Fingerprint Analysis of Characteristic Volatile Organic Compounds in Fragrance-Scented Particleboards with Added Chinese Herbal Medicine

Shan-ming LI; Zheng-qiang FAN; Cheng-fu HUANG; Wei HE; Hai-yu ZHAO; Tian-guo WEN; Li-min PENG

doi:10.12326/j.2096-9694.2021163

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Fingerprint Analysis of Characteristic Volatile Organic Compounds in Fragrance-Scented Particleboards with Added Chinese Herbal Medicine
1.Research Institute of Wood Industry,Chinese Academy of Forestry,Beijing 100091,China
2.Guangdong Aigao Smart Household Products Co.,Ltd.,Foshan 528051,Guangdong,China
3.The Institute of Chinese Materia Medica,China Academy of Chinese Medicine Sciences,Beijing 100700,China
4.Yunnan New Zexing Wood-Based Board Co.,Ltd.,Kunming 650499,Yunnan,China
Vol. 36, Issue 4, Pages: 38-44(2022)
DOI： 10.12326/j.2096-9694.2021163

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李善明,樊正强,黄成福等.中草药释香型刨花板特征挥发性有机化合物的指纹图谱分析[J].木材科学与技术,2022,36(04):38-44.

LI Shan-ming,FAN Zheng-qiang,HUANG Cheng-fu,et al.Fingerprint Analysis of Characteristic Volatile Organic Compounds in Fragrance-Scented Particleboards with Added Chinese Herbal Medicine[J].Chinese Journal of Wood Science and Technology,2022,36(04):38-44.
李善明,樊正强,黄成福等.中草药释香型刨花板特征挥发性有机化合物的指纹图谱分析[J].木材科学与技术,2022,36(04):38-44. DOI： 10.12326/j.2096-9694.2021163.

LI Shan-ming,FAN Zheng-qiang,HUANG Cheng-fu,et al.Fingerprint Analysis of Characteristic Volatile Organic Compounds in Fragrance-Scented Particleboards with Added Chinese Herbal Medicine[J].Chinese Journal of Wood Science and Technology,2022,36(04):38-44. DOI： 10.12326/j.2096-9694.2021163.

摘要

应用气相色谱-离子迁移谱（GC-IMS）采集添加中草药的释香型刨花板（简称释香板）的挥发性香气指纹信息，并进行主成分分析和“最近邻”分析，评价释香板的香气指纹信息，确定其与普通刨花板的差异和辨别方法。结果表明：GC-IMS共鉴定出释香板37种挥发性有机化合物（VOCs），主要VOCs为醛类、烯类、酮类和酯类化合物。释香板的特征VOCs为芳樟醇、石竹烯氧化物和樟脑。通过指纹图谱、主成分分析和“最近邻”指纹分析，可区分释香板和普通板的VOCs差异，GC-IMS可为快速判别释香板提供理论依据和数据支持。

Abstract

In this study, the gas chromatography-ion mobility spectrometry (GC-IMS) was employed to collect the fingerprint information of volatile organic compounds (VOCs) of fragrance-scented particleboards added with the Chinese herbal medicine. The detailed information, i.e., the fragrance fingerprint, the difference and degree of differentiation of the fragrance-scented particleboards, and the control group were evaluated by the principal component analysis and the nearest-neighbor analysis. There are 37 kinds of VOCs identified by GC-IMS in fragrance-scented particleboards, among which aldehydes, alkenes, ketones, and esters are the main VOCs. Linalool, caryophyllene oxide, and camphor are the characteristic VOCs in the fragrance-scented particleboards. The fingerprint information, the principal component analysis, and the nearest-neighbor analysis diagrams can distinguish the difference of VOCs between the control group and fragrance-scented particleboards. The results show that GC-IMS provides theoretical basis and data supporting the rapid identification of scented particleboards with the Chinese herbal medicine.

关键词

气相色谱-离子迁移谱中草药释香型刨花板挥发性有机化合物指纹图谱

Keywords

gas chromatography-ion mobility spectrometry (GC-IMS)fragrance-scented particleboards with added Chinese herbal medicinevolatile organic compounds (VOCs)fingerprint

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