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Optimization of Sophora japonica L. rice cake process and establishment of shelf life model
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Mei-Qing WEI, Gui-Ling HUANG, Fang YUAN, Sen-Yan YU, Zhen-Lan LU, Zhi-Cun WANG*
Journal of Food Safety & Quality | 2026, 17(6) : 156 - 166
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Journal of Food Safety & Quality | 2026, 17(6): 156-166
• Special Topic: Research on Optimization and Application of Food Processing Technology •
Optimization of Sophora japonica L. rice cake process and establishment of shelf life model
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Mei-Qing WEI, Gui-Ling HUANG, Fang YUAN, Sen-Yan YU, Zhen-Lan LU, Zhi-Cun WANG*
Affiliations
  • College of Agriculture and Biology, Guangxi Minzu Normal University, Chongzuo 532200, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20251127004
Outline
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Objective

To develop a Sophora japonica L. rice cake product using Guangxi-specific Sophora japonica L. as the raw material, optimize its production process, extend its shelf life and establish a corresponding shelf life prediction model.

Methods

Single-factor experiments combined with response surface methodology were employed to determine the optimal formulation. Subsequently, 2.5 g/kg calcium propionate was added as a preservative, and the products were vacuum-packaged and stored at 20 °C and 6 °C, respectively. Periodic measurements were conducted for indicators including pH, sensory score, acid value, moisture content and total viable count. A shelf life model was constructed based on zero-order reaction kinetics and the Arrhenius equation,and comprehensive quality evaluation was performed using the fuzzy weight method.

Results

The optimal formulation for Sophora japonica L. rice cake was determined as follows: Rice-to-flour ratio of 2.5:1 (m:m), Sophora japonica L. addition of 1.50%, sugar content of 15.0%, yeast dosage of 0.75% and fermentation time of 50 min. Under storage conditions of 20 °C and 6 °C, the prediction errors of the shelf life model were both below 10% except for the acid value, indicating high accuracy of the model.

Conclusion

This study successfully optimize the production process of Sophora japonica L. rice cake and establish a reliable shelf life prediction model, providing a theoretical basis for its practical production and storage.

Sophora japonica L. rice cake  /  process optimization  /  kinetic model  /  shelf life model
韦美晴, 黄贵灵, 袁芳, 余森艳, 卢珍兰, 王志存. 槐花米糕工艺优化及其货架期模型的建立. 食品安全质量检测学报, 2026 , 17 (6) : 156 -166 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251127004
Mei-Qing WEI, Gui-Ling HUANG, Fang YUAN, Sen-Yan YU, Zhen-Lan LU, Zhi-Cun WANG. Optimization of Sophora japonica L. rice cake process and establishment of shelf life model[J]. Journal of Food Safety & Quality, 2026 , 17 (6) : 156 -166 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20251127004
Year 2026 volume 17 Issue 6
12
2
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20251127004
  • Receive Date:2025-11-27
  • Online Date:2026-11-05
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  • Received:2025-11-27
Affiliations
    College of Agriculture and Biology, Guangxi Minzu Normal University, Chongzuo 532200, 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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