Objective:

2

Totally 12 batches of

Salvia miltiorrhiza

stem and leaves were taken as the research object

in order to investigate the correlation between the chromatographic peaks and the blood circulation activity in the HPLC fingerprint

and establish and verify the activity spectrum-effect model based on enzyme activity.

Method:

2

HPLC method and fibrinogen plate method were used to determine the fingerprint and

in vitro

activity values of stems and leaves of

S

.

miltiorrhiza

in 6 batches. SPSS was used to establish its spectrum-effect model by the principal component analysis-correlation analysis-multiple linear regression analysis method

and six batches of

S

.

miltiorrhiza

stems and leaves were used to verify the model.

Result:

2

Totally 7 characteristic peaks were obtained in the fingerprints of

S

.

miltiorrhiza

leaves. Kendalls tau-b correlation analysis showed the correlations between the blood circulating activity of

S

.

miltiorrhiza

stems and leaves and the 7 characteristic peak areas. The steep slope map analysis showed five optimal principal components of the model

namely protocatechualdehyde

caffeic acid

common peak 5 (to be identified)

rosmarinic acid and salvianolic acid B. Among them

protocatechualdehyde

common peak 5 and salvianolic acid B showed a positive correlation with the activity of blood circulation

while caffeic acid and rosmarinic acid showed a negative correlation with the activity of blood circulation

with low mean relative errors between the predicted value and the measured value.

Conclusion:

2

The blood circulation activity spectrum-effect model based on enzyme activity can predict the blood circulation activity of stems and leaves of

S

.

miltiorrhiza

.