Application of principal component regression to the determination of Captopril by differential pulse polarography with no prior removal of dissolved oxygen

As shown in this paper, multivariate calibration in general and principal component regression (PCR) in particular allow the determination of Captopril by differential pulse polarography (DPP) in the presence of oxygen despite the overlap between their polarographic bands. Electrochemical parameters (pulse amplitude, pulse delay and drop time) are optimized from response surfaces using PCR to determine the relationship between the variables to be optimized and the relative square error of prediction (RSEP), which was adopted as the parameter to be minimized. The proposed method is quite fast and inexpensive as a result of the decreased analysis times and sparing use of the inert gas. It was applied to the determination of Captopril in synthetic samples and a commercially available pharmaceutical preparation, with relative errors and confidence intervals < 2.5% and 2.0%, respectively. It should be noted that the sample can be analysed directly following dissolution in water without the need to remove the excipients. (C) 1998 Elsevier Science B.V. All rights reserved.