College of Biological and Environmental Engineering, Changsha University, Changsha 410022, China.
Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China.
J Am Soc Mass Spectrom. 2020 Dec 2;31(12):2503-2510. doi: 10.1021/jasms.0c00202. Epub 2020 Oct 22.
Mass spectrometry imaging (MSI) is a promising chemical imaging method. Among various endogenous molecules, mapping the concentration and the spatial distribution of specific compounds in the coffee bean tissue is of tremendous significance in its function research, as these compounds are critical to grading coffee beans at the molecular level, determining the geographical origin, and optimizing storage conditions of coffee beans. In this paper, we established an atmospheric pressure (AP) matrix-assisted laser desorption/ionization (MALDI) MSI method for the microscopic distribution analysis of endogenous molecules, for example, sucrose, caffeine, and caffeoylquinic acid, in the coffee bean endosperm. Experiments were done on the differences between coffee beans from eight countries. Principal component analysis (PCA) was performed using IMAGEREVEAL software. The results showed that the chemical composition and relative content of coffee beans from different origins are different. Our work provides a detection method that may be used for coffee bean quality identification, efficient use, product traceability, and product counterfeiting.
质谱成像(MSI)是一种很有前途的化学成像方法。在各种内源性分子中,对咖啡豆组织中特定化合物的浓度和空间分布进行映射,对于其功能研究具有重要意义,因为这些化合物对于在分子水平上对咖啡豆进行分级、确定咖啡豆的地理起源以及优化咖啡豆的储存条件至关重要。本文建立了一种常压(AP)基质辅助激光解吸/电离(MALDI)MSI 方法,用于分析咖啡豆胚内源性分子(如蔗糖、咖啡因和绿原酸)的微观分布。实验针对来自八个国家的咖啡豆进行了研究。使用 IMAGEREVEAL 软件对主成分分析(PCA)进行了分析。结果表明,不同产地咖啡豆的化学成分和相对含量存在差异。我们的工作提供了一种可能用于咖啡豆质量鉴定、高效利用、产品追溯和产品假冒的检测方法。