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Bi-objective optimization of brewing process of Lonicera japonica and Siraitia grosvenorii tea using response surface methodology-NSGA-II algorithm
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Juan-Ping XUE, Xian-Fu MENG, Shao-Ying YANG, Yong-Zhi YAO*
Journal of Food Safety & Quality | 2026, 17(14) : 256 - 264
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Journal of Food Safety & Quality | 2026, 17(14): 256-264
• Food Analysis and Detection •
Bi-objective optimization of brewing process of Lonicera japonica and Siraitia grosvenorii tea using response surface methodology-NSGA-II algorithm
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Juan-Ping XUE, Xian-Fu MENG, Shao-Ying YANG, Yong-Zhi YAO*
Affiliations
  • Guangxi Eco-engineering Vocational and Technical College, Liuzhou 545004, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260131002
Outline
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Objective

To conduct bi-objective optimization for the sensory properties and chlorogenic acid content of Lonicera japonica and Siraitia grosvenorii tea, determine the optimal processing parameters.

Methods

Single-factor experiments and Box-Behnken response surface design were firstly applied to explore the extraction process of Lonicera japonica. On this basis, response surface methodology combined with non-dominated sorting genetic algorithm II (NSGA-II) algorithm was adopted to perform the bi-objective optimization of Lonicera japonica and Siraitia grosvenorii tea in terms of sensory quality and chlorogenic acid content. The 2 prediction models (Y1 and Y2)were established correspondingly. Furthermore, the chlorogenic acid content, total phenolic content and 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging rate of the tea infusion prepared under optimal conditions were determined and analyzed.

Results

The optimal processing conditions were determined as follows: Siraitia grosvenorii addition of 1.3 g/500 mL, brewing time of 22.3 min, brewing temperature of 88.1 ℃ and Lonicera japonica addition of 2.3 g/500 mL. Under the optimized conditions, the sensory score of the prepared tea reached 9.4, and the chlorogenic acid content was 162.6 μg/g. The predicted sensory score and chlorogenic acid content of the models were 9.72 and 159.25 μg/g, respectively. The relative errors of all models were less than 5%, which verified the reliable predictive validity of the established models. In the tea infusion prepared under optimal conditions, the chlorogenic acid content decreased slightly within the first 3 days and decreased significantly after the third day. In addition, the total phenolic content and radical scavenging rate showed a trend of first increasing and then decreasing with the prolongation of storage time.

Conclusion

This study realizes the synchronous improvement of active ingredient content and sensory quality of Lonicera japonica and Siraitia grosvenorii tea, which provides a systematic method for the process optimization and quality improvement of the tea product.

response surface methodology  /  non-dominated sorting genetic algorithm II algorithm  /  bi-objective optimization  /  Lonicera japonica and Siraitia grosvenorii tea
薛娟萍, 孟宪福, 杨绍英, 姚勇志. 响应面法-NSGA-II算法双目标优化金银花罗汉果茶泡制工艺. 食品安全质量检测学报, 2026 , 17 (14) : 256 -264 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260131002
Juan-Ping XUE, Xian-Fu MENG, Shao-Ying YANG, Yong-Zhi YAO. Bi-objective optimization of brewing process of Lonicera japonica and Siraitia grosvenorii tea using response surface methodology-NSGA-II algorithm[J]. Journal of Food Safety & Quality, 2026 , 17 (14) : 256 -264 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260131002
Year 2026 volume 17 Issue 14
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20260131002
  • Receive Date:2026-01-31
  • Online Date:2026-11-05
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  • Received:2026-01-31
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    Guangxi Eco-engineering Vocational and Technical College, Liuzhou 545004, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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