[en] During galenic formulation development, homogeneity of distribution is a critical parameter to check since it may influence activity and safety of the drug. Raman hyperspectral imaging is a technique of choice for assessing the distributional homogeneity of compounds of interest. Indeed, the combination of both spectroscopic and spatial information provides a detailed knowledge of chemical composition and component distribution.
Actually, most authors assess homogeneity using parameters of the histogram of intensities (e.g. mean, skewness and kurtosis). However, this approach does not take into account spatial information and loses the main advantage of imaging. To overcome this limitation, we propose a new criterion: Distributional Homogeneity Index (DHI). DHI has been tested on simulated maps and formulation development samples. The distribution maps of the samples were obtained without validated calibration model since different formulations were under investigation. The results obtained showed a linear relationship between content uniformity values and DHI values of distribution maps. Therefore, DHI methodology appears to be a suitable tool for the analysis of homogeneity of distribution maps even without calibration during formulation development.
Research center :
Centre Interfacultaire de Recherche du Médicament - CIRM
Disciplines :
Pharmacy, pharmacology & toxicology
Author, co-author :
Sacre, Pierre-Yves ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Lebrun, Pierre ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Chavez, Pierre-François ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
De Bleye, Charlotte ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Netchacovitch, Lauranne ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Rozet, Eric ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Klinkenberg, Régis
Streel, Bruno
Hubert, Philippe ; Université de Liège - ULiège > Département de pharmacie > Chimie analytique
Ziemons, Eric ; Université de Liège - ULiège > Département de pharmacie > Département de pharmacie
Language :
English
Title :
A new criterion to assess distributional homogeneity in hyperspectral images of solid pharmaceutical dosage forms
Publication date :
2014
Journal title :
Analytica Chimica Acta
ISSN :
0003-2670
eISSN :
1873-4324
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
818
Pages :
7-14
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
Région wallonne : Direction générale opérationnelle de l'Economie, de l'Emploi et de la Recherche (DGO 6)
De Beer T.R.M., Bodson C., Dejaegher B., Walczak B., Vercruysse P., Burggraeve A., Lemos A., Delattre L., Vander Heyden Y., Remon J.P., Vervaet C., Baeyens W.R.G. Raman spectroscopy as a process analytical technology (PAT) tool for the in-line monitoring and understanding of a powder blending process. Journal of Pharmaceutical and Biomedical Analysis 2008, 48:772-779.
El-Hagrasy A.S., Drennen J.K. A process analytical technology approach to near-infrared process control of pharmaceutical powder blending. Part III: quantitative near-infrared calibration for prediction of blend homogeneity and characterization of powder mixing kinetics. Journal of Pharmaceutical Sciences 2006, 95:422-434.
De Beer T.R.M., Baeyens W.R.G., Ouyang J., Vervaet C., Remon J.P. Raman spectroscopy as a process analytical technology tool for the understanding and the quantitative in-line monitoring of the homogenization process of a pharmaceutical suspension. Analyst 2006, 131:1137-1144.
Gendrin C., Roggo Y., Collet C. Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review. Journal of Pharmaceutical and Biomedical Analysis 2008, 48:533-553.
Amigo J., Ravn C. Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging. European Journal of Pharmaceutical Sciences 2009, 37:76-82.
Piqueras S., Burger J., Tauler R., de Juan A. Relevant aspects of quantification and sample heterogeneity in hyperspectral image resolution. Chemometrics and Intelligent Laboratory Systems 2012, 117:169-182.
Alexandrino G.L., Poppi R.J. NIR imaging spectroscopy for quantification of constituents in polymers thin films loaded with paracetamol. Analytica Chimica Acta 2013, 765:37-44.
Chan K.L.A., Kazarian S.G., Vassou D., Gionis V., Chryssikos G.D. In situ high-throughput study of drug polymorphism under controlled temperature and humidity using FT-IR spectroscopic imaging. Vibrational Spectroscopy 2007, 43:221-226.
Rocha W.F.C., Sabin G.P., Março P.H., Poppi R.J. Quantitative analysis of piroxicam polymorphs pharmaceutical mixtures by hyperspectral imaging and chemometrics. Chemometrics and Intelligent Laboratory Systems 2011, 106:198-204.
Doub W.H., Adams W.P., Spencer J.A., Buhse L.F., Nelson M.P., Treado P.J. Raman chemical imaging for ingredient-specific particle size characterization of aqueous suspension nasal spray formulations: a progress report. Pharmaceutical Research 2007, 24:934-945.
Sacré P.-Y., Deconinck E., Saerens L., De Beer T., Courselle P., Vancauwenberghe R., Chiap P., Crommen J., De Beer J.O. Detection of counterfeit Viagra by Raman microspectroscopy imaging and multivariate analysis. Journal of Pharmaceutical and Biomedical Analysis 2011, 56:454-461.
Vajna B., Farkas A., Pataki H., Zsigmond Z., Igricz T., Marosi G. Testing the performance of pure spectrum resolution from Raman hyperspectral images of differently manufactured pharmaceutical tablets. Analytica Chimica Acta 2012, 712:45-55.
Furuyama N., Hasegawa S., Hamaura T., Yada S., Nakagami H., Yonemochi E., Terada K. Evaluation of solid dispersions on a molecular level by the Raman mapping technique. International Journal of Pharmaceutics 2008, 361:12-18.
Lyon R.C., Lester D.S., Lewis E.N., Lee E., Yu L.X., Jefferson E.H., Hussain A.S. Near-infrared spectral imaging for quality assurance of pharmaceutical products: analysis of tablets to assess powder blend homogeneity. AAPS PharmSciTech 2002, 3:1-17.
Gendrin C., Roggo Y., Spiegel C., Collet C. Monitoring galenical process development by near infrared chemical imaging: one case study. European Journal of Pharmaceutics and Biopharmaceutics 2008, 68:828-837.
Furukawa T., Sato H., Shinzawa H., Noda I., Ochiai S. Evaluation of homogeneity of binary blends of poly(3-hydroxybutyrate) and poly(l-lactic acid) studied by near infrared chemical imaging (NIRCI). Analytical Sciences 2007, 23:871-876.
Puchert T., Lochmann D., Menezes J.C., Reich G. A multivariate approach for the statistical evaluation of near-infrared chemical images using Symmetry Parameter Image Analysis (SPIA). European Journal of Pharmaceutics and Biopharmaceutics 2011, 78:117-124.
Rosas J.G., Blanco M. A criterion for assessing homogeneity distribution in hyperspectral images. Part 1: homogeneity index bases and blending processes. Journal of Pharmaceutical and Biomedical Analysis 2012, 70:680-690.
Rosas J.G., Blanco M. A criterion for assessing homogeneity distribution in hyperspectral images. Part 2: application of homogeneity indices to solid pharmaceutical dosage forms. Journal of Pharmaceutical and Biomedical Analysis 2012, 70:691-699.
Rosas J.G., Armenta S., Cruz J., Blanco M. A new approach to determine the homogeneity in hyperspectral imaging considering the particle size. Analytica Chimica Acta 2013, 787:173-180.
European Pharmacopoeia, 7th edition, European Directorate for the Quality of Medicines and Healthcare (EDQM), 2012, 4389-4391.
Eilers P.H.C. Parametric Time Warping. Analytical Chemistry 2003, 76:404-411.
Sabin G.P., de Souza A.M., Breitkreitz M.C., Poppi R.J. Desenvolvimento de um algoritmo para identificação e correção de spikes em espectroscopia Raman de imagem. Quimica Nova 2012, 35:612-615.
Amigo J.A., Ravn C. Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging. European Journal of Pharmaceutical Sciences 2009, 37:76-82.
Tauler R. Multivariate curve resolution applied to second order data. Chemometrics and Intelligent Laboratory Systems 1995, 30:133-146.
de Juan A., Tauler R. Chemometrics applied to unravel multicomponent processes and mixtures: revisiting latest trends in multivariate resolution. Analytica Chimica Acta 2003, 500:195-210.
Jaumot J., Gargallo R., de Juan A., Tauler R. A graphical user-friendly interface for MCR-ALS: a new tool for multivariate curve resolution in MATLAB. Chemometrics and Intelligent Laboratory Systems 2005, 76:101-110.
Windig W., Guilment J. Interactive self-modeling mixture analysis. Analytical Chemistry 1991, 63:1425-1432.
Massart D.L., Vandeginste B.G.M., Buydens L.M.C., De Jong S., Lewi P.J., Smeyers-verbeke J. Handbook of Chemometrics and Qualimetrics-Part A 1997, Elsevier Science, Amsterdam.
Hamad M.L., Ellison C.D., Khan M.A., Lyon R.C. Drug product characterization by macropixel analysis of chemical images. Journal of Pharmaceutical Sciences 2007, 96:3390-3401.
C. Ravn, Near-infrared Chemical Imaging in Formulation Development of Solid Dosage Forms Department of Pharmaceutics and Analytical Chemistry, Faculty of Pharmaceutical Sciences, University of Copenhagen Denmark (2009) (Industrial PhD thesis).