Processed Drug Classification and Temporal Analysis by Technical Chemometrics for Quality Controlling Using Spectroscopy of FT-IR and X-Ray Diffraction

• Main Authors: Andressa Cristina De Rossi, Vanderlei Aparecido De Lima
• Format: Article
• Language: English
• Published: Universidade Federal de Mato Grosso do Sul 2018-12-01
• Series: Orbital: The Electronic Journal of Chemistry
• Subjects: cluster; levothyroxine sodium; pca; quality control; topiramate
• Online Access: http://orbital.ufms.br/index.php/Chemistry/article/view/1138

<p class="orbitalabstract">The aim of the present study was to analyze samples of the industrialized drugs, topiramate and levothyroxine sodium by FT-IR and XRD for a period of five months. Cluster chemometrics and principal component analysis were used to plot the samples in this time series and to compare FT-IR and XRD techniques for drug classification. By means of the chemometric analyzes of the time series it was possible to separate the two drugs in different groups satisfactorily. The analysis of PCA showed great homogeneity between samples, explaining 99.8% of the variability of the data, confirming the integrity of the sample matrices during the period. The comparison between FT-IR and XRD techniques showed great efficiency for drug classification. The FT-IR technique explained 99.9% of the variability of the data from the sample set while the XRD technique explained 98.6%. Given the above, you can prove the integrity of topiramate medication and levothyroxine sodium over time by means of spectroscopic analyzes associated with chemometric analysis, as well as prove the efficiency of mid-infrared techniques, and diffraction X-ray coupled to chemometric analysis Quality control in the pharmaceutical segment.</p><p class="orbitalabstract"> </p><p class="orbitalabstract">DOI: <a href="http://dx.doi.org/10.17807/orbital.v10i7.1138">http://dx.doi.org/10.17807/orbital.v10i7.1138</a></p> <p><strong> </strong></p><br />