Rapid and Sensitive Determination of Aminocaproic Acid Injection by Raman Spectroscopy Combined with Chemometric Models

Abstract

A quantitative approach for the determination of aminocaproic acid in commercial injections based on Raman spectroscopy and chemometrics has been developed. The Raman spectra of aminocaproic acid injections were analyzed by chemometric models including classical least squares (CLS), partial least squares (PLS), principal component regression (PCR), and stepwise multiple linear regression (SMLR). To compare the quantitative ability of the models, two key parameters, difference value and root mean square error, were calculated. The results indicated that the SMLR method was more efficient than the other methods. The difference value of the SMLR method was 90.5% and the root mean square error was 2.08. Raman determinations agreed with results obtained with a standard titration method (p < 0.05). The recovery was (99.7 ± 0.58)% and the repeatability was (99.2 ± 0.67)% by the SMLR method. These results show that the chemometric modeling of Raman spectra is a specific, rapid, and convenient alternative to quantify aminocaproic acid in injections.