Development of a Near Infrared Spectroscopy method for the in-line quantitative bilastine drug determination during pharmaceutical powders blending.

Bilastine Chemometric Near Infrared Spectroscopy Process Analytical Technology (PAT) Quantitative analysis Spectra pre-treatment

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:
10 Sep 2021
Historique:
received: 26 02 2021
revised: 13 07 2021
accepted: 21 07 2021
pubmed: 1 8 2021
medline: 25 8 2021
entrez: 31 7 2021
Statut: ppublish

Résumé

The Food and Drug Administration (FDA)'s guidelines and the Process Analytical Technology (PAT) approach conceptualize the idea of real time monitoring of a process, with the primary objective of improvement of quality and also of time and resources saving. New instruments are needed to perform an efficient PAT process control and Near Infrared Spectroscopy (NIRS), thanks to its rapid and drastic development of last years, could be a very good choice, in virtue of its high versatility, speed of analysis, non-destructiveness and absence of sample chemical treatment. This work was aimed to develop a NIR analytical method for bilastine assay in powder mixtures for direct compression. In particular, the use of NIR instrumentation should allow to control the bilastine concentration and the whole blending process, assuring the achievement of a homogeneous blend. The commercial tablet formulation of bilastine was particularly suitable for this purpose, due to its simple composition (four excipients) and direct compression manufacturing process. Calibration and validation set were prepared according to a Placket-Burman experimental design and acquired with a miniaturized NIR in-line instrument (MicroNIR by Viavi Solution Inc.). Chemometric was applied to optimize information extraction from spectra, by subjecting them to a Standard Normal Variate (SNV) and a Savitzky-Golay second derivative pre-treatment. This spectra pre-treatment, combined with the most suitable wavelength interval (resulted between 1087 and 1217 nm), enabled to obtain a Partial Least Square (PLS) model with a good predictive ability. The selected model, tried on laboratory and production batches, provided in both cases good assay predictions. Results were confirmed by traditional HPLC (High Performance Liquid Chromatography) API (Active Pharmaceutical Ingredient) content uniformity test on the final product.

Identifiants

pubmed: 34332309
pii: S0731-7085(21)00388-5
doi: 10.1016/j.jpba.2021.114277
pii:
doi:

Substances chimiques

Benzimidazoles 0
Piperidines 0
Powders 0
Tablets 0
bilastine PA1123N395

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

114277

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors report no declarations of interest.

Auteurs

Diletta Biagi (D)

Menarini Manufacturing Logistic and Services s.r.l. (AMMLS), Via dei Sette Santi 1/3, 50131, Florence, Italy; Department of Chemistry, University of Florence, Via U. Schiff 6, 50019, Sesto Fiorentino, Florence, Italy. Electronic address: diletta.biagi@unifi.it.

Paolo Nencioni (P)

Menarini Manufacturing Logistic and Services s.r.l. (AMMLS), Via dei Sette Santi 1/3, 50131, Florence, Italy.

Maurizio Valleri (M)

Menarini Manufacturing Logistic and Services s.r.l. (AMMLS), Via dei Sette Santi 1/3, 50131, Florence, Italy.

Niccolò Calamassi (N)

Department of Pharmaceutical Sciences, University of Perugia, via del Liceo 1, 06123, Perugia, Italy.

Paola Mura (P)

Department of Chemistry, University of Florence, Via U. Schiff 6, 50019, Sesto Fiorentino, Florence, Italy.

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Classifications MeSH