Publications by authors named "A Afkhami"

Determining 2,4,6-trinitrotoluene (TNT) in aqueous solution is of great importance for public security, environment, and public health protection. The covalent organic framework (COF) based fluoresce probes are still of interest in developing the sensor-based detection systems for TNT. So, a novel fluorescence solid-state probe based on a melamine-based COF (SNW1)for TNT detection was established for the first time.

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Article Synopsis
  • * The nanocomposite exhibited electrocatalytic capabilities that allowed for the sensitive and selective detection of AGM using square wave anodic stripping voltammetry, with optimal conditions established through experimental design.
  • * The detection method demonstrated impressive sensitivity, with a limit of detection of 0.002 μmol/L, and was effective in analyzing AGM in biological samples such as urine, serum, and saliva.
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The design of electrochemical sensors is crucial considering important factors such as efficiency, low cost, biocompatibility, and availability. Manganese oxides are readily available, low-cost, and biocompatible materials, but their low conductivity limits their efficiency as sensors. Today, morphology engineering of manganese oxide has been one of the most common research topics, because manganese oxides' electrochemical properties are highly dependent on their morphologies.

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The study presented here describes the characterization and synthesis of a triazine-based covalent organic framework using different analytical procedures such as scanning electron microscopy, X-ray diffraction, energy dispersive X-ray spectroscopy, cyclic voltammetry, Brunauer-Emmett-Teller analysis, and electrochemical impedance spectroscopy. The synthesized COF was then utilized as an electrocatalytic modifier for the selective and sensitive determination of Pb and Cd at nanomolar levels via square wave anodic stripping voltammetry. A Plackett-Burman design was employed to screen operational parameters influencing the sensitivity of the electroanalytical method, followed by optimization of the significant variables using Box-Behnken design.

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