Related Experiment Video
Updated: Apr 30, 2026

06:50
O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
Published on: November 8, 2019
5.4K
[Technological parameter optimization method for washing of coarse bear gall powder extracts based on NIR
Summary
Near-infrared (NIR) spectra combined with principal component analysis (PCA) can predict the yield and purity of bear gall powder extracts. This method optimizes ethyl acetate usage for improved product quality.
Area of Science:
- Analytical Chemistry
- Process Chemistry
Context:
- Optimizing the extraction of active compounds from natural products is crucial for pharmaceutical applications.
- The washing process of coarse bear gall powder extracts requires precise control of ethyl acetate levels to maximize yield and purity.
Purpose:
- To develop a flexible and accurate method for optimizing the washing process of coarse bear gall powder extracts.
- To utilize Near-Infrared (NIR) spectroscopy combined with chemometrics for predicting product yield and purity.
Summary:
- Forty batches of coarse bear gall powder extracts were analyzed using NIR spectra.
- Principal Component Analysis (PCA) was employed, and the first 8 principal components were used with ethyl acetate amount to build predictive models for yield and purity.
- Models were validated using 30 calibration batches and 10 validation batches, showing high correlation coefficients and low root-mean-square errors for both yield and purity prediction.
Impact:
- Demonstrates the effectiveness of NIR spectra and chemometrics in predicting and optimizing natural product extraction processes.
- Enables flexible adjustment of ethyl acetate quantity based on raw material properties, leading to enhanced yield and purity of bear gall powder extracts.
- Provides a foundation for real-time process monitoring and control in the extraction of valuable compounds from natural sources.

