Identification and quantification techniques of polymorphic forms - A review.

Identification LOD LOQ Pharmacopeia Polymorphs Quantification Solid-state techniques

Journal

Journal of pharmaceutical and biomedical analysis
ISSN: 1873-264X
Titre abrégé: J Pharm Biomed Anal
Pays: England
ID NLM: 8309336

Informations de publication

Date de publication:
15 Feb 2024
Historique:
received: 23 10 2023
revised: 13 02 2024
accepted: 14 02 2024
medline: 2 3 2024
pubmed: 2 3 2024
entrez: 1 3 2024
Statut: aheadofprint

Résumé

In the pharmaceutical industry, the unexpected appearance of crystalline forms could impact the therapeutic efficacy of an Active Pharmaceutical Ingredient (API). For quality control, a thorough qualitative and quantitative monitoring of pharmaceutical solid forms is essential to ensure the detection and the quantification of crystalline forms, wither different or with the same chemical composition (polymorphs) at a low detection level. The purpose of this paper was to review and highlight the importance of choosing adequate solid-state techniques for detection and quantification APIs that present polymorphism - based on limits of detection (LOD) and quantification (LOQ), pharmacopeias specifications, international guidelines and studies reported in the literature. To this study, the powder X-ray diffraction (PXRD), differential scanning calorimetry (DSC), Infrared and Raman spectroscopies and solid-state nuclear magnetic resonance (NMR) were the solid-state techniques analyzed. Additionally, the Argentine, Brazilian, British, European, International, Japanese, Mexican and the United States of America pharmacopeias were reviewed. Based on the analysis performed, the advantages and disadvantages of these techniques, as well as the LOD and LOQ values of APIs were reported. In comparison to these solid-state techniques, reference material used for identification analyses should be previously identified with the corresponding polymorph. Without this previous procedure, the patterns, the spectra, and DSC curves of the reference material can only be used to confirm the mixture of solid forms, not being able to specify which polymorphs are contained in the sample. A major advantage of PXRD is the use of the calculated diffraction patterns obtained from the Crystallographic Information Frameworks (CIFs) files which could be used as a reference pattern without any other information, assistance technique, or physical standards. Regarding the quantification aspect, different pharmacopeias suggest various methods such as the PXRD combining with Rietveld method, which can be used to obtain lower LOD values for minority phases in the mixture of different substances without the need for a calibration curve. Raman spectroscopy can detect polymorphs in small particles and solid-state NMR spectroscopy is a powerful technique for quantification not only crystalline but also crystalline-amorphous mixtures. Finally, this review intends to be a useful tool to control, with efficiency and accuracy, the polymorphism of APIs in pharmaceutical compounds.

Identifiants

pubmed: 38428367
pii: S0731-7085(24)00078-5
doi: 10.1016/j.jpba.2024.116038
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

116038

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Julian Ticona Chambi (J)

Pós-Graduação em Engenharia e Ciência de Materiais, Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brasil.

Cinira Fandaruff (C)

Pós-Graduação em Engenharia e Ciência de Materiais, Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brasil; Laboratório de Micro e Nanotecnologia, Instituto de Tecnologia em Fármacos /Farmanguinhos (FIOCRUZ), Rio de Janeiro, Brasil.

Silvia Lucia Cuffini (SL)

Pós-Graduação em Engenharia e Ciência de Materiais, Instituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brasil. Electronic address: scuffini@unifesp.br.

Classifications MeSH