Department of Pharmaceutical Science, Zunyi Medical University at Zhuhai Campus, Zhuhai, Guangdong, PR China.
Qilu University of Technology (Shandong Academy of Sciences), Shandong Analysis and Test Centre, Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Jinan, China.
J Pharm Biomed Anal. 2020 Jun 5;185:113177. doi: 10.1016/j.jpba.2020.113177. Epub 2020 Feb 14.
The bulbs of Fritillaria have been used for centuries as food and medicinal products in many Asian countries. Different Fritillaria species have distinct pharmacological effects despite of their similar appearances. Effective differentiation of Fritillaria species can avoid adulteration and is crucial to its clinical uses. In this paper, a hybrid method of matrix assisted laser desorption/ionization mass spectrometry and multivariate statistical analysis was developed for the rapid and reliable differentiation of Fritillaria species for the first time. Significantly different patterns for five Fritillaria species were obtained by MALDI-MS after instant sample extractions. Different groups of Fritillaria were confidently differentiated via an orthogonal partial least square model. In addition, a metabolomic taxonomy of five Fritillaria species was obtained based on MALDI-MS data.
百合属植物的鳞茎在亚洲的许多国家已经被作为食物和药用产品使用了几个世纪。尽管外观相似，但不同的百合属物种具有明显不同的药理作用。有效地区分百合属物种可以避免掺假，对其临床应用至关重要。本文首次建立了基质辅助激光解吸电离质谱与多元统计分析相结合的方法，用于快速可靠地区分百合属物种。通过 MALDI-MS 对即时提取的样品进行分析，获得了 5 种百合属物种的显著不同的图谱。通过正交偏最小二乘模型可以自信地区分不同组的百合属。此外，还基于 MALDI-MS 数据获得了 5 种百合属物种的代谢组分类学。
