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International Journal of Medicinal Mushrooms
IF: 1.423 5-Year IF: 1.525 SJR: 0.431 SNIP: 0.661 CiteScore™: 1.38

ISSN Print: 1521-9437
ISSN Online: 1940-4344

International Journal of Medicinal Mushrooms

DOI: 10.1615/IntJMedMushrooms.v18.i5.70
pages 433-444

Determination and Multivariate Analysis of Mineral Elements in the Medicinal Hoelen Mushroom, Wolfiporia extensa (Agaricomycetes), from China

Jing Sun
College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, China; Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, China
Ji Zhang
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, People's Republic of China
Yanli Zhao
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, People's Republic of China
Yuanzhong Wang
Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, People's Republic of China
Wanyi Li
College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, China; Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming, China

ABSTRACT

Concentrations of 11 elements (As, Ba, Cd, Cu, Fe, Mn, Ni, Pb, Se, Sr, and Zn) from the medicinal and edible mushroom Wolfiporia extensa were determined using atomic fluorescence spectrometry (for As and Se) and inductively coupled plasma atomic emission spectrometry (for Ba, Cd, Cu, Fe, Mn, Ni, Pb, Sr, and Zn). All the samples were collected from 6 regions of Yuxi in Yunnan Province in the southwest of China and were digested with concentrated nitric acid and hydrogen peroxide in a microwave system. The recovery rates of standard addition ranged from 98.24% to 111.8%; the correlation coefficients were all above 0.999. The amounts of As (0.009–0.41 μg · g1 dry weight [dw]), Cd (0–0.266 μg · g−1 dw), and Pb (0–2.6 μg · g1 dw) were below the permissible limits in food that are promulgated by the World Health Organization. All the element concentrations determined in this study were proved at the common level. The result of principal component analysis indicated that 5 principal components were extracted from 11 elements, which revealed 74.7% of all variable information. The results of cluster analysis mainly showed the presence of 3 metal groups.


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