目的 建立大薊的UPLC指紋圖譜結(jié)合化學(xué)計(jì)量學(xué)評(píng)價(jià)不同產(chǎn)地大薊的質(zhì)量。方法 采用UPLC法建立15批大薊藥材的指紋圖譜，以共有峰峰面積為依據(jù)，采用熵權(quán)法計(jì)算權(quán)重，灰色關(guān)聯(lián)度法計(jì)算相對(duì)關(guān)聯(lián)度，優(yōu)劣解距離法計(jì)算相對(duì)貼近程度，得到大薊藥材產(chǎn)地排名和各色譜峰權(quán)重。結(jié)果 共確定7個(gè)共有峰，指認(rèn)了6個(gè)成分，分別為新綠原酸、綠原酸、隱綠原酸、蒙花苷、柳穿魚(yú)葉苷和柳穿魚(yú)黃素。產(chǎn)自安徽、浙江的大薊藥材排名普遍靠前，浙江麗水產(chǎn)的大薊樣品質(zhì)量排名較優(yōu)，而江蘇產(chǎn)大薊藥材排名普遍較后，且安徽、江蘇省內(nèi)藥材排名波動(dòng)大。結(jié)論 本法可對(duì)不同產(chǎn)地的大薊藥材進(jìn)行區(qū)分，為大薊質(zhì)量評(píng)價(jià)提供參考。

Objective To evaluate the quality of Cirsii Japonici Herba from different regions by UPLC fingerprint combined with chemometrics. Methods To establish fingerprint spectra of 15 batches of Cirsii Japonici Herba. Based on the common peak area, the entropy weight method was used to calculate the weight, Grey relational analysis was used to calculate the relative correlation degree, and TOPSIS method was used to calculate the relative closeness degree. The ranking of the regions of Cirsii Japonici Herba and the weight of each chromatographic peak was obtained. Results Seven common peaks were identified, and six components were identified, namely neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, linarin, pectolinarin, and pectolinarigenin. Cirsii Japonici Herba produced in Anhui and Zhejiang Province generally rank high, while those produced in Lishui City in Zhejiang Province have better quality rankings. Cirsii Japonici Herba produced in Jiangsu Province generally rank lower, and there was significant fluctuation in the ranking of medicinal herbs in Anhui and Jiangsu Provinces. Conclusion This method can distinguish the medicinal materials of Cirsii Japonici Herba from different origins, providing reference for the quality evaluation of Cirsii Japonici Herba.

R286.02

國(guó)家工信部產(chǎn)業(yè)技術(shù)基礎(chǔ)公共服務(wù)平臺(tái)項(xiàng)目(2022-230-221);佛山市南海區(qū)重點(diǎn)領(lǐng)域科技攻關(guān)專項(xiàng)(南科[2023]20號(hào)-18)