Xie Feifei, Ye Cong, Qiu Haibao, Lu Xiaoying, Qu Liyuan, Ling Zhizhou, Li Zhenyu, Sun Dongmei, He Minyou, Zhou Lin, Luo Wenhui
Guangzhou University of Traditional Chinese Medicine Guangzhou China.
Guangdong Yifang Pharmaceutical co., Ltd. Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Formula Foshan China.
Food Sci Nutr. 2025 Sep 1;13(9):e70856. doi: 10.1002/fsn3.70856. eCollection 2025 Sep.
Folium (AAF) is a traditional medicinal and edible material. However, the pharmacologically active compounds and quality control of AAF have not been fully investigated. To solve these problems, we developed a novel method based on HPLC-Q-Exactive Orbitrap-HRMS for rapid identification of chemical compounds in AAF. Forty-five compounds were identified tentatively, mostly consisting of flavonoids and phenylpropanoids, and their fragmentation pathways were elucidated. Additionally, we present the first report on the HPLC-UV fingerprints of AAF from genuine production areas, combined with chemometric analysis to elucidate the differences in the quality of AAF from different regions. Our results showed significant differences in the compounds of AAF from different production areas, and these variations could lead to inconsistencies in quality during large-scale production. To ensure quality stability during the actual production process, it is essential to establish a method for rapid quantification of markers representing the potential differences in AAF quality. In this study, we developed a novel method called quantitative analysis of multicomponents by single marker for the simultaneous measurement of six phenylpropanoids and two flavonoids. Our study provides an analytical method and scientific basis for the standardized production, component analysis, and quality control of AAF as a functional food raw material.
艾叶是一种传统的药食两用材料。然而,艾叶的药理活性成分和质量控制尚未得到充分研究。为了解决这些问题,我们开发了一种基于高效液相色谱-四极杆-静电场轨道阱-高分辨质谱(HPLC-Q-Exactive Orbitrap-HRMS)的新方法,用于快速鉴定艾叶中的化学成分。初步鉴定出45种化合物,主要为黄酮类和苯丙素类,并阐明了它们的裂解途径。此外,我们首次报道了道地产区艾叶的高效液相色谱-紫外指纹图谱,并结合化学计量学分析来阐明不同产地艾叶质量的差异。我们的结果表明,不同产地艾叶的化合物存在显著差异,这些差异可能导致大规模生产过程中质量不一致。为确保实际生产过程中的质量稳定性,建立一种快速定量代表艾叶质量潜在差异的标志物的方法至关重要。在本研究中,我们开发了一种名为“一测多评法”的新方法,用于同时测定六种苯丙素类和两种黄酮类化合物。我们的研究为艾叶作为功能性食品原料的标准化生产、成分分析和质量控制提供了一种分析方法和科学依据。