Issue 5, 2020
From the journal:

Analytical Methods

Application of an iron-based porphyrinic metal–organic framework for removal of warfarin from aqueous solutions†

Zahra Safaei Moghaddam,a   Massoud Kaykhaii, ORCID logo *a   Mostafa Khajehb  and  Ali Reza Oveisi ORCID logo b  

* Corresponding authors

a Department of Chemistry, Faculty of Sciences, University of Sistan and Baluchestan, Zahedan 98135-674, Iran
E-mail: kaykhaii@chem.usb.ac.ir
Fax: +98(54)33431067
Tel: +98(54)33446413

b Department of Chemistry, Faculty of Sciences, University of Zabol, Zabol, Iran

Abstract

In this study, an iron-based porphyrinic metal–organic framework, called PCN-600(Fe), was prepared by a solvo-thermal method and fully characterized. The bio-inspired and mesoporous PCN-600(Fe) was then applied for the adsorptive removal of sodium warfarin, a synthetic anticoagulant, from aqueous solutions. Various experimental parameters affecting adsorption such as the pH of the sample, contact time, initial analyte concentration, and amount of sorbent were investigated and optimized. The adsorption of sodium warfarin onto PCN-600(Fe) was confirmed to obey the Langmuir isotherm model with pseudo second-order kinetics with a maximum adsorption capacity of 370 mg g−1. Porosity, Lewis acidity of iron sites, and electrostatic interactions possibly play vital roles in such a high tendency of PCN-600(Fe) toward sodium warfarin adsorption. Finally PCN-600(Fe) was successfully applied to remove this analyte from a few real samples with removal better than 92 percent.

Graphical abstract: Application of an iron-based porphyrinic metal–organic framework for removal of warfarin from aqueous solutions

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Article information

DOI
https://doi.org/10.1039/C9AY01769K
Article type
Paper
Submitted
16 Aug 2019
Accepted
17 Dec 2019
First published
18 Dec 2019

Anal. Methods, 2020,12, 651-656

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Application of an iron-based porphyrinic metal–organic framework for removal of warfarin from aqueous solutions

Z. Safaei Moghaddam, M. Kaykhaii, M. Khajeh and A. R. Oveisi, Anal. Methods, 2020, 12, 651 DOI: 10.1039/C9AY01769K

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