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Characterization and Discrimination of Characteristic Flavor Compounds in Three Types of Cascara Tea by GC-IMS Combined with HS-SPME-GC-MS and Chemometrics
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Congyan MENG1, Jianwei LI1, Jie WU1, Haochun FENG2, Weixiang CHEN2, Zhilin LI3, Juan XU1, Ying HOU1, *
Science and Technology of Food Industry | 2026, 47(8) : 347 - 358
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Science and Technology of Food Industry | 2026, 47(8): 347-358
• Analysis and Determination •
Characterization and Discrimination of Characteristic Flavor Compounds in Three Types of Cascara Tea by GC-IMS Combined with HS-SPME-GC-MS and Chemometrics
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Congyan MENG1, Jianwei LI1, Jie WU1, Haochun FENG2, Weixiang CHEN2, Zhilin LI3, Juan XU1, Ying HOU1, *
Affiliations
  • 1College of Materials and Chemical Engineering, Southwest Forestry University, Kunming 650224, China
  • 2Yunnan Jiahui Detection Technology Co., Ltd., Kunming 650220, China
  • 3Yunnan Coffee Processing Plant Co., Ltd., Kunming 650217, China
Published: 2026-04-15 doi: 10.13386/j.issn1002-0306.2025080186
Outline
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To investigate the characteristic flavor profiles of cascara tea produced via different initial processing methods, the volatile compounds of three primary-processed samples were analyzed using gas chromatography–ion mobility spectrometry (GC-IMS) and headspace solid phase microextraction coupled with gas chromatography–mass spectrometry (HS-SPME-GC-MS). The relative odor activity value (ROAV), in combination with chemometric analyses, was employed to evaluate differences in flavor quality among the samples. The results showed that a total of 104 volatile organic compounds (VOCs) were identified in the three Cascara Tea samples using GC-IMS, mainly including alcohols, ketones, esters, and aldehydes. Using HS-SPME-GC-MS, a total of 55 volatile organic compounds (VOCs) were identified. Specifically, 45 VOCs were detected in the dry processing sample (CX), 48 in the honey processing sample (FY), and 48 in the wet processing sample (GT). Ketones and aldehydes were the predominant aroma compounds, followed by alcohols and esters. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) revealed that the three Cascara Tea samples produced by different primary processing methods exhibited distinct differences in their compositions and concentrations of volatile compounds. The flavor profile of the CX sample was primarily associated with methyl propanoate, 2-butanone, 2,3-dihydro-3,5-dihydroxy-6-methyl-4H-pyran-4-one and 2,4-dihydroxy-2,5-dimethyl-3(2H)-furan-3-one. In contrast, the FY sample showed strong correlations with compounds such as (E)-2-decenal, butyl propanoate, furfural and 5-(acetoxymethyl)-2-furaldehyde. Meanwhile, GT sample was most strongly correlated with hexyl acetate, 2-octanone, geranyl acetone and dodecanoic acid. Based on the variable importance in projection (VIP) values from the PLS-DA model and the relative odor activity value (ROAV), seven key aroma markers were identified: (E)-2-decenal, 1-hexanol, 3-methylbutanal, butyl acetate, ethyl heptanoate, 2-furfurylthiol and 2,4-dihydroxy-2,5-dimethyl-3(2H)-furan-3-one. Aroma profile analysis indicated that the aroma characteristics of cascara tea varied among different primary processing methods. The GT sample was characterized by more pronounced acidic, spicy, nutty, and roasted notes, whereas the FY sample displayed a distinctive floral aroma. The CX sample, on the other hand, exhibited stronger nutty and roasted characteristics. This study provides a scientific reference for raw material selection and evaluation and optimization of the flavor quality of cascara tea during primary processing.

cascara tea  /  gas chromatography-ion mobility spectrometry (GC-IMS)  /  headspace solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS)  /  volatile organic compounds (VOCs)
孟从燕, 李建伟, 吴杰, 冯浩春, 陈伟祥, 李治林, 徐娟, 侯英. GC-IMS联合HS-SPME-GC-MS及化学计量学对3种咖啡果皮茶特征风味物质的表征与鉴别. 食品工业科技, 2026 , 47 (8) : 347 -358 . DOI: 10.13386/j.issn1002-0306.2025080186
Congyan MENG, Jianwei LI, Jie WU, Haochun FENG, Weixiang CHEN, Zhilin LI, Juan XU, Ying HOU. Characterization and Discrimination of Characteristic Flavor Compounds in Three Types of Cascara Tea by GC-IMS Combined with HS-SPME-GC-MS and Chemometrics[J]. Science and Technology of Food Industry, 2026 , 47 (8) : 347 -358 . DOI: 10.13386/j.issn1002-0306.2025080186
Year 2026 volume 47 Issue 8
162
74
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doi: 10.13386/j.issn1002-0306.2025080186
  • Receive Date:2025-08-18
  • Online Date:2026-10-24
  • Published:2026-04-15
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  • Received:2025-08-18
Affiliations
    1College of Materials and Chemical Engineering, Southwest Forestry University, Kunming 650224, China
    2Yunnan Jiahui Detection Technology Co., Ltd., Kunming 650220, China
    3Yunnan Coffee Processing Plant Co., Ltd., Kunming 650217, 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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