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Differences in chemical components and precise discrimination between Aurantii Fructus Immaturus and Aurantii Fructus based on maximum information entropy combined with total statistical moment-entropy weighted TOPSIS method
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Chinese Traditional and Herbal Drugs | 2026, 57(7) : 2740 - 2750
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Chinese Traditional and Herbal Drugs | 2026, 57(7): 2740-2750
Differences in chemical components and precise discrimination between Aurantii Fructus Immaturus and Aurantii Fructus based on maximum information entropy combined with total statistical moment-entropy weighted TOPSIS method
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LE Yi, ZHOU Shihuan, YU Zhiqin, YUAN Xiao, WU Shijie, YANG Jing, HE Fuyuan, ZHOU Jin
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doi: 10.7501/j.issn.0253-2670.2026.07.025
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Objective To achieve precise discrimination between Zhishi (Aurantii Fructus Immaturus, AFI) and Zhiqiao (Aurantii Fructus, AF), as well as to analyze samples from different geographical origins, using the maximum information entropy principle combined with total statistical moment analysis and entropy-weighted TOPSIS method, thereby providing a scientific basis for their rational clinical application. Methods The UPLC fingerprint conditions for 15 batches of AFI and 15 batches of AF were optimized based on the maximum information entropy principle. Total statistical moment analysis was employed to compare the two, combined with multi-component quantification and entropy-weighted TOPSIS for systematic evaluation, the key chemical components that distinguish the two were obtained, and comprehensive scores were calculated to classify AFI, AF, and samples from different origins. Results Under the maximum information entropy principle, the optimal UPLC fingerprint conditions for AFI and AF were determined at a detection wavelength of 245 nm. Total statistical moment parameters revealed significant differences in overall chemical composition between AFI and AF (P < 0.05), with the total chemical content of AFI being 2.26 times higher than that of AF. Entropy-weighted TOPSIS analysis ranked the contribution weights (Wj) of nine quantified components in descending order: neohesperidin > naringenin > hesperidin > eriocitrin > tangeretin > synephrine > narirutin > naringin > nobiletin. AFI samples generally scored higher than AF, with those from Ji’an (Jiangxi) ranking highest among AFI and those from Changde (Hunan) ranking highest among AF. Conclusion The established method effectively distinguishes AFI from AF with high specificity and demonstrates robust discriminative capability for samples of different geographical origins. Comprehensive scores showed statistically significant differences (P < 0.05), providing an objective basis for the precise application of these medicinal materials.
Aurantii Fructus Immaturus  /  Aurantii Fructus  /  UPLC fingerprint  /  maximum information entropy  /  total statistical moment  /  entropy-weighted TOPSIS  /  neohesperidin  /  naringenin  /  hesperidin  /  eriocitrin  /  tangeretin  /  synephrine  /  narirutin  /  naringin  /  nobiletin
LE Yi, ZHOU Shihuan, YU Zhiqin, YUAN Xiao, WU Shijie, YANG Jing, HE Fuyuan, ZHOU Jin. Differences in chemical components and precise discrimination between Aurantii Fructus Immaturus and Aurantii Fructus based on maximum information entropy combined with total statistical moment-entropy weighted TOPSIS method[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (7) : 2740 -2750 . DOI: 10.7501/j.issn.0253-2670.2026.07.025
Year 2026 volume 57 Issue 7
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doi: 10.7501/j.issn.0253-2670.2026.07.025
  • Receive Date:2025-12-03
  • Online Date:2026-09-09
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  • Received:2025-12-03
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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