FOOD SCIENCE ›› 2008, Vol. 29 ›› Issue (7): 247-250.

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Application of Principal Component Analysis Method in Metabolomics Analysis of High Arachidonic Acid-producing Stains

LI  Ruo-Xin, JIN  Ming-Jie, PENG  Chao, PAN  Chen-Liang, LI  Shuang, HUANG  He   

  1. 1. State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China; 2.College of Pharmacy and Life Science, Nanjing University of Technology, Nanjing 210009, China
  • Online:2008-07-15 Published:2011-07-28

Abstract: The information on GC-MS spectra of three strains of high arachidonic acid-producing Mortierella alpine was analysed by principal component analysis, using 18 common metabolites as the original variables. Two principal components are got and the three strains with different characters are distinguished. At the same time, principal component 1 is found to be corresponded with arachidonic acid accumulation and principal component 2 is corresponded with biomass yield.

Key words: principal component analysis, arachidonic acid, Mortierella alpina, metabolomics, GC-MS analysis