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Determination of valsartan and pitavastatin using synchronous spectrofluorimetry and augmented least squares chemometric models: A comparative study with greenness and blueness assessment.
Almalki, Atiah H; Abduljabbar, Maram H; Alzhrani, Rami M; Alosaimi, Manal E; Serag, Ahmed.
Afiliación
  • Almalki AH; Department of Pharmaceutical Chemistry, College of Pharmacy, Taif University, Taif, Saudi Arabia.
  • Abduljabbar MH; Addiction and Neuroscience Research Unit, Health Science Campus, Taif University, Taif, Saudi Arabia.
  • Alzhrani RM; Department of Pharmacology and Toxicology, College of Pharmacy, Taif University, Taif, Saudi Arabia.
  • Alosaimi ME; Department of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, Taif, Saudi Arabia.
  • Serag A; Department of Basic Sciences, College of Medicine, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Luminescence ; 39(6): e4803, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38880967
ABSTRACT
Hypertension and hyperlipidemia are two common conditions that require effective management to reduce the risk of cardiovascular diseases. Among the medications commonly used for the treatment of these conditions, valsartan and pitavastatin have shown significant efficacy in lowering blood pressure and cholesterol levels, respectively. In this study, synchronous spectrofluorimetry coupled to chemometric analysis tools, specifically concentration residual augmented classical least squares (CRACLS) and spectral residual augmented classical least squares (SRACLS), was employed for the determination of valsartan and pitavastatin simultaneously. The developed models exhibited excellent predictive performance with relative root mean square error of prediction (RRMSEP) of 2.253 and 2.1381 for valsartan and pitavastatin, respectively. Hence, these models were successfully applied to the analysis of synthetic samples and commercial formulations as well as plasma samples with high accuracy and precision. Besides, the greenness and blueness profiles of the determined samples were also evaluated to assess their environmental impact and analytical practicability. The results demonstrated excellent greenness and blueness scores with AGREE score of 0.7 and BAGI score of 75 posing the proposed method as reliable and sensitive approach for the determination of valsartan and pitavastatin with potential applications in pharmaceutical quality control, bioanalytical studies, and therapeutic drug monitoring.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Quinolinas / Espectrometría de Fluorescencia / Valsartán Idioma: En Revista: Luminescence Asunto de la revista: BIOFISICA / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Quinolinas / Espectrometría de Fluorescencia / Valsartán Idioma: En Revista: Luminescence Asunto de la revista: BIOFISICA / BIOQUIMICA Año: 2024 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Reino Unido