20 research outputs found
Modeling and Thermodynamic Study of Water Vapor Desorption Isotherms of Orange Peel and Leaves using Statistical Physics Treatment
The shelf life and safety of food products is related to the water content, in particular to the water activity (aw). This is important to predict the physical, chemical and biological processes that take place during food storage. Analytical expression for modeling water desorption isotherms of food is developed using the grand canonical ensemble in statistical physics. The model is further applied to fit and interpret the desorption isotherms of water vapor on the orange peel and leaves at three different temperatures. In the developed model we introduce essentially six parameters such as the number of adsorbed water molecules per site, the number of adsorbed layers, the energy of desorption and receptor sites density. We interpret the results of fitting then we apply the model to calculate thermodynamic functions which govern the desorption mechanism such as internal energy and entropy
Contribution à l'étude de la gustation des molécules sucrées à travers un processus d'adsorption. Modélisation par la physique statistique
L'adsorption des molĂ©cules sucrĂ©es sur les sites rĂ©cepteurs du goĂ»t est une Ă©tape dĂ©terminante dans le mĂ©canisme de la perception de la saveur sucrĂ©e. Naturellement, l adsorption se situe Ă la pĂ©riphĂ©rie dans ce mĂ©canisme. Nous avons rĂ©alisĂ© des courbes de rĂ©ponse psychophysique Ă l'aide d'un dispositif appropriĂ© nommĂ© SMURF pour quatre molĂ©cules sucrĂ©es: le saccharose, le fructose, le glucose et le maltitol. Par l'intermĂ©diaire de l'ensemble grand canonique un traitement de physique statistique a Ă©tĂ© utilisĂ© pour le dĂ©veloppement des expressions analytiques de la rĂ©ponse gustative en terme d'adsorption. La modĂ©lisation nous a permis d'adopter le modĂšle double couche pour l'interprĂ©tation du phĂ©nomĂšne d'adsorption. Les valeurs du nombre de molĂ©cules par site trouvĂ©es nous ont permis de dĂ©terminer le type d'ancrage pour chaque molĂ©cule selon la gĂ©omĂ©trie: un ancrage parallĂšle et un ancrage perpendiculaire. Nous avons trouvĂ© une corrĂ©lation entre le pouvoir sucrant d'une part et l'Ă©nergie d'adsorption, la rĂ©ponse maximale, la solubilitĂ© et le taux d'occupation Ă la concentration seuil d'autre part. En parallĂšle nous avons rĂ©alisĂ© des isothermes d'adsorption du saccharose Ă l'aide d'une microbalance Ă quartz (QCM) sur trois couches minces de porphyrine, de calixarĂšne et d'or. La modĂ©lisation de ces isothermes par le modĂšle de BET modifiĂ© nous a permis de caractĂ©riser l'adsorption Ă l'aide des paramĂštres physicochimiques du modĂšle. Nous avons montrĂ© que les nombres de molĂ©cules par site et les Ă©nergies d'adsorption sont proches de celles de la gustation. Le saccharose prĂ©sente donc le mĂȘme comportement sur ces supports que dans le mĂ©canisme de perception du goĂ»tAdsorption of sweet molecules on gustatory receptor sites is a determining step in the mechanism of taste chemoreception. Obviously adsorption is a peripheral event. A SMURF device (Sensory Measuring Unit for Recording Flux) is used to obtain experimental psychophysical curves relative to four sweeteners: sucrose, fructose, glucose and maltitol. Through the grand canonical ensemble a treatment of statistical physics is used to develop analytic expressions of the gustatory response in terms of adsorption. The modeling allowed selecting of the double layer model which is used to interpret the adsorption phenomenon. The variation of the number of adsorbed molecules per site permitted proposing of two types of anchorage of a sweet molecule to the adsorbent surface: the first consists in a parallel anchorage and the second is a perpendicular anchorage. We found out a relationship between sweetness potency of molecules and the physical parameters of the model. Hence, a correlation was found between sweetness potency on the one hand and the maximum response, the solubility, and the occupation rate at threshold concentration on the other. In parallel we carried out using a Quartz Crystal Microbalance (QCM) adsorption isotherms of sucrose on three thin layers of porphyrin, calixarene and gold. The modeling of the isotherms by the modified BET model allowed characterization of the adsorption using physicochemical parameters of the model. We showed that the number of molecules per site and the adsorption energies are similar to those of taste. So the sucrose presents the same behavior on these supports as in taste chemoreceptionREIMS-BU Sciences (514542101) / SudocSudocFranceF
Equilibrium isotherm simulation of tetrachlorethylene on activated carbon using the double layer model with two energies: Steric and energetic interpretations
In this paper, the adsorption isotherms of tetrachlorethylene (PCE) on activated carbon at different temperature were simulated and interpreted using the double layer model with two energies. The formulation of this model was based on statistical physics formalism. Steric and energetic parameters related to the adsorption process were introduced in this model, such as the number of molecules per site (n), the receptor sites density N-M and the concentrations at half saturation c(1) and c(2). These parameters were deduced by numerical simulation of the adsorption isotherms and interpreted at different temperatures. Thermodynamic functions of adsorption process, i.e., entropy, free enthalpy and internal energy were computed and their negative values indicate that the adsorption is exothermic and spontaneous
Application of statistical physics formalism to the modeling of adsorption isotherms of ibuprofen on activated carbon
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Binary adsorption isotherms of two ionic liquids and ibuprofen on an activated carbon cloth: simulation and interpretations using statistical and COSMO-RS models
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Experimental and theoretical studies of adsorption of ibuprofen on raw and two chemically modified activated carbons: new physicochemical interpretations
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Advanced green peel utilization for efficient methylene blue removal: Integrated analysis and predictive modeling
International audienceThis study explores the adsorption of Methylene Blue (MB) onto Green Peel (GP) material, utilizing advanced analytical techniques and modeling approaches. Fourier-transform infrared spectroscopy (FT-IR) confirms GPâs effectiveness as an adsorbent. The study systematically examines the influence of key factors such as adsorbent dose, pH, MB concentration, and temperature on adsorption efficiency. Among the isotherm models analyzed, the monolayer with double energy (M2) model is identified as the most accurate for describing MB adsorption onto GP. Steric parameters provide insights into the adsorption mechanism, revealing temperature-dependent changes. Thermodynamic analysis indicates an exothermic adsorption process, with a decrease in adsorption capacity at elevated temperatures. Density Function Theory (DFT) analysis highlights the potential for electron transfer during adsorption, contributing to a deeper understanding of the process. Molecular Dynamic Simulation (MDS) uncovers stable adsorption configurations and reveals the significance of chemical interactions and Van der Waals forces. Gaussian Process Regression with LĂ©vy Flight Distribution (GPR_LFD) demonstrates exceptional predictive accuracy, closely aligning experimental and predicted MB uptake values. Optimal adsorption conditions (30 min contact time, 0.6 g adsorbent dose, 400 mg/L initial MB concentration, pH 6.6, and 10 °C) yield an adsorption capacity of 207.90 mg/g. The integration of LFD optimization and GPR prediction through a MATLAB interface further enhances the practical application of these findings. This comprehensive investigation not only advances the understanding of MB adsorption onto GP but also highlights GPâs potential as an efficient, reusable adsorbent
Mechanistic insights and steric interpretations through statistical physics modelling and density functional theory calculations for the adsorption of the pesticides atrazine and diuron by Hovenia dulcis biochar
International audienceAtrazine and diuron are two pesticide compounds with very low surface interaction capacity, whose adsorption efficiency remains a challenge in environmental remediation applications. In this work, statistical physics (sta-phy) modelling and density functional theory (DFT) calculations have explored several still unveiled mechanisms involved. A model activated carbon (AC) sample was produced with Hovenia dulcis fruit residues, a local invasive tree species. The adsorption process was spontaneous and endothermic, and the adsorption capacities () increased as the temperature increased. The number of adsorbate molecules per site (n) decreased as the density of the receptor site (Nm) increased, revealing that the temperature influences the geometry of the molecules during the surface interaction. According to the electrostatic mapping provided by the DFT calculations, it was possible to infer that the obtained Qm values for atrazine, between 42.54 and 73.20 mg gâ1, can be a response caused by its own self-repulsion. For diuron, due to its increased neutrality, the potential balance of the electrostatic charges between adsorbate-adsorbent tends to be more effective, resulting in higher Qm values, ranging from 97.91 to 119.7 mg gâ1. Therefore, the combination of sta-phy modelling with quantum mechanics calculations is a powerful tool for mechanism interpretation, capable of providing complementary insights into the adsorption process from both adsorbent and adsorbate perspectives
Steric and energetic interpretations of the equilibrium adsorption of two new pyridinium ionic liquids and ibuprofen on a microporous activated carbon cloth: Statistical and COSMO-RS models
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