Detection of counterfeit Durateston using Fourier transform infrared spectroscopy and partial least squares : discriminant analysis
I tiakina i:
| Kaituhi matua: | |
|---|---|
| Rā whakaputa: | 2017 |
| Ētahi atu kaituhi: | , , , |
| Hōputu: | Article |
| Reo: | eng |
| Puna: | Repositório Institucional da UnB |
| Download full: | http://repositorio.unb.br/handle/10482/30691 http://dx.doi.org/10.21577/0103-5053.20160293 |
Whakarāpopototanga: | Medicines containing anabolic steroids are one of the main targets for counterfeiting worldwide, including Brazil. The aim of this work was to propose a method for discriminating original and counterfeit Durateston® ampoules by Fourier transform infrared spectroscopy (FTIR) followed by chemometric analysis. Ninety-six ampoules of Durateston®, 49 originals and 47 counterfeits, were analyzed by gas chromatography with mass spectrometry (GC-MS) and by FTIR. Principal component analysis was applied to the infrared spectra to detected different clusters, corresponding to original samples and different types of counterfeits. A partial least squares - discriminant analysis method was proposed to discriminate original samples from those counterfeits that were indistinguishable from the originals in the infrared analysis. A training subset comprised of one-third of the available spectra was used to establish a suitable model that correctly discriminated all samples in the test subset, resulting in 0% of false positive or negative results and 100% of efficiency rate, sensitivity and specificity. In addition to the low cost of the infrared technique, the proposed method is fast, reliable and suitable to replace GC-MS methods used in Durateston® ampoule analyses to detect counterfeiting. |