DOE OSTI · 3027612
Predicting Multicomponent Aqueous Phase Adsorption Equilibria of Organic Acids Using the Generalized Brunauer–Emmett–Teller Isotherm Model
Abstract
Here, to support process development of adsorptive separation of organic acids, this work presents a thermodynamic modeling methodology to predict multicomponent aqueous phase organic acid adsorption equilibria from single-component adsorption isotherms using the generalized Brunauer–Emmett–Teller isotherm model (gBET). With the organic acid fugacities rigorously accounting for the aqueous phase organic acid solution chemistry and solution nonideality, gBET precisely represents the single-component adsorption isotherms and accurately predicts the binary and ternary mixed-acid adsorption equilibria for the ranges of initial pH (∼3–7), acid concentration (100–400 mmol/L), and temperature (298.15–328.15 K) with less than 10% average absolute relative deviation. In addition, gBET with pH-independent parameters provides insights into the underlying adsorption phenomena, including the adsorbate loadings and compositions in the monolayer and subsequent layers under varying initial pH, temperature, concentration, and composition. The gBET model predictions outperform the predictions from the overloading model and the Ideal Dilute Solution Theory.
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Hamid, Usman [Texas Tech Univ., Lubbock, TX (United States)] (ORCID:0000000182186299), Hsieh, Cheng-Ju [Texas Tech Univ., Lubbock, TX (United States)] (ORCID:0009000587169638), Wu, Haoran [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000298981673), Valentino, Lauren [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000262590304), Urgun-Demirtas, Meltem [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000315811554), Chen, Chau-Chyun [Texas Tech Univ., Lubbock, TX (United States)] (ORCID:0000000300269176). 2025-07-30. Predicting Multicomponent Aqueous Phase Adsorption Equilibria of Organic Acids Using the Generalized Brunauer–Emmett–Teller Isotherm Model. https://doi.org/10.1021/acs.iecr.5c00860
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