He Jiao, Zhang Qian, Ma Cuiying, Giancaspro Gabriel I, Bi Kaishun, Li Qing
School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, China.
Department of Dietary Supplements and Herbal Medicines, Science Division, United States Pharmacopeial Convention, Rockville, MD, United States.
Front Pharmacol. 2021 Apr 22;12:575726. doi: 10.3389/fphar.2021.575726. eCollection 2021.
. morifolium flower and flower are two closely related herbal species with similar morphological and microscopic characteristics but are discriminated in edible and medicinal purpose. However, there is no effective approach to distinguish the two herbs. A novel workflow for quickly differentiating flower and flower was developed. Firstly, the difference in anti-inflammatory effects for flower and flower was characterized using lipopolysaccharide-treated rats. Then HPLC fingerprint analysis for 53 batches of flowers and 33 batches of flower was carried out to deep profile the chemical components. The preliminary markers were screened out by OPLS-DA, identified by HPLC-ESI-QTOF-MS, and quantified by the improved SSDMC (single reference standard to determine multiple compounds) approach. Finally, multiple statistical data mining was performed to confirm the markers and a binary logistic regression equation was built to differentiate flower and flower successfully. In general, the established workflow was rapid, effective and highly feasible, which would provide a powerful tool for herb identification.
某花和某花是两种密切相关的草本植物，具有相似的形态和微观特征，但在食用和药用目的上有所区分。然而，目前尚无有效的方法来区分这两种草药。为此开发了一种快速区分某花和某花的新流程。首先，利用脂多糖处理的大鼠来表征某花和某花在抗炎作用方面的差异。然后对53批某花和33批某花进行HPLC指纹图谱分析，以深入剖析其化学成分。通过OPLS-DA筛选出初步标志物，采用HPLC-ESI-QTOF-MS进行鉴定，并通过改进的SSDMC（单参考标准测定多种化合物）方法进行定量。最后，进行多重统计数据挖掘以确认标志物，并建立二元逻辑回归方程成功区分某花和某花。总体而言，所建立的流程快速、有效且高度可行，将为草药鉴定提供有力工具。
