Estimating Bioactive Components in Chrysanthemum Tea Using Hyperspectral Imaging
Author Information
Author(s): Wei Yunpeng, Hu Huiqiang, Yuan Minghua, Xu Huaxing, Mao Xiaobo, Zhao Yuping, Huang Luqiang
Primary Institution: Zhengzhou University
Hypothesis
This study aims to estimate the bioactive component contents of chrysanthemum tea using hyperspectral imaging and chemometrics.
Conclusion
The study developed a novel method for accurately estimating the bioactive components in chrysanthemum tea, achieving high prediction accuracy.
Supporting Evidence
- The proposed method achieved R2 scores of 0.9280 and 0.8882 for total flavonoids and chlorogenic acids prediction.
- Fused spectral–spatial features improved model accuracy significantly compared to classical methods.
- The study demonstrated the potential for rapid and nondestructive detection in food quality assessment.
Takeaway
Researchers found a new way to measure important nutrients in chrysanthemum tea using special cameras that see different colors of light.
Methodology
The study combined hyperspectral imaging with chemometrics to estimate the content of total flavonoids and chlorogenic acids in chrysanthemum tea.
Limitations
The study noted limitations in data collection and label information acquisition, which could affect model training and generalization ability.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website