Intitulé de l’équipe de recherche : Synthèse et caractérisation physico-chimique des biomatériaux
Acronyme et code : SCBM C0560103
Domaine : SI/Génie des procédés et environnement
COMPOSANTE HUMAINE :
Chef d’équipe : Pr. BENKORTEBI Othmane
Description scientifique du programme de recherche
La thématique de recherche de notre équipe s’axe principalement sur les points suivants :
- La préparation par extraction et purification et/ou modification chimique des matériaux d’origine naturelle: végétale ou animale.
- La caractérisation physico-chimique de ces matériaux en utilisant les techniques appropriées: spectroscopies, microscopie électronique, .etc.
- Application des biomatériaux en tant que substituts tissulaires ou en tant que vecteurs pour des agents actifs de nature thérapeutique. Dans le premier cas il s’agit d’essayer de reproduire les caractéristiques fonctionnelles du tissu à remplacer en s’assurant d’une biocompatibilité acceptable et dans le second cas, fabriquer des ensembles à l’échelle microscopique ou nanométrique (microcapsules, nanoparticules) capables de porter des molécules actives, de les conduire, et ensuite de les libérer dans les sites cibles selon un processus contrôlé. La compréhension et la maîtrise des différents facteurs liés à cette opération et aux systèmes constitués par le biomatériau qui est généralement un biopolymère et l’agent actif sont toujours demandées.
N° | Nom et Prénom | Grade | Qualité | Etablissement |
1 | BENKORTEBI Othmane | Pr. | Chef d’équipe | Fac. Technologie / UYFM |
2 | HAMADACHE Mabrouk | Pr. | Membre | Fac. Technologie / UYFM |
3 | BITAM Said | MCA | Membre | Fac. Technologie / UYFM |
4 | BOUKELKAL Asmaa | MCA | Membre | Fac. Technologie / UYFM |
5 | ATHAMNIA Djamal | MCA | Membre | Fac. Technologie / UYFM |
6 | BELAISSA Yahia | MCB | Membre | Fac. Sciences / UYFM |
publications :
N | Auteurs | Titre de l’article | Journal | Catégorie A+/A/B | Lien sur net ou DOI |
Année de punlication |
1 | Yahia Belaissa et al. | A new hetero-junction p -CuO/ n -ZnO for the removal of amoxicillin by photocatalysis under solar irradiation | J TAIWAN INST CHEM E | A | https://doi.org/10.1016/j.jtice.2016.09.002 | 2016 |
2 | Hamadache mabrouk et al. | A Quantitative Structure Activity Relationship for acute oral toxicity ofpesticides on rats: Validation, domain of application and prediction | J HAZARD MATER | A+ | https://doi.org/10.1016/j.jhazmat.2015.09.021 | 2016 |
3 | Boukhelkhal Asmaa et al. | Adsorptive removal of amoxicillin from wastewater using wheat grains:equilibrium, kinetic, thermodynamic studies and mass transfer, | DESALIN WATER TREAT | A | https://doi.org/10.1080/19443994.2016.1166991 | 2016 |
4 | Hamadache mabrouk et al. | Artificial neural network-based equation to predict the toxicity of herbicides on rats |
CHEMOMETR INTELL LAB | A | https://doi.org/10.1016/j.chemolab.2016.03.007 | 2016 |
5 | Sediri Meriem et al. | Artificial Neural Networks Modeling of Dynamic Adsorption From Aqueous Solution | Moroccan Journal of Chemistry | B | https://doi.org/10.48317/IMIST.PRSM/morjchem-v5i2.7785 | 2017 |
6 | Mahammadou Harouna Bassirou et al. | New approach of the fouling process modeling in tangential filtration on cake | DESALIN WATER TREAT | A | doi: 10.5004/dwt.2017.20576 | 2017 |
7 | Djamel Atsamnia et al. | Prediction of the antibacterial activity of garlic extract on E. coli, S.aureus and B. subtilis by determining the diameter of the inhibitionzones using artificial neural networks | LWT-FOOD SCI TECHNOL | A | https://doi.org/10.1016/j.lwt.2017.04.053 | 2017 |
8 | Bitam Said et al. | QSAR model for prediction of the therapeuticpotency of N-benzylpiperidine derivatives as AChE inhibitors |
SAR QSAR ENVIRON RES | A | https://doi.org/10.1080/1062936X.2017.1331467 | 2017 |
9 | Hamadache mabrouk et al. | Multilayer Perceptron Model for PredictingAcute Toxicity of Fungicides on Rats | International Journal of Quantitative Structure-Property Relationships | B | https://doi.org/10.4018/IJQSPR.2018010106 | 2018 |
10 | Bitam Said et al. | Prediction of therapeutic potency of tacrinederivatives as BuChE inhibitors from quantitative structure–activity relationship modelling |
SAR QSAR ENVIRON RES | A | https://doi.org/10.1080/1062936X.2018.1423640 | 2018 |
11 | Hamadache mabrouk et al. | QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.) |
ENVIRON SCI POLLUT R | A | https://doi.org/10.1007/s11356-017-0498-9 | 2018 |
12 | Boukhelkhal Asmaa et al. | Use of an anionicsurfactant for the sorption of a binary mixture of antibiotics from aqueous solutions, | ENVIRON TECHNOL | A | https://doi.org/10.1080/09593330.2018.1472301 | 2018 |
13 | Mhammadou Harouna Bassirou et al. | Modeling of transitional pore blockage to cake filtration and modified fouling index –Dynamical surface phenomena in membrane filtration, | CHEM ENG SCI | A | https://doi.org/10.1016/j.ces.2018.07.054 | 2019 |
14 | Mahammadou harouna Bassirou et al. | New Alternative of Enhancing Hospital Hygiene Facing Pseudomonas aeruginosa Drug Resistance Impact of Hypertonic Saline Solutions on the Behavior of P. aeruginosa |
ACS Omega | B | https://doi.org/10.1021/acsomega.8b02733 | 2019 |
15 | Gheraba Lamia et al. | Prediction of Climatic Parameters from Physicochemical Parameters using Artificial Neural Networks: Case Study of Ain Defla (Algeria) | KUI | B | https://doi.org/10.15255/KUI.2019.004 | 2019 |
16 | Bitam Said et al. | 2D QSAR studies on a series of (4S,5R)-5-[3,5-bis(trifluoromethyl)phenyl]-4-methyl-1,3-oxazolidin-2-one as CETP inhibitors | SAR and QSAR in Environmental Research | A | https://doi.org/10.1080/1062936X.2020.1765195 | 2020 |
17 | S. Belmadani et al. | Artificial Neural Network Models for Prediction of Density and Kinematic Viscosity of Different Systems of Biofuels and Their Blends with Diesel Fuel. Comparative Analysis. | KUI | B | https://doi.org/10.15255/KUI.2019.053 | 2020 |
18 | Rahal Sofiane et al. | In silico prediction of critical micelle concentration (CMC) of classic and extended anionic surfactants from their molecular structural descriptors | Arabian Journal for Science and Engineering | A | https://doi.org/10.1007/s13369-020-04598-0 | 2020 |
19 | Mahammadou harouna Bassirou et al. | Optimization of Diauxienne Growth of Pseudomonas aeruginosa in the Bioremediation of Soils Polluted by Hydrocarbons | ACTA SCIENTIFIC MICROBIOLOGY | A | http://dx.doi.org/10.31080/ASMI.2020.03.0578
|
2020 |
20 | H. Maouz et al. | QSPR studies of carbonyl, hydroxyl, polyene indices, and viscosity average molecular weight of polymers under photostabilization using ANN and MLR approaches | KUI | B | https://doi.org/10.15255/KUI.2019.022 | 2020 |
21 | Imane Khezrane et al. | Use of hydrocarbons sludge as a substrate for the production of biosurfactants by Pseudomonas aeruginosa ATCC 27853 | Environmental monitoring and assessment | A | https://doi.org/10.1007/s10661-020-08269-3 | 2020 |
22 | Laidi Maamar et al. | CMC OF DIVERSE GEMINI SURFACTANTS MODELING USING A HYBRID APPROACH COMBINING SVR-DA | Chemical Industry & Chemical Engineering Quarterly | A | https://doi.org/10.2298/CICEQ200907048L | 2021 |
23 | M. Hammoudi et al. | Optimisation of the Microencapsulation of an Active Ingredient by Crosslinking and the Coating Method to Target Colon Diseases | KUI | B | https://doi.org/10.15255/KUI.2020.056 | 2021 |
24 | K. Otmanine et al. | Preventive Activity of Giner (Zingiber officinale) Against Myelotoxicity and Hepatotoxicity Induced by Cyclohexatriene and Identification of the Most Active … | KUI | B | https://doi.org/10.15255/KUI.2020.062 | 2021 |
25 | OMARI Souhila et al. | Response surface methodology for the study of interactions between components in a micellar system formulation | Journal of the Serbian Chemical Society | A | https://doi.org/10.2298/JSC210216033O | 2021 |
26 | Yahia Belaissa et al. | A new hybrid process for Amoxicillin elimination by combination of adsorption and photocatalysis on (CuO/AC) under solar irradiation | Journal of Molecular Structure | A | https://doi.org/10.1016/j.molstruc.2022.132769 | 2022 |
27 | Mohamed Sannad et al. | A numerical simulation under milk fouling in a plate heat exchanger in the presence of a porous medium | Journal of Advanced Research in Fluid Mechanics and Thermal Sciences | B | https://doi.org/10.37934/arfmts.91.1.117 | 2022 |
28 | Djamel Atsamnia et al. | Comparative Therapeutic Properties of Garlic Extract and Metformin on Hyperglycaemia, Hypercholesterolaemia, and Hypertriglyceridaemia in Alloxan-induced Type1-like Diabetic Rats | KUI | B | https://doi.org/10.15255/KUI.2021.035 | 2022 |
29 | Abd Elaziz Sarrai et al. | Modeling and optimization of Tylosin adsorption using dehydrated wheat bran: adsorption behaviors, kinetic and thermodynamic studies | Reaction Kinetics, Mechanisms, and Catalysis | A | https://doi.org/10.1007/s11144-022-02241-7 | 2022 |
30 | Imane Euldji et al. | QSPR Modelling of the Solubility of Drug and Drug‐like Compounds in Supercritical Carbon Dioxide | Molecular Informatics | A | https://doi.org/10.1002/minf.202200026 | 2022 |
31 | Yahia Belaissa et al. | Removal of amoxicillin in aqueous solutions by a chemical activated carbons derived from Jujube nuts: adsorption behaviors, kinetic and thermodynamic studies | Reaction Kinetics, Mechanisms, and Catalysis | A | https://doi.org/10.1007/s11144-022-02159-0 | 2022 |
32 | Mohamed Kouider Amar et al. | Rheological and structural study of solid lipid microstructures stabilized within a lamellar gel network | Journal of Pharmaceutical Innovation | A | https://doi.org/10.1007/s12247-022-09642-0 | 2022 |
33 | OMARI Souhila et al. | Synthesis and characterization of activated carbon from red pumpkin skin for the removal of ionic dyes | Water Practice & Technology | B | https://doi.org/10.2166/wpt.2022.038 | 2022 |
34 | Bitam Said et al. | 2D-QSAR, docking, molecular dynamics, studies of PF-07321332 analogues to identify alternative inhibitors against 3CLpro enzyme in SARS-CoV disease | Journal of Biomolecular Structure and Dynamics | A | https://doi.org/10.1080/07391102.2022.2113822 | 2023 |
35 | N. Ghalem et al. | A new comprehensive model of thermal conductivity for hydrofluoroolefins refrigerants using feed-forward back-propagation neural networks | Thermophysics and Aeromechanics | B | https://doi.org/10.1134/S086986432302018X | 2023 |
36 | Imane Euldji et al. | A new hybrid quantitative structure property relationships-support vector regression (QSPR-SVR) approach for predicting the solubility of drug compounds in supercritical carbon … | AIChE journal | A | https://doi.org/10.1002/aic.18115 | 2023 |
37 | Achouak Madani et al. | In silico prediction of the inhibition of new molecules on SARS-CoV-2 3CL protease by using QSAR: PSOSVR approach | Brazilian Journal of Chemical Engineering | A | https://doi.org/10.1007/s43153-023-00332-z | 2023 |
38 | Widad Benmouloud et al. | Machine learning approach for the prediction of surface tension of binary mixtures containing ionic liquids using σ‐profile descriptors | International Journal of Quantum Chemistry | A | https://doi.org/10.1002/qua.27026 | 2023 |
39 | Yahia Belaissa et al. | Methylene blue Photo-degradation on the Hetero-junction system α-Fe2O3 / BaTiO3 under sunlight | Journal of Photochemistry and Photobiology A: Chemistry | A | https://doi.org/10.1016/j.jphotochem.2023.114634 | 2023 |
40 | Rahal Sofiane et al. | Remediation of crude oil polluted soil using washing process with surfactant in batch reactor | Algerian Journal of Environmental Science and TechnologyVol.9 n°2 | B | – | 2023 |
41 | H. Fodil Cherif et al. | Thermodynamic and kinetic study of the improvement of the adsorption efficiency of Hexavalent chromium (VI) ions by encapsulated modified prickly pear peel | Algerian Journal of Environmental Science and Technology
Vol.9 n°3 |
B | – | 2023 |
42 | Imane Euldji et al. | Hybrid Improved Grey Wolf Support Vector Regression Algorithm for Modeling Solubilities of APIs in Pure Ionic Liquids: σ-Profile Descriptors | Journal of Chemical Information and Modeling | A | https://doi.org/10.1021/acs.jcim.3c01876 | 2024 |
43 | Nada Boukelkal et al. | QSPR for the prediction of critical micelle concentration of different classes of surfactants using machine learning algorithms | Journal of Molecular Graphics and Modelling | A | https://doi.org/10.1016/j.jmgm.2024.108757 | 2024 |
44 | Bitam Said et al. | Targeting bladder cancer with Trigonella foenum-graecum: a computational study using network pharmacology and molecular docking | Journal of Biomolecular Structure and Dynamics | A | https://doi.org/10.1080/07391102.2023.2217926 | 2024 |
Auteurs | Titre du chapitre | Livre | Lien sur net ouDOI | Editeur | ||
45 | Mabrouk Hamadache et al. | QSAR Approaches and Ecotoxicological Risk Assessment | Ecotoxicological QSARs | https://doi.org/10.1007/978-1-0716-0150-1_25 | Humana, New York, NY | |
46 | Mabrouk Hamadache et al. | Contribution of Chemometric Modeling to Chemical Risks Assessment for Aquatic Plants: State‐of‐the‐Art | Chemometrics and Cheminformatics in Aquatic Toxicology | https://doi.org/10.1002/9781119681397.ch20 | John Wiley & Sons, Inc | |
47 | Hamadache M.et al. | Environmental Toxicity of Pesticides, and Its Modeling by QSAR Approaches: In: Roy K. (eds) Advances in QSAR Modeling. Challenges and Advances in Computational Chemistry and Physics, | Advances in QSAR modeling. Callenges and Advances.. | https://doi.org/10.1007/978-3-319-56850-8_13 | Springer International Publishing |