Differential Pulse Voltammetric Determination of Loperamide in a Pharmaceutical Dosaqe Form

Radi, Abd-Elgawad; Elmogy, T.

doi:10.3797/scipharm.aut-04-20

Cited by 5 publications

(2 citation statements)

References 4 publications

(2 reference statements)

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“…Gradient Boosting Algorithm was chosen to classify the data obtained by giving 60% training and 40% testing. The accuracy achieved was up to 76.6% [15]. In 2020, K 4 Fe (CN) 6 was detected by two electrochemical methods DPV and SQWV.…”

Section: Introductionmentioning

confidence: 95%

Machine Learning Based-Models for the Qualitative Classification of Potassium Ferrocyanide using Electrochemical Methods

Kayali

Shama

Aşır

et al. 2022

Preprint

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Iron is one of the trace elements that plays a vital role in the human immune system, especially against variants of SARS-CoV-2 virus. Electrochemical methods are convenient for the detection due to the simplicity of instrumentation available for different analysis. The square wave voltammetry (SQWV) and differential pulse voltammetry (DPV), are useful electrochemical voltametric techniques for diverse types of compounds such as heavy metals. The basic reason is the increased sensitivity by lowering the capacitive current. In this study, machine learning models were improved to classify concentrations of an analyte depending on the voltammograms obtained alone. SQWV and DPV were used to quantify the concentrations of ferrous ions (Fe+2) in potassium ferrocyanide (K4Fe(CN)6), validated by machine learning models for the data classifications. The greatest classifier algorithms models Back-propagation Neural Networks, Gaussian Naive Bayes, Logistic Regression, K-Nearest Neighbors Algorithm, K-Means clustering, and Random Forest were used as data classifiers, based on the data sets obtained from the measured chemical. Once competed to other algorithms models, used previously for the data classification, ours depend on the neural networks get greater specificity and sensitivity, maximum accuracy of 100% was obtained for each analyte in 25 seconds for the datasets.

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Section: Introductionmentioning

confidence: 95%

Machine Learning Based-Models for the Qualitative Classification of Potassium Ferrocyanide using Electrochemical Methods

Kayali

Shama

Aşır

et al. 2022

Preprint

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“…LOP is used to decrease the gut motility, thus, it is indicated to control symptoms of diarrhea, including travelers' diarrhea. [1][2][3] Several analytical techniques were reported to determine LOP including colorimetry, 4 spectrophotometry 4-8 gas chromatography, 9 conductometry, 10 electrochemical methods [11][12][13] and high-performance liquid chromatography. [14][15][16][17][18][19][20] Electrochemistry is considered one of the most important branches in chemistry that studies the phenomenon resulting from the electrical and chemical combination.…”

mentioning

confidence: 99%

Newly Developed Nano Sensitive Carbon Paste Electrode Modified with Silver Sulphadiazine and Zinc Oxide for Voltammetric Determination of Loperamide Hydrochloride in Pharmaceutical Formulation and in Human Plasma

Ibrahim

Kelani

Ramadan

et al. 2022

J. Electrochem. Soc.

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A simple electrochemical procedure was developed for the electrochemical determination of Loperamide hydrochloride (LOP). A square wave voltammetric method was applied to determine LOP in its pure form, pharmaceutical formulation, in presence of co-administered drugs omeprazole, trimebutine, and naproxen and in human plasma. In the applied method, a newly fabricated carbon paste electrode chemically modified with silver sulfadiazine and zinc oxide was used. Experimental parameters such as pH of Britton-Robinson buffer, scan rate and applied current potential of the electrode surface were optimized. The morphological structure of the newly fabricated electrode was illustrated using transmission electron microscopy. Using Britton–Robinson buffer of pH 8.00, LOP showed an irreversible anodic peak of 0.827 V. The manufactured sensor displayed high sensitivity and optimum charge/electrode kinetic transmission. Linear calibration curve was obtained between the peak current and the corresponding concentration of LOP over the range (14.00 × 10−12 − 1.00 × 10−4 M) with low detection limit of about (4.00 × 10−12 M) indicating good sensitivity. The proposed method was validated according to the ICH guidelines. The proposed sensor was also applied to determine LOP in human plasma after successfully validating the method according to the FDA bioanalytical methods guidelines. The greenness of the method was assessed using the Analytical Eco-Scale approach and the results reveal that the developed method is not only greener and uses non-hazardous chemicals than the previously reported HPLC methods for LOP determination in biological fluid but also can be used in the quality control laboratories for LOP determination in pharmaceutical formulation and in human plasma.

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Machine learning-based models for the qualitative classification of potassium ferrocyanide using electrochemical methods

Kayali¹,

Shama²,

Aşır³

et al. 2023

J Supercomput

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Differential Pulse Voltammetric Determination of Loperamide in a Pharmaceutical Dosaqe Form

Cited by 5 publications

References 4 publications

Machine Learning Based-Models for the Qualitative Classification of Potassium Ferrocyanide using Electrochemical Methods

Machine Learning Based-Models for the Qualitative Classification of Potassium Ferrocyanide using Electrochemical Methods

Newly Developed Nano Sensitive Carbon Paste Electrode Modified with Silver Sulphadiazine and Zinc Oxide for Voltammetric Determination of Loperamide Hydrochloride in Pharmaceutical Formulation and in Human Plasma

Machine learning-based models for the qualitative classification of potassium ferrocyanide using electrochemical methods

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