Document Type: Research article
Department of Pharmaceutics, School of pharmacy, Shiraz university of medical sciences, Shiraz, Iran.
Department of Medicinal chemistry, School of pharmacy, Shiraz university of medical sciences, shiraz, Iran.
Department of Medicinal chemistry, School of pharmacy, Shiraz university of medical sciences, Shiraz, Iran.
Medicinal and natural products chemistry research center, shiraz university of medical sciences, Shiraz, Iran.
Iron is an essential element used as supplement in different dosage-forms. Different time and expenditure-consuming methods introduced for detection and determination of elemental ions such as atomic absorption. In this research, two different and routine methods containing ATR-IR and atomic absorption were applied to define the amount of iron in 198 samples containing different concentrations of commercial iron drops and syrups and the output data of the methods was transferred to chemometric model to compare the accuracy and robustness of the methods. By applying this mathematical model, in addition to the confirmation of ATR-IR (a time and energy-saving method) as a replacement of AAS to produce the same results, chemometrical model was used to evaluate the output data in a faster and easier method.
At first, ATR-IR spectra data converted to normal matrix by SNV preprocessing approach. Then, a relationship between iron concentrations achieved by AAS and ATR-IR data was established using PLS-LS-SVM. Consequently, model was able to predict ~99% of the samples with low error-values (root mean square-error of cross-validation equal to 0.98). Y-permutation test performed to confirm that the model was not assessed accidentally.
Although, chemometric methods for detection of some heavy metals have been reported in the literature, combination of PLS-LS-SVM with ATR-IR was not cited. In this study a fast and robust method for iron assay was suggested.
As a result, ATR-IR can be a suitable method in detection and qualification of iron-content in pharmaceutical dosage with less energy-consumption but similar accuracy.