Lyrio Marcos Valério Vieira, Debona Danieli Grancieri, Feu Amanda Eiriz, Dos Santos Nayara Araujo, Gonçalves Arlan da Silva, Kuster Ricardo Machado, de Castro Eustáquio Vinícius Ribeiro, Romão Wanderson
Federal University of Espírito Santo/UFES, Department of Chemistry, Campus Goiabeiras, Avenida Fernando Ferrari, 514, 29075-910 Vitoria, Espírito Santo, Brazil.
Federal Institute of Espírito Santo - Campus Vila Velha, Av. Ministro Salgado Filho, Soteco, 29106-010 Vila Velha, Espírito Santo, Brazil.
J Am Soc Mass Spectrom. 2025 Jun 4;36(6):1213-1226. doi: 10.1021/jasms.4c00418. Epub 2025 May 13.
Coffee is characterized by a complex chemical matrix that significantly influences its organoleptic properties and market value. This complexity is driven by factors such as botanical species, geographical origin, cultivation conditions, and post-harvest processing methods. Metabolomic studies aim to elucidate how these factors impact the biosynthesis of metabolites that contribute to the sensory qualities of high-quality coffee. Among various analytical techniques, liquid chromatography-mass spectrometry (LC-MS) is particularly effective for separating, identifying, and quantifying these compounds. Most metabolomic studies employ high-resolution mass spectrometry (HRMS) for its superior mass accuracy (<1 ppm), whereas the interpretation of low-resolution data requires additional effort, often relying on literature references and proposed fragmentation mechanisms. In this study, we applied LC-ESI(±)LTQ MS to comprehensively profile coffee metabolites, identifying 60 compounds, including polar compounds and their isomers such as chlorogenic acids, carbohydrates, amino acids, alkaloids, glycosylated diterpenes, and flavonoids. Fragmentation mechanisms were proposed and discussed. The results demonstrate the effectiveness of LC-ESI(±)LTQ MS in a detailed metabolomic analysis, providing a robust platform for future research in coffee metabolomics.
咖啡具有复杂的化学基质,这对其感官特性和市场价值有重大影响。这种复杂性是由植物种类、地理来源、种植条件和收获后加工方法等因素驱动的。代谢组学研究旨在阐明这些因素如何影响对高品质咖啡感官品质有贡献的代谢物的生物合成。在各种分析技术中,液相色谱 - 质谱联用(LC-MS)对于分离、鉴定和定量这些化合物特别有效。大多数代谢组学研究采用高分辨率质谱(HRMS),因为其具有卓越的质量精度(<1 ppm),而低分辨率数据的解读需要额外的努力,通常依赖文献参考和提出的裂解机制。在本研究中,我们应用LC-ESI(±)LTQ MS对咖啡代谢物进行全面分析,鉴定出60种化合物,包括极性化合物及其异构体,如绿原酸、碳水化合物、氨基酸、生物碱、糖基化二萜和黄酮类化合物。提出并讨论了裂解机制。结果证明了LC-ESI(±)LTQ MS在详细的代谢组学分析中的有效性,为咖啡代谢组学的未来研究提供了一个强大的平台。