ArticleMolecules (Basel, Switzerland)2021
An Optimized SPME-GC-MS Method for Volatile Metabolite Profiling of Different Alfalfa (
Article in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- Effects of Amaranth Seed- and Bambara Groundnut-Based Media on the Aroma-Active Volatile and Amino Acid Profiles of Oyster Mushroom (Foods (Basel, Switzerland) · 2026Article
- Performance of Different Fibers in the Extraction Parameters of Volatile Compounds Present in Alecrim-Do-Campo (Metabolites · 2026Article
- The MoroccanFoods (Basel, Switzerland) · 2025Article
- Impact of Nectar Composition and Nectar Yeasts on Volatile Emissions and Parasitoid Behavior.Journal of chemical ecology · 2025Article
- The antennal transcriptome analysis and characterizations of odorant-binding proteins in Megachile saussurei (Hymenoptera, Megachilidae).BMC genomics · 2023Article
- Arbuscular Mycorrhizal Fungus Alters Alfalfa (Journal of fungi (Basel, Switzerland) · 2022Article
- The Difference of Volatile Compounds in Female and Male Buds ofMolecules (Basel, Switzerland) · 2022Article
- Discrimination and Characterization of the Volatile Organic Compounds inMolecules (Basel, Switzerland) · 2022Article
- SPME-GC-MS combined with chemometrics to assess the impact of fermentation time on the components, flavor, and function of Laoxianghuang.Frontiers in nutrition · 2022Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
Solid-phase microextraction (SPME) was coupled to gas chromatography mass spectrometry (GC-MS) and a method optimized to quantitatively and qualitatively measure a large array of volatile metabolites in alfalfa glandular trichomes isolated from stems, trichome-free stems, and leaves as part of a non-targeted metabolomics approach. Major SPME extraction parameters optimized included SPME fiber composition, extraction temperature, and extraction time. The optimized SPME method provided the most chemically diverse coverage of alfalfa volatile and semi-volatile metabolites using a DVB/CAR/PDMS fiber, extraction temperature of 60 °C, and an extraction time of 20 min. Alfalfa SPME-GC-MS profiles were processed using automated peak deconvolution and identification (AMDIS) and quantitative data extraction software (MET-IDEA). A total of 87 trichome, 59 stem, and 99 leaf volatile metabolites were detected after background subtraction which removed contaminants present in ambient air and associated with the fibers and NaOH/EDTA buffer solution containing CaCl
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