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Issue 9, 2017
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Multivariate quantification of mebendazole polymorphs by terahertz time domain spectroscopy (THZ-TDS)

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Abstract

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.

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

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Publication details

The article was received on 26 Nov 2016, accepted on 19 Mar 2017 and first published on 20 Mar 2017


Article type: Paper
DOI: 10.1039/C6AN02540D
Citation: Analyst, 2017,142, 1519-1524
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    Multivariate quantification of mebendazole polymorphs by terahertz time domain spectroscopy (THZ-TDS)

    V. H. da Silva, F. S. Vieira, J. J. R. Rohwedder, C. Pasquini and C. F. Pereira, Analyst, 2017, 142, 1519
    DOI: 10.1039/C6AN02540D

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