Having rigorous mathematical models is essential for the design and scaling of adsorption columns. In this study, the dynamic behavior of the sulfamethoxazole adsorption on sugarcane bagasse was studied and compared using analytical models and a theoretical mechanistic model. Initially, fixed-bed column tests were carried out at different flow rates and bed heights. Then, the experimental data were fitted with the most widely used analytical kinetic models, and their fit and fixed-bed parameters were compared with the mechanistic model. Of all analytical models analyzed, the Log-Gompertz model was the one that had the best agreed with experimental data. Although some analytical models fitted the experimental data accurately, their usefulness was questionable. Their parameters did not show a clear relationship with the change in operating conditions, and in certain cases had different behavior from that observed in experimentation. Conversely, the mechanistic model not only predicted the breakthrough curves with great accuracy in the initial and transition stage (R > 0.92; SSE < 0.06), but it also estimated relevant parameters. Additionally, the effects of the global mass transfer coefficient (K) and the axial dispersion coefficient (D) on breakthrough curves were studied using the mechanistic model. Increasing K increased the slope of the breakthrough curves with a faster adsorption rate. Similarly, high values of D produced lower adsorption capacities of the adsorbent; and it was established that the axial dispersion is relevant in SMX adsorption on SB. The theoretical model presented can be used for the design, scaling, and optimization of adsorption columns.
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http://dx.doi.org/10.1016/j.chemosphere.2021.130687 | DOI Listing |
Soft Matter
January 2025
Departamento de Física, Universidade Federal de Viçosa (UFV), Av. P. H. Rolfs, s/n, 36570-900 Viçosa, Brazil.
We introduce a generalization of the Kelvin-Voigt model in order to include and characterize heterogeneities in viscoelastic semisolid materials. By considering a microrheological approach, we present analytical expressions for the mean square displacement and for the time-dependent diffusion coefficient of probe particles immersed in a viscoelastic material described by this model. Besides validating our theoretical approach through Brownian dynamics simulations, we show how the model can be used to describe experimental data obtained for polyacrylamide and LAPONITE® gels.
View Article and Find Full Text PDFFront Public Health
January 2025
School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.
Introduction: HIV self-testing (HIVST) is an innovative strategy that has been shown to increase uptake of HIV testing compared to conventional facility-based testing. HIVST implementation with digital-based supports may help facilitate testing accessibility and linkage to care after a reactive self-test. Economic evidence around community-based implementation of HIVST is growing; however, economic evidence around digital-based HIVST approaches remains limited.
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January 2025
Department of Human Development and Family Studies, Pennsylvania State University, University Park, PA, United States.
Introduction: Recovery community centers (RCCs) offer various support services to people in addiction recovery, such as hosting mutual help meetings and sober social activities and providing employment support and recovery coaching. To date, very little is known about RCCs and their relationship with recovery outcomes, as well as how RCCs may vary in helpfulness from visit to visit. This study used a daily diary approach to assess the intraindividual variation of daily RCC helpfulness, and whether RCC helpfulness predicted the holistic recovery indices of daily meaningfulness and recovery identity.
View Article and Find Full Text PDFFront Artif Intell
January 2025
Language Intelligence and Information Retrieval (LIIR) Lab, Department of Computer Science, KU Leuven, Leuven, Belgium.
The digitization of healthcare records has revolutionized medical research and patient care, with electronic health records (EHRs) containing a wealth of structured and unstructured data. Extracting valuable information from unstructured clinical text presents a significant challenge, necessitating automated tools for efficient data mining. Natural language processing (NLP) methods have been pivotal in this endeavor, aiming to extract crucial clinical concepts embedded within free-form text.
View Article and Find Full Text PDFHeliyon
January 2025
Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta, 55281, Indonesia.
This study aims to investigate the crystallographic properties of hydroxyapatite (HAp) and strontium-substituted hydroxyapatite (SrHAp) obtained from sand lobster shells (SLS) using various analytical methods. HAp and SrHAp were synthesized by the hydrothermal method using sand lobster () shell waste as a calcium precursor. SLS were calcined at 0 °C, 600 °C, 800 °C, and 1000 °C and characterized by X-ray diffraction (XRD).
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