Effects of extraction parameters on lipid profiling of mosses using UPLC-ESI-QTOF-MS and multivariate data analysis

Yi Lu, Finnur Freyr Eiríksson, Margrét Þorsteinsdóttir, Henrik Toft Simonsen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction: Non-target lipid profiling by using ultra-performance liquid chromatography coupled to electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-QTOF-MS) has been used extensively in the past decades in plant studies. However, the lipidomes of bryophytes have only been scarcely studied, although they are the second largest group in plant kingdom. Objectives: We evaluated the effects of different cell disruption methods (no disruption, shake, ultrasound, and bead beating), and storage conditions (air-dried, freeze-dried, and fresh frozen) of five moss species (including Racomitrium lanuginosum B and D, Philonotis fontana, Sphagnum teres, and Hylocomium splendens). Methods: The lipid profiling results of each extraction parameter were analyzed by using multivariate data analysis including unsupervised principal component analysis and supervised orthogonal projections to latent structures discriminant analysis. Results: The results showed that extraction with bead beating resulted in the highest lipid content and the most detected features, but these were caused by the contamination from plastic tubes. Minor lipid metabolite changes were found in shaking and ultrasonication methods when compared with no disruption method. Significant amounts of phosphatidylcholine, diacylglyceryltrimethylhomoserine and their lyso lipids were observed in air-dried moss tissues, whereas diacylglycerol, triacylglycerol and ceramide were mostly exclusively detected when fresh frozen tissues were used for extraction. Conclusion: We concluded that lipid extraction using fresh frozen samples with ultrasound assistance provide the most original lipid composition and gave a relatively high lipid content.

Original languageEnglish
Article number96
JournalMetabolomics
Volume17
Issue number11
DOIs
Publication statusPublished - 20 Oct 2021

Bibliographical note

Funding text 1
This study is funded by Marie Sklodowska-Curie Actions, Innovative Training Networks under European Union Horizon 2020 programme under grant agreement No. 765115—MossTech.

Funding text 2
The authors would like to acknowledge Dr. Maonian Xu, University of Iceland, for the help of grinding plant materials in liquid nitrogen. The authors also would like to thank Associate Professor Nils Cronberg from Lund University for species identification.

Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Other keywords

  • Bryophytes
  • Lipidomics
  • Mass spectrometry
  • Multivariate data analysis
  • Sample preparation
  • UPLC

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