ArticleFrontiers in plant science2026
Exploring dynamic changes in metabolic profiles of
Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Introduction: Methods: Mass spectrometry-based metabolomic platforms were applied for chemical profiling of AAL samples from 8 distinct growth stages. HS-GC-MS, pre-column derivatization GC-MS and UHPLC-Q-TOF-MS was applied for both volatile and non-volatile metabolite analysis. Orthogonal partial least squares-discriminant analysis and clustering analysis were further carried out for screening of differential components. A dynamic metabolism network of AAL was constructed by mapping annotated metabolites on their biosynthetic pathways. Results: HS-GC-MS enabled annotation of 44 volatile metabolites, comprising 36 monoterpenoids, 3 sesquiterpenoids, 3 alcohols, and 2 aromatic hydrocarbons. Pre-column derivatization GC-MS analysis allowed detection of 88 metabolites, including 38 sugar derivatives, 21 amino acids, 16 organic acids, and 13 miscellaneous metabolites. UHPLC-Q-TOF-MS further enabled the detection of additional of 44 metabolites, including 26 flavonoids, 12 phenolic acids, 5 coumarins, and 1 terpenoid. Most monoterpenoids and phenolic acids displayed significantly higher ( Discussion: The comprehensive profile of major metabolites in AAL across growth stages provides a scientific basis for the quality evaluation and sustainable exploitation of AAL medicinal resources.
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