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[Analysis of fatty acids in leaves of Loropetalum chinense and L. chinense var. rubrum by GC-MS].

Authors: Hu, Tang; Qiang-Feng, Zheng; Gang, Ge; Xi-Wen, Xue; Ai-Ping, Yan; Li, Peng; Bao-Teng, Sun;

[Analysis of fatty acids in leaves of Loropetalum chinense and L. chinense var. rubrum by GC-MS].

Abstract

To extract and analyze fatty acids in leaves of L. chinense Oliver and L. chinense var. rubrum Yieh.The fatty acids were extracted with Soxhlet extractor and identified by the GC-MS method.31, 26 and 30 components were identified from the leaves of L. chinense, the green leaves and red leaves of L. chinense var. rubrum. There were 19, 14 and 16 kinds of fatty acid in the respective leaves, which accounted for 99.09%, 95.31% and 98.83% of the total extraction, respectively. The main components in the extraction were oleic acid (30.77%, 47.01%, 75.28%), linoleic acid (48.49%, 29.26%, 0%), hexadecanoic acid (9.83%, 8.87%, 11.71%), octadecanoic acid (3.86%, 3.18%, 4.88%) and docosanoic acid (2.37%, 2.17%, 2.58%).Many kinds of unsaturated fatty acids exist in leaves of L. chinense Oliver and L. chinense var. rubrum Yieh. The leaves of these two plants can be used as the traditional Chinese medicine.

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Keywords

Linoleic Acid, Plant Leaves, Hamamelidaceae, Fatty Acids, Fatty Acids, Unsaturated, Palmitic Acid, Gas Chromatography-Mass Spectrometry, Oleic Acid

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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