Wydział Chemii

Sylwester Mazurek

Kamil Pichlak

Roman Szostak

2021

Processes

9

8/1-8/8

10.3390/pr9010008

Naukowa

Angielski

Artykuł

A quantitative analysis of vitamins A and E in commercial ointments containing 0.044% and 0.8% (w/w) of active pharmaceutical ingredients, respectively, was performed using partial least squares models based on FT Raman spectra. Separate calibration systems were prepared to determine the amount of vitamin A in a petrolatum base ointment and to quantify vitamins A and E in a eucerin base one. Compositions of the laboratory-prepared and commercial samples were controlled through a principal component analysis. Relative standard errors of prediction were calculated to compare the predictive ability of the obtained regression models. For vitamin A determination, these errors were found to be in the 3.8–5.0% and 5.7–5.9% ranges for the calibration and validation data sets, respectively. In the case of vitamin E modeling, these errors amounted to 3.7% and 4.4%. On the basis of elaborated models, vitamins A and E were successfully quantified in two commercial products with recoveries in the 99–104% range. The obtained data indicate that the Raman technique allows for accurate analysis of the composition of semisolid formulations in their native state, including low dose preparations.

ointments, vitamin A, vitamin E, Raman spectroscopy, quantitative analysis, chemometrics, multivariate calibration

CC-BY

https://doi.org/10.3390/pr9010008

http://www.mdpi.com/journal/metals