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Citation: CHEN Xuan, HUA Lei, WANG Yan, HOU Keyong, JIANG Jichun, XIE Yuanyuan, LI Haiyang. Fast online two-dimensional analysis of monoterpenes using multi-capillary column high-pressure photoionization time-of-flight mass spectrometry[J]. Chinese Journal of Chromatography, ;2019, 37(8): 904-910. doi: 10.3724/SP.J.1123.2019.04037 shu

Fast online two-dimensional analysis of monoterpenes using multi-capillary column high-pressure photoionization time-of-flight mass spectrometry

CHEN Xuan ^1,2, ,
HUA Lei ¹ ,
WANG Yan ³ ,
HOU Keyong ¹ ,
JIANG Jichun ¹ ,
XIE Yuanyuan ¹ ,
LI Haiyang ¹

1.
Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China;
2.
University of Chinese Academy of Sciences, Beijing 100049, China;
3.
College of Agricultural and Food Sciences, Zhejiang A & F University, Hangzhou 311300, China

Received Date: 25 April 2019

Fund Project: National Key Research and Development Program of China (No. 2016YFC0800902)

One of the most abundant biological volatile organic compounds (BVOCs) in the atmosphere, monoterpene, is characterized by its short lifetime, low concentration, fast temporal and spatial variations, and wide variety of isomers. In this study, a multi-capillary column (MCC) was combined with high-pressure photoionization time-of-flight mass spectrometry (HPPI-TOF MS) and employed to develop an MCC-HPPI-TOF MS combination instrument as an online two-dimensional gas chromatography-mass spectrometry (GC-MS) method for the rapid qualitative and quantitative analysis of monoterpene isomers. As a result, six monoterpene isomers, α -pinene, β -pinene, α -terpinene, γ -terpinene, 3-carene, and limonene, were successfully isolated in 180 s with limits of detection (LODs) as low as 6 μg/m³ without sample pre-enrichment. This method was successfully applied to the rapid online analysis of monoterpenes released from the branches and leaves of Cedrus atlantica and Sabina chinensis, which shows the capability and potential application of the method for the online detection of complex sample mixtures in environmental monitoring, process analysis, and other fields.
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