Analysis of sediment re-formation factors after ginseng beverage clarification based on XGBoost machine learning...

Area of Science:

• Food Science
• Biotechnology
• Analytical Chemistry

Background:

• Ginseng beverages are popular health drinks.
• Sediment formation is a common issue affecting ginseng beverage quality.
• Clarification methods aim to improve beverage clarity and stability.

Purpose of the Study:

• To investigate the factors contributing to sediment re-formation in clarified ginseng beverages.
• To compare the effectiveness of different clarification methods.
• To identify key chemical components responsible for sediment formation.

Main Methods:

• Four clarification methods were tested: ethanol precipitation, enzymatic treatment, clarifier clarification, and Hollow Fiber Column (HFC).
• Chemical composition analysis and partition coefficients were used to analyze sediment components.
• Extreme Gradient Boosting (XGBoost) model was employed to predict key factors.

Main Results:

• All clarification methods improved initial clarity, but sediment still formed upon storage.
• HFC method yielded the highest transmittance, least sediment, and superior antioxidant activity.
• Carbohydrates, saponins, proteins, and metal elements were identified as sediment contributors.
• XGBoost model identified protein, Rd, Na, K, and total saponins as the most influential components.

Conclusions:

• Clarification improves ginseng beverage quality, but sediment re-formation remains a challenge.
• The HFC method is a promising technique for clarifying ginseng beverages.
• Understanding the chemical basis of sediment formation is crucial for developing stable ginseng products.