4.3 Article

Fatty acid profile of four Ganoderma species collected from various host trees with chemometric approach

期刊

BIOCHEMICAL SYSTEMATICS AND ECOLOGY
卷 78, 期 -, 页码 91-97

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.bse.2018.03.008

关键词

Ganoderma species; Fatty acids; Principal component analysis; Hierarchical cluster analysis; Extraction method

资金

  1. Research Fund of Mugla Sitki Kocman University [15/022, 17/094]

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Ganoderma species have been used in traditional medicine, particularly for cancer therapy. To evaluate the similarities and the differences between four Ganoderma species, fatty acid constituents of five Ganoderma lucidum, seven G. adspersum, one G. applanatum and one G. resinaceum collected from different trees and localities were studied using GC-MS. The fatty acids were obtained by three different techniques; namely, maceration, soxhlet and ultrasonic extractions. The Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) for selected fifteen fatty acids of 14 samples of 4 Ganoderma species were performed using Minitab statistical software 16.2.1 to classify the samples. Linoleic acid (ranged from 9.80 to 3467 mu g/g), oleic acid (16.9-3356 mu g/g), palmitic acid (15.5-1272 mu g/g), tricosanoic acid (1.11-406 mu g/g), tetracosanoic acid (1.11-408 mu g/g), lauric acid (2.17-314 mu g/g) and stearic acid (1.11-286 mu g/g) were the major fatty acids determined in all samples. The host tree and the extraction technique were discriminated the Ganoderma species from each other.

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