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Widely Targeted Metabolomics Analysis of Effects of Different Honey Treatment Processing Methods on Non-volatile Compounds in Yunnan Arabica Coffee
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Haohao YU1, 2, Xingfei FU1, 2, Xiaofei BI1, 2, Zhongxian LI1, Wenjiang DONG3, Guiping LI1, 2, Yanan LI1, 2, Faguang HU1, 2, *
Science and Technology of Food Industry | 2026, 47(3) : 1 - 11
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Science and Technology of Food Industry | 2026, 47(3): 1-11
• Papers Invited by Guest Editors •
Widely Targeted Metabolomics Analysis of Effects of Different Honey Treatment Processing Methods on Non-volatile Compounds in Yunnan Arabica Coffee
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Haohao YU1, 2, Xingfei FU1, 2, Xiaofei BI1, 2, Zhongxian LI1, Wenjiang DONG3, Guiping LI1, 2, Yanan LI1, 2, Faguang HU1, 2, *
Affiliations
  • 1Tropical and Subtropical Cash Crops Institute, Yunnan Academy of Agricultural Sciences, Baoshan 678000, China
  • 2Yunnan Key Laboratory of Coffee, Baoshan 678000, China
  • 3Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning 571533, China
Published: 2026-02-01 doi: 10.13386/j.issn1002-0306.2025020063
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To investigate the metabolic differences in non-volatile compounds across honey processing methods, UPLC-MS/MS-based widely targeted metabolomics was employed to analyze green coffee beans systematically under different mucilage removal rates (CH, 100%; WH, approximately 80%; YH, 40%~50%; RH, 20%~25%; BH, 0%). The results revealed that 1682 metabolites were identified in green coffee beans subjected to five mucilage removal rate treatments; multivariate statistical analysis demonstrated that the removal rate significantly altered the metabolic profiles of non-volatile compounds. A total of 192 differential metabolites were screened using VIP>1, log2|FC|>1, and P<0.05 as thresholds. Among them, amino acids and their derivatives, organic acids, phenolic acids, and saccharides emerged as the most dominant metabolite categories, playing pivotal roles in influencing the flavor characteristics of coffee beans. Trend analysis detected 93 non-volatile compounds exhibiting progressively increased relative contents in correlation with decreasing mucilage removal rates. The Kyoto Encyclopedia of Genes and Genomes (KEGG) results indicated that these compounds exhibited a significant enrichment (P<0.05) in inositol phosphate metabolism, pentose and glucuronate interconversions, galactose metabolism, amino sugar and nucleotide sugar metabolism, streptomycin biosynthesis, indole alkaloid biosynthesis, and carbohydrate digestion and absorption. Partial least squares-discriminant analysis (PLS-DA) model showed that ten potential marker compounds predominantly composed of N-acetyl amino acids were distinguished between honey processing methods with varying mucilage removal rates. The findings revealed the regulatory impact of coffee mucilage on the non-volatile compound profiles in coffee beans, providing a theoretical foundation for optimizing coffee flavor attributes through fermentation control strategies.

widely targeted metabolomics  /  honey processing method  /  Yunnan Arabica coffee  /  non-volatile compounds
喻好好, 付兴飞, 毕晓菲, 李忠贤, 董文江, 李贵平, 李亚男, 胡发广. 广泛靶向代谢组学分析不同蜜处理加工方法对小粒咖啡非挥发性化合物的影响. 食品工业科技, 2026 , 47 (3) : 1 -11 . DOI: 10.13386/j.issn1002-0306.2025020063
Haohao YU, Xingfei FU, Xiaofei BI, Zhongxian LI, Wenjiang DONG, Guiping LI, Yanan LI, Faguang HU. Widely Targeted Metabolomics Analysis of Effects of Different Honey Treatment Processing Methods on Non-volatile Compounds in Yunnan Arabica Coffee[J]. Science and Technology of Food Industry, 2026 , 47 (3) : 1 -11 . DOI: 10.13386/j.issn1002-0306.2025020063
Year 2026 volume 47 Issue 3
82
35
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doi: 10.13386/j.issn1002-0306.2025020063
  • Receive Date:2025-02-12
  • Online Date:2026-10-25
  • Published:2026-02-01
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  • Received:2025-02-12
Affiliations
    1Tropical and Subtropical Cash Crops Institute, Yunnan Academy of Agricultural Sciences, Baoshan 678000, China
    2Yunnan Key Laboratory of Coffee, Baoshan 678000, China
    3Spice and Beverage Research Institute, Chinese Academy of Tropical Agricultural Sciences, Wanning 571533, 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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