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Dharmendra Damor, Bhoomi B. Patel, Karan Mittal and Rajshree C. Mashru*


Simple, accurate, sensitive and precise four multivariate calibration approaches, comprising principal component regression (PCR), partial least square (PLS), Classical least square (CLS) and Inverse least square (ILS) have been used for the determination of cilostazol and telmisartan simultaneously. This methods are useful in spectral investigation due to the simultaneous inclusion of many spectral wavelengths instead of the single wavelength used in derivative spectrophotometry, thus a inordinate enhancement in the precision and projecting abilities of these multivariate calibrations is identified. A calibration set was assembled for the mixture and the best model was used for the calculation of the concentration of the designated drug. The projected procedures were useful efficaciously in the determination of cilostazol and telmisartan in laboratory‐prepared mixtures. These chemometric calibrations for zero-order spectra were created by measuring the absorbance at full spectral points in the wavelength range 210–314 nm for a preparation set containing 5–25 μg/ml cilostazol, 5–25 μg/ml telmisartan in methanol. The chemometric calculations were accomplished by using the Unscrambler X 10.3 along with MATLAB 6. The results of four chemometric methods were statistically matched with each other. Mean recoveries (percent) and relative standard deviation of PCR, PLS, CLS, ILS methods were found to be 98.77/1.76, 100.59/1.53, 97.91/1.50, 97.53/1.73 for CLZ and 99.79/1.22, 100.22/0.58, 100.31/1.68 for TLM. All of the four chemometric methods established and validated in this study can be satisfactorily used for the quantitative investigation of cilostazol and telmisartan in prepared synthetic mixture.

Keywords: Cilostazol (CLZ), Telmisartan (TLM), Chemometrics, Spectrophotometry.

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