Adsorption dynamics and rate assessment of volatile organic compounds in active carbon
Literature Information
J. Zhu, H. L. Zhan, X. Y. Miao, Y. Song, K. Zhao
In this paper, an investigation was presented about terahertz time-domain spectroscopy (THz-TDS) as a novel tool for the characterization of the dynamic adsorption rate of volatile organic compounds, including isooctane, ethanol, and butyl acetate, in the pores of active carbon. The THz-TDS peak intensity (EP) was extracted and corresponded to the measurement time frames. By analyzing EP with time, the entire process could be divided into three physical parts including volatilization, adsorption and stabilization so that the adsorption dynamics could be clearly identified. In addition, based on the pseudo-second-order kinetic model and the relationship between EP and time in the adsorption process, a mathematical model was built in terms of the adsorbed rate parameter and the THz parameter. Consequently, the adsorption rate of isooctane, ethanol, and butyl acetate could be assessed by the THz measurement, indicating that THz spectroscopy could be used as a promising selection tool to monitor the adsorption dynamics and evaluate adsorption efficiency in the recovery of pollutants.
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Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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