Infrared hyperspectral imaging for qualitative analysis of pharmaceutical solid forms

被引:152
作者
Roggo, Y [1 ]
Edmond, A [1 ]
Chalus, P [1 ]
Ulmschneider, M [1 ]
机构
[1] F Hoffmann La Roche & Cie AG, Analyt Business Proc Support, CH-4070 Basel, Switzerland
关键词
infrared imaging; focal plane array detector; unfold PCA; solid pharmaceutical; dissolution properties; troubleshooting;
D O I
10.1016/j.aca.2004.12.037
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
A multi-spectral imaging spectrometer records simultaneously spectra and spatial information of samples. The infrared (IR) imaging system used was the Hyperion 3000 microscope (Bruker Optics) equipped with a focal plane array (FPA) detector. The detector allows creating a 64 x 64 pixels image. For each pixel, a complete spectrum is acquired, which means that an IR image is in fact a data cube. Two methods for qualitative analyses of the data cube were applied: peak height and unfold principal component analysis (PCA). These methods were performed on two different pharmaceutical problems: the first one was the analysis of a contamination on the surface of a pharmaceutical solid dosage form and the second one was a set of six images of intact tablets with different dissolution properties. On the first data set, IR imaging and chemometrics identified the contamination (a concentration of wet dye). The imaging method applied on the second set allowed the determination of the main cause of the dissolution problem, which was the surface distribution of magnesium stearate. This study shows that infrared imaging can be useful for qualitative analysis and troubleshooting of pharmaceutical solid forms. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:79 / 87
页数:9
相关论文
共 16 条
[1]   Application of multivariate curve resolution to the voltammetric study of the complexation of fulvic acids with cadmium(II) ion [J].
Antunes, MC ;
Simao, JE ;
Duarte, AC ;
Esteban, M ;
Tauler, R .
ANALYTICA CHIMICA ACTA, 2002, 459 (02) :291-304
[2]   Identification of chemical components in XPS spectra and images using multivariate statistical analysis methods [J].
Artyushkova, K ;
Fulghum, JE .
JOURNAL OF ELECTRON SPECTROSCOPY AND RELATED PHENOMENA, 2001, 121 (1-3) :33-55
[3]   STANDARD NORMAL VARIATE TRANSFORMATION AND DE-TRENDING OF NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA [J].
BARNES, RJ ;
DHANOA, MS ;
LISTER, SJ .
APPLIED SPECTROSCOPY, 1989, 43 (05) :772-777
[4]   InGaAsNIR focal plane arrays for imaging and DWDM applications [J].
Barton, J ;
Cannata, R ;
Petronio, S .
INFRARED DETECTORS AND FOCAL PLANE ARRAYS VII, 2002, 4721 :37-47
[5]  
BRIANCO AD, INTRO SPECTRAL IMAGI
[6]   Minimization of optical non-linearities in Fourier transform-infrared microspectroscopic imaging [J].
Budevska, BO .
VIBRATIONAL SPECTROSCOPY, 2000, 24 (01) :37-45
[7]   Applications of attenuated total reflection infrared spectroscopic imaging to pharmaceutical formulations [J].
Chan, KLA ;
Hammond, SV ;
Kazarian, SG .
ANALYTICAL CHEMISTRY, 2003, 75 (09) :2140-2146
[8]  
*CHEM IM SOFTW OLN, 2004, SPECTR DIM US MAN IS
[9]   Near-infrared spectroscopy and imaging for the monitoring of powder blend homogeneity [J].
El-Hagrasy, AS ;
Morris, HR ;
D'Amico, F ;
Lodder, RA ;
Drennen, JK .
JOURNAL OF PHARMACEUTICAL SCIENCES, 2001, 90 (09) :1298-1307
[10]  
FARAONE L, 1998, HGCDTE INFRARED DETE, P721