Study On Rapid Detection Of Baicalin In Scutellaria Baicalensis By NIR Spectroscopy Quantitative Model

Compared with normal analysis,the analysis of Near-infrared Spectroscopy,NIRS,involves many disciplines such as chemometrics,and needs a lot of techniques such as algorithms,and computer software technology,etc.Nowadays,Near-infrared Spectroscopy has been one of the fastest growing and most noticeable technique in the analysis,and is wildly used in research and development of Traditional Chinese Medicine,and on-line management in pharmaceutical engineering,and so on,due to its rapid identification,simple in sample treatment,friendly environment and among others.In this paper,the application research of the NIRS in the quality determination and quantity control of Scutellaria baicalensis is based on Baicalin content as characteristic recognition index.The main works were as follows:Firstly,the stable and sensitive extraction method of Baicalin from Scutellaria baicalensis was developed and established.Secondly,combined with the extraction method,HPLC and NIRS,the NIRS quantitative analysis models were built based on 127 samples(95for models and 32 for validation)of Scutellaria baicalensis.The results of NIRs quantitative model shows the relationship between the spectrums and assay of Baicalin.The model can be possible to calculate the assay and quality of medicine.All the results in this paper show that the method of‘vector correction+first-order derivative'is the optimal method.Using this method,the model gets 93.67%R~2,1.08 SEC and 12.00%RSD.The validation results is 89.07%R~2,1.19 SEP and 12.46%RSD.The final model is verified by Coptis chinensis as specific attribute test and Baicalin as accuracy test.As a conclusion,it is possible to use NIRs technique to rapid and non-damaged analysis of medicine.