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

李善明; 樊正强; 黄成福; 何伟; 赵海誉; 文天国; 彭立民

doi:10.12326/j.2096-9694.2021163

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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
Fingerprint Analysis of Characteristic Volatile Organic Compounds in Fragrance-Scented Particleboards with Added Chinese Herbal Medicine
1.中国林业科学研究院木材工业研究所,北京 100091
2.广东艾高智能家居有限公司,广东佛山 528051
3.中国中医科学院中药研究所,北京 100700
4.云南新泽兴人造板有限公司,云南昆明 650499
2022年36卷第4期页码：38-44
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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