journal article·2024-10-25

Nanoporous MOF-303 Performance for Atmospheric Water Harvesting in the Presence of Airborne Contaminants: GCMC and DFT Simulations

Yulin Li, Jun Yu, Yuan Li, Junyi Shen, Mu Du, Xuankai Zhang, Hongxia Zhao, Jin Huan Pu

ACS Applied Nano Materials· Volume 7· Issue 20
Publisher page

Abstract

This study assesses the suitability of MOF-303 for atmospheric water harvesting (AWH) in polluted environments using Grand Canonical Monte Carlo (GCMC) and density functional theory (DFT) methods. GCMC simulations validated MOF-303’s water adsorption capacity, closely aligned with experimental data. Simulated H 2 O uptake was 0.50 g/g at 298 K and 3000 Pa, with binding energies for the first four water molecules ranging from −71.86 to −47.35 kJ/mol. MOF-303 exhibited a strong affinity for SO 2, with an uptake of 0.40 g/g at 298 K and 3000 Pa, while the uptake of NO and NO 2 was minimal. SO 2 uptake gradually increased with pressure, unlike the steplike behavior observed in water adsorption, with binding energies increased from −41 to 39.64 kJ/mol for the first four SO 2 molecules. In mixed-component scenarios of H 2 O and SO 2, H 2 O demonstrated dominant adsorption behavior over SO 2, even with increasing SO 2 concentrations, which delayed the characteristic steep step in the H 2 O adsorption isotherm. Conversely, SO 2 uptake peaked at low pressure and then sharply declined to nearly zero. The maximum selectivity for SO 2 over H 2 O did not exceed 0.3. Overall, MOF-303 proves to be a promising material for AWH, even in polluted environments. This study offers valuable insights for optimizing MOF-303 for practical deployment in diverse environmental settings, enhancing its potential for SO 2 detection, capture, and air quality control strategies.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gas Sensing Nanomaterials and Sensors · ZnO doping and properties · Solar-Powered Water Purification Methods

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute for Advanced Technology, Shandong University, Jinan 250061, China

Institute of Thermal Science and Technology, Shandong University, Jinan 250061, China

School of Energy and Power Engineering, Shandong University, Jinan 250061, China

Shenzhen Research Institute of Shandong University, Shenzhen 518057, China

Funding

Shandong Provincial Natural Science Foundation · Guangdong Basic and Applied Basic Research

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