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Chemical Pattern Recognition and Color-Chromaticity Correlation Analysis for Quality Control of Stir-Fried Perillae

Liangying Li¹, Xiaobin Deng¹, Pengbo Wang¹

¹School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

Molecules (Basel, Switzerland)

|June 12, 2026

Summary

This study established quality control methods for Perillae Fructus (PF) and stir-fried PF (SFPF) using chemical fingerprinting and color analysis. It identified key compounds and their correlation with color, aiding in processing and quality monitoring.

Keywords:

Perilla Fructus chemical pattern recognition correlation analysis fingerprint quality evaluation

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Published on: September 2, 2020

Area of Science:

Phytochemistry
Traditional Chinese Medicine
Analytical Chemistry

Background:

Perillae Fructus (PF) and stir-fried Perillae Fructus (SFPF) are widely used for cough and asthma.
Established quality control methods for PF and SFPF are lacking, hindering consistent clinical application.

Purpose of the Study:

To develop and validate robust quality control methods for PF and SFPF.
To investigate the relationship between chemical composition and color changes during processing.
To identify discriminant markers for differentiating PF and SFPF.

Main Methods:

Optimization of processing techniques using OVAT and Box-Behnken design.
Development of chromatographic fingerprints combined with chemical pattern recognition.
Application of image processing for chromaticity analysis and heatmap generation.
Quantitative analysis of multi-components and discriminant markers.

Main Results:

Four characteristic components (rosmarinic acid, 5-hydroxymethylfurfural, caffeic acid, luteolin) were identified as discriminant markers.
Correlation between seven components and chromaticity parameters (L*, a*, b*) was established.
Rosmarinic acid and caffeic acid positively correlated with L*, while negatively correlating with b*; 5-hydroxymethylfurfural showed a negative correlation with b*.

Conclusions:

The study provides a theoretical foundation for determining processing endpoints for SFPF.
The developed methods enable rapid online quality monitoring of SFPF.
This research enhances the quality control and standardization of traditional herbal medicines.