Simultaneous Spectrophotometric Determination of Dexketoprofen Trometamol and Thiocolchicoside by Using Principal Component Regression Multivariate Calibration Model in Combined Pharmaceutical Formulation

Objective: The combination of the non-steroidal anti-inflammatory drug dexketoprofen trometamol (DXT) and the centrally acting muscle relaxant thiocolchicoside (TH) is used for symptomatic relief in various conditions, with the aim of alleviating associated symptoms. The study involves the development, validation, and application of the chemometrics-based spectrophotometric method. Methods: An integral aspect of the investigation is the strategic application of experimental design techniques for calibration and validation mixtures to facilitate the assessment of factor effects within complex matrices. In this study, a factorial design was used to prepare calibration (25 samples) and validation (8 samples) sets comprising mixtures of DXT and TH within their linear ranges (2.5-25 μg/mL for DXT and 2-16 μg/mL for TH). Results: Spectra of the acquired mixtures and samples were recorded at wavelengths between 220nm and 460 nm at Δλ = 1 nm intervals. Using regression models based on the principal component regression algorithm, the results obtained showed satisfactory performance, with a recovery rate of ≤98.54% for DXT and ≤98.88% for TH. Conclusion: These models offer the potential for accurate identification and quantification of DXT and TH in pharmaceutical preparations

Simultaneous Spectrophotometric Determination of Dexketoprofen Trometamol and Thiocolchicoside by Using Principal Component Regression Multivariate Calibration Model in Combined Pharmaceutical Formulation

Objective: The combination of the non-steroidal anti-inflammatory drug dexketoprofen trometamol (DXT) and the centrally acting muscle relaxant thiocolchicoside (TH) is used for symptomatic relief in various conditions, with the aim of alleviating associated symptoms. The study involves the development, validation, and application of the chemometrics-based spectrophotometric method. Methods: An integral aspect of the investigation is the strategic application of experimental design techniques for calibration and validation mixtures to facilitate the assessment of factor effects within complex matrices. In this study, a factorial design was used to prepare calibration (25 samples) and validation (8 samples) sets comprising mixtures of DXT and TH within their linear ranges (2.5-25 μg/mL for DXT and 2-16 μg/mL for TH). Results: Spectra of the acquired mixtures and samples were recorded at wavelengths between 220nm and 460 nm at Δλ = 1 nm intervals. Using regression models based on the principal component regression algorithm, the results obtained showed satisfactory performance, with a recovery rate of ≤98.54% for DXT and ≤98.88% for TH. Conclusion: These models offer the potential for accurate identification and quantification of DXT and TH in pharmaceutical preparations

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