Atmospheric solids analysis probe-mass spectrometry (ASAP-MS) as a rapid fingerprinting technique to differentiate the harvest seasons of Tieguanyin oolong teas

文献类型： 外文期刊

第一作者： Tan, Hui Ru

作者： Tan, Hui Ru;Zhou, Weibiao;Tan, Hui Ru;Zhou, Weibiao;Chan, Li Yan;Ong, Adabelle;Xu, Yong-Quan;Zhang, Xue-Bo;Zhou, Weibiao

作者机构：

关键词： Ambient mass spectrometry; Atmospheric solids analysis probe-mass spec-trometry; Tieguanyin tea; Chemometrics; Harvest season

期刊名称：FOOD CHEMISTRY （ 影响因子：8.8； 五年影响因子：8.6 ）

ISSN： 0308-8146

年卷期： 2023 年 408 卷

页码：

收录情况： SCI

摘要： Atmospheric solids analysis probe-mass spectrometry (ASAP-MS), an ambient mass spectrometry technique, was used to differentiate spring and autumn Tieguanyin teas. Two configurations were used to obtain their chemical fingerprints - ASAP attached to a high-resolution quadrupole time-of-flight mass spectrometer (i.e., ASAP-QTOF) and to a single-quadrupole mass spectrometer (i.e., RadianTM ASAPTM mass spectrometer). Then, orthogonal projections to latent structures-discriminant analysis was conducted to identify features that held promise in differentiating harvest seasons. Four machine learning models - decision tree, linear discriminant analysis, support vector machine, and k-nearest neighbour - were built using these features, and high classification ac-curacy of up to 100% was achieved. The markers were putatively identified using their accurate masses and MS/ MS fragmentation patterns from ASAP-QTOF. This approach was successfully transferred to the Radian ASAP MS, which is more deployable in the field. Overall, this study demonstrated the potential of ASAP-MS as a rapid fingerprinting tool for differentiating spring and autumn Tieguanyin.

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