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Coherent anti-Stokes Raman Scattering (CARS) Microscopy Visualizes Pharmaceutical Tablets During Dissolution
Published on: July 4, 2014
Laser-induced breakdown spectroscopy-based investigation and classification of pharmaceutical tablets using
Ashwin Kumar Myakalwar1, S Sreedhar, Ishan Barman
1Advanced Centre of Research in High Energy Materials (ACRHEM), South Campus, University of Hyderabad, Prof C R Rao Road, Central University Campus PO, Gachibowli, Hyderabad, Andhra Pradesh 500046, India.
Laser-induced breakdown spectroscopy (LIBS) effectively analyzes pharmaceutical tablets. Advanced chemometric algorithms like SIMCA enable accurate classification, improving quality control in pharmaceutical manufacturing.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Pharmaceutical Analysis
Background:
- Pharmaceutical quality control requires rapid and accurate methods.
- Traditional methods can be time-consuming and lack on-site capabilities.
- Laser-Induced Breakdown Spectroscopy (LIBS) offers high chemical specificity and remote analysis.
Purpose of the Study:
- To evaluate the effectiveness of LIBS for pharmaceutical tablet analysis.
- To investigate LIBS feasibility for routine pharmaceutical tablet classification.
- To explore advanced chemometric methods for LIBS data analysis.
Main Methods:
- Utilized Laser-Induced Breakdown Spectroscopy (LIBS) for elemental analysis of pharmaceutical tablets.
- Applied ratiometric analysis of oxygen and nitrogen emission lines for initial classification attempts.
- Implemented Principal Component Analysis (PCA) and Soft Independent Modeling of Class Analogy (SIMCA) for multivariate data analysis.
Main Results:
- LIBS detected expected elements (C, H, N, O) and specific inorganic atoms in all tablets.
- Ratiometric analysis of O/N lines showed limitations in tablet classification.
- PCA and SIMCA algorithms successfully differentiated and classified pharmaceutical tablets.
- Supervised classification using SIMCA achieved excellent prospective accuracy.
Conclusions:
- LIBS is a powerful technique for probing pharmaceutical tablet composition.
- Chemometric algorithms (PCA, SIMCA) are essential for effective LIBS-based classification.
- LIBS coupled with SIMCA shows significant potential for process analytical technology in the pharmaceutical industry, enabling fast, on-line quality control.
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