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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.)

NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets

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Author(s):
Franca, Leandro de Moura [1] ; Pimentel, Maria Fernanda [2] ; Simoes, Simone da Silva [3] ; Grangeiro, Jr., Severino [4] ; Prats-Montalban, Jose M. [5] ; Ferrer, Alberto [5]
Total Authors: 6
Affiliation:
[1] Univ Fed Pernambuco, Dept Quim Fundamental, Prof Moraes Rego 1235, Cidade Univ, BR-50670901 Recife, PE - Brazil
[2] Univ Fed Pernambuco, Dept Engn Quim, Av Artur de Sa S-N, Cidade Univ, BR-50740521 Recife, PE - Brazil
[3] Univ Estadual Paraiba, BR-58429500 Campina Grande, Paraiba - Brazil
[4] Lab Farmaceut Estado Pernambuco Miguel Arraes, Largo Dois Irmaos 1117, BR-52171010 Recife, PE - Brazil
[5] Univ Politecn Valencia, Camino Vera S-N, Edificio 7A, E-46022 Valencia - Spain
Total Affiliations: 5
Document type: Journal article
Source: EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS; v. 104, p. 180-188, JUL 2016.
Web of Science Citations: 5
Abstract

Pharmaceutical quality control is important for improving the effectiveness, purity and safety of drugs, as well as for the prevention or control of drug degradation. In the present work, near infrared hyperspectral images (HSI-NIR) of tablets with different expiration dates were employed to evaluate the degradation of captopril into captopril disulfide in different layers, on the top and on the bottom surfaces of the tablets. Multivariate curve resolution (MCR) models were used to extract the concentration distribution maps from the hyperspectral images. Afterward, multivariate image techniques were applied to the concentration distribution maps (CDMs), to extract features and build models relating the main characteristics of the images to their corresponding manufacturing dates. Resolution methods followed by extracting features were able to estimate the tablet manufacture date with a prediction error of 120 days. The model developed could be useful to evaluate whether a sample shows a degradation pattern consistent with the date of manufacturing or to detect abnormal behaviors in the natural degradation process of the sample. The information provided by the HIS-NIR is important for the development of the process (QbD), looking inside the formulation, revealing the behavior of the active pharmaceutical ingredient (API) during the product's shelf life. (C) 2016 Elsevier B.V. All rights reserved. (AU)

FAPESP's process: 08/57808-1 - National Institute of Advanced Analytical Science and Technology
Grantee:Celio Pasquini
Support type: Research Projects - Thematic Grants