Characterisation of volatile organic compounds in stemwood using solid-phase microextraction

被引:32
|
作者
Wajs, A
Pranovich, A
Reunanen, M
Willför, S
Holmbom, B
机构
[1] Tech Univ Lodz, Fac Food Sci & Biotechnol, Inst Gen Food Chem, PL-90924 Lodz, Poland
[2] Abo Akad, Proc Chem Ctr, Lab Wood & Paper Chem, Turku 20500, Finland
关键词
SPME; hydrodistillation; dynamic headspace; volatile organic compounds; wood; Picea abies;
D O I
10.1002/pca.891
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Solid-phase microextraction (SPME), hydrodistillation and dynamic headspace combined with GC and GC-MS were applied and compared for the analysis of volatile organic compounds (VOCs) from coniferous wood. The SPME conditions (type of fibre, size of wood sample, temperature and exposure time) were optimised, and more than 100 VOCs and semi-volatile compounds extracted and identified from the sapwood and heartwood of Norway spruce (Picea abies). The total number of mono- and sesquiterpenes eluted and identified was similar for the SPME and hydrodistillation methods, but more semi-volatile compounds were released by hydrodistillation. By applying dynamic headspace at room temperature, it was possible to analyse only the most volatile compounds. The qualitative composition of VOCs was similar in spruce sapwood and heartwood, although Z-beta-ocimene occurred only in sapwood while fenchol was present only in heartwood. SPME sampling coupled with GC, applied here to the analysis of VOCs released from stemwood of firs for the first time, is a convenient, sensitive, fast, solvent.-free and simple method for the determination of wood volatiles. The technique requires much smaller sample amounts compared with hydrodistillation, and the total amount of VOCs extracted and identified is higher than that obtained by hydrodistillation or dynamic headspace. The relative ratios of the main mono- and sesquiterpenes and -terpenoids were similar using the SPME-GC and hydrodistillation methods. Copyright (C) 2005 John Wiley & Sons, Ltd.
引用
收藏
页码:91 / 101
页数:11
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