ArticleMetabolites2022
Stability of Wheat Floret Metabolites during Untargeted Metabolomics Studies.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Solvent-dependent metabolomic profiling of Acacia mearnsii bark: an untargeted metabolomics approach.Analytical and bioanalytical chemistry · 2026Article
- Mechanisms of altitude-driven mycotoxin variation in stored wheat: a metabolomic and transcriptomic approach.BMC microbiology · 2025Article
- Comprehensive improvement of nutrients and volatile compounds of black/purple rice by extrusion-puffing technology.Frontiers in nutrition · 2023Article
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Authors and funding
3 authors.
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Abstract
A typical metabolomic analysis consists of a multi-step procedure. Variation can be introduced in any analysis segment if proper care in quality assurance is not taken, thus compromising the final results. Sample stability is one of those factors. Although sophisticated studies addressing sample decay over time have been performed in the medical field, they are emerging in plant metabolomics. Here, we focus on the stability of wheat floret extracts on queue inside an auto-injector held at 25 °C. The objective was to locate an analytical time window from extraction to injection with no significant difference occurring in the sample. Total ion current chromatograms, principal component analysis, and volcano plots were used to measure changes in the samples. Results indicate a maximum work window time of 7:45 h for Steele-ND wheat methanolic extractions in an auto-sampler at 25 °C. Comparisons showed a significant gradual increase in the number and intensity of compounds observed that may be caused by the degradation of other molecules in the sample extract. The approach can be applied as preliminary work in a metabolite profiling study, helping to set the appropriate workload to produce confident results.
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