A new promising electrochemiluminescence probe based on ruthenium nanobeads/silver nanoparticles/graphene oxide modified electrode for ultra-trace analysis of bisphenol A

Kamyabi, Mohammad Ali; Moharramnezhad, Mohsen

doi:10.1007/s10800-021-01578-6

Cited by 5 publications

(1 citation statement)

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“…Results as shown in Figure 12, it can be found that the addition of ions has no significant effect on ECL signal, while the compounds with phenolic hydroxyl or aniline structure are easily oxidized to form free radicals, resulting in energy transfer quenching effect. The quenching effect of these compounds on ECL signals has also been found in other luminescence systems [33][34][35]. Therefore, these interfering substances should not be ignored when they are contained in solution.…”

Section: +mentioning

confidence: 87%

Electrochemiluminescence Drug Sensor for Acetaminophen using Boron Nitride Quantum Dots as Ru(bpy)32+ Coreactant for Acetaminophen

Tong

Fang

et al. 2023

Journal of Nanomaterials

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Acetaminophen (AP) is a commonly used drug that has been detected in groundwater systems in many countries, and has received much attention from researchers in recent years due to its potential environmental impact. In this research, uniformly distributed boron nitride quantum dots (BNQDs) were prepared by a simple ultrasound-solvothermal method. Electrochemical luminescence (ECL) spectroscopy confirmed that BNQDs can act as an effective coreactant to create excellent efficiency in amplifying the ECL intensity of ruthenium-based ECL system. Based on the excited state of Ru bpy 3 2 + ∗ and the energy transfer quenching of AP oxidation products in the luminescent system, an AP concentration-quenched drug sensor was successfully constructed. For this sensor, a wide linear dynamic range and low detection limits (5.0 × 10−7−1.0 × 10−5 mol/L and 4.8 × 10−9 mol/L, respectively) were achieved. This ECL drug sensor has excellent performance in the accurate determination of AP content, relieving the stress of the previous AP detection process, and has good reproducibility and recovery in actual sample measurements.

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Section: +mentioning

confidence: 87%