Comparison of sequential derivatization with concurrent methods for GC/MS-based metabolomics

Miyagawa, Hiromi; Bamba, Takeshi

doi:10.1016/j.jbiosc.2018.07.015

Cited by 31 publications

(21 citation statements)

References 24 publications

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“…In particular, amino acids can form by-products upon silylation. So is the case of glutamic acid and glutamine, that can both yield pyroglutamate (for a recent discussion on this issue, see (Miyagawa & Bamba, 2019)). It is also the case of arginine, which is known to yield several products (Molnar-Perl & Katona, 2000), and here it formed four products (Fig.…”

Section: Application To Plant Samplesmentioning

confidence: 99%

Exact mass GC-MS analysis: protocol, database, advantages and application to plant metabolic profiling

Abadie

Lalande

Tcherkez

2022

Preprint

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Plant metabolomics has been used widely in plant physiology, in particular to analyse metabolic responses to environmental parameters. Derivatization (via trimethylsilylation-methoximation) followed by GC-MS metabolic profiling is a major technique to quantify low molecular weight, common metabolites of primary carbon, sulphur and nitrogen metabolism. There are now excellent opportunities for new generation analyses, using high resolution, exact mass GC-MS spectrometers that are progressively becoming relatively cheap. However, exact mass GC-MS analyses for routine metabolic profiling are not common, there is no dedicated available database. Also, exact mass GC-MS is usually dedicated to structural resolution of targeted secondary metabolites. Here, we present a curated database for exact mass metabolic profiling (made of 336 analytes, 1,064 characteristic exact mass fragments) focused on molecules of primary metabolism. We show advantages of exact mass analyses, in particular to resolve isotopic patterns, localise S-containing metabolites, and avoid identification errors when analytes have common nominal mass peaks in their spectrum. We provide a practical example using leaves of different Arabidopsis ecotypes and show how exact mass GC-MS analysis can be applied to plant samples and identify metabolic profiles.

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Section: Application To Plant Samplesmentioning

confidence: 99%

Exact mass GC-MS analysis: protocol, database, advantages and application to plant metabolic profiling

Abadie

Lalande

Tcherkez

2022

Preprint

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“…Anhydrous pyridine acts as an acid scavenger and accelerates derivatization [103]. Therefore, the silylation is usually completed at room temperature or heating within an hour to 60-70 • C [104]. Controlled microwave radiation reduces reaction times to minutes [103,105].…”

Section: Derivatizationmentioning

confidence: 99%

Defining Blood Plasma and Serum Metabolome by GC-MS

et al. 2021

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Metabolomics uses advanced analytical chemistry methods to analyze metabolites in biological samples. The most intensively studied samples are blood and its liquid components: plasma and serum. Armed with advanced equipment and progressive software solutions, the scientific community has shown that small molecules’ roles in living systems are not limited to traditional “building blocks” or “just fuel” for cellular energy. As a result, the conclusions based on studying the metabolome are finding practical reflection in molecular medicine and a better understanding of fundamental biochemical processes in living systems. This review is not a detailed protocol of metabolomic analysis. However, it should support the reader with information about the achievements in the whole process of metabolic exploration of human plasma and serum using mass spectrometry combined with gas chromatography.

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“…Sample derivatization is one of the pre-treatment procedures commonly used in GC–MS analysis of metabolites to modify polarity and facilitate chromatographic separation on a column of low polarity ( Moros et al, 2017 ). One-step reactions are preferred, but sometimes, two-step derivatizations are more desirable when the obtained derivatives show better chromatographic separation or more adequate mass fragmentation ( Miyagawa & Bamba, 2019 ).…”

Section: Metabolomics In Wine and Alcoholic Beveragesmentioning

confidence: 99%