Electronic‐Structure‐Guided Screening of Piperazine Derivatives: Achieving Efficient CO <sub>2</sub> Capture with High Cyclic Capacity and Low Energy Consumption

Piperazine (PZ) is a promising alternative to monoethanolamine (MEA) for CO<sub>2</sub> capture, yet its low desorption efficiency restricts practical implementation. Here, a density functional theory (DFT)-driven framework is developed to identify PZ derivatives with improved performance. By integrating electronic descriptors-including molecular electrostatic potential (ESP) for absorption capacity, ESP at hydrogen nuclei (ESP_H) for desorption efficiency, activation barrier (ΔG‡) and Gibbs free energy change (ΔG) for absorption rate, and interaction-region indicator (IRI) for energy consumption-the key performance of the derivatives is predicted. Experimental validation confirms the framework's predictive accuracy, with 2,6-dimethylpiperazine (26DMPZ) identified as an optimal candidate. It demonstrates a desorption amount of 0.72 mol mol<sup>-1</sup>-amine (≈80% higher than PZ), due to more negative ESP_H values. Furthermore, it shows 31% lower energy consumption compared to MEA, attributed to unstable dicarbamate formation. Spectroscopic analyses and solvation free energy calculations reveal that the low-solubility of this dicarbamate salt further enhances CO<sub>2</sub> capture performance without requiring organic solvents. Notably, the system retains 98.4% of its initial cyclic capacity over 10 rapid absorption-desorption cycles, indicating the industrial application potential. This study establishes an electronic-structure-guided screening strategy for amine solvents, highlighting precipitation-driven phase separation as a tunable mechanism to optimize CO<sub>2</sub> capture performance.

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Publication Details

Journal
Advanced Science
Published
2025-09-26
DOI
https://doi.org/10.1002/advs.202513855
Citations
1
Primary Topic
Carbon Dioxide Capture Technologies
Type
article
Field-Weighted Citation Impact
0.71
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article

Electronic‐Structure‐Guided Screening of Piperazine Derivatives: Achieving Efficient CO 2 Capture with High Cyclic Capacity and Low Energy Consumption

Feng Yan, Xuehua Shen, Lin Han, Junyang Lu et al.
1 citations
Advanced Science
Carbon Dioxide Capture Technologies
0.71
article

Electronic‐Structure‐Guided Screening of Piperazine Derivatives: Achieving Efficient CO 2 Capture with High Cyclic Capacity and Low Energy Consumption

Feng Yan, Xuehua Shen, Lin Han, Junyang Lu, Zuotai Zhang, Feng Xie
article en
1 citations

Abstract

Piperazine (PZ) is a promising alternative to monoethanolamine (MEA) for CO<sub>2</sub> capture, yet its low desorption efficiency restricts practical implementation. Here, a density functional theory (DFT)-driven framework is developed to identify PZ derivatives with improved performance. By integrating electronic descriptors-including molecular electrostatic potential (ESP) for absorption capacity, ESP at hydrogen nuclei (ESP_H) for desorption efficiency, activation barrier (ΔG‡) and Gibbs free energy change (ΔG) for absorption rate, and interaction-region indicator (IRI) for energy consumption-the key performance of the derivatives is predicted. Experimental validation confirms the framework's predictive accuracy, with 2,6-dimethylpiperazine (26DMPZ) identified as an optimal candidate. It demonstrates a desorption amount of 0.72 mol mol<sup>-1</sup>-amine (≈80% higher than PZ), due to more negative ESP_H values. Furthermore, it shows 31% lower energy consumption compared to MEA, attributed to unstable dicarbamate formation. Spectroscopic analyses and solvation free energy calculations reveal that the low-solubility of this dicarbamate salt further enhances CO<sub>2</sub> capture performance without requiring organic solvents. Notably, the system retains 98.4% of its initial cyclic capacity over 10 rapid absorption-desorption cycles, indicating the industrial application potential. This study establishes an electronic-structure-guided screening strategy for amine solvents, highlighting precipitation-driven phase separation as a tunable mechanism to optimize CO<sub>2</sub> capture performance.

Advanced ScienceVol. 12(46)
Southern University of Science and Technology (CN)
Openalex Percentile: Top 27%
Carbon Dioxide Capture Technologies
0.71
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