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Seasonal and Circadian Variation of Non-Volatile Metabolites in Lippia alba Leaves.

Girlane Oliveira RochaCaroline ScabiniJayne Ferreira da Silva OliveiraDéborah Neres OliveiraLuise Carvalho MotaBrenda Novais Almeida NevesAmanda Menezes Dos SantosFlávio Mendes de SouzaUrias Santos de AraújoBruno Oliveira MoreiraMaiara Prates de AlmeidaJuliano Geraldo AmaralJorge Mauricio DavidAngélica Ferraz Gomes
Published in: Chemistry & biodiversity (2024)
The present study describes the seasonal and circadian variations of the major compounds from Lippia alba leaves. SPSS was used to identify, quantify, and associate the variations in the secondary metabolites of this species through HPLC/DAD analysis of the leaves hydroethanolic extracts of six selected L. alba specimens. For the circadian study, the samples were collected at four different daily hours in each year's season. For the seasonal study, the samples were collected monthly from the same individuals for two consecutive years (2018 and 2019). These samples were analyzed and quantified using a validated HPLC method for flavonoids, iridoids, and phenyl ethanoid glycoside. Mussaenoside, acteoside, and tricin-7-O-diglucuronide showed a moderate positive correlation between their biosynthesis and the precipitation index, while epi-loganin had a moderate negative correlation. Acteoside showed a moderate positive correlation between the minimum registered temperature and its production. Compared with previous studies, a drastic reduction (about 95 %) in the production of tricin-7-O-diglucuronide compared with previous study and this difference could be attributed to the plant's aging. Thus, the data demonstrated that lower temperatures and high rainfall could favor the production of the major L. alba active compounds (acteoside and tricin-7-O-diglucuronide) and that older plants harm their production.
Keyphrases
  • ms ms
  • physical activity
  • simultaneous determination
  • machine learning
  • artificial intelligence
  • liquid chromatography