Improved detection of key odourants in Arabica coffee using gas chromatography-olfactometry in combination with low energy electron ionisation gas chromatography-quadrupole time-of-flight mass spectrometry

• Published in: Food chemistry 2020-01, Vol.302, p.125370-125370, Article 125370
• Main Authors: Pua, Aileen, Lau, Hazel, Liu, Shao Quan, Tan, Lay Peng, Goh, Rui Min Vivian, Lassabliere, Benjamin, Leong, Kwong-Chee, Sun, Jingcan, Cornuz, Maurin, Yu, Bin
• Format: Article
• Language: English
• Subjects: AEDA; Coffee; GC-QTOF; Low energy EI; Volatiles
• ISSN: 0308-8146; 1873-7072
• DOI: 10.1016/j.foodchem.2019.125370

•Volatiles of Arabica coffees of four origins extracted by HS-SPME and SAFE.•Key Arabica coffee odourants revealed by AEDA.•Optimisation of low energy EI GC-QTOF method to improve resolution and sensitivity.•Utilisation of low energy EI GC-QTOF to measure coffee odourants at trace level.•Arabica coffee SAFE extracts evaluated organoleptically. Four Arabica coffees (Brazil, Colombia, Ethiopia, and Guatemala) yield highly variant odours, attesting to the complexities of coffee aroma that command advanced analytical tools. In this study, their volatiles were extracted using solvent-assisted flavour evaporation (SAFE) and headspace solid-phase microextraction (HS-SPME). Due to matrix complexity, some trace odourants were detected in SAFE extracts by aroma extract dilution analysis (AEDA) but remained difficult to quantify by gas chromatography-mass spectrometry (GC–MS). This prompted the application of low energy electron ionisation (EI) coupled with GC-quadrupole time-of-flight (GC-QTOF). Optimal low EI GC-QTOF parameters (EI energy: 15 eV, acquisition rate: 3 Hz) were applied to achieve improved molecular ion signal intensity and reproducibility (relative standard deviation