MassIVE MSV000097746

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Optimization of a solid phase microextraction (SPME) method for analyzing litter volatiles

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Description

Leaf metabolomes are constantly changing in response to biotic and abiotic conditions, alongside internal physiological processes. Additionally, the diversity of plant species in a surrounding community influences the leaf metabolome. However, it is rarely considered how these changes might affect the chemical composition of litter emissions, which can mediate interactions with the decomposer community. To study these effects, reproducible methods for trapping litter volatiles are essential, particularly for analyzing larger sample numbers and after longer storage periods. This study optimized and validated a solid-phase microextraction (SPME) method for analyzing small amounts of litter from Quercus petraea within a biodiversity ecosystem functioning experiment. The SPME optimization focused on the fiber material, extraction temperature, and duration of sampling. The final optimized method, using a PDMS/DVB fiber and 60-minute extraction at 70 degrees celsius, demonstrated a high reproducibility, with %RSD values ranging from 0.073 to 0.119% (intraday) and 0.115 to 0.169% (interday) for retention time, and 4.41 to 7.72% (intraday) and 7.67 to 11.0% (interday) for peak area. This makes it a reliable and reproducible approach for the collection and analysis of litter volatiles. After validation, this method was applied to test the hypothesis that oak leaf litter volatile profiles are influenced by the surrounding biodiversity. The results showed that the main compound classes in oak leaf litter were fatty acids and terpenoids. Furthermore, plot diversity level was negatively correlated with terpenoid emission rates. By detecting these changes in volatile composition, we gained further insights into how tree diversity affects litter chemistry, which may also impact the decomposer network. [doi:10.25345/C59C6SD08] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: sessile oak litter ; leaf litter volatiles ; method development ; volatile organic compound analyses ; HS-SPME ; terpenes ; diversity ; emission ; DatasetType:Metabolomics

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Principal Investigators:
(in alphabetical order) 		Gabriela A. S. Escaliante, German Centre for Integrative Biodiversity Research (iDiv), Germany
Submitting User: gabrielaescaliante
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