Determination of baicalin of scutellaria-extract by FT-NIRS rapidly / 中成药

ABSTRACT

AIM: To determine baicalin of scutellaria-extract rapidly by FT-NIRS and data analysis software. METHODS: The correction model was set up based on partial least square and was used to predict baicalin of scutellaria-extract in the samples. RESULTS: Cross validation and test samples determination showed that the co-rrelation coefficient(R2) of this correction model was 95.05,the RMSECV was 0.861,respectively. CONCLUSION: It is fast and convenient.The correction model could be used to predict baicalin of scutellaria-extract rapidly.It can offer reference to content determination of other extracts of Chinese herbs.