Simple and rapid spectrophotometric method has been developed and validated for the determination of paroxetine (PRX) in tablets. The proposed method was based on nucleophilic substitution reaction of PRX with 1,2-naphthoquinone-4-sulphonate (NQS) in an alkaline medium to form an orange-colored product of maximum absorption peak (lambda(max)) at 488 nm. The stoichiometry and kinetics of the reaction were studied, and the reaction mechanism was postulated. Under the optimized reaction conditions, Beer's law correlating the absorbance (A) with PRX concentration (C) was obeyed in the range of 1-8 mug mL(-1). The regression equation for the calibration data was: A = 0.0031 + 0.1609 C, with good correlation coefficients (0.9992). The molar absorptivity (epsilon) was 5.9 x 10(5) L mol(-1) 1 cm(-1). The limits of detection and quantitation were 0.3 and 0.8 mug mL(-1), respectively. The precision of the method was satisfactory; the values of relative standard deviations did not exceed 2%. The proposed method was successfully applied to the determination of PRX in its pharmaceutical tablets with good accuracy and precisions; the label claim percentage was 97.17 +/- 1.06 %. The results obtained by the proposed method were comparable with those obtained by the official method.
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http://dx.doi.org/10.1155/2009/237601 | DOI Listing |
Comput Biol Med
January 2025
Emerging Technologies Research Lab (ETRL), College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia; Department of Computer Science, College of Computer Science and Information Systems, Najran University, Najran, 61441, Saudi Arabia. Electronic address:
- Brain tumors (BT), both benign and malignant, pose a substantial impact on human health and need precise and early detection for successful treatment. Analysing magnetic resonance imaging (MRI) image is a common method for BT diagnosis and segmentation, yet misdiagnoses yield effective medical responses, impacting patient survival rates. Recent technological advancements have popularized deep learning-based medical image analysis, leveraging transfer learning to reuse pre-trained models for various applications.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Pharmacy and Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea; Department of Pharmaceutical Medicine and Regulatory Science, Yonsei University, Incheon, Republic of Korea; Graduate Program of Industrial Pharmaceutical Science, Yonsei University, Incheon, Republic of Korea; Department of Integrative Biotechnology, Yonsei University, Incheon, Republic of Korea. Electronic address:
Background: Erlotinib is a potent first-generation epidermal growth factor receptor tyrosine kinase inhibitor. Due to its proximity to the upper limit of tolerability, dose adjustments are often necessary to manage potential adverse reactions resulting from its pharmacokinetic (PK) variability.
Methods: Population PK studies of erlotinib were identified using PubMed databases.
Comput Biol Med
January 2025
School of Computer Science, Chungbuk National University, Cheongju 28644, Republic of Korea. Electronic address:
The fusion index is a critical metric for quantitatively assessing the transformation of in vitro muscle cells into myotubes in the biological and medical fields. Traditional methods for calculating this index manually involve the labor-intensive counting of numerous muscle cell nuclei in images, which necessitates determining whether each nucleus is located inside or outside the myotubes, leading to significant inter-observer variation. To address these challenges, this study proposes a three-stage process that integrates the strengths of pattern recognition and deep-learning to automatically calculate the fusion index.
View Article and Find Full Text PDFLipids Health Dis
January 2025
Department of Urology, Qilu Hospital of Shandong University, 107 Wenhuaxi Road Jinan, Shandong, 250012, People's Republic of China.
Background: An association exists between obesity and reduced testosterone levels in males. The propose of this research is to reveal the correlation between 15 indices linked to obesity and lipid levels with the concentration of serum testosterone, and incidence of testosterone deficiency (TD) among adult American men.
Methods: The study utilized information gathered from the National Health and Nutrition Examination Survey (NHANES) carried out from 2011 to 2016.
Pilot Feasibility Stud
January 2025
School of Medicine, University of Limerick, Limerick, Ireland.
Background: Stroke has devastating consequences for survivors. Hypertension is the most important modifiable risk factor, and its management largely takes place in primary care. However, most stroke-based research does not occur in this setting.
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