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Fourier transform infrared spectroscopy as a non-destructive method for analysing herbarium specimens

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posted on 2023-10-26, 12:42 authored by M Barnes, J Sulé-Suso, Jonathan MillettJonathan Millett, Paul RoachPaul Roach
Dried plant specimens stored in herbaria are an untapped treasure chest of information on environmental conditions, plant evolution and change over many hundreds of years. Owing to their delicate nature and irreplaceability, there is limited access for analysis to these sensitive samples, particularly where chemical data are obtained using destructive techniques. Fourier transform infrared (FTIR) spectroscopy is a chemical analysis technique which can be applied non-destructively to understand chemical bonding information and, therefore, functional groups within the sample. This provides the potential for understanding geographical, spatial and species-specific variation in plant biochemistry. Here, we demonstrate the use of mid-FTIR microspectroscopy for the chemical analysis of Drosera rotundifolia herbarium specimens, which were collected 100 years apart from different locations. Principal component and hierarchical clustering analysis enabled differentiation between three main regions on the plant (lamina, tentacle stalk and tentacle head), and between the different specimens. Lipids and protein spectral regions were particularly sensitive differentiators of plant tissues. Differences between the different sets of specimens were smaller. This study demonstrates that relevant information can be extracted from herbarium specimens using FTIR, with little impact on the specimens. FTIR, therefore, has the potential to be a powerful tool to unlock historic information within herbaria.

Funding

NERC discipline hopping award

History

School

  • Social Sciences and Humanities

Department

  • Chemistry

Published in

Biology Letters

Volume

19

Issue

3

Publisher

The Royal Society

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.

Acceptance date

2023-02-27

Publication date

2023-03-22

Copyright date

2023

ISSN

1744-9561

eISSN

1744-957X

Language

  • en

Depositor

Prof Paul Roach. Deposit date: 25 October 2023

Article number

20220546

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