well as the processes for their application in textile industries, may heavily pollute natural waters, particularly from the point of view of their pronounced colored wastewaters. Reactive dyes are prominent among numerous groups of water-soluble dyes. The bioflocculant was effective in flocculating a kind of reactive soluble dyes (Cibacron yellow FN_2R) in aqueous solution. A bioflocculant– producing bacterium were isolated from wastewater and sediments of Close Drainage Systems (CDS) located at the Prai industrial area.. Compared with conventional chemical flocculants, bioflocculants are biodegradable and nontoxic, and produce no secondary pollution. Sphingomonas paucimobilis was found to produce a bioflocculant with high flocculating activity for Kaolin suspension and water-soluble dyes. The best temperature flocculation performance was 35°C and shaking speed of 160 rpm. The highest flocculating efficiency achieved for Kaolin suspension was 98.4% at 35°C after 48 hours cultivation. Various culture temperatures were tested between 2 hours in order to investigate their effect on the bioflocculant production when the culture temperature was 35°C which the flocculating activity of Sphingomonas paucimobilis was up to 98.4%. It was found that, flocculating rate depends on time and temperatures. Determination flocculating activity was shown Sphingomonas paucimobilis is biodegradable and increase in number of bacteria during the time will confirm that. This study was conducted to biologically treat wastewater discharged from the textile industry using sequencing batch reactor (SBR) technology biological flocculation on COD removal and effects of solids detention times and MLVSS on EPS production.
La Loaded TiO2 Encapsulated Zeolite Y Catalysts: Investigating the Characterization and Decolorization Process of Amaranth Dye
Atheel Hassan Alwash,Ahmad Zuhairi Abdullah,Norli Ismail
Journal of Engineering , 2013, DOI: 10.1155/2013/407167
Abstract: Lanthanide ions loaded TiO2 encapsulated into Y zeolite catalysts were synthesized and used in sonocatalytic degradation of Amaranth dye in aqueous solution. The support zeolite Y was modified by different loading of Ti and La species using ion exchange method. The sonocatalytic reaction condition was carried out at 10?mg/L initial dye concentration, original pH, 1.5?g/L of catalyst loading with low ultrasonic frequency of 40?KHz. Different characterization techniques were used to reveal the physicochemical characteristics of the catalysts. Successful loading of TiO2 and La/TiO2 into zeolite Y was achieved. The framework of zeolite Y remained unchanged after the loading of TiO2. Titanium species was bound to the framework of zeolite through Ti–O–Si bonds through isomorphous substitution of Si in the zeolite. The ultrasonic degradation of Amaranth dye was enhanced by the TiO2 encapsulation with a maximum degradation efficiency of 50% after 120?min of reaction. However, the activity of the catalyst decreased after the loading of lanthanum. This decrease was attributed to the poor contact between the metal crystallites located on the external surface and the titanium encapsulated into cages of zeolite Y. 1. Introduction Titanium dioxide is generally considered to be a very efficient photo- or sonocatalyst that is nontoxic, stable, and cheap [1]. It exhibits high durability, corrosion resistance, and high oxidation potential of the valence band that ensures its general applicability to a wide range of substrates [2]. On the other hand, fast charge carrier recombination, low interfacial charge-transfer rates, and recycling difficulties were the main drawbacks of using bare TiO2 [3]. In order to overcome these problems, two methods have been suggested to increase its activity. The first one is through doping of the transition metal ions into titanium dioxide to suppress the recombination of electrons holes. Song et al. [4], Jamalluddin and Abdullah [5], Wang et al. [6], and many other researches have reported the differences in the catalytic activity of titanium oxide with different types of doping metals. Secondly, loading of titanium dioxide onto suitable supports could reduce the problem of catalyst separation after the reaction. Loading of TiO2 nanoparticles on porous supports has been attempted using activated carbon [7, 8], fiber glass [9], clay [10], and zeolites [11] as the support materials. Zeolites are good adsorbents and eco-friendly materials possessing high surface area and high thermal stability. Additionally, these materials possess amphoteric
Isolation, Identification, and Characterization of Cadmium Resistant Pseudomonas sp. M3 from Industrial Wastewater
Syed Zaghum Abbas,Mohd Rafatullah,Norli Ismail,Japareng Lalung
Journal of Waste Management , 2014, DOI: 10.1155/2014/160398
Abstract: The present study deals with the isolation, identification, and characterization of the cadmium resistant bacteria from wastewater collected from industrial area of Penang, Malaysia. The isolate was selected based on high level of the cadmium and antibiotic resistances. On the basis of morphological, biochemical characteristics, 16S rDNA gene sequencing and phylogeny analysis revealed that the strain RZCd1 was authentically identified as Pseudomonas sp. M3. The industrial isolate showed more than 70% of the cadmium removal in log phase. The cadmium removal capacity of strain RZCd1 was affected by temperature and pH. At pH 7.0 and 35°C, strain RZCd1 showed maximum cadmium removal capacity. The minimal inhibitory concentration of strain RZCd1 against the cadmium was 550?μg/mL. The resistance against the cadmium was associated with resistance to multiple antibiotics: amoxicillin, penicillin, cephalexin, erythromycin, and streptomycin. The strain RZCd1 also gave thick bands of proteins in front of 25?kDa in cadmium stress condition after 3 h of incubation. So the identified cadmium resistant bacteria may be useful for the bioremediation of cadmium contaminated industrial wastewater. 1. Introduction Among the list of heavy metals, the cadmium needs special attention because it is identified as significant pollutant due to its high solubility and toxicity in the water [1, 2]. It is one of the most toxic pollutants of the surface soil layer, released into the environment by mining and smelting activities, atmospheric deposition from metallurgical industries, incineration of plastics and batteries, land application of sewage sludge, and burning of fossil fuels [3]. The wastewaters from the industries and sewage sludge applications have permanent toxic effects to human and the environment. Both terrestrial and aquatic environments have been greatly affected by the cadmium pollution [4]. In human, it affects cell proliferation, differentiation, apoptosis and increases oncogene activation to carcinogenesis. It also causes vertebral osteoporosis and fractures, toxicity to neuron, aging, and peripheral arterial disease. It selectively accumulates in pancreas, bones, renal liver, lungs, and kidneys [5, 6]. The water pollution caused by the cadmium has received increasing attention worldwide. Many conventional approaches have been considered for the removal of cadmium from industrial wastewater, mainly including chemical precipitation, ion exchange, membrane technology, and adsorption [7, 8]. In the field of bioremediation, simpler and relatively inexpensive ways are
Characterization of Oily and Non-Oily Natural Sediments in Palm Oil Mill Effluent
Reem A. Alrawi,Nik Norulaini Nik Ab Rahman,Anees Ahmad,Norli Ismail
Journal of Chemistry , 2013, DOI: 10.1155/2013/298958
Optimization of Coagulation Process for Landfill Leachate Pre-Treatment Using Response Surface Methodology (RSM)
Talebi Amir,Norli Ismail,Abbas F. M. Alkarkhi,Teng, T.T
Journal of Sustainable Development , 2009, DOI: 10.5539/jsd.v2n2p159
Abstract: The effect of a coagulation process with ferrous sulfate as a coagulant on COD, apparent color and turbidity was evaluated using response surface methodology (RSM). A jar test method was used for the pre-treatment of mature landfill leachate of the Pulau Burung Sanitary Landfill, Malaysia. The results of response surface methodology (RSM) showed that ferrous sulfate was most efficient under alkaline conditions and with a coagulant dosage 10 g/l. At the optimum setting for coagulant dosage was 10 g/l and pH 11.7, resulted in maximum of (22%) in COD, (42%) in apparent color, and (31%) in turbidity. It was observed that the COD, apparent color and turbidity reductions decreased with pH and FeSO4 levels beyond the optimum conditions. This paper illustrates the usefulness of experimental design in running experiments and optimization.
Assessment of Surface Water through Multivariate Analysis
Abbas F.M. Alkarkhi,Anees Ahmad,Norli Ismail,Azhar mat Easa
Journal of Sustainable Development , 2009, DOI: 10.5539/jsd.v1n3p27
Abstract: Multivariate statistical techniques such as factor analysis (FA) and Discriminant analysis (DA), were applied for the evaluation of spatial variations and the interpretation of a large complex water quality data set of two rivers (Juru and Jejawi) in Malaysia, monitoring 10 parameters at 10 different sites each. Factor analysis resulted in two factors explaining more than 82% of the total variance in water quality data set. The factors indicate that the possible variances in water quality may be due to either sources of anthropogenic origin or due to different biochemical processes that are taking place in the system. The first factor called pseudo anthropogenic factor explained 59.29% of the total variance. The second factor called anthropogenic explained 23.03%. DA gave the best result to identify the relative contribution for all parameters in discriminating (distinguishing) the two rivers affording 100 % correct assignations. This study illustrates the benefit of multivariate statistical techniques for analyzing and interpretation of complex data sets, and to plan for future studies.
Long-Term Prediction of Biological Wastewater Treatment Process Behavior via Wiener-Laguerre Network Model
Yasaman Sanayei,Naz Chaibakhsh,Ali Chaibakhsh,Ali Reza Pendashteh,Norli Ismail,Tjoon Tow Teng
International Journal of Chemical Engineering , 2014, DOI: 10.1155/2014/248450
Abstract: A Wiener-Laguerre model with artificial neural network (ANN) as its nonlinear static part was employed to describe the dynamic behavior of a sequencing batch reactor (SBR) used for the treatment of dye-containing wastewater. The model was developed based on the experimental data obtained from the treatment of an effluent containing a reactive textile azo dye, Cibacron yellow FN-2R, by Sphingomonas paucimobilis bacterium. The influent COD, MLVSS, and reaction time were selected as the process inputs and the effluent COD and BOD as the process outputs. The best possible result for the discrete pole parameter was . In order to adjust the parameters of ANN, the Levenberg-Marquardt (LM) algorithm was employed. The results predicted by the model were compared to the experimental data and showed a high correlation with and a low mean absolute error (MAE). The results from this study reveal that the developed model is accurate and efficacious in predicting COD and BOD parameters of the dye-containing wastewater treated by SBR. The proposed modeling approach can be applied to other industrial wastewater treatment systems to predict effluent characteristics. 1. Introduction The reactive dye-containing effluents from dye manufacturing and application industries can cause serious environment pollution due to the toxicity and slow degradation of dyes [1]. In addition, the presence of dyes in water is highly visible and affects water transparency and aesthetics even in low concentrations. Therefore, the effluents must be treated before being released into the environment. In recent years, researchers have shown interests in biological treatment of wastewaters with high concentrations of dyes [2, 3]. Treatment of these polluted wastewaters requires high effectiveness and low cost dye removal processes [4]. Sequencing batch reactor (SBR) is a promising biological system for treating dye-containing wastewaters [5, 6]. This system is cost efficient and flexible to handle different feed characteristics. Furthermore, its operation is easier than other biological methods [1]. However, the SBR process, like other biological processes, is highly nonlinear, time varying, and subject to significant disturbances [7]. Modeling the treatment process can provide better understanding, design, operation, and control of the process [8]. The ability of artificial neural networks (ANNs) in black-box modeling of nonlinear systems with complicated structure has made them the most popular tool for modeling of biological processes [9]. In recent years, recurrent neural networks are
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