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OBJECTIVE To accurately distinguish deer-derived medicinal materials from four different position: Cervi Cornu Pantotrichum, Cervi Cornu, Cervi Cornu Degelatinatum and Deer hide. METHODS The extraction efficiency of two extraction solvent systems for four different kinds of deer-derived medicinal materials was compared, and the optimum enzymatic hydrolysis conditions of the samples were optimized to form an efficient and simple sample pretreatment process. A specific analysis method, combining chemical markers and characteristic polypeptides was established to identify four different position of deer-derived medicinal materials by using liquid chromatography-triple quadrupole mass spectrometry and mass spectrometry multi-reaction monitoring technology (MRM). And methodological experiments were conducted as part of this analysis method. RESULTS The optimized sample pretreatment method with high extraction efficiency and good enzymatic effect was successfully applied, and the corresponding characteristic polypeptide ion pairs were successfully detected in 24 batches of samples. CONCLUSION The distinction and identification method with high-level specificity, sensitivity and robustness of deer-derived medicinal materials were established. The innovative analysis method can be effectively used to evaluate the quality of deer-derived medicinal materials, which provides a reference for ensuring and improving the quality of deer-derived medicinal materials.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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