For the sake of searching new methods of high-throughput screening of mutant strains
the strains were screened by applying the technology of metabolomics.Through using Fourier Transformation Infrared spectroscope (FTIR) accompanied with Principal Component Analysis (PCA ) and Hierachical Cluster Analysis (HCA)
the experiment successfully distinguished Streptomyces lydicus AS 4.2501 strains at different times of fermentation
and found the possible biomarkers when Streptomyces lydicus AS 4.2501 synthesized streptolydigin.The experiment
which attempted to use FTIR accompanied with Artificial Neural Network (ANN) to forecast Streptomyces lydicus AS 4.2501 mutation strains with different capacities of streptolydigin biosynthesis also obtained satisfying result.The results suggested that the combination of FTIR of metabolomics analysis with the data analysis of stoichiometric methods have prospective future in high-throughput screening of mutant strains.