OBJECTIVE

2

To establish HPLC fingerprint for Jianpi hewei formula （JPHWF）， conduct chemical pattern recognition analysis， and determine the contents of seven components in the formula， aiming to provide a scientific basis for quality control and further research of JPHWF.

METHODS

2

Taking 15 batches of standard decoctions of JPHWF as samples， the HPLC fingerprint was established using the

Similarity Evaluation System of TCM Chromatographic Fingerprint

（

2012 edition

）. Subsequently， similarity evaluation， as well as identification and attribution analysis of chromatographic peaks， were conducted. Using the common

peak areas from the 15 batches of samples as variables， chemical pattern recognition analyses were performed on the samples through hierarchical cluster analysis， principal component analysis， and orthogonal partial least squares-discriminant analysis. The contents of adenine， 5-hydroxymethylfurfural， tetrahydropalmatine， naringin， dehydrocorydaline， neohesperidin and glycyrrhizic acid in 15 batches of samples were determined by HPLC.

RESULTS

2

There were 19 common peaks in the characteristic chromatograms for 15 batches of samples with the similarities of more than 0.95. Results of chemical pattern recognition analysis showed that 15 batches of samples could be clustered into 3 categories， and 3 differential compounds were found [peak 7 （5-hydroxymethylfurfural）， peak 17 （neohesperidin）， and peak 15 （naringin）

]

. The 7 components were linearly good in the respective concentration ranges （

R

2

≥0.999 4）； RSDs of precision， stability and repeatability tests were less than 2% （

n

＝6）； the average recovery rate of 98.95%-103.81%， RSD of 0.61%-2.75% （

n

＝6）； the contents of them were 0.031-0.106， 0.267-0.824， 0.089-0.144， 1.344-2.091， 0.089-0.178， 1.328-2.028， 0.040-0.150 mg/g， respectively.

CONCLUSIONS

2

Established HPLC fingerprinting method coupled with multi-index content determination is validated to be accurate and reliable， and its combination with chemical pattern recognition analysis can be applied to the quality control of JPHWF.