Potentiality of PARAFAC approaches for simultaneous determination of N-acetylcysteine and acetaminophen based on the second-order data obtained from differential pulse voltammetry

Farahani, Khalil Zarnousheh; Benvidi, Ali; Rezaeinasab, Masoud; Abbasi, Saleheh; Abdollahi‐Alibeik, Mohammad; Rezaeipoor-Anari, Ali; Zarchi, Mohammad Ali Karimi; Abadi, Seyed Shahab Addin Darbandizadeh Mohammad

doi:10.1016/j.talanta.2018.08.092

Cited by 28 publications

(14 citation statements)

References 60 publications

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“…In comparison with CV, the electrochemical response provided by the differentialpulsed voltammetry technique is superior regarding the sensitivity, accuracy, and resolution for electrochemical sensing and electrochemical mechanism elucidation [36,37]. In AMX detection, DPV was tested under various operating conditions related to the step potential (SP), which ranged from 0.01 to 0.05 V while modulation amplitude (MA) ranged from 0.05 to 0.2 V. The shapes of DPVs are different when related to the operating conditions.…”

Section: Differential-pulsed Voltammetry (Dpv) and Square-wave Voltammetry (Swv)mentioning

confidence: 99%

CuBi2O4 Synthesis, Characterization, and Application in Sensitive Amperometric/Voltammetric Detection of Amoxicillin in Aqueous Solutions

et al. 2021

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CuBi2O4 synthesized by thermolysis of a new Bi(III)-Cu(II) oxalate coordination compound, namely Bi2Cu(C2O4)4·0.25H2O, was tested through its integration within carbon nanofiber paste electrode, namely CuBi/carbon nanofiber (CNF), for the electrochemical detection of amoxicillin (AMX) in the aqueous solution. Thermal analysis and IR spectroscopy were used to characterize a CuBi2O4 precursor to optimize the synthesis conditions. The copper bismuth oxide obtained after a heating treatment of the precursor at 700 °C/1 h was investigated by an X-ray diffraction and scanning electron microscopy. The electrochemical behavior of CuBi/CNF in comparison with CNF paste electrode showed the electrocatalytic activity of CuBi2O4 toward amoxicillin detection. Two potential detections, with one at the potential value of +0.540 V/saturated calomel electrode (SCE) and the other at the potential value of −1.000 V/SCE, were identified by cyclic voltammetry, which were exploited to develop the enhanced voltammetric and/or amperometric detection protocols. Better electroanalytical performance for AMX detection was achieved for CuBi/CNF using differential-pulsed and square-wave voltammetries than others reported in the literature. Very nice results obtained through anodic and cathodic currents recorded at +0.750 V/SCE and −1.000 V/SCE in the same time period using a pseudo multiple-pulsed amperometry technique showed the great potential of the CuBi/CNF paste electrode for practical applications in amoxicillin detection in aqueous solutions.

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Section: Differential-pulsed Voltammetry (Dpv) and Square-wave Voltammetry (Swv)mentioning

confidence: 99%

CuBi2O4 Synthesis, Characterization, and Application in Sensitive Amperometric/Voltammetric Detection of Amoxicillin in Aqueous Solutions

et al. 2021

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“…Peak shift in an electrochemical measurement may be due to the degradation of the reference electrode over time [32], the kinetics of heterogeneous reactions taking place at the surface of electrode, and the relation between such kinetics and the concentration of compounds in the bulk [33,34]. Once peak shift hinders the direct application of second-order data processing algorithms, the alignment of all voltammograms to the same reference position is an important stage which should be conducted before PARAFAC.…”

Section: Data Analysis: Algorithms and Proceduresmentioning

confidence: 99%

Three-dimensional voltammetry: Use of chronoamperometric E-t-i data to achieve second-order advantage

Lemos

Gonzalez-Rodriguez

2020

Analytica Chimica Acta

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This work studied the use of three-dimensional voltammetry, particularly potential-time-current (Et-i) data, on the development of electroanalytical methods. E-t-i data was obtained by taking chronoamperograms at potentials applied as pulses on a staircase waveform. By using this threeway kind of data and appropriate calibration algorithms, the possibility of achieving the secondorder advantage was evaluated in the determination of ferrocyanide in the presence of the uncalibrated interference hydroquinone as a model system. The determination of acetaminophen in urine samples, where ascorbic acid and uric acid play the major roles as interferents was also studied. Parallel factor analysis (PARAFAC) and multivariate curve resolution alternating leastsquares (MCR-ALS) were the algorithms employed in this work. Both algorithms successfully achieved the second-order advantage by correctly predicting the concentrations of the validation synthetic samples. Excellent predictions were obtained in the direct analysis of acetaminophenspiked urine samples by E-t-i data and MCR-ALS.

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“…8,30 To capitalize on the inherent advantages of voltammetry, black-box (i.e., physics-agnostic) classification protocols for labeling voltammograms have been reported, suggesting that automation can be leveraged to characterize electrolytes by identifying and incorporating features that are challenging or impossible to ascertain from qualitative inspection. 29,[31][32][33] While the prior literature shows promise, opportunities exist for further improvement. For example, many protocols identify compounds less accurately when the training and testing data are obtained under different electrolyte or experimental conditions, 31 potentially necessitating a separate training dataset for each condition tested.…”

Section: Introductionmentioning

confidence: 99%

Using Voltammetry Augmented with Physics-Based Modeling and Bayesian Hypothesis Testing to Estimate Electrolyte Composition

Fenton¹,

Brushett²

2021

Preprint

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Voltammetry is a foundational electrochemical technique that can qualitatively and quantitatively probe electroactive species in electrolytes and as such has been used in numerous fields of study. Recently, automation has been introduced into voltammetric analyses to extend their capabilities (e.g., Bayesian parameter estimation, compound identification via machine learning); however, opportunities exist to enable more versatile methods across a wider range of electrolyte and experimental conditions. Here, we present a protocol that uses experimental voltammetry, physics-driven models, binary hypothesis testing, and Bayesian inference to enable robust labeling of electroactive species in multicomponent electrolytes across multiple techniques. We first describe the development of this protocol, and we subsequently validate the methodology in a case study involving five N-functionalized phenothiazine derivatives. In this analysis, the protocol correctly labeled an electrolyte containing 10H-phenothiazine and 10-methylphenothiazine from both cyclic voltammograms and cyclic square wave voltammograms, demonstrating its ability to identify electroactive constituents of a multicomponent solution. Finally, we identify areas of further improvement (e.g., achieving greater detection accuracy) and future applications to potentially enhance in situ or operando diagnostic workflows.

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Potentiality of PARAFAC approaches for simultaneous determination of N-acetylcysteine and acetaminophen based on the second-order data obtained from differential pulse voltammetry

Cited by 28 publications

References 60 publications

CuBi2O4 Synthesis, Characterization, and Application in Sensitive Amperometric/Voltammetric Detection of Amoxicillin in Aqueous Solutions

CuBi2O4 Synthesis, Characterization, and Application in Sensitive Amperometric/Voltammetric Detection of Amoxicillin in Aqueous Solutions

Three-dimensional voltammetry: Use of chronoamperometric E-t-i data to achieve second-order advantage

Using Voltammetry Augmented with Physics-Based Modeling and Bayesian Hypothesis Testing to Estimate Electrolyte Composition

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