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Highly defective copper-based metal-organic frameworks for the efficient adsorption and detection of organophosphorus pesticides: An experimental and computational investigation.

Authors :
Fu Q
Jia X
Zhang S
Zhang J
Sun-Waterhouse D
Wang C
Waterhouse GIN
Wu P
Source :
Food chemistry [Food Chem] 2023 Oct 15; Vol. 423, pp. 136319. Date of Electronic Publication: 2023 May 11.
Publication Year :
2023

Abstract

Organophosphorus pesticide (OP) residues pose a serious threat to human health, motivating the search for novel adsorbents and detection methods. Herein, defective copper-based metal organic frameworks (Cu-MOFs) were synthesized by the reaction of Cu <superscript>2+</superscript> ions and 1,3,5-benzenetricarboxylate linkers in the presence of acetic acid. As the amount of acetic acid increased, the crystallization kinetics and morphology of the Cu-MOFs changed, leading to mesoporous Cu-MOFs with many large surface pores (defects). Adsorption studies of OPs revealed the defective Cu-MOFs showed faster pesticide adsorption kinetics and higher pesticide adsorption capacities. Density functional theory calculations showed that pesticide adsorption in the Cu-MOFs was mainly electrostatic. A dispersive solid phase extraction method was developed based on a defective Cu-MOF-6 for rapidly extracting pesticides from food samples. The method allowed pesticide detection over a wide linear concentration range, low limits of detection (0.0067-0.0164 µg L <superscript>-1</superscript> ) and good recoveries in pesticide-spiked samples (81.03-109.55%).<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Details

Language :
English
ISSN :
1873-7072
Volume :
423
Database :
MEDLINE
Journal :
Food chemistry
Publication Type :
Academic Journal
Accession number :
37187007
Full Text :
https://doi.org/10.1016/j.foodchem.2023.136319