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Optimization and validation of detection method for low-content total anthraquinones in complex matrix health wine
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Hao SHI1, *, Qiong-Li MAO1, Xian-Zhi LI1, 2, Xiao-Tong XIONG1, Feng YANG1, Yan ZHU1, Ling YAN1, Yang LIU1, Qiang LI1, 2, Qiang YANG1, 2
Journal of Food Safety & Quality | 2026, 17(15) : 249 - 256
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Journal of Food Safety & Quality | 2026, 17(15): 249-256
• Food Analysis and Detection •
Optimization and validation of detection method for low-content total anthraquinones in complex matrix health wine
Full
Hao SHI1, *, Qiong-Li MAO1, Xian-Zhi LI1, 2, Xiao-Tong XIONG1, Feng YANG1, Yan ZHU1, Ling YAN1, Yang LIU1, Qiang LI1, 2, Qiang YANG1, 2
Affiliations
  • 1.Jing Brand Co., Ltd., Huangshi 435100, China
  • 2.Hubei Key Laboratory of Quality and Safety of Traditional Chinese Medicine Health Food, Huangshi 435100, China
doi: 10.19812/j.cnki.jfsq11-5956/ts.20260519004
Outline
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Objective

To establish an accurate, sensitive and anti-interferential method for the determination of low-content total anthraquinones in health wine with complex matrix.

Methods

Based on the spectrophotometry method specified in 2020 Edition of the technical guiding principles for inspection and evaluation of physicochemical and hygienic indicators of health food, the sample pretreatment was optimized by adjusting sample weight, performing full-volume extraction, reducing the constant volume and adopting centrifugal purification to minimize matrix interference and enhance detection sensitivity. The optimized method was verified using the high performance liquid chromatography method under the item of Polygoni multiflori Radix in the 2025 edition of the Chinese pharmacopoeia as the reference method, and the consistency of the results was evaluated by Bland-Altman analysis.

Results

The optimized method exhibited good linearity in the range of 0–0.0162 mg/mL with a determination coefficient of 0.99998.The limit of detection was 0.009 mg/100 g, and the limit of quantitation was 0.026 mg/100 g. The average spiked recovery at 3 concentration levels was 98.94%, with a relative standard deviation of 1.58%. The 10 batches of samples were determined by the optimized spectrophotometry and the high performance liquid chromatography reference method. The Bland-Altman consistency analysis indicated that the detection results of the 2 methods exhibited consistent trends.

Conclusion

The method is simple, sensitive, robust against matrix interference and accurate. It is suitable for the rapid determination and quality control of low-content total anthraquinones in health wine with complex matrix.

total anthraquinones  /  health wine  /  spectrophotometry  /  method optimization  /  Polygoni multiflori Radix
石豪, 毛琼丽, 李先芝, 熊晓通, 杨峰, 朱艳, 严玲, 刘洋, 李强, 杨强. 复杂基质保健酒中低含量总蒽醌的检测方法优化及验证. 食品安全质量检测学报, 2026 , 17 (15) : 249 -256 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260519004
Hao SHI, Qiong-Li MAO, Xian-Zhi LI, Xiao-Tong XIONG, Feng YANG, Yan ZHU, Ling YAN, Yang LIU, Qiang LI, Qiang YANG. Optimization and validation of detection method for low-content total anthraquinones in complex matrix health wine[J]. Journal of Food Safety & Quality, 2026 , 17 (15) : 249 -256 . DOI: 10.19812/j.cnki.jfsq11-5956/ts.20260519004
Year 2026 volume 17 Issue 15
8
1
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doi: 10.19812/j.cnki.jfsq11-5956/ts.20260519004
  • Receive Date:2026-05-19
  • Online Date:2026-11-05
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  • Received:2026-05-19
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    1.Jing Brand Co., Ltd., Huangshi 435100, China
    2.Hubei Key Laboratory of Quality and Safety of Traditional Chinese Medicine Health Food, Huangshi 435100, 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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