الفهرس 
Chemometric Methods in Pharmaceutical Analysis
Multiple Linear Regression (MLR) MethodsOnly 14 pages are availabe for public view
 |  | from | 229 |  |  |
| | | from | 229 | | |
Abstract
The thesis consists of six chapters:Chapter I: deals with an introduction to chemometrics mainly multivariate methods involve:- Multiple linear regression (MLR)1. Classical Least Squares (CLS) or (K- matrix).2. Inverse Least Squares (ILS) or (P- matrix).- Factor- based methods1. Principle Component Regression (PCR).2. Partial Least Squares (PLS).Chapter II: deals with the simultaneous determination of phenylephrine hydrochloride and ketorolac tromethamine in their synthetic mixtures. Three multivariate calibration
methods; classical least squares (CLS), principle component regression (PCR), partial least squares (PLS) were applied to the zero-order UV spectra of synthetic mixtures of phenylephrine hydrochloride and ketorolac tromethamine. The number of calibration mixtures in the training set was ten according to the rule of five. The absorbance data matrix for this training set was obtained by recording the absorbance within the
wavelength range 244–274 nm at 2 nm intervals. The multivariate calibrations were computed by CLS, PCR, and PLS algorithms using the correlation for the absorbance data matrix and the corresponding concentration data matrix of the training set. A set of validation synthetic mixtures was prepared independently to validate the developed training set. These validation mixtures were analyzed by recording the absorbance within the same range of wavelength. The mean percentage recoveries, SD, and RSD are calculated and the results contributed to high accuracy and precision of the developed multivariate methods. The assay results obtained using chemometric methods were compared to those obtained by the HPLC method, and good agreement was observed, as there was no significant difference between the methods compared. The developed methods have the advantages of using zero-order spectra without the need for any other order. In addition to simplicity, there was no need for separation steps and no need for complicated calculations or tedious procedures used in validation. The developed procedures were less expensive by comparison with HPLC and do not require sophisticated instrumentation. The procedures have been applied successfully for the determination of both drugs in synthetic mixtures simulating the original dosage form.