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(3,3)-Connected Triazine-Based Covalent Organic Frameworks for Efficient CO2 Separation over N2 and Dye Adsorption.
Zhao, Jie; Shen, Xinyu; Liu, Yi-Fan; Zou, Ru-Yi.
Afiliação
  • Zhao J; College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
  • Shen X; College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
  • Liu YF; College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
  • Zou RY; College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
Langmuir ; 39(46): 16367-16373, 2023 Nov 21.
Article em En | MEDLINE | ID: mdl-37939229
Covalent organic frameworks (COFs) are a promising class of adsorption and separation materials that can meet the needs of ecological sustainability, such as the removal of carbon dioxide and organic dyes. The two synthesized (3,3)-connected triazine-based COFs demonstrate high specific surface area and good thermal and chemical stability. COFZ1 shows good CO2 adsorption selectivities for different CO2 and N2 volume percentage systems at 273 K and 1 bar, with an ideal adsorbed solution theory (IAST) CO2 selectivity (i.e., separation factor) of 35.09 for the simulated flue gas component and a CO2 adsorption capacity of 24.21 cm3 g-1. In the aqueous dye solutions, both COFs present good adsorption performance for the selected dyes, and the maximum adsorption capacities of COFZ1 for methylene blue (MB) and gentian violet (GV) reach 510 and 564 mg g-1, respectively. Each of the two COFs shows a high anti-interference performance and excellent recyclability. The adsorption capacities of two COFs for RhB (Rhodamine B), MB, and GV hardly vary with pH values and salt concentrations. The adsorption behaviors of the two COFs for dyes follow Langmuir isothermal adsorption and quasi-secondary kinetic adsorption, approaching monolayer adsorption and chemisorption.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Langmuir Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Langmuir Ano de publicação: 2023 Tipo de documento: Article