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Updated: Sep 27, 2025

Coherent anti-Stokes Raman Scattering CARS Microscopy Visualizes Pharmaceutical Tablets During Dissolution
Published on: July 4, 2014
Dissolution profiles prediction of sinomenine hydrochloride sustained-release tablets using Raman mapping technique
Qi Zeng1, Long Wang1, Sijun Wu1
1College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China; State key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, PR China.
Raman mapping effectively predicts sinomenine hydrochloride tablet dissolution profiles. The multi-point mode offers superior accuracy and precision, presenting a faster, cost-effective alternative to traditional dissolution testing.
Area of Science:
- Pharmaceutical Sciences
- Analytical Chemistry
- Spectroscopy
Background:
- Traditional dissolution testing for solid oral dosage forms is often complex, time-consuming, and expensive.
- Predictive modeling of drug release profiles is crucial for quality control and formulation development.
- Raman spectroscopy offers a non-destructive analytical technique with potential for in-line or at-line process monitoring.
Purpose of the Study:
- To evaluate the feasibility of using Raman mapping for predicting the dissolution profiles of sinomenine hydrochloride sustained-release tablets.
- To compare the predictive performance of different Raman mapping data acquisition modes (single point, average, multi-point) using partial least squares regression.
- To assess the accuracy and precision of Raman mapping in predicting both specific time-point dissolutions and dissolution profile parameters.
Main Methods:
- Preparation of 36 batches of sinomenine hydrochloride sustained-release tablets with induced variability using a D-optimal design.
- Acquisition of Raman mapping data for each tablet.
- Development of partial least squares regression models using single point, average, and multi-point Raman mapping data modes.
- Prediction and validation of percent dissolution at specific time points and parameters of an exponential dissolution model.
Main Results:
- The multi-point Raman mapping mode demonstrated superior accuracy and precision in predicting dissolution profiles compared to single point and average modes.
- Accurate prediction of both percentage dissolution at defined time points and key parameters of the dissolution model was achieved.
- The developed Raman mapping method showed high potential for reliable dissolution profile prediction.
Conclusions:
- Raman mapping, particularly using the multi-point mode, is a feasible and accurate method for predicting the dissolution profiles of sustained-release tablets.
- This approach offers significant advantages over traditional dissolution testing, including reduced operational complexity, time, and cost.
- The study highlights the potential for widespread application and popularization of Raman mapping in pharmaceutical quality control and development.
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