2021
DOI: 10.1016/j.jece.2021.105056
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Modeling and computational fluid dynamic simulation of acetaminophen adsorption using sugarcane bagasse

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Cited by 36 publications
(10 citation statements)
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“…They illustrate the variation of copper concentration along the column for a value of Q of 1 ml min −1 . Next to each image, a color scale is shown; it depicts the equivalent concentration value according to the color (Vera et al, 2021). The predicted concentrations solved numerically indicate that after passing of the copper solution through CVR in the fixed bed column, the biosorbent CVR sorbs copper until saturation time.…”
Section: Resultsmentioning
confidence: 99%
“…They illustrate the variation of copper concentration along the column for a value of Q of 1 ml min −1 . Next to each image, a color scale is shown; it depicts the equivalent concentration value according to the color (Vera et al, 2021). The predicted concentrations solved numerically indicate that after passing of the copper solution through CVR in the fixed bed column, the biosorbent CVR sorbs copper until saturation time.…”
Section: Resultsmentioning
confidence: 99%
“…These tools are used to screen a vast array of materials, including metal-organic frameworks (MOFs), to identify the most effective adsorbent candidates. MOFs, with their customizable structures and functionalities, have shown great promise in adsorption applications due to their high porosity and tunable chemical properties [ 40 ].…”
Section: Advances To Overcome Current Limitationsmentioning
confidence: 99%
“…In fact, there is a consensus that improving material properties alone is not sufficient to realize next-generation separations systems. , Yet, promising materials are rarely evaluated in the context of a process at scale to assess feasibility, economics, and sustainability for specific applications. , Instead, modeling efforts are often siloed to traditional domains and length scales. For example, equilibrium models , and fluid dynamics equations , are used to study the evolution of concentration profiles in adsorption systems, with model parameters estimated by fitting data obtained from bench-scale column tests to the model predictions . Scale-up is then achieved by increasing the throughput and sorbent mass loading by resizing the bench-scale equipment while keeping the operating velocity and theoretical plate height constant and minimizing mass-transfer resistances defined using empirical correlations. , On the process scale, partial differential algebraic equation-constrained optimization is used to synthesize the best regeneration cycles for pressure swing adsorption, simulated moving beds, and similar processes for given application specifications. None of these adsorption modeling paradigms facilitate rapid assessment of new materials in the context of specific separation applications.…”
Section: Introductionmentioning
confidence: 99%