SPECTROPHOTOMETRIC CO-ESTIMATION OF ATORVASTATIN AND EZETIMIBE IN A BINARY MIXTURE USING PRINCIPLE COMPONENT REGRESSION AND PARTIAL LEAST SQUARES REGRESSION MODELS TEMEL BİLEŞEN REGRESYONU VE KISMİ EN KÜÇÜK KARELER REGRESYONU MODELLERİ KULLANILARAK ATORVASTATİN VE EZETİMİBİN İKİLİ KARIŞIMLARDA EŞZAMANLI TAYİNİ


ERTEKİN ÖZKAN Z. C., DİNÇ E.

Ankara Universitesi Eczacilik Fakultesi Dergisi, cilt.49, sa.3, ss.827-837, 2025 (Scopus, TRDizin) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 49 Sayı: 3
  • Basım Tarihi: 2025
  • Doi Numarası: 10.33483/jfpau.1666211
  • Dergi Adı: Ankara Universitesi Eczacilik Fakultesi Dergisi
  • Derginin Tarandığı İndeksler: Scopus, Central & Eastern European Academic Source (CEEAS), TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.827-837
  • Anahtar Kelimeler: Atorvastatin, chemometrics, ezetimibe, PCR, PLS, spectrophotometry
  • Ankara Üniversitesi Adresli: Evet

Özet

Objective: Fixed-dose formulations, such as combination of atorvastatin (AT) and ezetimibe (EZ), present analytical challenges due to overlapping spectral features in UV-Vis spectroscopy. Although traditional chromatographic methods are effective in these cases, they are not cost-efficient, and the required instrumentation is not easily accessible. This study aims to develop a simpler, cost-effective spectrophotometry-based approach for the simultaneous quantification of AT and EZ in fixed-dose formulations. Material and Method: Principal component regression (PCR) and partial least squares (PLS) regression models were used in combination with UV-Vis spectroscopy. A calibration set of binary mixtures was prepared in the working range of 4–36 µg/ml for both drugs. PCR and PLS models were constructed using three latent variables. The developed methods were evaluated for accuracy, precision, and selectivity using laboratory-prepared samples. The applicability of the methods was demonstrated by analyzing commercial tablet samples. Result and Discussion: Both models achieved high recovery rates (98–102.3%) and low relative standard deviations (<2.0%), confirming their accuracy and precision. Standard addition studies confirmed the selectivity of the methods. Then, the proposed PCR and PLS methods successfully quantified AT and EZ in commercial film-coated tablets without extensive sample preparation, offering a simple, cost-effective, and efficient alternative to conventional techniques.