Evidence map›Paper›PMID 42108314›Full record

ArticleJournal of chemical ecology2026

The Use of FTIR Spectra for Classifying Plant Items in a Vertebrate Herbivore's Diet.

Marcel Schäfer, Margit Zohmann-Neuberger, Jennifer Sorensen Forbey, Johannes Tintner-Olifiers, Angelika Hromatka, Erich Inselsbacher, Chloé Dépré, Ólafur Karl Nielsen, Ursula Nopp-Mayr

Abstract read
In one paragraph

Article in Journal of chemical ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Marcel SchäferInstitute of Wildlife Biology and Game Management, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Gregor-Mendel-Strasse 33, Vienna, 1180, Austria.
Margit Zohmann-NeubergerInstitute of Wildlife Biology and Game Management, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Gregor-Mendel-Strasse 33, Vienna, 1180, Austria. margit.zohmann@boku.ac.at.ORCID http://orcid.org/0000-0002-1388-1658
Jennifer Sorensen ForbeyDepartment of Biological Sciences, Boise State University, 1910 University Drive, Idaho, Boise, ID, 83725-1515, USA.ORCID http://orcid.org/0000-0001-6069-4049
Johannes Tintner-OlifiersInstitute of Statistics, Department of Natural Sciences and Sustainable Resources, BOKU University, Peter Jordan-Strasse 82, Vienna, 1190, Austria.ORCID http://orcid.org/0000-0002-2552-1270
Angelika HromatkaInstitute of Soil Research, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Peter Jordan-Strasse 82, Vienna, 1190, Austria.
Erich InselsbacherInstitute of Soil Research, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Peter Jordan-Strasse 82, Vienna, 1190, Austria.ORCID http://orcid.org/0000-0001-5490-8768
Chloé DépréNatural Science Institute of Iceland, Smiðjuvellir 28, 300, Akranes, Iceland.
Ólafur Karl NielsenNatural Science Institute of Iceland, Smiðjuvellir 28, 300, Akranes, Iceland.ORCID http://orcid.org/0000-0002-2855-094X
Ursula Nopp-MayrInstitute of Wildlife Biology and Game Management, Department of Ecosystem Management, Climate and Biodiversity, BOKU University, Gregor-Mendel-Strasse 33, Vienna, 1180, Austria.ORCID http://orcid.org/0000-0002-0550-1096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Availability and quality of vegetation are critical factors influencing herbivore nutrition and population dynamics. Fourier-transform infrared spectroscopy (FTIR) offers a promising approach to analyze herbivore diets using spectral properties of phytochemicals to identify plant items. We evaluated the potential of FTIR to identify plant taxa and parts consumed by an herbivore species. Crop contents from 236 rock ptarmigan (Lagopus muta MONTIN) individuals from Iceland, collected over nine years, were separated into pure fractions of plant taxa and parts (e.g., berries, leaves) and analyzed using FTIR in the mid-IR region (4000 -400 cm⁻¹). We classified plant taxa and parts with PCA and Random Forests (RF) based on spectral signals. FTIR revealed distinct chemical fingerprints for plant taxa and parts, consistent with previously established variation in lipids, proteins, carbohydrates, and chemical defenses. RF yielded high classification accuracy for plant parts (96.7%) and moderate accuracy for taxa (85.5%), confirming the method's reliability. FTIR overcomes limitations of traditional genetic analyses by identifying plant parts with varying nutritional quality within species. FTIR provided insights into biochemical properties of plant items but could not distinguish chemically similar items. Future research should expand spectral reference libraries combining FTIR with quantification of phytochemicals and DNA metabarcoding.

Indexed as

HerbivoryPhytochemicalsPlantsAnimalsDietFruitPlant LeavesPrincipal Component AnalysisRandom ForestSpectroscopy, Fourier Transform InfraredPhytochemicalsChemical fingerprintsFourier-transform infrared spectroscopy (FTIR)Lagopus muta MontinPhytochemicalsRandom Forest classificationRock ptarmigan

Identifiers

PMID42108314
PMCPMC13158255

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.