Abstract:

To screen the effective parts from the roots of Mahonia bealei for anti-inflammatory and analgesic, and explore the application of fuzzy matter-element model in the comprehensive evaluation of anti-inflammatory and analgesic effects of different extract parts from the roots of Mahonia bealei. The acetic acid twisting method, the tail-immersion test, and the hot plate method were used, and the anti-inflammatory and analgesic effects were investigated by mouse models of plantar swelling and auricle swelling. The fuzzy matter-element model based on the weighting variation coefficient was used for the evaluation of the comprehensive intervention effect. The nearness degree was calculated and compared among the model group (M₁), positive control group (M₂), water extract group (M₃), ethanol extract group(M₄), n-butanol extract group (M₅), ethyl acetate extract group (M₆), and petroleum ether extract group (M₇) for anti-inflammatory and analgesic effects. The findings showed that different extract parts from the roots of the Mahonia bealei have anti-inflammatory and analgesic effects, but the degree varies. The values of nearness degree, defined for the anti-inflammatory and analgesic effects, were sorted from the largest to the smallest: M₆, M₄, M₃, M₅, M₂, M₇, and M₁. The fuzzy matter-element model based on the weighting variation coefficient can be used to screen the best effective extract part with ethyl acetate from roots of the Mahonia bealei and evaluate the anti-inflammatory and analgesic effects of the different extract parts from the roots of Mahonia bealei objectively and scientifically.

Key words: Mahonia bealei;antiinflammatory, analgesic, fuzzy matterelement model, effective parts