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Kinetic of CO2 absorption and carbamate formation in aqueous solutions of diethanolamine
Mohamed Kheireddine Aroua,Abdelbaki Benamor,Brahim Si Ali 한국화학공학회 2008 Korean Journal of Chemical Engineering Vol.25 No.3
The absorption rates of CO2 into aqueous solutions of Diethanolamine (DEA) with varying concentrations from 0.2 to 4M and temperature range from 293 to 323 K were measured by using a laboratory stirred reactor. The CO2 partial pressure was varied in a range that the reaction would occur in pseudo first order regime. Experimental data were analyzed and the kinetic parameters associated with the reaction were determined. The activation energy for the deprotonation of the intermediate zwitterion was estimated at about 11.4 kcal/mol. The contribution of carbamate formation to the overall absorbed CO2 was experimentally evaluated and found to be of the order of 100%.
Mohamed Kheireddine Aroua,Mohd Azlan Hussain,Chun-Yang Yin,Ramzalina Abd Rahman,Noor Asriah Ramli 한국화학공학회 2010 Korean Journal of Chemical Engineering Vol.27 No.6
The solubility of CO2 in single monoethanolamine (MEA) and diethanolamine (DEA) solutions was predicted by a model developed based on the Kent-Eisenberg model in combination with a neural network. The combination forms a hybrid neural network (HNN) model. Activation functions used in this work were purelin, logsig and tansig. After training, testing and validation utilizing different numbers of hidden nodes, it was found that a neural network with a 3-15-1 configuration provided the best model to predict the deviation value of the loading input. The accuracy of data predicted by the HNN model was determined over a wide range of temperatures (0 to 120 oC), equilibrium CO2 partial pressures (0.01 to 6,895 kPa) and solution concentrations (0.5 to 5.0M). The HNN model could be used to accurately predict CO2 solubility in alkanolamine solutions since the predicted CO2 loading values from the model were in good agreement with experimental data.
Fabrication modeling of industrial CO2 ionic liquids absorber by artificial neural networks
Yadollah Abdollahi,Nor Asrina Sairi,Mohamed Khereddine Aroua,Hamid Reza Fard Masoumi,Hossein Jahangirian,Yatimah Alias 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.25 No.-
The fabrication of industrial CO2 blended solution absorber was modeled by artificial neutral network. First the generated model had been statistically evaluated and then its ability of prediction was confirmed by validation test. The validated model was used to predict the desirable density and relative importance of the fabrication’s effective variables. In conclusion, the importance included x[H2O], 36.18%, x[gua], 25.37%, x[MDEA], 25.34% and temperature, 13.11% which showed none of them is negligible as well as the density (g cm3) was validated by further experiment that showed the actual density, 1.101, was quite close to the predicted value, 1.017.
Physical properties of aqueous mixtures of N-methyldiethanolamine (MDEA) and ionic liquids
R. Yusoff,A. Shamiri,M.K. Aroua,A. Ahmady,M.S. Shafeeyan,W.S. Lee,S.L. Lim,S.N.M. Burhanuddin 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.5
In the present study, experiments have been conducted to measure the surface tension and heat capacity of aqueous mixtures of N-methyldiethanolamine (MDEA) and ionic liquids (ILs) at atmospheric pressure. Two types of ILs, 1-butyl-3-methylimidazolium tetrafluoroborate ([bmim][BF4] and 1-butyl-3-methyl-imidazolium dicyanamide [bmim][DCA]) were used in these experiments. The surface tension was found to decrease with increasing temperature and ionic liquid concentration. Furthermore, the heat capacity of the mixtures increases with decreasing ionic-liquid concentration and increasing temperature. Linear equations were used to correlate the measured surface tension values, quadratic equations were applied to correlate the heat capacity at different compositions and temperatures.
Chun Ming Chew,M.K. Aroua,M.A. Hussain 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.45 No.-
In this work, a novel approach combining first principle equation of Darcy’s law on cake filtration andartificial neural network (ANN) predictivemodels were utilized to represent the dead-end ultrafiltration(UF) process. Common on-line data available in most industrial-scale UF membrane water treatmentplant such as feed water turbidity, filtration time and transmembrane pressure were used as inputsparameters. An UF pilot plant was set up to carry out these experiments. This hybridmodelling approachconsisting of cake filtration and ANN models have shown promising results to predict the specific cakeresistance and total suspended solids of the feed water with good accuracy. These two filtrationparameters are often considered as indicators for membrane fouling propensity. Sensitivity analysis hasindicated strong linear correlation between feed water turbidity and specific cake resistance in the UFprocess. The hybrid model provides an alternative method to estimate these parameters besides theconventional laboratory analysis. This practical modelling approach will be beneficial to industrial-scaleUF membrane water treatment plant operations to predict the fouling propensity of the UF process basedon commonly available on-line data and simple laboratory analysis.
The effects of catalysts in biodiesel production: A review
I.M. Atadashi,M.K. Aroua,A.R. Abdul Aziz,N.M.N. Sulaiman 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.1
Biodiesel fuel has shown great promise as an alternative to petro-diesel fuel. Biodiesel production is widely conducted through transesterification reaction, catalyzed by homogeneous catalysts or heterogeneous catalysts. The most notable catalyst used in producing biodiesel is the homogeneous alkaline catalyst such as NaOH, KOH, CH3ONa and CH3OK. The choice of these catalysts is due to their higher kinetic reaction rates. However because of high cost of refined feedstocks and difficulties associated with use of homogeneous alkaline catalysts to transesterify low quality feedstocks for biodiesel production, development of various heterogeneous catalysts are now on the increase. Development of heterogeneous catalyst such as solid and enzymes catalysts could overcome most of the problems associated with homogeneous catalysts. Therefore this study critically analyzes the effects of different catalysts used for producing biodiesel using findings available in the open literature. Also, this critical review could allow identification of research areas to explore and improve the catalysts performance commonly employed in producing biodiesel fuel.
Advancement in recycling waste tire activated carbon to potential adsorbents
Umi Fazara Md Ali,Farihahusnah Hussin,Subash C.B. Gopinath,Mohamed Kheireddine Aroua,Mohd Hairul Khamidun,Norwahyu Jusoh,Naimah Ibrahim,Syahirah Faraheen Kabir Ahmad 대한환경공학회 2022 Environmental Engineering Research Vol.27 No.6
Waste tires have been identified as one of the contributors to environmental problems and the issue of inadequate landfill spaces. The lack of consistent and systematic approaches such as specific regulations/laws or mechanisms of waste management to waste tires, limited application of technology for recycling waste tires and lack of awareness on the impacts of waste tires problem, make waste tires a source of environmental pollution. Various researches have been conducted on recycling waste tires into polymer bends, and materials to harden concretes, fuels and adsorbent. Researchers suggested that pyrolysis is the current trend of recycling waste tire to harvest the saleable pyrolysis oil and the recycled carbon black. Therefore, this review attempts to compile relevant knowledge about the potential of adsorbent derived from waste tires to be applied in the removal of various types of pollutants like heavy metals, organic pollutants, dye and air/gaseous pollutant. Studies were carried out on revealing the properties and the characteristics of activated carbon derived from waste tire as effective adsorbent which influence the application performance at liquid or gas phase. In addition, the challenges in the production of activated carbon derived from waste tire were discussed.
Al‐Hakimi Ahmed N.,Abdulghani Mahfoudh A.M.,Alhag Sadeq K.,Aroua Lotfi M.,Mahyoub Jazem A. 한국곤충학회 2022 Entomological Research Vol.52 No.3
The development of natural insecticide from plant products may have a beneficial effect as a promising candidate for practical strategies for controlling vector-borne diseases without current treatment. The present study was carried out to characterize green synthesized metallic nanomaterials for silver (Ag-NPs) and gold (Au-NPs) from extract leaf of Nerium oleander L., assess in vivo toxicity, and evaluate the larvicidal activity against Aedes aegypti. The prepared nanomaterials (Ag-NPs and Au-NPs) were characterized by Ultraviolet–Visible Spectroscopy (UV–Vi s ) , F o u r i e r transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and transmission electron microscopy (TEM). In addition, the subacute in vivo toxicity method was used to assess the extract and the nanomaterials (Ag-NPs and Au-NPs); in evaluating larvicidal activities using the World Health Organization (WHO) method. The Ag-NPs and Au-NPs were confirmed by shifting the absorption band in UV–Vi s , FTIR spectrums toward higher wavelengths. TEM and XRD analysis were revealed that the average particle size of Au-NPs and Ag-NPs showed 15.30 and 11.48 nm, respectively. In the toxicity experiment, no mortality or signs of toxicity were reported in all groups of treated animals; in larvicidal activity, the Au-NPs and Ag-NPs with LC50 36.0716 and 46.645 ppm respectively showed more effectiveness than leaf extract alone 108.1665 ppm. Collectively, extract leaf of N. oleander L. can be efficiently used to synthesize metallic nanomaterials with silver and gold, which can be adopted as a natural source of insecticide against Ae. aegypti.
Mohammed Harun Chakrabarti,Wei Tze Mook,Mohamed Kheireddine Taeib Aroua,Ishenny Muhammad Noor,Muhammad Faisal Irfan,Chee Tong John Low 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.1
The main factor that determines the success of a bio-electrochemical system (BES) is the bio-electrode. This paper reviews the direct as well as mediated electron transfer mechanisms in bio-electrodes. Some discussions on their influence upon the performance of microbial fuel and electrolysis cells are considered. Factors affecting organic matter removal at bioanodes and denitrification at biocathodes are elaborated upon. Important parameters for the successful simultaneous removal of contaminants are reported. The major conclusion from this work is that BES is able to remove organic matter and nitrates simultaneously from different wastewater samples at efficiencies greater than 90%.