CoFe2O4 nanoparticles modified carbon paste electrode for simultaneous detection of oxycodone and codeine in human plasma and urine

Afkhami, Abbas; Gomar, Fatemeh; Madrakian, Tayyebeh

doi:10.1016/j.snb.2016.04.067

Cited by 40 publications

(18 citation statements)

References 32 publications

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“…Traditionally, botanical identification of honey is carried out by microscopic inspection (Anklam, 1998;Feas et al, 2010). However, the method involves limitations in terms of sample preparation, time consumption and the need for expertise in pollen identification.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, metal oxide nanomaterials exhibit unique physical and chemical properties due to their size and high density at the corner or edge surface sites. Metal oxides are used for both their redox and acid/base properties in the context of absorption and catalysis (Karim-Nezhad et al, 2016;Afghani et al, 2016;Tavakolian et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Voltammetric sensor for electrochemical determination of the floral origin of honey based on a zinc oxide nanoparticle modified carbon paste electrode

Tiwari

Tudu

Bandyopadhyay

et al. 2018

J. Sens. Sens. Syst.

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Abstract. A new methodology based on cyclic voltammetry using a chemically modified electrode has been developed for the discrimination of the floral origin of honey. This method involves an electronic tongue with an electrochemical sensor made from a carbon paste (CPs) electrode where zinc oxide (ZnO) nanoparticles are used as an electroactive binder material. The bare CPs electrode is evaluated for comparison. The electrochemical response of the modified electrode in 50 samples of five different floral types of honey has been analysed by the cyclic voltammetric technique. The voltammograms of each floral variety of honey reflect the redox properties of the ZnO nanoparticles present inside the carbon paste matrix and are strongly influenced by the nectar source of honey. Thus, each type of honey provides a characteristic signal which is evaluated by using principal component analysis (PCA) and an artificial neural network (ANN). The result of a PCA score plot of the transient responses obtained from the modified carbon paste electrode clearly shows discrimination among the different floral types of honey. The ANN model for floral classification of honey shows more than 90 % accuracy. These results indicate that the ZnO nanoparticles modified carbon paste (ZnO Nps modified CPs) electrode can be a useful electrode for discrimination of honey samples from different floral origins.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Voltammetric sensor for electrochemical determination of the floral origin of honey based on a zinc oxide nanoparticle modified carbon paste electrode

Tiwari

Tudu

Bandyopadhyay

et al. 2018

J. Sens. Sens. Syst.

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show abstract

“…They have also been used to measure opioid concentrations. 12 − 17 However, only a few studies on electrochemical detection of oxycodone have been published, 12 and to our knowledge, there are currently no reported studies on the electrochemical behavior of oxycodone together with its main metabolites.…”

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confidence: 99%

Electrochemical Detection of Oxycodone and Its Main Metabolites with Nafion-Coated Single-Walled Carbon Nanotube Electrodes

et al. 2020

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Oxycodone is a strong opioid frequently used as an analgesic. Although proven efficacious in the management of moderate to severe acute pain and cancer pain, use of oxycodone imposes a risk of adverse effects such as addiction, overdose, and death. Fast and accurate determination of oxycodone blood concentration would enable personalized dosing and monitoring of the analgesic as well as quick diagnostics of possible overdose in emergency care. However, in addition to the parent drug, several metabolites are always present in the blood after a dose of oxycodone, and to date, there is no electrochemical data available on any of these metabolites. In this paper, a single-walled carbon nanotube (SWCNT) electrode and a Nafion-coated SWCNT electrode were used, for the first time, to study the electrochemical behavior of oxycodone and its two main metabolites, noroxycodone and oxymorphone. Both electrode types could selectively detect oxycodone in the presence of noroxycodone and oxymorphone. However, we have previously shown that addition of a Nafion coating on top of the SWCNT electrode is essential for direct measurements in complex biological matrices. Thus, the Nafion/SWCNT electrode was further characterized and used for measuring clinically relevant concentrations of oxycodone in buffer solution. The limit of detection for oxycodone with the Nafion/SWCNT sensor was 85 nM, and the linear range was 0.5–10 μM in buffer solution. This study shows that the fabricated Nafion/SWCNT sensor has potential to be applied in clinical concentration measurements.

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“…[1,5] Therefore a procedure that allows for the rapid and accurate determination of thebaine and codeine is applicable in drug testing and forensic laboratories. There can be found various electroanalytical methodologies in the literature for the determination of thebaine or codeine, [1,[4][5][6][7][8][9][10][11][12] but most of the efforts for their simultaneous determination have been made using chromatographic techniques, [2,3,[13][14][15][16] and just a few electroanalytical reports can be found in this manner. [17] Electrochemical techniques, especially voltammetric methods, are fast, sensitive, selective, cost-effective, and can be readily miniaturized compared to the chromatographic techniques for simultaneous determinations.…”

Section: Introductionmentioning

confidence: 99%

Derivative Linear Sweep Voltammetry and Discrete Wavelet Transform for the Simultaneous Determination of Codeine and Thebaine by Artificial Neural Networks

2021

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The main problem that limits the application of Linear Sweep Voltammetry (LSV) in simultaneous determinations is the presence of background interference, which affects the accurate multicomponent determinations due to the overlapping of the voltammetric signals. This study represents the chemometrics processing of a series of the first-derivative LSVs, recorded on a glassy carbon electrode modified with Multi-Walled Carbon Nanotubes (MWCNTs) and Poly L-methionine, using Discrete Wavelet Transform (DWT) to compress the resulting data and feedforward back-propagation Artificial neural networks (ANNs) for the simultaneous determination of codeine and thebaine, as two opium alkaloids. Linear univariate calibration curves using first-derivative voltammograms were obtained in the ranges 2-1000 μM for codeine (at E p = 814 mV) and 5-500 μM for thebaine (at E p = 741 mV), respectively. Besides, the excellent regression parameters for the comparison graphs of ANNs and satisfactory recoveries in real serum samples in the ranges 98-102 % for codeine and 90-107 % for thebaine indicate the applicability of the proposed method for routine simultaneous analyses.

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CoFe2O4 nanoparticles modified carbon paste electrode for simultaneous detection of oxycodone and codeine in human plasma and urine

Cited by 40 publications

References 32 publications

Voltammetric sensor for electrochemical determination of the floral origin of honey based on a zinc oxide nanoparticle modified carbon paste electrode

Voltammetric sensor for electrochemical determination of the floral origin of honey based on a zinc oxide nanoparticle modified carbon paste electrode

Electrochemical Detection of Oxycodone and Its Main Metabolites with Nafion-Coated Single-Walled Carbon Nanotube Electrodes

Derivative Linear Sweep Voltammetry and Discrete Wavelet Transform for the Simultaneous Determination of Codeine and Thebaine by Artificial Neural Networks

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