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Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DA
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Huanting ZHU1, 2, Jinhao ZOU2, Huaigu YANG2, Daobang TANG2, Xueming LIU1, 2, *, Xuping WANG2, *
Science and Technology of Food Industry | 2026, 47(17) : 377 - 385
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Science and Technology of Food Industry | 2026, 47(17): 377-385
• Analysis and Determination •
Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DA
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Huanting ZHU1, 2, Jinhao ZOU2, Huaigu YANG2, Daobang TANG2, Xueming LIU1, 2, *, Xuping WANG2, *
Affiliations
  • 1College of Food Science and Technology, Guangdong Ocean University, Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, Guangdong Province Engineering Laboratory for Marine Biological Products, Guangdong Provincial Engineering Technology Research Center of Seafood, Guangdong Provincial Engineering Technology Research Center of Prefabricated Seafood Processing and Quality Control, Zhanjiang 524088, China
  • 2Sericultural & Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Functional Foods, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Agricultural Products Processing, Guangzhou 510610, China
Published: 2026-09-01 doi: 10.13386/j.issn1002-0306.2025080084
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Different medicinal herbs play an important role in shaping the characteristic flavor of traditional herbal chicken soup. In this study, chicken soup prepared with Radix Astragali (HQ), Radix Codonopsis (DS), Fructus Lycii (GQ), and Fructus Jujubae (HZ) was used as the control (CK). Four model soups were established by individually omitting one of these herbs: -HQ, -DS, -GQ, and -HZ. The characteristic flavors and their sources were compared using intelligent sensory techniques, gas chromatography–mass spectrometry (GC–MS), free amino acid analysis, flavor nucleotide analysis, and orthogonal partial least squares-discriminant analysis (OPLS-DA). The results showed that the electronic nose and electronic tongue could effectively detect and distinguish differences in odor and taste among the five groups. The omission of herbs mainly led to a decrease in the response values of the hydrogen sulfide-sensitive sensor (W1W) and the umami sensor (NMS). Further analysis revealed that the omission of herbs led to a reduction in the total content of volatile flavor compounds. OPLS-DA and variable importance in projection (VIP) analysis identified ten volatile flavor compounds as the main contributors to the overall flavor profile, including 2,3-butanedione, 1-hexanol, dipentene, hexanal, 2-methylbutanal, and phytol. Compared to the other omission groups, the -HQ group showed the greatest distance from both these key compounds and the electronic nose sensor signals, indicating that Radix Astragali has the most significant impact on the overall flavor of the chicken soup. Additionally, the levels of key umami compounds (Glu and 5’-IMP) were reduced in the herb-omitted groups. In conclusion, the absence of any herb affects the characteristic flavor of the soup, with Radix Astragali contributing the most notably to its distinctive flavor profile.

medicinal chicken soup  /  intelligent sensory technology  /  GC-MS  /  characteristic flavor compounds  /  orthogonal partial least squares-discriminant analysis
朱焕婷, 邹金浩, 杨怀谷, 唐道邦, 刘学铭, 王旭苹. 基于智能感官技术结合OPLS-DA解析传统药膳鸡汤特征风味及其来源. 食品工业科技, 2026 , 47 (17) : 377 -385 . DOI: 10.13386/j.issn1002-0306.2025080084
Huanting ZHU, Jinhao ZOU, Huaigu YANG, Daobang TANG, Xueming LIU, Xuping WANG. Characterization and Source Identification of Characteristic Flavor Compounds in Chinese Herbal Chicken Soup Using Intelligent Sensory Technology Combined with OPLS-DA[J]. Science and Technology of Food Industry, 2026 , 47 (17) : 377 -385 . DOI: 10.13386/j.issn1002-0306.2025080084
Year 2026 volume 47 Issue 17
147
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doi: 10.13386/j.issn1002-0306.2025080084
  • Receive Date:2025-08-11
  • Online Date:2026-10-24
  • Published:2026-09-01
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  • Received:2025-08-11
Affiliations
    1College of Food Science and Technology, Guangdong Ocean University, Guangdong Provincial Key Laboratory of Aquatic Product Processing and Safety, Guangdong Province Engineering Laboratory for Marine Biological Products, Guangdong Provincial Engineering Technology Research Center of Seafood, Guangdong Provincial Engineering Technology Research Center of Prefabricated Seafood Processing and Quality Control, Zhanjiang 524088, China
    2Sericultural & Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Functional Foods, Ministry of Agriculture and Rural Affairs, Guangdong Key Laboratory of Agricultural Products Processing, Guangzhou 510610, 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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