Quantitative Determination of Clindamycin Phosphate in Gel Preparation Using PLSR Model

Quantitative determination of clindamycin by UV spectrophotometry is limited due to lack of UV chromophore of clindamycin structure. In this study, UV spectrophotometry employing partial least square regression (PLSR) model was developed with respect to high-performance liquid chromatography (HPLC) as the reference method for the quantitative determination of clindamycin phosphate in gel preparation. The successful PLSR model used UV spectral data in the region of ۱۹۰  ۴۰۰ nm without data preprocessing. The leave-one-out cross- validation was utilized for model construction. The latent factor ۲ was used in the final model with the R۲ model of ۰.۹۹۷۲, root mean square error of calibration (RMSEC) and root mean square error of cross-validation (RMSECV) of ۰.۰۰۴۴ and ۰.۰۰۴۸, respectively. Model ability was approved by quantitative determination of ۲۰ validation samples that were not contributed in the model building step. Accuracy of determination results expressed in terms of root mean square error of prediction (RMSEP), the relative standard error of prediction (RSEP%) and bias were ۰.۰۰۷۲, ۰.۰۴۴۷% and -۰.۰۰۲۵, respectively. This study demonstrated that PLSR assisted-UV spectrophotometry could be used as an alternative method for the quantitative determination of non-UV chromophore active pharmaceutical ingredients in the pharmaceutical dosage form.