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Taguchi-Assisted Optimization Technique and Density Functional Theory for Green Synthesis of a Novel Cu-MOF Derived From Caffeic Acid and Its Anticancerious Activities.
Zeraati, Malihe; Mohammadi, Ali; Vafaei, Somayeh; Chauhan, Narendra Pal Singh; Sargazi, Ghasem.
Afiliación
  • Zeraati M; Department of Materials Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.
  • Mohammadi A; Department of Genetics, Islamic Azad University of Marand, Marand, Iran.
  • Vafaei S; Department of Stem Cells and Developmental Biology, ACECR, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, Tehran, Iran.
  • Chauhan NPS; Department of Chemistry, Faculty of Science, Bhupal Nobles' University, Udaipur, India.
  • Sargazi G; Noncommunicable Diseases Research Center, Bam University of Medical Sciences, Bam, Iran.
Front Chem ; 9: 722990, 2021.
Article en En | MEDLINE | ID: mdl-34900931
ABSTRACT
In this paper, we have reported an innovative greener method for developing copper-metal organic frameworks (Cu-MOFs) using caffeic acid (CA) as a linker extracted from Satureja hortensis using ultrasonic bath. The density functional theory is used to discuss the Cu-MOF-binding reaction mechanism. In order to achieve a discrepancy between the energy levels of the interactive precursor orbitals, the molecules have been optimized using the B3LYP/6-31G method. The Taguchi method was used to optimize the key parameters for the synthesis of Cu-MOF. FT-IR, XRD, nitrogen adsorption, and SEM analyses are used to characterize it. The adsorption/desorption and SEM analyses suggested that Cu-MOF has a larger surface area of 284.94 m2/g with high porosity. Cu-MOF has shown anticancer activities against the human breast cancer (MDA-MB-468) cell lines, and it could be a potent candidate for clinical applications.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Chem Año: 2021 Tipo del documento: Article País de afiliación: Irán

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Chem Año: 2021 Tipo del documento: Article País de afiliación: Irán