研究目的
To investigate minor elemental species within tablets using LIBS hyperspectral imaging and multivariate analysis for the determination of both 2D and 3D spatial distributions of these species, along with quantification of tablet homogeneity.
研究成果
LIBS hyperspectral imaging was successfully utilized to investigate minor elemental species within tablets, providing detailed spatial distributions and quantification of homogeneity. The study demonstrated the potential of LIBS for in situ depth profiling and multivariate analysis in pharmaceutical analysis.
研究不足
The study focuses on minor elemental species within tablets, and the technique's destructive nature may limit its application for certain samples. The spatial resolution and depth profiling capabilities, while advanced, may not capture all nuances of tablet heterogeneity.
1：Experimental Design and Method Selection:
LIBS hyperspectral imaging was utilized to investigate minor elemental species within tablets. The methodology included collecting representative LIBS spectra on four tablets, performing principal component analysis (PCA) to discern chemical relationships amongst tablets, and applying 2D and 3D LIBS hyperspectral imaging to determine spatial distributions of Na, Mg, and K.
2：Sample Selection and Data Sources:
Four types of film-coated tablets (blue, green, mini, and adult) were analyzed. These tablets were of varying dosage strength, color, and size, formulated with different chemical compositions.
3：List of Experimental Equipment and Materials:
A J200 Tandem laser ablation (LA)/LIBS system (Applied Spectra) equipped with a Nd:YAG laser was used for LIBS analysis. The system included a Czerny–Turner spectrometer and a CCD detector.
4：Experimental Procedures and Operational Workflow:
LIBS spectra were collected at defined spatial locations about the sample. For 2D imaging, a 2 mm by 2 mm area was probed, collecting 256 LIBS spectra. For 3D imaging, the tablet was investigated from the surface to a depth of
5：80 μm at 58 μm intervals. Data Analysis Methods:
Univariate analysis was performed via integration of characteristic peaks for Na, Mg, and K. PCA was used for dimensionality reduction and classification of LIBS data.
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