Can a single wavelength be a proxy for lipid content in plant samples of Mediterranean shrublands?

Baby Elodie, Bonnal Laurent, Bastianelli Denis. 2016. Can a single wavelength be a proxy for lipid content in plant samples of Mediterranean shrublands?. . Montpellier : s.n., 10. Rencontres HélioSPIR. 17, Montpellier, France, 7 Novembre 2016/7 Novembre 2016.

Url - éditeur : https://www.heliospir.net/les-17emes-rencontres-heliospir/?lang=en

Matériel d'accompagnement : 1 poster

Résumé : In the framework of studies on the nutritional value of rangeland plants, it can sometimes be useful to have an indication of the lipid content of samples, although it is not a major component of plant vegetative parts. Heterogeneous databases gathering very diverse plants or plant parts require a very large number (several hundreds) of chemical analyses for calibration of chemical composition, so that lipids are generally not considered in such databases. The present study intends to seek for a proxy of lipid content as a single wavelength in the NIR spectrum. The objective is not to predict lipid content, but to be able to rank the plants according to their lipid content. The study is based on samples from a study on Mediterranean shrubby rangelands (“garrigue”) with mixed vegetation: grasses, shrubs, trees (Silué et al., 2016). About 250 samples from 60 species were collected in Corconne (southern France). Samples were dried mildly (55°C) and ground (1mm sieve). Spectra were collected on a FOSS NIRSYSTEM 5000 spectrometer with a wavelength range 1100-2500nm (2mm step). Then 30 samples were selected to represent the botanical diversity and the expected range of lipids. Lipid content was assessed by crude fat analysis by extraction with petroleum ether on Soxhlet. The approach was to correlate lipid content with absorption at individual wavelength, in order to identify wavelengths better representing lipids. This analysis was performed on raw spectra as well as on spectra pretreated with different derivation orders and smoothing options. The correlogram for 2nd derivative is shown as an illustration on Figure 1. The highest correlations obtained with the different pretreatements were R²=0.04 (at 1402nm) with raw spectra, 0.29 (at 1760nm) with 1st derivative, 0.63 (at 1772nm) with 2nd derivative, 0.64 (at 1782nm) with 3rd derivative. The correlation with wavelengths in the 1760-1780nm is high enough to provide a useful information on lipid content. When applied to the whole database, the lipid ranking identified the plants high in lipids (genera: Juniperus, Erica, Pinus, Rosmarinus, Asparagus, Dorycnium…) or low in lipids (Arbutus, Cistus, Asphodelus, Rubia, Hedera, Rhamnus …). However a proper validation with additional reference analyses has to be done. The high correlations with individual wavelengths suggest that a calibration of lipid content in such a database would be possible. However it would require many analyses, which is not relevant on the short term because accurate prediction of lipid content is not required. The proxy can help identifying the low / intermediate / high lipid plant parts, and can contribute to explain the feeding behavior of animals. It can also help for the selection of samples to be analyzed in the laboratory. A similar approach will be tested on fresh samples, since all samples were also scanned before drying: at this stage the volatile essential oils are still present in the samples and will provide more accurate information on secondary compounds present in the fresh plants.

Mots-clés libres : Spectrométrie dans le proche infrarouge, Plantes, Lipides

Classification Agris : F60 - Physiologie et biochimie végétale
U30 - Méthodes de recherche
Q04 - Composition des produits alimentaires

Auteurs et affiliations

• Baby Elodie, CIRAD-ES-UMR SELMET (FRA)
• Bonnal Laurent, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0001-5038-7432
• Bastianelli Denis, CIRAD-ES-UMR SELMET (FRA) ORCID: 0000-0002-6394-5920

Source : Cirad-Agritrop (https://agritrop.cirad.fr/582111/)

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