Study on multi-dimensional dynamic changes and quality control of Aurantii Fructus during the stir-frying with bran
Lele Gao1, Liang Zhong1, Tingting Feng1
1NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.
Stir-frying Aurantii Fructus (AF) with bran improves its safety and enhances its health benefits by altering its physical and chemical properties. Fourier transform near-infrared spectroscopy (FT-NIRS) provides effective quality control for processed AF.
Area of Science:
- Food Science and Technology
- Traditional Chinese Medicine
- Spectroscopy
Background:
- Aurantii Fructus (AF) is a valuable medicine-food homology substance used in food and traditional Chinese medicine.
- Raw AF's irritating properties limit its direct use; stir-frying with bran improves its suitability for food applications.
- Understanding the processing mechanisms of AF is crucial for standardizing its production.
Purpose of the Study:
- To investigate the dynamic changes in physical, chemical, and biological parameters of AF during stir-frying with bran.
- To elucidate the underlying processing mechanisms of AF.
- To employ FT-NIRS for rapid, non-destructive quality control of processed AF.
Main Methods:
- Stir-frying Aurantii Fructus with bran.
- Analysis of multi-dimensional parameters (microstructure, color, moisture, volatile and non-volatile compounds).
- Fourier transform near-infrared spectroscopy (FT-NIRS) and Convolutional Neural Network (CNN) for quality control and prediction.
Main Results:
- AF transformed from dense to porous with altered color (reduced lightness, increased redness/yellowness).
- Decreased moisture and volatile compounds (e.g., d-limonene); increased non-volatile compounds (e.g., 5-hydroxymethylfurfural).
- Enhanced antioxidant, anti-inflammatory, and gastrointestinal motility-promoting activities; FT-NIRS effectively monitored processing endpoints.
Conclusions:
- The study elucidated the processing mechanisms of AF through multi-dimensional parameter analysis.
- FT-NIRS and CNN-based models provide a data-driven strategy for standardizing AF production.
- Processed AF demonstrates improved safety, efficacy, and market adaptability for functional foods.
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