HS-SPME-GC-MS combined with metabolomic approach to discriminate volatile compounds of Brazilian coffee from different geographic origins

芳香 代谢组学 化学 风味 气相色谱-质谱法 固相微萃取 质谱法 小粒咖啡 食品科学 偏最小二乘回归 作文(语言) 气相色谱法 主成分分析 色谱法 植物 生物 数学 统计 哲学 语言学
作者
Renata Silva Mourão,Ananda Lima Sanson,Maria Elvira Poleti Martucci
出处
期刊:Food bioscience [Elsevier]
卷期号:56: 103395-103395 被引量:5
标识
DOI:10.1016/j.fbio.2023.103395
摘要

Coffee, primarily the Coffea arabica variety, is a significant agricultural product in Brazil, well-known for its flavor, which is intimately tied to its chemical composition. In this study, we assessed the volatile compounds found in arabica coffee beans from various Brazilian regions using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS). Mass spectra from these volatile compounds were cross-referenced with the NIST and WILEY libraries. Furthermore, the data obtained through GC-MS analysis were subjected to a metabolomics approach utilizing the MS-DIAL software. Principal component analysis (PCA) categorized the samples into three distinct groups, while Partial Least Squares (PLS) identified the volatile compounds responsible for the similarities and differences among these groups. Our findings revealed variations in the composition of volatile compounds based on the coffee's origin. Additionally, the results demonstrated that altitude plays a significant role in aroma composition, with higher altitudes associated with a more diverse and remarkable aroma, whereas lower altitudes were linked to a lower aroma quality.
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