FOOD SCIENCE

• Component Analysis • Previous Articles     Next Articles

Determination of Mineral Elements of Wild Wolfiporia extensa Collected from Yunnan by ICP-MS

SUN Jing, ZHANG Ji, ZHAO Yanli, WANG Yuanzhong   

  1. 1. Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China;
    2. Yunnan Technical Center for Quality of Chinese Materia Medical, Kunming 650200, China;
    3. College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, China
  • Online:2016-07-25 Published:2016-07-26
  • Contact: WANG Yuanzhong

Abstract:

This study was undertaken to investigate the distribution characteristics of mineral elements in wild Wolfiporia
extensa. Fifteen elements including Li, Mg, K, Ca, V, Cr, Mn, Fe, Cu, Zn, As, Rb, Sr, Cs, and Pb in the sclerotia of
W. extensa collected from 28 regions of Yunnan province were determined by inductively coupled plasma-mass spectrometry
(ICP-MS) after microwave digestion. The measurement data were analyzed by SPSS through principle component analysis
(PCA), correlation analysis, and cluster analysis (CA). The results showed that the correlation coefficients (r) of the linear
regression equations of the anayte elements were all above 0.999 0, the measured values of standard reference materials
were in agreement with the certified values, and the relative standard deviations (RSDs) were all below 8%. Hence this
method is suitable for the determination of mineral elements of wild W. extensa because of its good precision and accuracy.
Our analysis results indicated that wild W. extensa collected from Yunnan contained many kinds of mineral elements. The
concentration levels of Ca (925.79 μg/g), K (370.42 μg/g), Mg (115.20 μg/g), and Fe (115.80 μg/g) were the highest, and
the levels of toxic elements As and Pb were below the maximum safe limits stipulated in the Standard for Maximum Levels
of Contaminants in Foods (GB 2762—2012) and the FAO/WHO standards. The results of PCA indicated that 4 principal
components were chosen to examine the dataset which could explain 77.55% of the total variance. V, Fe, Li, As, Cs, Cr,
Pb, Sr, Ca, and Mn were inferred to be the characteristic elements in wild W. extensa. The results of correlation analysis and
CA were in agreement with PCA. All the tested elements could be grouped into three clusters: Fe, V, Li, Cs, As, and Cr as
the first cluster; and Pb, K, Rb, Zn, Mg, and Cu as the second cluster; and Mn, Ca and Sr as the third cluster. The results of
CA indicated that there were significant differences in the contents of mineral elements mainly because the mineral element
contents of wild W. extensa were greatly influenced by the topography and climate characteristics of Yunnan province.

Key words: inductively coupled plasma-mass spectrometry (ICP-MS), Wolfiporia extensa, mineral elements, principle component analysis, cluster analysis

CLC Number: