Department of chemistry, Lahijan Branch, Islamic Azad University, Lahijan. Iran. , Dr.porgham54@gmail.com
Abstract: (355 Views)
Research Subject: Optical sensors based on porous coordination polymers or metal-organic frameworks (MOF) with luminescent properties with high sensitivity and selectivity are considered as important identification tools in chemical and environmental research. Today, pesticides/herbicides are widely used in order to protect the widely used food resources of human society against pests and to preserve the richness of arable land against weeds and unnecessary things in industries. Agriculture is considered. A large or chronic amount of these compounds can cause high levels of toxicity in humans, animals and plants and endanger the lives of organisms. Therefore, the identification of this group of compounds is of great importance.
Research Approach: In this study, metal-organic framework UiO-66-NH2 fluorescence nanosensor (1) was synthesized to identify the herbicide Trifluralin (TFA) by ultrasonic method. The properties of nanosensor 1 were identified by X-ray powder diffraction analysis, infrared Fourier transform, thermal analysis, photoluminescence spectra, ultraviolet-visible spectrophotometry, and scanning electron microscopy. The blue emission of compound 1 caused by n-π* electron transfers of 2-aminoterephthalic acid ligand was investigated to identify TFA. The experimental results show that the blue fluorescence emission of nanosensor 1 is turned off in the presence of TFA molecule and the gradual increase in its concentration.
Main Results: Nanosensor 1 is associated with fast, stable, selectable response and high sensitivity in determining TFA. Considering the good linear correlation of the fluorescence response of nanosensor 1 to TFA concentration in the range of 10 to 100 µM and the lowest detection limit (LOD) equal to 2.32 µM, it indicates the reliability and practicality of the synthetic nanosensor in identifying TFA herbicide.
Article Type:
Original Research |
Subject:
IR Spectroscopy Received: 2024/04/11 | Accepted: 2024/10/6 | Published: 2023/11/1