2023
DOI: 10.1016/j.jhazmat.2022.130020
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Three-dimensional porous high boron-nitrogen-doped carbon for the ultrasensitive electrochemical detection of trace heavy metals in food samples

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Cited by 63 publications
(18 citation statements)
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“…The main electrochemical methods currently used for PQ detection are differential pulse voltammetry (DPV) [13], amperometry i-t curves (i-t curves) [14], and square wave voltammetry (SWV) [15]. In electrochemical sensors, the development of advanced materials capable of fast and sensitive capture of target molecules is at the core of electrochemical sensing devices [16].…”
Section: Introductionmentioning
confidence: 99%
“…The main electrochemical methods currently used for PQ detection are differential pulse voltammetry (DPV) [13], amperometry i-t curves (i-t curves) [14], and square wave voltammetry (SWV) [15]. In electrochemical sensors, the development of advanced materials capable of fast and sensitive capture of target molecules is at the core of electrochemical sensing devices [16].…”
Section: Introductionmentioning
confidence: 99%
“…32 The EIS data were fitted using an equivalent circuit in which R s is the solution resistance, and R CT is the electron transfer resistance. 33 The difficulty of charge transfer was determined from the arc diameters in the high-frequency region: R CT (GCE) 763 Ω > R CT (MoS 2 /GCE) 217 Ω > R CT (BHCs/GCE) 76 Ω > R CT (MoS 2 –BHCs/GCE) 71 Ω. Modification with MoS 2 and BHCs reduced the electron transfer resistance of the GCE.…”
Section: Resultsmentioning
confidence: 99%
“…Heavy metal trace detection is mainly carried out using spectroscopic techniques: atomic absorption spectroscopy [ 8 ], inductively coupled plasma mass spectroscopy [ 9 ], X-ray fluorescence, quartz crystal microbalance [ 10 ], and neutron activation analysis are the most commonly used. However, they suffer from several significant drawbacks, including tedious sample preparation, the need for expert knowledge, high operational costs, and lengthy analysis time (calibration, pre-concentration, preparation, sampling) [ 11 ], which make them unsuitable for real-time online and continuous monitoring applications.…”
Section: Introductionmentioning
confidence: 99%