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Rapid Identification of Different Cinnamon Using Coated Direct Inlet Probe Coupled with Atmospheric-Pressure Chemical Ionization Mass Spectrometry

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Abstract

This study demonstrates a rapid method for the identification of volatile and endogenous compounds in cinnamon through a coated direct intracavity probe (CDIP) coupled to the atmospheric pressure chemical ionization (APCI) source for mass spectrometry direct injection. Sixty-seven molecular ions were screened from quadrupole-time-of-flight (Q-ToF) mass spectrometer data as fingerprint ions of four varieties of cinnamons. Electronic nose and gas chromatography-mass spectrometry (GC-MS) as comparisons were used to analyze the cinnamons. The principal component analysis (PCA) results showed that both GC-MS and CDIP-APCI-Q-ToF method could be used to identify different kinds of cinnamons effectively. Part of the fingerprint ions obtained via CDIP-APCI-Q-ToF could be matched to the compounds detected by GC-MS. These findings indicated that CDIP-APCI-Q-ToF direct injection considerably shortened sample analysis time and achieved a faster, more efficient, and sensitive identification of different varieties of cinnamons.

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Funding

This work received financial support from the National Key Research and Development Program of China (2016YFD0400404) and the Central Funds Guiding the Local Science and Technology Development (2020JH6/10500002).

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Correspondence to Lei Qin.

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Lei Qin declares that there is no conflict of interest. Zheng Zhou declares that there is no conflict of interest. Zi-Yuan Zhao declares that there is no conflict of interest. Xu-Hui Huang declares that there is no conflict of interest. Rong Liu declares that there is no conflict of interest. Xiu-Ping Dong declares that there is no conflict of interest. Bei-Wei Zhu declares that there is no conflict of interest.

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Qin, L., Zhou, Z., Zhao, ZY. et al. Rapid Identification of Different Cinnamon Using Coated Direct Inlet Probe Coupled with Atmospheric-Pressure Chemical Ionization Mass Spectrometry. Food Anal. Methods 14, 1402–1414 (2021). https://doi.org/10.1007/s12161-021-01981-x

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