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

Vitor H. Da Silva, Francisco S. Vieira, Jarbas J.R. Rohwedder, Celio Pasquini, Claudete F. Pereira

Research output: Contribution to journalArticleScientificpeer-review

26 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1519-1524
JournalAnalyst
Volume142
Issue number9
DOIs
Publication statusPublished - 20 Mar 2017
MoE publication typeA1 Journal article-refereed

Fingerprint

Dive into the research topics of 'Multivariate quantification of mebendazole polymorphs by terahertz time domain spectroscopy (THZ-TDS)'. Together they form a unique fingerprint.

Cite this