基于UHPLC-QE-MS代谢组学分析小粒种咖啡豆特征成分
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(1.云南农业大学食品科学技术学院 昆明 650201;2.云南农业大学园林园艺学院 昆明 650201)

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Metabolomic Analysis of the Characteristic Components of Coffea arabica L.Based on UHPLC-QE-MS
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(1.College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201;2.College of Horticulture and Landscape, Yunnan Agricultural University, Kunming 650201)

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    摘要:

    以云南小粒咖啡生豆和埃塞俄比亚咖啡生豆为研究对象,采用超高效液相色谱串联质谱(UHPLC-QE-MS)对咖啡生豆代谢产物进行代谢组学分析,探究云南不同地区咖啡生豆代谢产物差异,以及与埃塞俄比亚咖啡生豆相比的特征成分。试验结果表明:云南小粒咖啡生豆与埃塞俄比亚生豆有36种差异物质,包括表儿茶素、3-O-咖啡酰-1-O-甲基奎宁酸等16种多酚,十八碳三烯酸等8种脂质类,牡荆甙等6种糖类以及少量生物碱类、有机酸类、萜类,其中Mammeigin、牡荆甙、3-O-咖啡酰-1-O-甲基奎宁酸、2,2-二甲基丁二酸、十八碳三烯酸等24种化合物含量高于埃塞俄比亚生豆,表儿茶素、决明子苷、脂氧素等12种化合物含量显著低于埃塞俄比亚生豆。不同地区云南小粒咖啡生豆的代谢组学分析结果显示:差异代谢物共有44种,包括谷氨酸、苯丙氨酸等14种氨基酸,棕榈酰胺、花生酸等11种脂质类,绿原酸、奎宁酸等10种多酚,苹果酸等3种有机酸以及少量萜类、糖类、醇类和其它类。以上结论:利用UHPLC-QE-MS技术并结合多元统计分析的方法,可分析不同区域条件下咖啡生豆代谢产物差异,为咖啡豆产地溯源提供方法依据。

    Abstract:

    Metabonomics profiling of Yunnan and Ethiopian coffee beans were conducted by UHPLC-QE-MS, to investigate the differences metabolites of green coffee beans in different regions of Yunnan Province and the characteristic components compared with those in Ethiopia. The results showed that there were 36 differential substances in Yunnan green coffee beans compared with Ethiopian green beans, including 16 metabolites of polyphenols such as 3-O-caffeoyl-1-O-methylquinic acid and epicatechin; 8 metabolites of lipids, such as octadecatrienoic acid; 6 metabolites of sugars, such as agnuside; and alkaloids, organic acids, terpenes. Among them, the contents of 24 compounds such as mammeigin, agnuside, 3-O-caffeoyl-1-O-methylquinic acid, 2,2-dimethylsuccinic acid and octadecatrienoic acid in Yunnan green coffee beans were significantly higher than those in Ethiopia green coffee beans, and 12 compounds such as epicatechin, cassitoroside and lipoxin in Ethiopia were significantly higher than those in Yunnan. The analysis of Yunnan green coffee from different regions showed that there were 44 differential metabolites, including 14 metabolites of amino acids such as glutamic acid and alanine; 11 metabolites of fatty acids such as palmitic amide and arachidic acid; 10 metabolites of polyphenols such as chlorogenic acid and quinic acid; malic acid and other 3 organic acids, and terpenoids, sugars, alcohols, others. The results showed that UHPLC-QE-MS combined with multivariate statistical analysis method could be used to study the differences of metabolites of coffee beans in different regions, providing theoretical basis for origin traceability of coffee beans.

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苗玥,谭超,彭春秀,龚加顺.基于UHPLC-QE-MS代谢组学分析小粒种咖啡豆特征成分[J].中国食品学报,2022,22(11):355-367

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  • 在线发布日期: 2022-12-28
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