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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Multivariate quantification of mebendazole polymorphs by terahertz time domain spectroscopy (THZ-TDS)

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da Silva, Vitor H. ; Vieira, Francisco S. ; Rohwedder, Jarbas J. R. ; Pasquini, Celio ; Pereira, Claudete F.
Total Authors: 5
Document type: Journal article
Source: ANALYST; v. 142, n. 9, p. 1519-1524, MAY 7 2017.
Web of Science Citations: 8

This work presents an analytical method based on terahertz-time domain spectroscopy (THz-TDS) and partial least squares (PLS) regression models to quantify mebendazole (MBZ) polymorphs (forms A, B and C) in pharmaceutical raw material. Mebendazole polymorphs A, B and C were quantified with RMSEP values of 1.5% w/w, 1.2% w/w and 1.8% w/w, respectively. The limits of detection (LOD) ranges obtained with the best PLS regression models were 2.7-4.3% w/w, 2.9-4.0% w/w and 2.4-3.1% w/w, for polymorphs A, B and C, respectively. This analytical performance is better than those for the methods described in the literature using near (NIR) and middle (MIR) infrared spectroscopies. The main advantage of THz spectroscopy is its ability to access directly information related to crystal lattices. According to the results, the developed method is a powerful technique for the quantification of MBZ polymorphs in raw material. This methodology can be implemented as a Process Analytical Technology (PAT) tool for quality control of pharmaceutical feedstock. (AU)

FAPESP's process: 11/13777-8 - Time domain terahertz spectroscopy: development of analytical methods, signal processing techniques, biochemical and fundamental studies
Grantee:Celio Pasquini
Support type: Research Projects - Thematic Grants
FAPESP's process: 08/57808-1 - National Institute of Advanced Analytical Science and Technology
Grantee:Celio Pasquini
Support type: Research Projects - Thematic Grants