Targeted Prediction and Comprehensive Study of Stirred-Type Yogurt with Mayang Citrus Peel Powder Fortification
Zekui Ou1, Ting Zhang2,3, Jiali Ye4
1College of Life Science, Hengyang Normal University, Hengyang 421000, China.
Foods (Basel, Switzerland)
|May 4, 2026
Summary
Mayang citrus peel powder (MCPP) enhances yogurt's antioxidant and flavor properties. Machine learning models accurately predicted these changes, with the Lasso model showing high accuracy in analyzing MCPP's impact on yogurt quality.
Area of Science:
- Food Science and Technology
- Nutritional Biochemistry
- Data Science in Food Analysis
Background:
- Yogurt is a popular fermented dairy product with significant nutritional value.
- Exploring natural additives like Mayang citrus peel powder (MCPP) can enhance yogurt's functional properties.
- Machine learning offers advanced tools for predicting and understanding food ingredient interactions.
Purpose of the Study:
- To investigate the effects of varying MCPP concentrations on the physicochemical, textural, antioxidant, and flavor profiles of stirred yogurt.
- To apply machine learning models for predicting these changes and comprehensively studying MCPP's impact.
- To determine the optimal MCPP concentration for improved yogurt quality.
Main Methods:
- Stirred yogurt was prepared with different concentrations of MCPP (0%, 0.1%, 0.5%, 1%).
- Physicochemical properties (pH, acidity, color, WHC, syneresis), texture, viable LAB count, polyphenol bioaccessibility, and antioxidant activity were analyzed.
- Six machine learning models, including Lasso, were employed to predict MCPP's effects.
- Sensory evaluation was conducted for overall quality assessment.
Main Results:
- MCPP addition decreased pH and lightness but increased titratable acidity, syneresis, and antioxidant activity in a dose-dependent manner.
- Optimal MCPP concentrations (0.1% and 0.5%) maintained yogurt texture similar to the control, while 1% enhanced stability.
- MCPP significantly increased flavor volatiles and polyphenol bioaccessibility, with the 1% MCPP yogurt scoring highest in sensory evaluation.
- The Lasso machine learning model demonstrated high accuracy (R² = 0.9265) in predicting MCPP's effects on yogurt properties.
Conclusions:
- Mayang citrus peel powder is a promising natural additive for improving yogurt's physicochemical, antioxidant, and sensory attributes.
- Machine learning provides a powerful framework for predicting and optimizing the effects of food additives like MCPP.
- The study highlights the potential of MCPP as a functional ingredient to enhance the overall quality and health benefits of stirred yogurt.
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