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Fragrance Analysis Using GC-MS and Electronic Nose in Phalaenopsis  

Park, PueHee (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Yae, ByeongWoo (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Kim, MiSeon (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Lee, YoungRan (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Park, PilMan (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Lee, DongSoo (Floriculture Research Division, National Institute of Horticultural & Herbal Science, Rural Development Administration)
Publication Information
FLOWER RESEARCH JOURNAL / v.19, no.4, 2011 , pp. 219-224 More about this Journal
Abstract
Phalaenopsis (P.) has various species, and some of them have strong fragrance. There are fragrant species such as P. bellina, P. violacea, P. schilleriana and used in breeding program for fragrant Phalaenopsis. This study was performed for establishment of fragrance analysis system using GC-MS and electronic nose in eight P. resources. We analyzed fragrant compound using the tissue of sepal, petal, column, and lip of P. '3010'. The percentage of the major compound was high in the petal and lip tissues. The main compound emitted from P. bellina was linalool (21.21%). It was possible that fragrance pattern could be analyzed among the resources using the electronic nose. Discriminant function analysis (DFA) was more useful than the principal component analysis (PCA) in statistics program. We utilized GC-MS method for the major compounds of flower from our breeding materials. This study would be useful to the fragrant analysis system for the fragrant orchid breeding in the future.
Keywords
breeding; electronic nose; fragrance analysis; selection;
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