Portable and green solid contact potentiometric sensor for the rapid and direct assay of clozapine in post-mortem rat liver and dosage forms: An analytical approach to forensic and pharmaceutical samples

Wahba, M. E. K.; Ayman, Aya; Zeid, Abdallah M.; El-Shabrawy, Yasser; Draz, Mohammed E.

doi:10.1016/j.microc.2022.108364

Cited by 7 publications

(3 citation statements)

References 48 publications

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“…The lowest docking score value was observed for TOL − β-CD complex, indicating the best stability. 46,47 Moreover, the 3D docking interactions revealed that TOL forms the most stable inclusion complex with β-CD as it interacts through 3 Hydrogen bonds besides one H pi-bond. In contrast, it interacts with CM β-CD and HP-β-CD by one hydrogen and one H-Pi bond.…”

Section: Resultsmentioning

confidence: 99%

Green Assay of Tolmetin Sodium Using Solid Contact Potentiometric Sensor Doped with Ionophore and Supported with Docking Study: Application to Human Plasma and Pharmaceutical Formulations

Mahrous

Mabrouk

Habib

et al. 2023

J. Electrochem. Soc.

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Tolmetin sodium (TOL) is a non-steroidal anti-inflammatory drug used to treat arthritis. Potentiometric ion selective electrodes (ISEs) bypass sample pre-treatment, high-tech apparatus, and toxic chemicals. The current study aimed to develop and validate a potentiometric analyser for the direct assay of TOL in pharmaceutical dosage form and human plasma. We designed an experimental approach to determine the factors that affect the performance of the developed sensor. A solid contact glassy carbon electrode was utilized as a support for the developed sensor. The interaction of TOL with several ionophore was studied using molecular docking. The optimized sensor was fabricated using dioctyl phthalate as plasticizer, tetra dodecyl ammonium bromide as anion exchanger, and β cyclodextrin as ionophore. The sensor achieved -58.78 Nernstian response within 1.00‎×‎10-2 to 2.00‎×‎10-6 mol/L linear range,1.56 ‎×‎10-6 mol/L LOD, and fast response within 7 s. The greenness of the proposed method was assessed using the Analytical Eco-scale and the "Green Analytical Procedure Index" metric tools and compared with the reported methods and gained high scores. The proposed method has several advantages in encouraging quality control and clinical labs to routinely use the developed sensor in the assay of TOL in pharmaceutical dosage forms and human plasma.

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Section: Resultsmentioning

confidence: 99%

Green Assay of Tolmetin Sodium Using Solid Contact Potentiometric Sensor Doped with Ionophore and Supported with Docking Study: Application to Human Plasma and Pharmaceutical Formulations

Mahrous

Mabrouk

Habib

et al. 2023

J. Electrochem. Soc.

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“…These breath analyzers are often portable and could be used for early-stage screening. Microfluidics involves the manipulation of tiny amounts of fluid in microchannels (Wahba et al, 2023;Yang et al, 2022). Microfluidic devices are being explored for liver disease detection as they can analyze small blood samples and assess liver function markers efficiently.…”

Section: Sensors Used To Detect Liver Diseasesmentioning

confidence: 99%

Efficient Hybrid CNN Method to Classify the Liver Diseases

Modhugu

2023

JOWUA

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This study focuses on classifying liver diseases using dynamic CT scan images and deep learning techniques. The primary objective is to develop accurate and efficient models for distinguishing between different liver disease categories. Three deep learning models, ResNet50, ResNet18, and AlexNet, are employed for three-class classification, including Hepatitis/cirrhosis, Hepatitis/Fatty liver, and Hepatitis/Wilson's Disease. The dataset comprises dynamic CT scan images of the liver, each manually segmented to identify lesions. To enhance model performance, the data is pre-processed by resizing, normalization, and data augmentation. The dataset is split into training, validation, and test sets for model evaluation. The performance of each model is assessed using confusion matrices, accuracy, sensitivity, and specificity. Results show varying accuracies for different liver disease classes, indicating the strengths and limitations of the models. To overcome the limits of the three-class classifiers, a framework for the Efficient Hybrid CNN method to classify Liver diseases (EHCNNLD) is proposed, combining the predictions from the three models with weighted probabilities. The Proposed EHCNNLD method demonstrates improved accuracy and classification power, enhancing the overall performance for liver disease classification. The study highlights the potential of deep learning techniques in medical image analysis and clinical diagnosis. The findings provide valuable insights into developing robust and accurate models for liver disease classification, paving the way for medical research and patient care advancements.

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“…[9][10][11][12] Particularly, the notable achievements in the electrochemical sensing of BDZ drugs include the use of easily operative comprehensive electrochemical test strips for on-site detection of CZ in biomedical samples promoting its reliabilities for clinical analysis. 13,14 Despite the impressive success of electroanalytical platforms focused on CZ detection in biological samples, its electroanalysis in complex DFSA samples, in particular hard and soft drinks, has not been much explored yet. Hence, the quest for developing an inclusive electroanalytical platform for the rapid on-site detection and screening of CZ in hard and soft drink samples linked to DFSA crimes is still on.…”

Section: Introductionmentioning

confidence: 99%

Electroanalytical characterization of clozapine at the electrified liquid–liquid interface and its detection in soft and hard drinks

Balamurugan,

Stelmaszczyk,

Wietecha-Posłuszny

et al. 2024

Analyst

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Portable and green solid contact potentiometric sensor for the rapid and direct assay of clozapine in post-mortem rat liver and dosage forms: An analytical approach to forensic and pharmaceutical samples

Cited by 7 publications

References 48 publications

Green Assay of Tolmetin Sodium Using Solid Contact Potentiometric Sensor Doped with Ionophore and Supported with Docking Study: Application to Human Plasma and Pharmaceutical Formulations

Green Assay of Tolmetin Sodium Using Solid Contact Potentiometric Sensor Doped with Ionophore and Supported with Docking Study: Application to Human Plasma and Pharmaceutical Formulations

Efficient Hybrid CNN Method to Classify the Liver Diseases

Electroanalytical characterization of clozapine at the electrified liquid–liquid interface and its detection in soft and hard drinks

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