目的 采用多指標(biāo)成分定量結(jié)合化學(xué)計(jì)量學(xué)對(duì)不同產(chǎn)地野生白鮮Dictamnus dasycarpus皮樣品進(jìn)行綜合質(zhì)量評(píng)價(jià)并建立產(chǎn)地識(shí)別模型。方法 采用高效液相色譜法同時(shí)測(cè)定野生白鮮皮中漢黃芩素、檸檬苦素、白鮮堿、黃柏酮、梣酮5種活性成分的含量。結(jié)合相關(guān)性分析、差異性分析及主成分分析對(duì)不同產(chǎn)地野生白鮮皮進(jìn)行質(zhì)量評(píng)價(jià)；利用系統(tǒng)聚類、正交偏最小二乘法-判別分析及Fisher線性判別建立野生白鮮皮的產(chǎn)地識(shí)別模型。結(jié)果 不同產(chǎn)地野生白鮮皮化學(xué)成分含量測(cè)定結(jié)果存在差異，可通過(guò)5種成分含量進(jìn)行區(qū)分。其中內(nèi)蒙古的樣品質(zhì)量較好，遼寧的樣品其次，吉林的樣品質(zhì)量稍差。利用系統(tǒng)聚類可初步對(duì)產(chǎn)地進(jìn)行識(shí)別，但遼寧仍有部分樣品無(wú)法準(zhǔn)確識(shí)別；正交偏最小二乘法-判別分析可準(zhǔn)確將樣品產(chǎn)地進(jìn)行分類，F(xiàn)isher線性判別模型結(jié)果可準(zhǔn)確判別未知產(chǎn)地的野生白鮮皮樣品，準(zhǔn)確率為100%。結(jié)論 以多指標(biāo)成分定量結(jié)合化學(xué)計(jì)量學(xué)建立的評(píng)價(jià)方法明確了野生白鮮皮質(zhì)量較好的產(chǎn)地，評(píng)價(jià)了不同產(chǎn)地野生白鮮皮的質(zhì)量，建立的野生白鮮皮產(chǎn)地識(shí)別模型準(zhǔn)確可靠，為野生白鮮皮質(zhì)量控制及產(chǎn)地快速鑒別提供依據(jù)。

Objective To undertake a comprehensive quality assessment of wild Baixianpi (Dictamni Cortex) samples from diverse origins through multi-index component quantification in conjunction with chemometrics and establish an origin identification model. Method The contents of five active components, namely limonin, wogonin, dictamnine, obacunone and fraxinellon, in wild Dictamni Cortex were concurrently determined by high performance liquid chromatography. The quality of wild Dictamni Cortex from different origins was evaluated by integrating correlation analysis, difference analysis, and principal component analysis. The origin identification model of wild Dictamni Cortex was constructed by applying systematic clustering, orthogonal partial least squares-discriminant analysis, and Fisher's linear discriminant. Results There were disparities in the determination outcomes of chemical components in wild Dictamni Cortex from different origins, which could be discriminated based on the contents of the five components. Among them, the samples from Inner Mongolia exhibited superior quality, followed by those from Liaoning, while the samples from Jilin presented slightly inferior quality. The origin could be initially identified through systematic clustering, yet some samples from Liaoning could still not be precisely identified. Orthogonal partial least squares-discriminant analysis could accurately categorize the origin of the samples, and the results of the Fisher's linear discriminant model could precisely discriminate the samples of wild Dictamni Cortex from unknown origins, with an accuracy rate of 100%. Conclusion The evaluation approach established by multi-index component quantification combined with chemometrics clarified the origins with better quality of wild Dictamni Cortex, evaluated the quality of wild Dictamni Cortex from different origins, and the established origin identification model of wild Dictamni Cortex was precise and reliable, providing a foundation for the quality control and rapid origin identification of wild Dictamni Cortex.

R286.2

遼寧省“興遼英才計(jì)劃”教學(xué)名師項(xiàng)目(XLYC2211011)；遼寧省科技廳科技特派行動(dòng)計(jì)劃項(xiàng)目—遼寧省喀左縣中藥材科技特派團(tuán)（2024JH5/10400152）；通遼市科技計(jì)劃項(xiàng)目“通遼市6種道地藥材生態(tài)適宜性區(qū)劃和品質(zhì)區(qū)劃研究”（TL2023YF035）