复矩阵
工作流程
计算机科学
生化工程
化学
色谱法
工程类
数据库
作者
Aileen Pua,Rui Min Vivian Goh,Yunle Huang,Vivien Chia Yen Tang,Kim-Huey Ee,Maurin Cornuz,Shao Quan Liu,Benjamin Lassabliere,Bin Yu
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2022-04-13
卷期号:388: 132971-132971
被引量:44
标识
DOI:10.1016/j.foodchem.2022.132971
摘要
Coffee has attracted significant research interest owing to its complex volatile composition and aroma, which imparts a pleasant sensorial experience that remains challenging to analyse and interpret. This review summarises analytical challenges associated with coffee's volatile and matrix complexity, and recent developments in instrumental techniques to resolve them. The benefits of state-of-the-art analytical techniques applied to coffee volatile analysis from experimental design to sample preparation, separation, detection, and data analysis are evaluated. Complementary method selection coupled with progressive experimental design and data analysis are vital to unravel the increasing comprehensiveness of coffee volatile datasets. Considering this, analytical workflows for conventional, targeted, and untargeted coffee volatile analyses are thus proposed considering the trends towards sorptive extraction, multidimensional gas chromatography, and high-resolution mass spectrometry. In conclusion, no single analytical method addresses coffee's complexity in its entirely, and volatile analysis must be tailored to the key objectives and concerns of the analyst.
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