Application of multivariate statistical analysis to biological data.: Variations of monoterpene content in fresh needles of Picea abies (L.) Karst

被引：0
作者：
Helanova, Valerie
Chvilickova, Iva
Martinkova, Milena
Meloun, Milan
Kuban, Vlastimil
机构：
[1] Mendel Univ Agr & Forestry, Dept Chem & Biochem, CZ-61300 Brno, Czech Republic
[2] Mendel Univ Agr & Forestry, Dept Forest Bot, CZ-61300 Brno, Czech Republic
[3] Univ Pardubice, Dept Analyt Chem, CZ-53210 Pardubice, Czech Republic
来源：
CHEMIA ANALITYCZNA | 2006年 / 51卷 / 04期
关键词：
principal component analysis; correlation analysis; cluster analysis; ANOVA; needle age classes; terpenes; Norway spruce; Picea abies (L.); Karst;
D O I：
暂无
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
Gas chromatographic-mass spectrometric (GC-MS) analysis using an HP-INNOWax capillary column (30 m x 0.25 mm x 0.5 mu m film of polyethylene glycol) has been used for determination of individual monoterpenes in fresh coniferous needles of Picea abies (L.) Karst. Concentration and composition pattern of monoterpenes were investigated with respect to the year of differentiation of needles (age of needles) and characteristics of shoots (length and total dry matter weight, DMW). Principal component analysis, analysis of variance, and cluster analysis allowed one to specify the content and composition pattern of essential oils and to find interrelations (also the latent ones) between year classes of needles.
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页码：551 / 565
页数：15
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