烘烤
质谱法
化学
解吸
电喷雾电离
电离
萃取(化学)
分析化学(期刊)
解吸电喷雾电离
分辨率(逻辑)
色谱法
咖啡豆
热电离质谱法
吸附
食品科学
离子
有机化学
计算机科学
人工智能
物理化学
作者
Eunji Cho,Thamina Acter,Nizam Uddin,Sunghwan Kim
摘要
Abstract This study evaluates the application of laser desorption ionization high‐resolution mass spectrometry (LDI‐HRMS) to identify coffee components. The coffee analysis was performed based on origins, roasting temperatures, and extraction methods. The LDI‐HRMS experimental results were compared with electrospray ionization (ESI) HRMS analysis, which revealed major compositional differences of coffee ingredients between LDI and ESI data. It was also observed that bitter components in coffee increased with the increasing roasting temperature, and espresso was found to have more carbohydrate‐derived compounds. This study clearly shows that coffee components can efficiently be identified with LDI. Moreover, a more systematic database can be constructed by combining it with LDI‐imaging because LDI is simple, fast, and requires small amount sample consumption.
科研通智能强力驱动
Strongly Powered by AbleSci AI