Refining the Very Important Value of Mass to Charge Ratio from Traditional Chinese Medicine' Nature Data

Abstract

The research for Chinese herbs warm and cold natures classification is a significative thing for clinical. The paper put forward refining the very important value of mass to charge ratio (M/Z) from Traditional Chinese Medicine' Nature data using orthogonal signal correction-orthogonal partial least squares-discriminant analysis (OSC-OPLS/O2PLS-DA) after normalization. The first , data standardizing for the metabolites sample spaces data; The second, Reducing dimensions for the metabolites sample spaces data using OSC; the third, distinguish TCM' nature using OPLS/O2PLS-DA ;The fourth, gain the very important value of Mass to charge ratio for TCM' nature; The fifth, According to the necessary of the research, repeat the fourth step and the fifth step, and refine the M/Z.The model was proved to be feasible and effective after tested with 6 types warm natures herbs, 6 types cold natures herbs.