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Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS.
Molecules. 2022 Jul 08; 27(14)M

Abstract

Volatile organic compounds (VOCs) are the main chemical components of Schizonepetae Spica (SS), which have positive effects on the quality evaluation of SS. In this study, HS-SPME-GC-MS (headspace solid-phase microextraction-gas chromatography-mass spectrometry) and HS-GC-IMS (headspace-gas chromatography-ion mobility spectrometry) were performed to characterize the VOCs of SS from six different regions. A total of 82 VOCs were identified. In addition, this work compared the suitability of two instruments to distinguish SS from different habitats. The regional classification using orthogonal partial least squares discriminant analysis (OPLS-DA) shows that the HS-GC-IMS method can classify samples better than the HS-SPME-GC-MS. This study provided a reference method for identification of the SS from different origins.

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Authors+Show Affiliations

Li C
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Wan H
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Wu X
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Yin J
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Zhu L
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Chen H
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China.
Song X
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Han L
Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Yang W
Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Yu H
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China. Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.
Li Z
College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China. First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China. Haihe Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China.

MeSH

Gas Chromatography-Mass SpectrometryIon Mobility SpectrometryLeast-Squares AnalysisSolid Phase MicroextractionVolatile Organic Compounds

Pub Type(s)

Journal Article

Language

eng

PubMed ID

35889268

Citation

Li, Chao, et al. "Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica From Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS." Molecules (Basel, Switzerland), vol. 27, no. 14, 2022.
Li C, Wan H, Wu X, et al. Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS. Molecules. 2022;27(14).
Li, C., Wan, H., Wu, X., Yin, J., Zhu, L., Chen, H., Song, X., Han, L., Yang, W., Yu, H., & Li, Z. (2022). Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS. Molecules (Basel, Switzerland), 27(14). https://doi.org/10.3390/molecules27144393
Li C, et al. Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica From Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS. Molecules. 2022 Jul 8;27(14) PubMed PMID: 35889268.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Discrimination and Characterization of the Volatile Organic Compounds in Schizonepetae Spica from Six Regions of China Using HS-GC-IMS and HS-SPME-GC-MS. AU - Li,Chao, AU - Wan,Huiying, AU - Wu,Xinlong, AU - Yin,Jiaxin, AU - Zhu,Limin, AU - Chen,Hanjiang, AU - Song,Xinbo, AU - Han,Lifeng, AU - Yang,Wenzhi, AU - Yu,Heshui, AU - Li,Zheng, Y1 - 2022/07/08/ PY - 2022/05/19/received PY - 2022/07/04/revised PY - 2022/07/05/accepted PY - 2022/7/27/entrez PY - 2022/7/28/pubmed PY - 2022/7/29/medline KW - HS-GC-IMS KW - HS-SPME-GC-MS KW - OPLS-DA KW - Schizonepetae Spica KW - volatile organic compounds JF - Molecules (Basel, Switzerland) JO - Molecules VL - 27 IS - 14 N2 - Volatile organic compounds (VOCs) are the main chemical components of Schizonepetae Spica (SS), which have positive effects on the quality evaluation of SS. In this study, HS-SPME-GC-MS (headspace solid-phase microextraction-gas chromatography-mass spectrometry) and HS-GC-IMS (headspace-gas chromatography-ion mobility spectrometry) were performed to characterize the VOCs of SS from six different regions. A total of 82 VOCs were identified. In addition, this work compared the suitability of two instruments to distinguish SS from different habitats. The regional classification using orthogonal partial least squares discriminant analysis (OPLS-DA) shows that the HS-GC-IMS method can classify samples better than the HS-SPME-GC-MS. This study provided a reference method for identification of the SS from different origins. SN - 1420-3049 UR - https://www.unboundmedicine.com/medline/citation/35889268/Discrimination_and_Characterization_of_the_Volatile_Organic_Compounds_in_Schizonepetae_Spica_from_Six_Regions_of_China_Using_HS_GC_IMS_and_HS_SPME_GC_MS_ DB - PRIME DP - Unbound Medicine ER -
Grapherence [↓1 ↑37]

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