AJCE_Vol 02 N 02

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    Textile dyes removal from wastewater using recent promising composites: A review
    (University of Eloued جامعة الوادي, 2021-08-18) Aichour Amina-Djafer Khodja Hakim -ZaghouaneBoudiaf Hassinab
    Dyes are widely used in many fields such as textiles, leather, paper, and plastics. The industries which used dyes consume a large amount of water, and in some textile dyeing operations, as much as 15-20% of dyes used do not attach to the fibers, so they are lost to wastewater, and the resulting colored effluents can represent a serious water pollution problem due to their color content and toxic components which, over time, are directly involved in the degradation of our ecosystem. The usual effluent treatment involves biological systems like activated sludge; however, conventional treatment has not efficiently removed the effluent dye due to the recalcitrant nature of the dyes and the diverse composition of the effluent. Some conventional methods which have been largely used to eliminate dyes ions from various industrial effluents are often costly, especially in removing dye ions from dilute solutions. Adsorption is considered quite attractive in terms of its efficiency of removal from dilute solutions. Recently, various composites have received wide attention due to their outstanding properties in wastewater treatment. However, non-biodegradable synthetic polymers are largely applied as the organic components of these composites, leading to negative environmental impacts. In this paper, after a brief description of textile dyes, their toxicity and the conventional physic-chemical processes used in the degradation of dyes, we have focused on some of the work published over the past 5 years using the most promising composites for environmental purposes. Overall, the biopolymers and magnetic-based composites have demonstrated outstanding removal capabilities for a large range of dyes.
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    Platform for studying properties of blend systems
    (University of Eloued جامعة الوادي, 2021-05-20) BouzidaLatifa- FouddadaFatma Zohra - Hiadsia Said
    In this work, JAVA and MATLAB languages were used to coding a platform that is capable to study different physical properties of polymer blends such as thermal properties (glass transition temperature Tg and simulation for pyrolysis process...), miscibility (by using interaction parameter) …etc. The Flory-Huggins interaction parameter χ is an important value to reflect the miscibility of polymer. If it is negative or very small, the two compounds prefer to mix. Else, the constituents prefer to phase separate (immiscibility). In this paper, the interaction parameter was calculated by using the solubility parameter. Furthermore, the glass transition temperature Tg can be also an important element to predict miscibility of polymer blends, whereas for a miscible system one single Tg take place. Our software permits also to pick up glass transition temperature Tg from the curve of specific volume versus temperature. In addition, our software is capable to study the pyrolysis process after the experimental work by using the distributed activation energy Model (DAEM) with just three heating rates. The software contained a help and special puzzle and other elements
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    equilibrium and thermodynamics studies of congo red dye adsorption from aqueous solution onto activated cowpea (Vigna unguiculata) husk
    (University of Eloued جامعة الوادي, 2021-10-10) Abdullahi Muhammad Ayuba . Bridge,t Idoko . Kinetics,
    Adsorption of Congo red (CR) dye from aqueous solution onto activated cowpea husk (ACPH), a low-cost agricultural waste material in a batch process was investigated. Adsorption was studied as a function of amount of adsorbent, pH, initial dye concentration and time. It was found that adsorption capacity varied linearly with the amount of adsorbent, initial CR concentration with time. The results show that maximum adsorption capacity was obtained at the optimum levels of contact time (24.3157mg/g at 60 minutes), adsorbent dose (24.532mg/g at 0.1g), initial dye concentration (407.2787mg/g at 500mg/L) and pH (24.26mg/g at 1.5). Adsorption equilibrium data were represented by isotherm, kinetics and thermodynamics models. Three isotherm models namely Langmuir, Freundlich and Temkin were tested and adsorption was found to fit well into Langmuir model relatively better than others. The maximum loading capacity (qm) of the adsorbent for Congo red obtained from the Langmuir isotherm model is 263.16 mg/g. The kinetic data was well described by the pseudo-second order kinetic model with the correlation coefficients (R2) value of 0.994. The adsorption process was found to be thermodynamically endothermic and spontaneous. The negative value of ΔS (-0.00053J/mol.k) infer that the randomness decreases at the adsorbent/adsorbate interface during the adsorption process. FTIR and SEM analyses of the adsorbent suggest that adsorption of the dye was through an electrostatic interaction between the functional groups present in the dye and those on the surface of the adsorbent
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    Clustering and discernment of Algerian bee pollen using an image analysis system
    (University of Eloued جامعة الوادي, 2021-07-15) ARebiaia B-Ben Seghirbc- H Hemmami-S. Zeghoudd- TSihamd I- Kouadrie H- Tereaf F- Brahmiad
    In this paper, we suggest a framework for multi-focal image classification and identification, the methodology being demonstrated on microscope pollen images (image processing and classification techniques). The framework is intended to be generic and based on a brute force-like approach aimed to be efficient not only on any kind, and any number, of pollen images (regardless of the pollen type), but also on any kind of multi-focal images. Microscope images information obtained from bee pollen samples (72 samples) of different floral origin from various Algerian counties were used to formulate a method for rapid classification using Hierarchical Cluster Analysis (HCA). Both stages of the framework’s pipeline are planned to be used in an automated fashion. First, the optimum focus is chosen using the absolute gradient method. Then, pollen grains are collected using a coarse-to-fine method involving both clustering and morphological techniques. Finally, features are extracted and selected using a generalized method, and their classification is checked with using HCA. Our findings indicate that HCA meets the demands for automatic pollen detection making it an alternative method for research concerning pollen.
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    Cationic dyes removal from wastewater by adsorptive method: A systematic in-depth review
    (University of Eloued جامعة الوادي, 2021-07-04) Yunusa,Umar. Usman ,Bishir . Ibrahim , Muhammad Bashir
    One of the most pressing environmental problems is the existence of synthetic dyes in industrial wastewaters. The presence of dyes in wastewater can cause severe problems to human beings and aquatic life, and that warrants removal from aqueous medium. Amongst the multiple strategies to treat dye-contaminated water, adsorption is considered superior because of low cost, flexibility, ease of operation and lower energy consumption. Many adsorbents, including carbon-based materials, biomaterials, nanomaterials, Schiff bases, metal-organic frameworks as well as natural and synthetic polymers, have been successfully applied in cationic dyes remediation. The current review article provides literature information about cationic dyes, various treatment strategies, principles of adsorption and recent trends in adsorbents application were discussed at length. The applicability of various isotherms and kinetic models for cationic dyes removal by diversified adsorbents is also highlighted here. Conclusions have been drawn from the literature reviewed and recommendations for future research perspectives are proposed