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Orientador(es)
Resumo(s)
Appropriate experimental design and sample preparation are key steps in metabolomics
experiments, highly influencing the biological interpretation of the results. The sample preparation
workflow for plant metabolomics studies includes several steps before metabolite extraction and
analysis. These include the optimization of laboratory procedures, which should be optimized
for di erent plants and tissues. This is particularly the case for trees, whose tissues are complex
matrices to work with due to the presence of several interferents, such as oleoresins, cellulose. A good
experimental design, tree tissue harvest conditions, and sample preparation are crucial to ensure
consistency and reproducibility of the metadata among datasets. In this review, we discuss the main
challenges when setting up a forest tree metabolomics experiment for mass spectrometry (MS)-based
analysis covering all technical aspects from the biological question formulation and experimental
design to sample processing and metabolite extraction and data acquisition. We also highlight the
importance of forest tree metadata standardization in metabolomics studies
Descrição
Review
Palavras-chave
plant metabolomics forestry trees mass spectrometry metabolite extraction GC-MS LC-MS metadata standardization databases
Contexto Educativo
Citação
Metabolites 2019, 9, 285
Editora
MDPI
