Metabolomics approaches are becoming popular for a rational and efficient approach to standardize research including optimal harvest time determination to improve the values of plant raw materials. In this study, multivariate statistical analysis of metabolites from Artemisia gmelinii Weber ex Stechm (AG) by growth stage according to harvest time (from June to October) was performed by ultra-performance liquid chromatography (UPLC) coupled with quadrupole time of flight mass spectrometry (Q-TOF/MS). Secondary metabolite analysis through PCA provided clearly distinguishable patterns and qualitative R²X values (93.7%) for the corresponding markers. From the OPLS-DA, ten phenolic compounds were found as biomarkers exhibiting distinct patterns according to the harvesting periods (June-Aug: five phenolic acids, Aug-Oct: five flavonoids), and the contents of these phenolic compounds, well-known antioxidants, were increased according to the growth period (Oct > Aug > June). In conclusion, the harvesting time of plant raw materials could be sufficiently determined through the metabolomics study of secondary metabolites.

代谢组学方法作为一种合理有效的方法来标准化研究（包括确定最佳收获时间以提高植物原材料的价值）正变得越来越流行。在这项研究中，通过超高效液相色谱 (UPLC) 与四极杆飞行时间质谱联用，根据收获时间（从 6 月到 10 月）按生长阶段对 Artemisia gmelinii Weber ex Stechm (AG) 的代谢物进行多元统计分析(Q-TOF/MS)。通过 PCA 进行的次级代谢物分析提供了清晰可辨的模式和定性 R ²相应标记的 X 值 (93.7%)。从 OPLS-DA 中，发现十种酚类化合物作为生物标志物，根据收获期（6 月至 8 月：5 种酚酸，8 月至 10 月：5 种类黄酮）以及这些酚类化合物的含量，众所周知的抗氧化剂，根据生长期（十月 > 八月 > 六月）增加。总之，通过次级代谢产物的代谢组学研究可以充分确定植物原料的收获时间。