@article{jfnr2015342,
author={{Xi, Wanpeng and Li, Ligai and Jiang, Dong and Jiao, Bining and Zhou, Zhiqin},
title={Variation Patterns of the Volatile Compounds in Flowers of Chinese Native Citrus Species and Their Taxonomic Implications},
journal={Journal of Food and Nutrition Research},
volume={3},
number={4},
pages={235--245},
year={2015},
url={http://pubs.sciepub.com/jfnr/3/4/2},
issn={2333-1240},
abstract={In this study, the volatile compounds in the flowers of nine Citrus species/varieties, seven of which are native to China, were analyzed using headspace-solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC-MS). A total of 94 compounds were identified, including various terpenes, such as monoterpenes, sesquiterpenes, terpene alcohols and aldehydes, which together accounted for 80.4% to 92.4% of the total compounds analyzed. Limonene, linalool and ¦Ã-terpinene were the dominant terpenes. Different species/varieties were characterized by their volatile compounds. Papeda was characterized by a high level of ¦Â-ocimene, linalyl acetate, myrcene and neo-alloocimene; Citrophorum was characterized by a high level of limonene and caryophyllene, and Cephelocitrus by a high level of limonene, ¦Â-pinene and linolool. Sinocitrus had the highest amount of linolool. Sweet orange had the highest level of limonene, while sour orange was distinct from others with the highest level of ¦Ã-terpinene. The four basic types of the genus <i>Citrus</i> L., Papeda, Cephalocitrus, Citrophorum and Sinocitrus, can be clearly classified based on a cluster analysis of their volatile compounds. All of the presumed hybrid species, including Jinchengbeibei 447 (<i>C. sinensis</i> Osb.), Goutoucheng (<i>C. aurantium</i> L.), Ningmeng 4 (<i>C. limon</i> Burm.f.), and Changshanhuyou (<i>C. paradisi</i> cv. Changshanhuyou), were grouped closely together with a suggested parent species in the constructed dendrogram. Our study clearly demonstrates that Citrus flower volatile compounds and their variation patterns can be used for Citrus species identification and taxonomic study.},
doi={10.12691/jfnr-3-4-2}
publisher={Science and Education Publishing}
}
